Updated on 2022/05/19

写真a

 
YOSHIDA, Akira
 
Affiliation
Research Council (Research Organization), Advanced Collaborative Research Organization for SmartSociety
Job title
Junior Researcher(Assistant Professor)
Homepage URL

Concurrent Post

  • Faculty of Science and Engineering   School of Fundamental Science and Engineering

Education

  • 2012.04
    -
    2015.03

    Waseda University   Graduate School of Fundamental Science and Engineering   Department of Applied Mechanics and Aerospace Engineering  

  • 2010.04
    -
    2012.03

    Waseda University   Graduate School of Fundamental Science and Engineering   Department of Applied Mechanics and Aerospace Engineering  

  • 2006.04
    -
    2010.03

    Waseda University   Science and Engineering   Mechanical Engineering  

Degree

  • Waseda University   D. Eng.

  • Waseda University   M. Eng.

Research Experience

  • 2019.04
    -
    2022.03

    Advanced Collaborative Research Organization for Smart Society   Assistant Professor/Junior Researcher

  • 2018.04
    -
    2019.03

    School of Fundamental Science and Engineering   Department of Applied Mechanics and Aerospace Engineering   Assistant Professor

  • 2016.04
    -
    2018.03

    School of Fundamental Science and Engineering   Department of Applied Mechanics and Aerospace Engineering   Assistant Professor

  • 2013.04
    -
    2016.03

    School of Fundamental Science and Engineering   Department of Applied Mechanics and Aerospace Engineering   Research Associate

Professional Memberships

  •  
     
     

    Institute of Electrical and Electronics Engineers

  •  
     
     

    Society of Instrument and Control Engineers

  •  
     
     

    Japan Society of Energy and Resources

  •  
     
     

    American Society of Mechanical Engineers

  •  
     
     

    Japan Society of Mechanical Engineers

 

Research Areas

  • Control and system engineering   モデル予測制御

  • Earth resource engineering, Energy sciences   省エネルギー

  • Robotics and intelligent system

Research Interests

  • Demand-side energy resource

  • Energy management system

  • Optimal control

  • Optimal operation

  • Optimal design

  • Energy Saving

▼display all

Papers

  • Operational Planning of a Residential Fuel Cell System for Minimizing Expected Operational Costs Based on a Surrogate Model

    Yuta Tuchiya

    IEEE Access   8   173983 - 173998  2020.09  [Refereed]

    DOI

  • Combinatorial Optimization-based Hierarchical Management of Residential Energy Systems as Virtual Power Plant

    Toranosuke Saito

    Proceedings of the SICE Annual Conference 2020     1833 - 1839  2020.09  [Refereed]

     View Summary

    © 2020 The Society of Instrument and Control Engineers - SICE. The supply-demand adjustment market in Japan will be opened in 2021, and it is expected to contribute to a virtual power plant (VPP) to gather distributed energy resources even from residential sector. The problem is to integrate residential sector that respond differently depending on the characteristics of each household, with keeping protecting consumer privacy. This article proposes a hierarchical management method that realizes VPP in residential sector. The proposed framework meets the requirements to join a market. The proposed method gets evaluated in numerical experiments. We aim to aggregate 1 MW controllable electricity with 4, 000 detached household. The results show that the proposed method could achieve an amount of electricity of the procurement target in computing time of 10 minutes.

  • Feasibility of 100% renewable energy system in residential area and a multi-dwelling building with photovoltaic and electric vehicle

    Hiroto Nakazawa, Shinya Katayama, Akira Yoshida, Yoshiki Nagasaki, Shin Onodera, Kazuyuki Kobayashi, Yoshiharu Amano

    ECOS 2020 - Proceedings of the 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems     1295 - 1306  2020.06  [Refereed]

     View Summary

    © ECOS 2020.All right reserved. The utilization of "100% renewable energy" has recently attracted considerable interest in view of the objective of achieving a low-carbon society. An approach that seems effective to realize this goal is the purchase of renewable electricity from the power grid. However, the amount of renewable electricity that the power grid can supply at various seasons and periods is limited. In view of this, it is necessary to consider the use of energy systems that can exploit renewable energy, such as the installation of photovoltaics in households. The purpose of this study is to investigate the feasibility of 100% renewable energy systems in residential areas and multi-dwelling buildings. The area and building examined are limited to a set of "all-electric houses" with electric vehicles, photovoltaics, and heat pump water heaters. In each case, the electricity self-sufficiency ratio and electricity self-consumption ratio resulting from the use of photovoltaics are derived. In this study, an operation that minimizes CO2 emissions during the evaluation period is developed. It is found that the use of 100% renewable energy in residential areas without relying on the renewable electricity from the power grid is possible as demonstrated by the high feasibility of using 100% renewable energy in rural areas. In multidwelling buildings, this feasibility is lower than that in residential areas. To achieve the utilization of 100% renewable energy using the renewable electricity from the power grid, the grid should increase its supply of renewable electricity at dawn and in the evening. In winter, the renewable electricity from the photovoltaic power alone is insufficient; hence, the power grid requires other renewable electricity sources, such as windgenerated power. To improve the electricity self-sufficiency ratio of multi-dwelling buildings, the use of an energy system that allows electricity sharing from the residential areas to multi-dwelling buildings is found effective.

  • A study into the feasibility of introducing a CO2 network system for district heating and cooling in Tokyo

    Takahiro Nagano, Jungo Kajita, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2020     1792 - 1803  2020.06  [Refereed]

     View Summary

    © ECOS 2020.All right reserved. Reducing CO2emissions by the effective use of renewable energy is one of the most important issues globally. Therefore, research has focused on both the development of individual high-performance equipment and also district heating and cooling systems. In Japan, installations of the conventional district heating and cooling system, which utilizes steam and chilled water, are rare. In recent years, a promising alternative, the CO2network system, has been proposed by researchers at Swiss Federal Institute of Technology in Lausanne. The system uses the latent heat of vaporization of the CO2refrigerant to transport and exchange unused heat to specific areas via decentralized heat pumps on the demand-side. The proposed system is expected to significantly reduce energy consumption compared with the conventional system. In this study, we analyzed the energy-saving effects of introducing a CO2network system in Tokyo, with consideration of the environmental conditions and the typical energy demand profiles. The effects of modifying the central unit and the demand-side decentralized heat pump systems were examined in the context of Tokyo. When using the CO2network, the annual energy consumption resulting from equipment operation can be reduced by approximately 80% compared with the conventional system. This effect is almost of the same magnitude as the effect observed in previous research conducted in Switzerland. Furthermore, we examined the optimum connection pattern of the decentralized heat pumps and the optimum temperature of the CO2supplied to the network.

  • Fast Hierarchical Coordination Using Price Signal for Town-scale Home-EMSs Aggregation with Digital Annealer

    Toranosuke Saito, Shinya Katayama, Akira Yoshida, Takahiro Kashikawa, Koichi Kimura, Yoshiharu Amano, Yasuhiro Hayashi

    Proc. ECOS2020     1662 - 1673  2020.06  [Refereed]

     View Summary

    © ECOS 2020.All right reserved. The demand response (DR), which balances power supply and demand, is attracting attention as a method of absorbing fluctuations in renewable energy when output is unstable. Since the Great East Japan Earthquake in 2011, Japan has made progress toward the liberalization of electricity and the introduction of renewable energy. In 2021, a supply and demand adjustment market will be opened. Unlike companies and factories, which can control large amounts of power for long periods, household demand has a small capacity and is short term. However, household demand is expected to be able to respond quickly to emergencies and to secure capacity by consolidating multiple households via an aggregator. This study concerns two problems in assessing town-scale residential DR capability. First, we evaluate residential DR response capacity. This capacity is assumed to be pre-cooling heating by an air conditioner according to thermal insulation and heat capacity characteristics, and energy storage by a hot water storage tank and a power storage device. Next, we investigate implementing the optimization of the town-scale DR by an aggregator. Optimal town-scale aggregation proposals are often formulated in large-scale combinatorial optimization problems. The challenge is that the calculation tends to be time-consuming and difficult to solve. In this research, we propose a framework that can be solved at high speed using digital annealer. Finally, we evaluate the possibility of town-scale residential DR in specific areas of Tokyo.

  • A Convolutional Neural Network Model for Prediction of Pressure-drop at Wellhead in Geothermal Power Plant

    Akira Yoshida, Atsuhiro Imagawa, Norihiro Fukuda, Yoshiharu Amano

    Proc. ECOS2020     1352 - 1363  2020.06  [Refereed]

     View Summary

    © ECOS 2020.All right reserved. The objective of the research is to develop an optimal management and control framework to contribute to improving the capacity factor of the geothermal power plant. As the initial consideration of the study, the article aims to identify the phenomenon that causes to decrease capacity factor from the analysis of a process data, to detect the phenomenon to support the decision-making of operators. For achieving the latter goal, we construct the framework that announces the operator to how much anomaly with a convolutional neural network model, which can capture non-stationary and nonlinearity of process data. Through the literature survey and the analysis of the process data, we confirmed that the steam flow rate and pressure of wellbore having two feed zones oscillate, and the wellbore reached the spurts stop of the steam due to oscillation growth. We confirmed that the pressure-drop events occurred six times in 2018, and it would be one of the causes to decrease capacity factor. As numerical results of the proposed framework, before the pressure-drop happens, they are increased that the amplitude of the second harmonic wave, the period of the first harmonic wave, and the anomaly score we derived. We could conclude that the pressure-drop, as mentioned above indexes made by the proposed method, could predict the pressure-drop at the one minute ahead, even in the case that pressure time-series have the nature of non-stationarity and nonlinearity.

  • Environmental Efficiency Evaluation in High Solar Wind Penetration Region with Fractional Optimization-based Operational Planning

    Akira Yoshida, Kuniaki Yabe, Hideo Ishii, Yoshiharu Amano, Yasuhiro Hayashi

    Proc. ECOS2020     1686 - 1698  2020.06  [Refereed]

     View Summary

    © ECOS 2020.All right reserved. The article develops and demonstrates the fractional optimization to evaluate the environmental efficiency of the regional-scale energy system with heat pumping and thermal storage. The fractional optimization gets converted into the equivalent quadratic one via the proposed iterative algorithm. The proposed method makes converting a fractional equation into a different one with an auxiliary variable, and it makes us free from heuristic parameter tuning that makes balancing the weight of objective coefficient when the objective function is composed of some terms. We consider the operational planning problem of the mixed energy grid, including electricity and heat. It manages power generations and a heat pump with thermal storage as an application. The numerical studies take into account the open data measured by the most western region of Japan, where the region gets applied the installation/connection of variable renewable energy sources of 25.7 GW at the moment even not every capacity starts operation. As a result, the CO2conversion factor reaches 0.21 kg-CO2/kWh in the best case. It is confirmed that a heat pump with thermal storage can absorb the electrical output from variable renewable energy sources up to 2.72 TWh/y.

  • OPERATIONAL STRATEGIES FOR SELF-CONSUMPTION CONSIDERING THE USE OF AN ELECTRIC VEHICLE IN A NET ZERO ENERGY HOUSE

    Mizuho AKIMOTO, Jungmin KIM, Yugo TSUNEOKA, Reina OKI, Shin-ichi TANABE, Yasuhiro HAYASHI, Naomi MORITO

    Journal of Environmental Engineering (Transactions of AIJ)   85 ( 770 ) 277 - 287  2020

    DOI

  • PRE-COOLING OPERATION AIMING FOR DEMAND RESPONSE ADAPTATION IN HOUSE

    Jungmin KIM, Yugo TSUNEOKA, Reina OKI, Shin-ichi TANABE, Yasuhiro HAYASHI, Naomi MORITO

    Journal of Environmental Engineering (Transactions of AIJ)   85 ( 769 ) 215 - 224  2020

    DOI

  • Optimal Configuration of Residential Energy Systems with Electricity Sharing in Smart Residential Building toward 2030

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    Journal of Japan Society of Energy and Resources   41 ( 1 ) 11 - 20  2020.01  [Refereed]

  • Hot Water Demand Prediction Method for Operational Planning of Residential Fuel Cell System

    Yuta Tsuchiya, Yasuhiro Hayashi, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

    7th International Conference on Smart Grid, icSmartGrid 2019     46 - 51  2019.12

     View Summary

    © 2019 IEEE. This study proposes a hot water demand prediction method for operational planning of polymer electrolyte fuel cell cogeneration systems (PEFC-CGSs). PEFC-CGSs provide hot water by utilizing waste heat produced in the electricity generation process. An optimal operational plan according to household demand leads to further energy saving. Therefore, operational planning methods based on household demand prediction have received intense focus. In particular, the prediction of the amount of hot water demand is important for efficient operation. The authors have attempted to improve the hot water prediction method based on multivariate random forest (MRF), which uses the average of many decision trees' outputs as the prediction result. However, some experimental results show that a prediction strategy based on averaging the outputs of decision trees does not always lead to the best solution. In this study, the authors propose a novel prediction method utilizing the quantile of the estimation results derived in MRF. By setting the appropriate quantile, we can evade the demand underestimation, which has a higher negative impact on operational efficiency than overestimation. The usefulness of the proposed approach is evaluated via numerical simulations using real-world demand data.

    DOI

  • Analysis of operation plans of residential PEFC-CGS: a perspective of cost optimality under demand uncertainty

    Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    Journal of International Council on Electrical Engineering   9 ( 1 ) 105 - 112  2019.12  [Refereed]  [Invited]

    DOI

  • Renovating a house to aim for net-zero energy, thermal comfort, energy self-consumption and behavioural adaptation: A method proposed for ENEMANE HOUSE 2017

    Reina Oki, Yugo Tsuneoka, Shingo Yamaguchi, Soma Sugano, Naoya Watanabe, Takashi Akimoto, Yasuhiro Hayashi, Shinji Wakao, Shin ichi Tanabe

    Energy and Buildings   201   183 - 193  2019.10

     View Summary

    © 2019 In Japan, low thermal insulation performance in existing houses is a considerable issue that may lead to health problems. Therefore, it is necessary to acquire technologies and knowledge regarding thermal insulation renovation. On the other hand, with the spread of photovoltaic panels, urban scale energy management and self-consumption have become important. The purpose of this study is to introduce a net-zero energy house which was designed, built, and analyzed by the team of Waseda University and Shibaura Institute of Technology in the ENEMANE HOUSE 2017 competition. The team proposed a renovation method which insert highly insulated walls into the existing structure, creating not only highly insulated areas but also non-insulated areas called “loggias.” By opening and closing the windows of the loggia according to the season, it functions as a passive system and enables residents’ behavioural adaptation to the environment. On the other hand, to aim for self-consumption and leveling of reverse power flow, a heat pump water heater and a storage battery were operated according to solar radiation prediction. Actual measurements confirmed the implementation and effect of this operational method. Moreover, the energy consumption was greatly reduced, while thermal comfort was maintained by thermal insulation and efficient equipment introduction.

    DOI

  • Optimal configuration of residential energy systems with energy sharing among multiple households in smart building

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2019    2019.06  [Refereed]

  • An online HEMS scheduling method based on deep recurrent neural network

    Akira Yoshida, Yoshiharu Amano, Yu Fujimoto, Yasuhiro Hayashi

    Proc. ECOS2019    2019.06  [Refereed]

  • Effect of Demand Scale of Dwelling Unit on Optimal Configuration of Energy System for CO2 Reduction in 2030

    Shinya Katayama, Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    Journal of Japan Society of Energy and Resources   39 ( 6 ) 19 - 28  2019.02  [Refereed]

    DOI

  • Decentralized Charging Control of Battery Energy Storage Systems for Distribution System Asset Management

    Riku Okubo, Shinya Yoshizawa, Yasuhiro Hayashi, Shunsuke Kawano, Tomihiro Takano, Nobuhiko Itaya

    2019 IEEE MILAN POWERTECH    2019

     View Summary

    This paper proposes a decentralized charging control method of a battery energy storage system (BESS) that can prevent the over-capacity of a pole transformer in low-voltage (LV) distribution systems due to reverse power flow from the photovoltaic generation system. The distribution system operator provides the charging parameters defined as the relationship between the state-of-charge (SoC) and the charging threshold determined by using only the LV-distribution system configuration and the demand-side information to customers. Each BESS charges the power according to the provided parameters. A high charging amount can be maintained by automatically changing the charging mode based on the change in SoC. Results of the numerical simulation demonstrate that the proposed method can prevent the over-capacity of PTr and maintain the high charging amount of a BESS in LV-distribution systems. Further, the maximum power flow at the distribution substation and the distribution losses in MV-distribution system can be reduced.

  • Estimation of Expected Cost Curve on Operation Parameter Space for Planning Residential PEFC–CGS

    Yuta Tsuchiya, Yasuhiro Hayashi, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

    Proc. 2019 IEEE Milan PowerTech     1 - 5  2019  [Refereed]

     View Summary

    © 2019 IEEE. This study proposes an operation planning method for polymer electrolyte fuel cell cogeneration systems (PEFC-CGSs). PEFC-CGSs provide hot water by utilizing waste heat produced in the electricity generation process. An appropriate operation plan according to household demand will lead to further energy saving. The authors have discussed a framework for estimating expected operation costs of individual operation plans to select an appropriate candidate that minimizes the cost. In this scheme, the expected cost under each corresponding operation was independently estimated. This approach can be expected to provide accurate prediction of costs under individual operations. However, one open issue remains; it may not work well in estimating relative goodness compared to other operations. In this study, the authors propose a new cost estimation approach, focusing on relative appropriateness in candidate plans based on a multiple output prediction. The usefulness of the proposed approach is proved via a numerical simulation.

    DOI

  • Asynchronous ADMM HEMS aggregation scheme in smart grid

    Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

    Proc. ECOS2018    2018.06  [Refereed]

  • Distributed Energy Management for Comprehensive Utilization of Residential Photovoltaic Outputs

    Yu Fujimoto, Hiroshi Kikusato, Shinya Yoshizawa, Shunsuke Kawano, Akira Yoshida, Shinji Wakao, Noboru Murata, Yoshiharu Amano, Shin-ichi Tanabe, Yasuhiro Hayashi

    IEEE TRANSACTIONS ON SMART GRID   9 ( 2 ) 1216 - 1227  2018.03

     View Summary

    The introduction of photovoltaic power systems is being significantly promoted. This paper proposes the implementation of a distributed energy management framework linking demand-side management systems and supply-side management system under the given time-of-use pricing program for efficient utilization of photovoltaic power outputs; each system implements a consistent management flow composed of forecasting, operation planning, and control steps. In our framework, demand-side systems distributed in the electric distribution network manage individual energy consumption to reduce the residential operating cost by utilizing the residential photovoltaic power system and controllable energy appliances so as not to inconvenience residents. On the other hand, the supply-side system utilizes photovoltaic power maximally while maintaining the quality of electric power. The effectiveness of the proposed framework is evaluated on the basis of an actual Japanese distribution network simulation model from both the supply-side and demand-side viewpoints.

    DOI

  • Hierarchical BESS management for Electric Power Self-supply Ratio Improvement and Power Flow Reduction in Residential Town

    Tetsuro Tani, Shinya Yoshizawa, Tern Miyazaki, Wataru Hirohashi, Yasuhiro Hayashi, Masakazu Shio, Takashi Umeoka

    2018 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT)    2018

     View Summary

    This paper proposes a hierarchical battery energy storage system (BESS) management in a residential town. The proposed management improves an electric power self-supply ratio (EPSR) with charge/discharge operation of BESSs and a time shift operation of heat-pump water heaters installed in the households, and reduces power flow amount by hierarchically BESSs operation. The proposed management is verified in the residential town, and the results of numerical simulations clearly represent that the proposed management could improve EPSR through a year and drastically reduce the total power flow amount in the residential town compared with conventional self-operation.

  • Stochastic receding horizon control minimizing mean-variance with demand forecasting for home EMSs

    Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

    Energy and Buildings   158   1632 - 1639  2018.01

     View Summary

    As demand-side energy management system (EMS) has not only a function to maximize owner's utility by automatic control but also a potential capability to respond a demand activation, demand-side EMS is expected to fulfill the key role for intelligent control of community energy management. To achieve the stable control result of EMS against the uncertain environment, it needs approach from both forecast and operation sides. The objective of this study is to construct a control scheme for a home EMS from a practicable implementation perspective and to evaluate the control performance of the scheme proposed. The scheme is composed of operational planning with receding horizon and energy demand forecasting. The goal of the scheme is to maximize householder's utility only by retrofitting the home EMS to a residential household. Throughout numerical results, it is revealed that the better control performance comes from the conservative operational strategy derived from the multiple scenarios.

    DOI

  • Stochastic model predictive control of residential fuel cell cogeneration unit with periodic forecast update for distributed architecture

    Akira Yoshida, Jun Yoshikawa, Yoshiharu Amano, Yasuhiro Hayashi

    Proc. ECOS2017    2017.07  [Refereed]

  • Optimal configuration of energy system in multiple households with power interchange for CO2 abatement in Japan

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2017    2017.07  [Refereed]

  • Impact on energy saving under energy interchanges among building concerning demand profiles

    Harunobu Ikegami, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2017    2017.07  [Refereed]

  • Effectiveness of Updating the Parameters of the Volt-VAR Control Depending on the PV Penetration Rate and Weather Conditions

    Yuta Takasawa, Satoru Akagi, Shinya Yoshizawa, Hideo Ishii, Yasuhiro Hayashi

    2017 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT-ASIA)     77 - 81  2017

     View Summary

    In this study, updating parameters of smart inverters (SI) based on the change of PV penetration rate and weather conditions was evaluated. Among a wide variety of functionalities of SI, we focused on Volt-VAR control and comprehensively investigated the voltage profile in distribution network (DN) for various parameters. For the scenario in which PV penetration rate or weather condition was changed, we compared the total energy loss for the updated and fixed parameters, while avoiding voltage violation. We found that the maximum reduction rate of energy loss by appropriately changing the Volt-VAR parameters was 14.4% and 13.7%, respectively for the two cases, and that the parameters should be preferably updated according to the condition of DN from the view point of reducing energy loss. Quantitative results of Volt-VAR parameters survey were summarized, which can be a guide for how to use the functionality when PV is heavily installed in DN.

  • Optimal configuration of energy system in multiple households with power interchange for reduction of CO2 emissions in Japan

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2017    2017

     View Summary

    © 2017 IMEKO As a replacement for conventional sources, which cause CO2 emissions, the installation of photovoltaics (PV) has increased extensively in residential sectors. However, large-scale PV installation causes voltage violations of low-voltage distribution grids, particularly in the residential sector. According to previous studies, energy storage systems and power interchange methods are effective in utilizing PV surplus electricity and saving energy. The objective of this study is to derive the optimal configuration of energy systems in multiple households under power interchange for the minimization of total CO2 emissions. Two methods for solving this complicated and large-scale problem are proposed. First, we considered a calculation of the optimal configuration of energy systems in multiple households as an optimal unit sizing of energy systems in a single household. Second, we examined the operational planning problem as mixed integer linear programming (MILP) with an enumeration method. We found that a heat pump water heater (HP) can be installed as the heat supply equipment regardless of the PV installation ratio by the year 2030 in Japan, when the CO2 conversion factor of the electrical grid will be 0.37 kg/kWh. In addition, the maximum impact of power interchange on CO2 emissions will lead to its reduction by 85 kg, at 75 % of PV installation ratio.

  • Impact of utilizing PV surplus electricity on CO2 emissions from the residential energy systems

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    ASME 2017 11th International Conference on Energy Sustainability, ES 2017, collocated with the ASME 2017 Power Conference Joint with ICOPE 2017, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum    2017  [Refereed]

     View Summary

    In order to reduce CO2 emissions in the residential sector, the installation of photovoltaics (PV) has been increasing extensively. However, such large-scale PV installations cause problems in the low-voltage distribution grid of the residential sector, such as PV related voltage surges. In this study, the utilization of suppressed PV output through energy storage devices was proposed. Using demand side energy storage devices reduces voltage surge, transmission loss, and CO2 emissions from the residential buildings. The objective of this study was to add voltage constraints of the low-voltage distribution grid to an operational planning problem that we developed for the residential energy systems, and to quantitatively evaluate the potential of heat pump water heater (HP) to utilize the PV surplus electricity, while considering the electrical grid constraints based on the minimization of CO2 emissions. We found that when a 4.5 kW HP with 370 L storage, which utilizes PV output, was added to the system, the reduction in CO2 emissions was more than twice compared with that in the case of adding 4 kWh battery (BT) to a PV and gas fired water heater configuration. Further, the effect of utilizing the suppressed PV electricity by HP was almost equivalent to that by the BT. Therefore, the potential of HP in utilizing PV surplus electricity is higher than that of the BT in terms of CO2 emissions reduction in the residential sector.

    DOI

  • Impact of electric battery degradation on cost- and energy-saving characteristics of a residential photovoltaic system

    Akira Yoshida, Tomikazu Sato, Yoshiharu Amano, Koichi Ito

    ENERGY AND BUILDINGS   124   265 - 272  2016.07  [Refereed]

     View Summary

    In Japan, a feed-in tariff scheme has been implemented to promote the use of photovoltaic power generators in combination with electric batteries. Although many researchers have assessed the operation of grid-connected photovoltaic systems with electric batteries, little attention has been paid to the impact of the electric batteries' degradation characteristics. This paper evaluates the operation of a grid-connected photovoltaic/electric-battery system in a house in terms of cost savings and energy savings. We constructed a long-term operational optimization model considering the degradation characteristics of the electric battery. This model contains two objective functions: energy savings and operating costs. We create a scenario of power rates and photovoltaic/battery system configurations. To reveal the optimal operational strategy for the photovoltaic/battery system, the multi-objective optimization problem was solved. As a result, Pareto-optimal solutions were obtained, and trade-off relationships between cost and energy savings are presented. In this study, the utilization of a grid-connected photovoltaic system with an electric battery was expected to be most effective in energy-saving priority operation. (C) 2015 Elsevier B.V. All rights reserved.

    DOI

  • Optimal scheduling for residential PEM fuel cell cogeneration system under uncertainty of PV output and energy demand using MISOCP approach

    Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Shinji Wakao, Yoshiharu Amano

    Proc. ECOS2016    2016.06  [Refereed]

  • スマートハウスにおける窓システムとエアコンの協調制御の評価

    江部 真里奈, 竹中 大史, 海野 玄陽, 田辺 新一, 庄司 智昭, 吉田 彬, 林 泰弘

    空気調和・衛生工学会大会 学術講演論文集   2014   185 - 188  2016

     View Summary

    <p>PMVを用いて熱的快適性を考慮した上で、窓・日射遮蔽ブラインド・断熱ブラインドなどの窓システムとエアコンを協調制御した場合とエアコンのみを単体制御した場合のシミュレーション解析を行い、エアコン単体制御に対する協調制御の電力消費量削減分を求めた。各制御システムに対して、それぞれ異なる気象条件下で解析、PMVの快適範囲を変化させた解析を行った。結果として、熱的快適性と省エネルギー性を両立した窓システムとエアコンの協調制御の有効性を示した。</p>

    DOI CiNii

  • Centralized Voltage Control Method using Voltage Forecasting by JIT Modeling in Distribution Networks

    Shunsuke Kawano, Shinya Yoshizawa, Yasuhiro Hayashi

    2016 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D)    2016

     View Summary

    This paper presents an enhanced centralized voltage control method of on-load tap changer (OLTC) and step voltage regulators (SVRs) in distribution systems with photovoltaic (PV) and evaluates its effectiveness. A conventional centralized voltage control is effective when its data acquisition period is short because tap operations of OLTC and SVRs are performed after the voltage values in the distribution lines are acquired. However, in distribution systems with high penetration rate of PVs, voltage deviation occurs between the data acquisition intervals because the tap positions can be changed only at the timing when the data are acquired. The proposed centralized voltage control method forecasts voltage fluctuation between the data acquisition intervals and changes to the tap position which maximizes the minimum voltage margin from the voltage limits. The numerical simulation results will be shown to compare the voltage control effectiveness of the proposed method with that of the conventional method.

  • Method for Enumerating Feasible LDC parameters for OLTC and SVR in Distribution Networks

    Shunsuke Kawano, Shinya Yoshizawa, Yasuhiro Hayashi

    2016 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG)     207 - 211  2016

     View Summary

    This paper presents a method for enumerating the feasible load drop compensator (LDC) parameters of on-load tap changer (OLTC) and step voltage regulators (SVRs) in distribution networks utilizing data acquired by SCADA. Deriving the feasible combinations of LDC parameters is becoming important because voltage control is becoming difficult due to the introduction of photovoltaic generation systems, and the voltage control effectiveness of OLTC and SVRs depends on their three LDC parameters: the target voltage, the dead-band, and the impedance. However, an exhaustive search takes a lot of time and heuristics or metaheuristics provide no guarantee on the quality of the solution. The proposed method derives all the feasible LDC parameters, with which tap operation keeping voltage within the proper range is performed, within practical time. To evaluate the performance of the proposed method, the numerical simulation results of the proposed method will be compared with those of the metaheuristics.

  • An optimal predictive control of 0.75 kW PEM fuel cell cogeneration with home appliances for efficient PV utilization

    Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano

    ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology, FUELCELL 2016, collocated with the ASME 2016 Power Conference and the ASME 2016 10th International Conference on Energy Sustainability    2016  [Refereed]

     View Summary

    This paper proposes an optimal predictive control of 0.75 kW PEM fuel-cell cogeneration with home appliances. This paper also models fuel cell system for design and operation evaluation of building equipment based on actual measurement of residential fuel cell system on sale. As one application of constructed model and proposed control method, this paper discusses concerning home EMS for efficient PV utilization.

    DOI

  • The Basic Study for Development of a Method for Determining the LDC Parameters of LRT and SVR Using PV Output Forecasting

    Shunsuke Kawano, Shinya Yoshizawa, Yu Fujimoto, Yasuhiro Hayashi

    2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT)    2015

     View Summary

    This paper proposes a new method for determining the LDC (Load Drop Compensator) parameters of LRT (Load Ratio Transformer) and SVR (Step Voltage Regulator). Since the voltage control effect of LRT and SVR depends on the LDC parameter, the proper parameters should be chosen in order to control voltage within proper range. When the photovoltaic generation system is installed in the distribution system, voltage control becomes difficult and the optimal parameters in the daytime differ from those in the nighttime. In the proposed method, the parameters are reset every hour. The parameters are determined by choosing from the database including all the optimal parameters for each time period in the past. The database also includes the PV output profiles and load profiles in the past, and the proposed method searches the similar time periods in the database to the next one hour period by comparing forecasted PV output profiles with that in the database. And the common parameters among the similar time periods are chosen for the next one hour. The simulation results will be shown to evaluate the performance of proposed method.

  • Advantage of a home energy management system for PV utilization connected to grid

    Akira Yoshida, Shinya Yoshizawa, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin Ichi Tanabe, Yasuhiro Hayashi, Yoshiharu Amano

    ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems    2015

     View Summary

    Residential houses are in the process of introducing power generators such as photovoltaic (PV) power generators and fuel cell cogeneration systems. Under current laws in Japan, surplus electricity from a residential PV system can be sold by feeding it back into the electrical grid. However, when a lot of neighboring power generators make and feed back electricity at the same time, there is an issue of an upper voltage violation of the provisions of the laws and regulations relating to the Electricity Business Act in the distribution system of the electrical grid. The issue has been solved by stopping power generators when they reach an upper voltage limit, 107V. Another solution is to acknowledge demand response signal from electrical grid operator to store electricity in residential batteries using Home Energy Management System (HEMS). The research question is that how to collaborate HEMS and Grid Energy Management System (GEMS). This paper developed an evaluation framework for the cooperative behavior between HEMS and GEMS. Using this evaluation framework, this paper demonstrated the optimal operational strategy of HEMS including PV in the case that HEMS is informed voltage profile from GEMS, and also assessed amount of PV suppression quantitatively in residential sector in practical aspect.

  • Advantage of a home energy management systems for PV utilization connected to grid

    Akira Yoshida, Shinya Yoshizawa, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin Ichi Tanabe, Yasuhiro Hayashi, Yoshiharu Amano

    ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems    2015

     View Summary

    Residential houses are in the process of introducing power generators such as photovoltaic (PV) power generators and fuel cell cogeneration systems. Under current laws in Japan, surplus electricity from a residential PV system can be sold by feeding it back into the electrical grid. However, when a lot of neighboring power generators make and feed back electricity at the same time, there is an issue of an upper voltage violation of the provisions of the laws and regulations relating to the Electricity Business Act in the distribution system of the electrical grid. The issue has been solved by stopping power generators when they reach an upper voltage limit, 107V. Another solution is to acknowledge demand response signal from electrical grid operator to store electricity in residential batteries using Home Energy Management System (HEMS). The research question is that how to collaborate HEMS and Grid Energy Management System (GEMS). This paper developed an evaluation framework for the cooperative behavior between HEMS and GEMS. Using this evaluation framework, this paper demonstrated the optimal operational strategy of HEMS including PV in the case that HEMS is informed voltage profile from GEMS, and also assessed amount of PV suppression quantitatively in residential sector in practical aspect.

  • Economic evaluations of residential energy systems based on the prediction-operational planning-control method using time-of-use prices

    Ryohei Ogata, Akira Yoshida, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin Ichi Tanabe, Yoshiharu Amano

    ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems    2015

     View Summary

    Demand-side electricity saving is an important factor in the reduction of the installed capacity of power-supply facilities. In order to save electricity automatically while maintaining comfort levels, home energy management systems (HEMS) have attracted attention. These systems can control residential energy equipment cooperatively to reduce electricity consumption while considering benefits to consumers. Although many researchers have evaluated HEMS, no one has conducted a study which considers the control of various types of residential energy equipment in real time along with the uncertainties of energy demands. This paper proposes a single HEMS method which connects prediction, operational planning and control steps and enables the evaluation of operational planning methods of HEMS connected with many kinds of residential energy equipment currently in use in Japan while considering the uncertainties. The purpose of this study is to evaluate the economic potential of residential energy systems based on the proposed method with the uncertainties of energy demands and photovoltaic (PV) output under time-of-use prices. The results allowed us to establish a framework to quantitatively evaluate the operational planning methods of HEMS with the uncertainties of energy demands and PV output. In addition, the usability of the proposed method was confirmed by comparing the operational costs to those of a reference method.

  • Effects of a MIP start for solving weekly operational planning problem of a residential energy system

    Akira Yoshida, Jun Yoshikawa, Noboru Murata, Yoshiharu Amano

    ICOPE 2015 - International Conference on Power Engineering    2015

     View Summary

    An optimal operational planning problem of residential energy system has been formulated by Mixed Integer Linear Programming (MILP). The decision variables of optimal operational planning problem are energy and mass flows, equipment's operating statuses, and energy level of storage. Many kinds of energy supply equipment are available for householders in Japan. Of course, in operational planning problem, the increase of integer variables which means equipment's on/off status, is linked to the increase of calculation time. It is important to assess the impact of introducing an energy system for a house based on the suitable planning horizon of this problem. Energy storage brings the energy in the form of hot water and electricity to the next d a y. The operational strategy of energy system including storage should be evaluated through few days toward various energy demand. The optimal planning problems become large scale because many pieces of equipment to introduce and long evaluation period are required. This paper analyzes characteristics of energy systems caused by planning horizon. Additionally, we propose a hierarchical method as heuristic method for solving large MILP problem easily, and the proposed method is tested the effectiveness. Our finding shows that the proposed search method for better feasible solution has good performance in comparison with default settings of conventional MILP solver in terms of calculation time.

  • A multi-stage renewal planning of an energy supply system for a hospital based on the mathematical optimization method

    Shu Yoshida, Koich Ito, Akira Yoshida, Yoshiharu Amano

    ECOS 2015 - 28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems    2015

     View Summary

    The multi-stage renewal planning problem is studied here for an energy supply system installed into a hospital from the long- Term economic viewpoint by applying the mathematical optimization method. This problem is mathematically formulated as a large-scale mixed-integer linear programming one, and the average annual total cost during the evaluation period is set as the objective function to be minimized. In this problem, by taking the deterioration of performance efficiency of the existing pieces of equipment, the renewal system is assumed to be composed by installing new pieces of equipment with improved efficiency by reflecting technical progress. By optimizing the system's operational policy for hourly and seasonally changing energy demands through years of the evaluation period, the renewal years and the system's configurations at each multi-stages are determined optimally. A numerical study is carried out for a really existing hospital with total floor area of 25000m2, and many comprehensive and useful results are obtained by comparing 13 alternative renewal plans by using the CPLEX solver.

  • Energy-Saving Evaluation of SOFC Cogeneration Systems With Solar Cell and Battery

    Akira Yoshida, Koichi Ito, Yoshiharu Amano

    JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY   11 ( 6 )  2014.12  [Refereed]

     View Summary

    The purpose of this study is to evaluate the maximum energy-saving potential of residential energy supply systems consisting of a solid oxide fuel cell (SOFC) cogeneration system (CGS) combined with a solar cell (SC) and a battery (BT), compared with a reference system (RS). This study applies an optimization theory into an operational planning problem to measure actual energy demands over the course of 1 year. Eight different types of energy supply system were compared with each other by changing the components of the SOFC-CGS, SC, BT, and RS. Meaningful numerical results are obtained, indicating the maximum potential energy savings.

    DOI

  • Evaluation of optimal capacity of hot water tank in PEM cogeneration system for residential energy demand profiles

    Akira Yoshida, Yoshiharu Amano

    27th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2014   2014-June  2014

     View Summary

    Various residential cogeneration systems have been studied and developed as parts of distributed energy supply system. A residential fuel cell cogeneration system is composed of three units: a fuel cell unit, a thermal storage unit and a back-up boiler. Those three-parts are necessary to compensate a gap between system output with a rigid heat-to-power ratio and heat and power demand. It is difficult to operate the fuel cell system with frequent starts and stops. The peak thermal load is far greater than the maximum thermal output capacity of the fuel cell unit alone. Generally, a cogeneration system performs effectively when all of the recovered heat was utilized in a day. The common issues in promoting residential fuel cell cogeneration systems are the unit price and size. The size must be reduced for use in apartment houses, which constitute about half of the households in Japan. The objectives of this study are to evaluate the rational hot water tank capacity for individual households in order to provide a guide for hot water tank capacity sizing. Sensitivity analysis on the hot water tank capacity from energy saving and economic viewpoints based on an optimal operational planning problem was carried out. Additionally, residential energy demand profiles with different climate conditions are analysed. Our findings show that, in Japan, commutative duration of hot water demand is about 10% or less of the time in one year, and domestic hot water demand rarely observed above 4 kWh in any quarter of an hour. Annual primary energy consumption and operating costs rarely fell when the hot water tank capacity was 7 kWh or more. Additionally, reducing the hot water tank capacity to 5 kWh had only a small effect on the objective values. This suggests that the hot water tank could be smaller than that currently in use. The daily hot water demand gives an excellent estimation of the maximum stored heat of the hot water tank. It was found that the hot water tank capacity can be estimated from the regression lines, or from the fraction of daily hot water demand.

  • Energy saving evaluation of PEFC systems with solar cell and battery

    Akira Yoshida, Koichi Ito, Yoshiharu Amano

    Transactions of the Japan Society of Mechanical Engineers Series A   80 ( 816 ) TEP0229 - TEP0229  2014

     View Summary

    The main objective of this study is to evaluate energy saving potentials of polymer electrolyte fuel cell cogeneration systems integrated with solar cell and battery installed into residential houses. There exist many alternative operational policies in the above systems, and the mathematical planning approach is taken to derive the rational systems operational solution based on the mixed-integer linear planning method. In the numerical analysis of this study, energy saving characteristics of 12 alternative systems are compared respectively, and as one of main obtained results, it become clear that the energy saving effects to install battery into the systems depend largely on the operational policy of the system together with the evaluation criterion of adverse electricity from the solar cell to the electric grid. In other words, in the case of giving high priority to the self-consumption of electricity from the solar cell within the house, the energy saving potential to install battery increases largely, but few effects are noticed in other cases.

    CiNii

  • Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming

    Akira Yoshida, Yoshiharu Amano, Koichi Ito

    Proceedings of the 26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2013    2013

     View Summary

    The operational degree of freedom in a residential energy system has dramatically increased recently because an energy system tends to be composed of many devices including some energy buffers. It is challenging to construct the framework of the operational planning problems, which update the plan based on the short-span predictions. This framework has to plan the operation before uncertain demand and PV output are realized; hence the plan is based on ex-ante decisions. The aim of this paper is to apply a stochastic programming framework to the operational planning of a residential energy system considering the prediction, and is to show basic directions for the planning. The residential energy system includes a fuel cell cogeneration system with a hot water tank, the photovoltaic system with an electrical battery. The parameters of the numerical experiments are three kinds of temporal precision and the number of predicted scenarios. The operation means the timing of the fuel cell's start-stop, and the stored energy levels of the battery and the hot water tank. As a result, the expected value based on scenarios was 21% greater than the minimized value based on perfect information in terms of daily primary energy consumption. The number of predicted scenarios was reasonable around 10 at 15-min temporal precision, because the great number of input scenarios made a decision not to operate the fuel cell cogeneration system for the entire day, and needed a great deal of the computational time.

  • Influence of initial systems on the renewal planning of energy supply systems for a hospital

    Shu Yoshida, Akira Yoshida, Koichi Ito, Yoshiharu Amano

    Nihon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B   79 ( 806 ) 2312 - 2323  2013

     View Summary

    In this study, a renewal planning problem of energy supply system is formulated as a large scale mixed-integer linear programming problem, in which the objective function to the minimized is the average value of annual total cost during system's evaluation period. By adopting the programming language AMPL and CPLEX solver, a numerical study is carried out for a hospital, where electrical(e.g., heat pump) and gas(e.g., gas engine cogeneration) systems are compared together with arbitrary combination one, which is composed of electrical and gas driven pieces of equipment, by focusing particularly on the influence of initial system's difference. The main results obtained are as follows: (a) If the initial system is gas one, it is better to renew it to the electrical one as soon as possible due to relatively low energy efficiency of gas utilizing pieces of equipment, the high price of gas input energy and so on. (b) If the initial system is electrical one, the optimal renewal year becomes relatively later year, because it is economically better to use the initially installed high efficiency system as long as possible. (c) Theoretically, the arbitrary combination system is of course the best renewal one. However, there is no economic difference between the arbitrary combination system and the electrical one. © 2013 The Japan Society of Mechanical Engineers.

    DOI CiNii

  • A comparison of optimal operation of a residential fuel cell co-generation system using clustered demand patterns based on Kullback-Leibler divergence

    Akira Yoshida, Yoshiharu Amano, Noboru Murata, Koichi Ito, Takumi Hasizume

    Energies   6 ( 1 ) 374 - 399  2013

     View Summary

    When evaluating residential energy systems like co-generation systems, hot water and electricity demand profiles are critical. In this paper, the authors aim to extract basic time-series demand patterns from two kinds of measured demand (electricity and domestic hot water), and also aim to reveal effective demand patterns for primary energy saving. Time-series demand data are categorized with a hierarchical clustering method using a statistical pseudo-distance, which is represented by the generalized Kullback-Leibler divergence of two Gaussian mixture distributions. The classified demand patterns are built using hierarchical clustering and then a comparison is made between the optimal operation of a polymer electrolyte membrane fuel cell co-generation system and the operation of a reference system (a conventional combination of a condensing gas boiler and electricity purchased from the grid) using the appropriately built demand profiles. Our results show that basic demand patterns are extracted by the proposed method, and the heat-to-power ratio of demand, the amount of daily demand, and demand patterns affect the primary energy saving of the co-generation system. © 2013 by the authors
    licensee MDPI, Basel, Switzerland.

    DOI

  • A comparison of optimal operation of residential energy systems using clustered demand patterns based on kullback-leibler divergence

    Akira Yoshida, Yoshiharu Amano, Noboru Murata, Koichi Ito, Takumi Hashizume

    Proceedings of the 25th International Conference on Efficiency, Cost, Optimization and Simulation of Energy Conversion Systems and Processes, ECOS 2012   3   1 - 16  2012

     View Summary

    Residential energy demand varies widely in terms of time-series behaviors, amounts consumed between families, and even within one family. Residential energy demand profiles have a high degree of uncertainty in their essentials because the demand profile is entirely based on the occupant-driven load. When evaluating residential energy systems like co-generation systems, hot water and electricity demand profiles are critical. In this paper, in order to clarify rational energy system selection guidelines and rational operation strategies, authors aim to extract basic demand time-series patterns from two kinds of measured demand (electricity and domestic hot water), measured over 26307 days of data in Japan. Authors also aim to reveal the relationship between primary energy consumption and demand patterns. Demand time-series data are categorized by means of a kind of "unsupervised" learning, which is a hierarchical clustering method using a statistical pseudo-distance. The statistical pseudo-distance is calculated from the generalized Kullback-Leibler divergence with the Gaussian mixture distribution fitted to the demand time-series data. The classified demand patterns are built using a hierarchical clustering and then a comparison is performed between the optimal operation of the two systems (a polymer electrolyte membrane fuel cell co-generation system, and a CO2 heat pump system) and the operation of a reference system (a conventional combination of a condensing gas boiler and electricity purchased from the grid) using the demand profiles appropriately built. Our results show that basic demand patterns are extracted by the proposed method. The demand patterns, the amount of daily demand and heat-to-power ratio of demand affect the primary energy reduction ratio of the polymer electrolyte membrane fuel cell co-generation system.

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Misc

  • S0840101 Study of Operational Policy in Residential Energy System Considering Comfort

    YOSHIDA Akira, FUJIMOTO Yu, MURATA Noboru, WAKAO Shinji, TANABE Shinichi, AMANO Yoshiharu

    Mechanical Engineering Congress, Japan   2014   "S0840101 - 1"-"S0840101-5"  2014.09

     View Summary

    The main objectives of this study are to consider both thermal comfort and energy consumption on operational planning problem of residential energy system, and to handle uncertainty of energy demand and PV output for the future as a scenario-based stochastic programming problem. The energy system consists of photovoltaic power generator, electrical-driven room air-conditioner and PEM type fuel-cell cogeneration system. We introduce mathematical optimization theory for operational planning problem, because the targeted system has many alternative operations. As a result, the optimal operational planning problem, which is extended by considering PMV and future scenarios as constraints, concludes that the residential energy system achieves 33% of energy saving ratio in the case of 1.0 of PMV.

    CiNii

  • C131 A study of optimal operational planning of residential PEFC system for energy demand scenarios using stochastic programming technique

    YOSHIDA Akira, OGATA Ryohei, MURATA Noboru, AMANO Yoshiharu

    National Symposium on Power and Energy Systems   2014 ( 19 ) 93 - 96  2014.06

     View Summary

    The subject of this study is to plan the operation of residential energy system with uncertain parameters based on ex-ante decision before uncertain parameters are realized. This paper applies a scenario-based stochastic programming framework to the operational planning problem having uncertain energy demand as parameters. Based on predicted energy demand scenarios, the operational strategies, which indicates the prime mover's start-stop status and the level of hot water tank, are decided. The decided operational strategies and realized values of energy demand are input to optimal control problem, which is formulated by dynamic programming. Finally we consider the operational performance of dynamic programming using the decided operational strategies based on predicted demand scenarios. As a result, the proposed stochastic programming framework decided the optimal strategies, and showed that effectiveness.

    CiNii

  • C132 Effect of demand prediction error on energy-saving performance of PEFC system for residential use

    OGATA Ryohei, YOSHIDA Akira, MURATA Noboru, AMANO Yoshiharu

    National Symposium on Power and Energy Systems   2014 ( 19 ) 97 - 100  2014.06

     View Summary

    Nowadays, PEFC-CGS is getting attention as a distributed energy system. It has high efficiency, and a lot of studies of PEFC-CGS were reported. But almost of them didn't consider energy prediction error. In this study, in order to evaluate energy-saving performance of PEFC-CGS for residential use with energy prediction error, I made PEFC-CGS control low input optimal operational plan based on energy prediction value. Consequently, operational plan to start PEFC-CGS in the morning or avoiding unneeded power runup and low load operation of PEFC-CGS can make control low of PEFC-CGS improved.

    CiNii

  • A223 Study on Residential PV-BT System Considering Degradation Characteristic of Electrical Battery

    SATO Tomikazu, YOSHIDA Akira, AMANO Yoshiharu, ITO Koichi

    National Symposium on Power and Energy Systems   2013 ( 18 ) 235 - 238  2013.06

     View Summary

    Promoting utilization of photovoltaic (PV) cell, for residential use has become urgent issue recently. One approach is to use an electrical battery (BT) in the house in order to maximize consuming the electricity generated by the photovoltaic power generator. The energy systems including energy buffer like electrical batteries have a lot of operational flexibility. The mathematical optimization technique is useful for rational energy use The objective of this study is to making operational optimization models considering degradation characteristic of a battery. As a result, the four types of operational optimization models, which consider degradation characteristics caused by battery cycle life, were formulated on the mixed integer linear programming problems. Consequently, it was found that the appropriate optimal operational strategy should be derived from the model including the degradation characteristics on DOD.

    CiNii

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Awards

  • Best Paper Award Second Prize of ECOS 2015

    2016.06  

  • JSME Miura Prize

    2012.03   JSME  

Research Projects

  • Optimisation of District Energy Distribution and Storage System by CO2 Network

    Project Year :

    2019.04
    -
    2022.03
     

  • Distributed Optimization Method for HEMS aggregation

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2018.04
    -
    2021.03
     

Presentations

  • Technology development related to management improvement of operation in geothermal power generation systems -Anomaly detection of production well pressure with multilayer perceptron-

    Akira Yoshida, Atsuhiro Imagawa, Yoshiharu Amano, Norihiro Fukuda

    2020 Annual Meeting Geothermal Research Society of Japan  Geothermal Research Society of Japan

    Presentation date: 2020.11

  • 100% Renewable Energy System in Residential Houses with Photovoltaic and Electric Vehicle

    Hiroto Nakazawa, Shinya Katayama, Akira Yoshida, Yoshiki Nagasaki, Shin Onodera, Kazuyuki Kobayashi, Yoshiharu Amano

    (Tokyo)  JSME

    Presentation date: 2020.03

  • Operational Planning for Home Energy Management System using Machine Learning

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  JSME

    Presentation date: 2020.03

  • Analysis of co-save electricity effect considering the combination of thermal insulation, heat storage performance and residential equipment of multiple houses

    Toranosuke Saito, Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  JSME

    Presentation date: 2020.03

  • Effective condition of centralized HVAC system for building using CO2 as heat transport medium

    Jyungo Kajita, Takahiro Nagano, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  JSME

    Presentation date: 2020.03

  • Data driven modeling for a geothermal power plant

    Atsuhiro Imagawa, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  JSME

    Presentation date: 2020.03

  • Study of Surplus Power Absorption Effect by Heat Storage System in Area with High PV Penetration

    Akira Yoshida, Kuniaki Yabe, Yoshiharu Amano, Yasuhiro Hayashi

    (Tokyo)  JSER

    Presentation date: 2020.01

  • Potential Evaluation of District Heating and Cooling System for Demand Response

    Akira Yoshida, Hideo Ishii, Yoshiharu Amano, Yasuhiro Hayashi

    (Tokyo)  JSER

    Presentation date: 2020.01

  • 100% Renewable Energy System in Detached House with Photovoltaic and Electric Vehicle

    Hiroto Nakazawa, Shihya Katayama, Akira Yoshida, Hiroko Sotouchi, Shin Onodera, Kazuyuki Kobayashi, Yoshiharu Amano

    JSER

    Presentation date: 2020.01

  • Operation Planning Method for Residential Fuel Cell Based on the Prediction of Integrating Hot Water Demand

    Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    (Hiroshima)  IEEJ

    Presentation date: 2019.09

  • Scenario analysis on 2030s' energy consumption trends for an actual city by using energy-system evaluation platform compared of thermal network model and mixed integer optimization model

    Toranosuk Saito, Akira Yoshida, Yoshiharu Amano

    (Akita)  JSME

    Presentation date: 2019.09

  • Optimal configuration of residential energy systems with energy sharing in smart building toward 2030

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • New Utilization Method and Its Evaluation for Air Conditioning System with Thermal Energy Storage

    Hideo Ishii, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • A Study of Surplus Electricity Absorption by Combined Reversible Fuel Cell and PV

    Akira Yoshida, Yoshiharu Amano

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • Optimal configuration of residential energy systems with energy sharing in smart building toward 2030

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • New Utilization Method and Its Evaluation for Air Conditioning System with Thermal Energy Storage

    Hideo Ishii, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • A Study of Surplus Electricity Absorption by Combined Reversible Fuel Cell and PV

    Akira Yoshida, Yoshiharu Amano

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.08

  • Optimal configuration of residential energy systems with energy sharing among multiple households in smart building

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Wroclaw) 

    Presentation date: 2019.06

  • An online HEMS scheduling method based on deep recurrent neural network

    Akira Yoshida, Yoshiharu Amano, Yu Fujimoto, Yasuhiro Hayashi

    32nd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Wroclaw) 

    Presentation date: 2019.06

  • Basic Study of Hot Water Demand Prediction Approach for Operation Planning of Residential Fuel Cell

    Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    (Sapporo)  IEEJ

    Presentation date: 2019.03

  • Environmental Analysis of Residential Energy Systems by Energy Chain Methodology

    Akira Yoshida, Yoshiharu Amano

    (Tokyo)  Japan Society of Energy and Resources

    Presentation date: 2019.01

  • Asynchronous ADMM HEMS aggregation scheme in smart grid

    Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

    31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Guimaraes) 

    Presentation date: 2018.06

  • Analysis of operation plans of residential PEFC-CGS: a perspective of cost optimality under demand uncertainty

    Yuta Tsuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano, Yasuhiro Hayashi

    24th International Conference on Electrical Engineering  (Seoul) 

    Presentation date: 2018.06

  • HEMS aggregation method based on alternating direction method of multipliers

    Akira Yoshida, Yohei Yamaguchi, Ayao Matsuoka, Yoshiharu Amano, Yoshiyuki Shimoda, Yasuhiro Hayashi

    (Osaka)  Japan Society of Energy and Resources

    Presentation date: 2018.06

  • Effect of demand scale of dwelling unit on optimal configuration of energy system for CO2 reduction in 2030

    Shinya Katayama, Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    (Osaka)  Japan Society of Energy and Resources

    Presentation date: 2018.06

  • Operation planning method for residential fuel cell based on the predicted amount of daily hot water demand

    Yuta Tuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

    (Tokushima)  Institute of Electrical Engineers of Japan

    Presentation date: 2018

  • Optimal configuration of energy system in residential area with power interchange for CO2 reduction

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    (Osaka)  Japan Society of Energy and Resources

    Presentation date: 2018.01

  • Hierarchical information aggregation for CEMS

    Akira Yoshida

    Symposium on Energy Management System  (Shinjuku)  ACROSS

    Presentation date: 2017.09

  • Stochastic receding horizon control of residential fuel cell cogeneration unit with periodic forecast update

    Akira Yoshida, Jose Rivera, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi, Hans-Arno Jacobsen

    Summer School on Communication Technology and Data Analytics for Future Energy Systems  (Passau) 

    Presentation date: 2017.09

  • Stochastic model predictive control of residential fuel cell cogeneration unit with periodic forecast update for distributed architecture

    Akira Yoshida, Jun Yoshikawa, Yoshiharu Amano, Yasuhiro Hayashi

    31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (San diego) 

    Presentation date: 2017.07

  • Optimal configuration of energy system in multiple households with power interchange for CO2 abatement in Japan

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (San diego) 

    Presentation date: 2017.07

  • Impact on energy saving under energy interchanges among building concerning demand profiles

    Harunobu Ikegami, Akira Yoshida, Yoshiharu Amano

    31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (San diego) 

    Presentation date: 2017.07

  • Impact of utilizing PV surplus electricity on CO2 emissions from the residential energy systems

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    17th International Conference on Power Engineering  (Charlotte)  American Society of Mechanical Engineers

    Presentation date: 2017.06

  • Photovoltaic power generation short-period forecasting method based on color feature and rate of cloud region in sky image

    Akira Yoshida, Yoshiharu Amano

    (Toyohashi)  Japan Society of Mechanical Engineering

    Presentation date: 2017.06

  • Basic study of robust operation planning method for minimizing operation cost of residential fuel cell

    Yuta Tuchiya, Yu Fujimoto, Akira Yoshida, Yoshiharu Amano

    (Toyama)  Institute of Electrical Engineers of Japan

    Presentation date: 2017

  • Home Energy Management System on Smart Grid under Uncertainty

    Akira Yoshida

    Waseda University & Singapore Polytechnic Joint Symposium 2016 on "Smart House"  (Shinjuku)  Waseda University

    Presentation date: 2016.12

  • Study of method for choosing suitable electricity price plan depending on operational planning of domestic energy appliance

    Ryoichi Kuroha, Akira Yoshida, Wataru Hirohashi, Yu Fujimoto, Yoshiharu Amano, Shin-icni Tanabe, Yasuhiro Hayashi

    (Hakata)  Institute of Electrical Engineers of Japan

    Presentation date: 2016.09

  • Impacts of partial load characteristics in industrial energy supply system on energy consumption characteristics using quadratic programming

    Harunobu Ikegami, Akira Yoshida, Yoshiharu Amano

    (Hakata)  Japan Society of Mechanical Engineering

    Presentation date: 2016.09

  • An optimal predictive control of 0.75 kW PEM fuel cell cogeneration with home appliances for efficient PV utilization

    Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Yoshiharu Amano

    14th International Conference on Fuel Cell Science  (Charlotte)  American Society of Mechanical Engineers

    Presentation date: 2016.06

  • Optimal scheduling for residential PEM fuel cell cogeneration system under uncertainty of PV output and energy demand using MISOCP approach

    Akira Yoshida, Jun Yoshikawa, Yu Fujimoto, Shinji Wakao, Yoshiharu Amano

    30th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Portorz) 

    Presentation date: 2016.06

  • Impact of utilizing PV surplus power on CO2 emission of residential energy system

    Toshiyuki Nagai, Akira Yoshida, Yoshiharu Amano

    (Osaka)  Japan Society of Energy and Resources

    Presentation date: 2016.06

  • A model for daily operational planning of a residential fuel-cell cogeneration system based on experiment

    Takumi Furuichi, Akira Yoshida, Yoshiharu Amano

    The First Pacific Rim Thermal Engineering Conference  (Hawai) 

    Presentation date: 2016

  • Impact of demand prediction accuracy on energy saving characteristics of residential PEFC-CGS

    Jun Yoshikawa, Akira Yoshida, Yoshiharu Amano

    The First Pacific Rim Thermal Engineering Conference  (Hawai) 

    Presentation date: 2016

  • Impact of demand prediction accuracy on operational result of home energy management system

    Jun Yoshikawa, Akira Yoshida, Shin-ichi Tanabe, Yoshiharu Amano

    (Chiyoda)  Japan Society of Energy and Resources

    Presentation date: 2016.01

  • Analysis for operation performance of a home enregy management system under PV suppression

    Ryohei Ogata, Akira Yoshida, Shin-ichi Tanabe, Yoshiharu Amano

    (Chiyoda)  Japan Society of Energy and Resources

    Presentation date: 2016.01

  • Effects of a MIP start for solving weekly operational planning problem of a residential energy system

    Akira Yoshida, Jun Yoshikawa, Noboru Murata, Yoshiharu Amano

    International Conference on Power Engineering  (Yokohama) 

    Presentation date: 2015.11

  • Effect of demand prediction accuracy on energy saving characteristic of PEFC-CGS for residential use

    Jun Yoshikawa, Akira Yoshida, Yoshiharu Amano

    (Sapporo)  Japan Society of Mechanical Engineering

    Presentation date: 2015.09

  • Characterization of fuel cell cogeneration system based on experiment

    Akira Yoshida, Takumi Furuichi, Yoshiharu Amano

    (Sapporo)  Japan Society of Mechanical Engineering

    Presentation date: 2015.09

  • Collaboration control of window system and air-conditioner in consideration of thermal comfort and energy saving : part3: a validity evaluation of indoor temperature change calculation model

    Ebe Marina, Takenaka Takeshi

    Presentation date: 2015.09

  • Evaluation of coordinated energy management system for grid and home in distribution system with PVs

    Shinya Yoshizawa, Akira Yoshida, Shunsuke Kawano, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

    International Conference on Electrical Engineering  (Hong Kong) 

    Presentation date: 2015.07

  • Advantage of a home energy management system for PV utilization connected to grid

    Akira Yoshida, Shinya Yoshizawa, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin-ichi Tanabe, Yoshihiro Hayashi, Yoshiharu Amano

    29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Pau) 

    Presentation date: 2015.06

  • Economic evaluations of residential energy systems based on the prediction-operational planning-control method using time-of-use prices

    Ryohei Ogata, Akira Yoshida, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin-ichi Tanabe, Yoshiharu Amano

    29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Pau) 

    Presentation date: 2015.06

  • A Multi-stage renewal planning of an energy supply system for a hospital based on the mathematical optimization method

    Shu Yoshida, Koichi Ito, Akira Yoshida, Yoshiharu Amano

    29th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Pau) 

    Presentation date: 2015.06

  • Economic evaluations of residntial energy systems based on prediction-operational planning-control method under time-of-use prices

    Ryohei Ogata, Akira Yoshida, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin-ichi Tanabe, Yoshiharu Amano

    (Chiyoda)  Japan Society of Energy and Resources

    Presentation date: 2015

  • Evaluation of coordinated EMS method between GEMS and HEMS composed of forecast-operation-control flow

    Shinya Yoshizawa, Syunsuke Kawano, Akira Yoshida, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin-ichi Tanabe, Yoshiharu Amano, Yasuhiro Hayashi

    Institute of Electrical Engineers of Japan

    Presentation date: 2014.09

  • Collaboration control of window and air-conditioning system in consideration of human : thermal comfort and energy saving part1:detail about the control system and outline of the target housing

    Takenaka Takeshi, Ebe Marina

    Presentation date: 2014.09

  • Collaboration control of window system and air conditioner in consideration of human thermal comfort and energy saving : part2: a comparison of electric power consumption between collaboration control and control of only air-conditioning system

    Ebe Marina, Takenaka Takeshi

    Presentation date: 2014.09

  • Evaluation of optimal capacity of hot water tank in PEM cogeneration system for residential energy demand profiles

    Akira Yoshida, Yoshiharu Amano

    28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Turku) 

    Presentation date: 2014.06

  • Impact of electric battery's degradation on economic and energy saving characteristics of residential photovoltaic system

    Akira Yoshida, Tomikazu Sato, Yoshiharu Amano, Koichi Ito

    28th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Turku) 

    Presentation date: 2014.06

  • Study of operational policy in residential energy system considering comfort

    Akira Yoshida, Yu Fujimoto, Noboru Murata, Shinji Wakao, Shin-ichi Tanabe, Yoshiharu Amano

    (Chiyoda)  Japan Society of Mechanical Engineering

    Presentation date: 2014

  • A study of optimal operational planning of residential PEFC system for energy demand scenarios using stochastic programming technique

    Akira Yoshida, Ryohei Ogata, Noboru Murata, Yoshiharu Amano

    19th National symposium of power and energy systems  (Fukui)  Japan Society of Mechanical Engineering

    Presentation date: 2014

  • Effect of demand prediction error on energy-saving performance of PEFC system for residentail use

    Ryohei Ogata, Akira Yoshida, Noboru Murata, Yoshiharu Amano

    19th National symposium of power and energy systems  (Fukui)  Japan Society of Mechanical Engineering

    Presentation date: 2014

  • Evaluation of collaboration control of windows system and air-conditioning in smart house

    Marina Ebe, Takeshi Takenaka, Genki Unno, Shin-ichi Tanabe, Tomoaki Shoji, Akira Yoshida, Yasuhiro Hayashi

    Society of Heating, Air-Conditioning and Sanitary Engineering of Japan

    Presentation date: 2014

  • 地域別エネルギー需要特性に対する家庭用PEFCシステムの運用方策の検討

    吉田 彬, 天野 嘉春

    第30回 エネルギーシステム・経済・環境コンファレンス  (千代田)  エネルギー資源学会

    Presentation date: 2014

  • Analysis of electric battery installation to residential photovoltaic

    Tomikazu Sato, Akira Yoshida, Yoshiharu Amano, Koichi Ito

    (Chiyoda)  Japan Society of Energy and Resources

    Presentation date: 2014

  • Optimal operation of a residential photovoltaic/fuel-cell energy system using scenario-based stochastic programming

    Akira Yoshida, Yoshiharu Amano, Koichi Ito

    27th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Guilin) 

    Presentation date: 2013.07

  • Study on residential PV-BT system considering degradation characteristic of electrical battery

    Tomikazu Sato, Akira Yoshida, Yoshiharu Amano, Koichi Ito

    18th National symposium of power and energy systems  (Chiba)  Japan Society of Mechanical Engineering

    Presentation date: 2013.06

  • Study of influence analysis method on energy demand system by typical demand pattern

    Akira Yoshida, Noboru Murata, Yoshiharu Amano

    (Ootsu)  Society of Instrument and Control Engineers

    Presentation date: 2013

  • A comparison of optimal operation of residential energy systems using clustered demand patterns based on Kullback-Leibler divergence

    Akira Yoshida, Yoshiharu Amano, Noboru Murata, Koichi Ito, Takumi Hashizume

    26th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems  (Perugia) 

    Presentation date: 2012.06

  • Comparative evaluation of residential energy systems to reduce CO2 emission

    Akira Yoshida, Kouhei Ingaki, Yoshiharu Amano, Koichi Ito, Takumi Hashizume

    World Engineers Convention 2011  (Geneva) 

    Presentation date: 2011.09

  • Analysis of energy systems supplying hot water and electricity for residential use

    Akira Yoshida, Yoshiharu Amano, Koichi Ito, Takumi Hashizume

    10th IEA Heat Pump Conference 

    Presentation date: 2011.05

  • Comparative evaluation of several energy systems to supply hot water for detached houses

    Akira Yoshida, Masaya Ogawa, Yoshiharu Amano, Koichi Ito, Takumi Hashizume

    15th National symposium of power and energy systems  Japan Society of Mechanical Engineering

    Presentation date: 2010.06

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Specific Research

  • システムアプローチによる家庭用エネルギー管理手法に関する基礎的研究

    2016  

     View Summary

    This study tackled following two issues:1) developing robust operational planningmethodology to compensate forecast error of energy demand,2) arranging an environment forproof-of-concept demonstration of residential energy management scheme thatthis study proposed.This study adopted the concept of recedinghorizon for the operational planning problem, in order to use energy demandforecast scenarios with high accuracy by shortening forecast lead time. Thenumerical case study shows that the receding horizon control with 15-minutesforecast/operational-strategy update interval achieves 9.5% reduction ofprimary energy consumption compared with the case with 24-hours updateinterval. The operational planning problem inprevious work minimizes expected value of disutility meaning primary energyconsumed in a household when energy supply meets plausible energy demandscenarios forecasted. Here, this study considers two problem settings in orderto derive more robust operational strategy: one is to employ expected value andits variance as an objective function; the other is to increase number ofscenario forecasted for operational planning problem. As a result, latter casewith 9 scenarios shows 3% reduction of primary energy consumption in comparisonwith the case with only one scenario.

  • 需要の不確かさを考慮した家庭用エネルギーシステムの運用計画・制御手法

    2015  

     View Summary

    On operational planning problem decidingcontrol/operational strategy of energy plant, the energy demand is handled asdeterministic parameter. However, the energy demand varies momentarily in realoperation. It is important to reveal the impact of forecast accuracy on controlresult when the operational planning problem is based on forecasted energydemand. This research in this year was done two tasks: one was energy systemmodelling with high resolution power meter for operational planning problem;the other task revealed the relationship between characteristics of energysystem and energy demand. On the first task, I replaced the power meter withhigh time resolution in order to model the energy system with enough accuracy.The first task concluded that the operational model in 1~60 minutes time scaleis able to adopt status transient model for building evaluation. On the secondtask, I analyzed the relationship between the characteristic of energy systemand the forecast accuracy by numerical experiment. The second task suggestedthat the more efficient operational strategy under uncertainty of energy demandis that the energy system intends to supply more thermal energy than forecasteddemand in order to avoid opportunity loss of energy production by cogenerationsystem.

  • 地域別エネルギー需要特性に対応した最適機器構成の評価基盤の構築

    2014  

     View Summary

    地域ごとの気候差および需要家ごとのエネルギー需要特性の差を考慮した機器導入および運用方策の決定が家庭用エネルギー供給システムの性能を発揮する上で重要である.本年は家庭用ヒートポンプ式給湯機の部分負荷および蓄熱特性を実験により解明することを目的とし,負荷試験装置の設計・組立てを行い,モデル同定を実施した.また,負荷試験により同定されたエネルギー収支モデルを最適運用計画モデルへと拡張し,サンプリング時間ごとの蓄熱量の推移も含め運用方策を計画する問題を定式化した.運用計画問題においてエネルギー需要量を外生変数として入力することで,様々な需要特性に対するシステムの運用成績を評価可能とした.

 

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