2022/08/17 更新

写真a

ヨシダ アキラ
吉田 彬
所属
研究院(研究機関) スマート社会技術融合研究機構
職名
次席研究員(研究院講師)

兼担

  • 理工学術院   基幹理工学部

学歴

  • 2012年04月
    -
    2015年03月

    早稲田大学   基幹理工学研究科   機械科学専攻  

  • 2010年04月
    -
    2012年03月

    早稲田大学   基幹理工学研究科   機械科学専攻  

  • 2006年04月
    -
    2010年03月

    早稲田大学   理工学部   機械工学科  

学位

  • 早稲田大学   博士(工学)

  • 早稲田大学   修士(工学)

経歴

  • 2019年04月
    -
    2022年03月

    スマート社会技術融合研究機構   次席研究員・研究院講師

  • 2018年04月
    -
    2019年03月

    基幹理工学部   機械科学・航空学科   講師(任期付)

  • 2016年04月
    -
    2018年03月

    基幹理工学部   機械科学・航空学科   助教

  • 2013年04月
    -
    2016年03月

    基幹理工学部   機械科学・航空学科   助手

所属学協会

  •  
     
     

    IEEE

  •  
     
     

    計測自動制御学会

  •  
     
     

    エネルギー・資源学会

  •  
     
     

    アメリカ機械学会

  •  
     
     

    日本機械学会

 

研究分野

  • ロボティクス、知能機械システム

  • 地球資源工学、エネルギー学   省エネルギー

  • 制御、システム工学   モデル予測制御

研究キーワード

  • 需要家側エネルギーリソース

  • エネルギー管理システム

  • 最適制御

  • 最適運用

  • 最適設計

  • 省エネルギー

▼全件表示

論文

  • Economic analysis of a proton exchange membrane electrolyser cell for hydrogen supply scenarios in Japan

    Akira Yoshida, Hiroto Nakazawa, Naoki Kenmotsu, Yoshiharu Amano

    Energy   251  2022年07月

     概要を見る

    Hydrogen production using variable renewable energy surplus electricity that called Power-to-Gas is attracting attention as a grid stabilization technology. However, there is an issue that Power-to-Gas is low economically viable to use only for stabilizing of variable renewable energy output. The objective of this article is to evaluate the economic efficiency of the Power-to-Gas system based on the optimal operation strategies by using electricity from both an on-site photovoltaic system and an electric power exchange market, assuming a specific situation in Japan in the near future. The Power-to-Gas plant considered in this article consists of a 1 MW proton exchange membrane electrolyser cell, which has already started demonstration tests, a hydrogen storage tank, and a 3 MW photovoltaic system. An operational planning problem of the plant to optimize the annual hydrogen production schedule is formulated as a mixed-integer linear programming problem, and the economic efficiency is evaluated using the optimized unit price of hydrogen production as an evaluation index. The result shows that the hydrogen unit price is improved by using the power exchange market in addition to on-site photovoltaic due to the improvement of the utilization rate of cell. Case 1 with no constraints of hydrogen storage which has a large impact on hydrogen unit price marks 46.8 JPY/NM3 of the best hydrogen unit price, and Case 2-1, in which a fixed amount of hydrogen is produced continuously and transported by gas piping, improves 5.8 JPY/Nm3 of the hydrogen unit price compared to Case 2-2, in which batch transportation by a loader. From the sensitivity analysis of varying the depreciation cost of electrolyser cell and the price of the power market, it was concluded that the target unit cost of hydrogen production of less than 30 JPY/Nm3 can be obtained by decreasing the depreciation cost of the cell by 50% and the price of the market by 30%.

    DOI

  • Dealing with uncertainty in automated operational planning for residential fuel cell system: A comparative study of state-of-the-art approaches

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

    Energy and Buildings   255   111614 - 111614  2022年01月

    DOI

  • Estimation of the utility value of unused heat sources for a CO<inf>2</inf> network system in Tokyo

    Takahiro Nagano, Jungo Kajita, Akira Yoshida, Yoshiharu Amano

    Energy   226  2021年07月

     概要を見る

    District heating and cooling (DHC) systems have attracted interest in reducing CO2 emissions. A fifth-generation DHC (5GDHC) system that supplies a heat-transport medium at a temperature close to the ground and uses various unused heat sources is proposed. Meanwhile, some DHC systems installed in Japan are first-generation DHC (1GDHC) systems that use fossil fuels as a heat source. Based on these scenarios, this study focuses on the energy-saving effects of introducing a CO2 network system in Tokyo, which is based on the same concepts as the 5GDHC systems. The purpose of this study is to estimate the utility value of unused heat sources for the CO2 network system. An analytical model is developed that calculates the energy consumption of the system under exogenous conditions, such as those for energy consumers and heat sources. Applying a model to a domestic urban area in Tokyo, where a conventional 1GDHC system was introduced, it was confirmed that for a total head of groundwater of 50 m, river water of 10 m, and sewage water of 10 m, the potential annual CO2 reduction is approximately 5,000 ton/y compared with the 1GDHC system. These values are feasible in Tokyo, and therefore, this system looks promising.

    DOI

  • 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年09月  [査読有り]

    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年09月  [査読有り]

  • 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

    Proc. ECOS2020     1295 - 1306  2020年06月  [査読有り]

  • 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年06月  [査読有り]

  • 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年06月  [査読有り]

  • 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年06月  [査読有り]

  • 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年06月  [査読有り]

  • 2030 年に向けた電力融通可能な集合住宅における最適機器構成の分析

    片山 慎也, 吉田 彬, 天野 嘉春

    エネルギー学会誌   41 ( 1 ) 11 - 20  2020年01月  [査読有り]

  • 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年12月

     概要を見る

    © 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年12月  [査読有り]  [招待有り]

    DOI

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

    Shinya Katayama, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2019     1235 - 1246  2019年06月  [査読有り]

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

    Akira Yoshida, Yoshiharu Amano, Yu Fujimoto, Yasuhiro Hayashi

    Proc. ECOS2019     1327 - 1335  2019年06月  [査読有り]

  • 2030年を目指した標準住戸の需要規模がCO2排出量最少となる住設機器構成に与える影響の分析

    片山 慎也, 永井 俊行, 吉田 彬, 天野 嘉春

    エネルギー・資源学会論文誌   39 ( 6 ) 19 - 28  2019年02月  [査読有り]

    DOI

  • 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年  [査読有り]

    DOI

  • Asynchronous ADMM HEMS aggregation scheme in smart grid

    Akira Yoshida, Yu Fujimoto, Yoshiharu Amano, Yasuhiro Hayashi

    Proc. ECOS2018    2018年06月  [査読有り]

  • 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年03月

     概要を見る

    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

  • 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年01月

     概要を見る

    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年07月  [査読有り]

  • 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年07月  [査読有り]

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

    Harunobu Ikegami, Akira Yoshida, Yoshiharu Amano

    Proc. ECOS2017    2017年07月  [査読有り]

  • 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年

     概要を見る

    © 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年  [査読有り]

     概要を見る

    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年07月  [査読有り]

     概要を見る

    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年06月  [査読有り]

  • 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年

     概要を見る

    <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

  • 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年  [査読有り]

     概要を見る

    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

  • 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年

     概要を見る

    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年

     概要を見る

    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年

     概要を見る

    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年

     概要を見る

    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年

     概要を見る

    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年12月  [査読有り]

     概要を見る

    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年

     概要を見る

    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.

  • 太陽電池・蓄電池組込み型PEFCシステムの省エネルギー性評価

    吉田 彬, 伊東 弘一, 天野 嘉春

    日本機械学会論文集   80 ( 816 ) TEP0229 - TEP0229  2014年

     概要を見る

    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年

     概要を見る

    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.

  • 病院用エネルギー供給システムの更新計画における初期システムの影響分析

    吉田 修, 吉田 彬, 伊東 弘一, 天野 嘉春

    日本機械学会論文集 B編   79 ( 806 ) 2312 - 2323  2013年

     概要を見る

    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.

    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年

     概要を見る

    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年

     概要を見る

    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.

▼全件表示

Misc

  • 太陽光発電の余剰電力活用が家庭用エネルギーシステムのCO₂排出量に与える影響

    永井 俊行, 吉田 彬, 天野 嘉春

    エネルギー・資源学会研究発表会講演論文集   35   33 - 38  2016年06月

    CiNii

  • S0830203 家庭用PEFC-CGSにおける需要予測精度が省エネルギー性に与える影響の分析

    吉川 潤, 吉田 彬, 天野 嘉春

    年次大会 : Mechanical Engineering Congress, Japan   2015   "S0830203 - 1"-"S0830203-5"  2015年09月

     概要を見る

    The main objective of this study is to clarify the impact of energy demand prediction accuracy on optimal operating result of residential energy supply system. In this paper, the energy system consists of polymer electrolyte fuel cell cogeneration system and electrical-driven heating, ventilating and air conditioning system. Primary energy of operational results with various demand prediction patterns are calculated in order to analyze the effect of demand prediction error. As a result, it is concluded that prediction error of energy demand causes 54.3 MJ/day increase of daily primary energy in the worst case, and annual primary energy consumption can be reduced by 13.2% with the best prediction in comparison with the worst one. Furthermore, the impact of energy demand prediction accuracy on daily primary energy has relationship with the amount of hot water demand. Therefore, the effectiveness of using the amount of hot water demand as a parameter for demand prediction is suggested in terms of energy saving.

    CiNii

  • S0830104 実測に基づく燃料電池・コージェネレーションシステムの特性評価に関する研究

    吉田 彬, 古市 匠, 天野 嘉春

    年次大会 : Mechanical Engineering Congress, Japan   2015   "S0830104 - 1"-"S0830104-5"  2015年09月

     概要を見る

    The objective of this paper is to identify the model parameter of PEM fuel cell cogeneration in order to contribute to the building performance simulation for design and operation. As cogeneration system has many operational alternative strategies, the simulation using the mathematical model of cogeneration needs to predict accurate prime mover's thermal and electrical output, and also needs to represent characteristics of both steady state and transient state, for the aim of evaluate accurate energy performance and CO2 emissions. We made a test environment for parameter identification of PEM fuel cell cogeneration, and examined operational characteristics on steady state and transient state. As a result, the model parameter of PEM fuel cell cogeneration was identified, and was also validated.

    CiNii

  • 予測・運用・制御の一貫したGEMSの電圧制御とHEMSの電熱運用手法との協調EMS手法の評価 (電力技術 電力系統技術合同研究会・(1)電力技術・電力系統技術一般,(2)分散電源)

    芳澤 信哉, 河野 俊介, 吉田 彬, 藤本 悠, 村田 昇, 若尾 真治, 田辺 新一, 天野 嘉春, 林 泰弘

    電気学会研究会資料. PE   2014 ( 66 ) 63 - 67  2014年09月

    CiNii

  • S0840101 快適性を考慮した家庭用エネルギーシステムの最適運用方策の検討([S084]分散型エネルギーシステム,動力エネルギーシステム部門)

    吉田 彬, 藤本 悠, 村田 昇, 若尾 真治, 田辺 新一, 天野 嘉春

    年次大会 : Mechanical Engineering Congress, Japan   2014   "S0840101 - 1"-"S0840101-5"  2014年09月

     概要を見る

    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 確率計画法を用いたエネルギー需要シナリオに対する家庭用PEFCシステムの最適運用方策の検討(OS4 省エネルギー・コジェネ・ヒートポンプ(3))

    吉田 彬, 小方 亮平, 村田 昇, 天野 嘉春

    動力・エネルギー技術の最前線講演論文集 : シンポジウム   2014 ( 19 ) 93 - 96  2014年06月

     概要を見る

    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 家庭用PEFCシステムにおける給湯需要予測誤差が省エネルギー性に及ぼす影響の評価(OS4 省エネルギー・コジェネ・ヒートポンプ(3))

    小方 亮平, 吉田 彬, 村田 昇, 天野 嘉春

    動力・エネルギー技術の最前線講演論文集 : シンポジウム   2014 ( 19 ) 97 - 100  2014年06月

     概要を見る

    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 蓄電池の劣化特性を考慮した家庭用PV-BTシステムの検討(OS2 再生可能エネルギー(4))

    佐藤 富一, 吉田 彬, 天野 嘉春, 伊東 弘一

    動力・エネルギー技術の最前線講演論文集 : シンポジウム   2013 ( 18 ) 235 - 238  2013年06月

     概要を見る

    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

  • B104 戸建住宅における電力・給湯需要に対する各種エネルギー供給システムの比較分析(OS3 省エネルギー・コジェネ技術),動力エネルギーシステム部門20周年,次の20年への新展開)

    吉田 彬, 小川 雅也, 天野 嘉春, 伊東 弘一, 橋詰 匠

    動力・エネルギー技術の最前線講演論文集 : シンポジウム   2010 ( 15 ) 49 - 52  2010年06月

     概要を見る

    Comparative evaluation has been studied on energy systems to supply hot water for detached houses, which are CO_2 heat pump, small scale gas engine and polymer electrolyte fuel cell cogeneration systems together with gas fired hot water boiler with latest heat recovery. For energy demand data measured at 15 houses through one year, energy saving and CO_2 emission characteristics of systems are evaluated comparatively by applying mathematical optimization method. As the numerical result, it is concluded that CO_2 heat pump system has advantage of saving energy and of reducing CO_2 emission compared with other systems.

    CiNii

▼全件表示

受賞

  • Best Paper Award Second Prize of ECOS 2015

    2016年06月  

  • 日本機械学会三浦賞

    2012年03月   JSME  

共同研究・競争的資金等の研究課題

  • CO2を熱輸送媒体とする地域熱供給システムの最適設計基盤の構築

    研究期間:

    2019年04月
    -
    2022年03月
     

     概要を見る

    熱と電力双方を面的に最適利用するシステムを提案する.これはCO2を採用することで常温近傍の潜熱輸送を実現し,熱損失を抑える利点をもつ.また,一組の輸送配管で温熱および冷熱双方に対応し,需要の局所的な不均一性の平準化が可能である.システム開発にはCO2給湯機などの開発で培った技術を利用可能である.同時に,最小限の要素で最適なサイクルを構成する組み合わせ最適化理論を構築することで,地域で利用可能な再生可能エネルギー資源や,未利用熱源を最大限利用した発電・冷凍・冷温熱供給装置からなるシステムを最適化する設計・開発環境を構築し,熱力学的な最適性を担保した地域エネルギー供給システムの設計を可能とする

  • HEMSアグリゲーションのための分散最適化手法

    日本学術振興会  科学研究費助成事業

    研究期間:

    2018年04月
    -
    2021年03月
     

講演・口頭発表等

  • 地熱発電システムにおける運転等の管理高度化に係る技術開発 -多層パーセプトロンによる生産井圧力の異常検知-

    吉田 彬, 今川 敦博, 天野 嘉春, 福田 憲弘

    日本地熱学会 令和2年度学術講演会   日本地熱学会  

    発表年月: 2020年11月

  • 電気自動車と太陽光発電を有する住宅地域におけるRE100実現に向けた検討

    中澤 寛人, 片山 慎也, 吉田 彬, 長崎 芳樹, 小野寺 真, 小林 和幸, 天野 嘉春

    日本機械学会関東支部 第26期総会・講演会   (東京)  JSME  

    発表年月: 2020年03月

  • 機械学習を用いた家庭用エネルギー機器の最適運用方策の導出と検討

    片山 慎也, 吉田 彬, 天野 嘉春

    日本機械学会関東支部 第26期総会・講演会   (東京)  JSME  

    発表年月: 2020年03月

  • 複数住宅の断熱・蓄熱性能と住設機器の組み合わせを考慮した協調節電効果の分析

    齋藤 寅之輔, 片山 慎也, 吉田 彬, 天野 嘉春

    日本機械学会関東支部 第26期総会・講演会   (東京)  JSME  

    発表年月: 2020年03月

  • CO2を熱輸送媒体とする複合型ビル用熱供給システムの導入効果の検討

    梶田 純吾, 永野 貴大, 吉田 彬, 天野 嘉春

    日本機械学会 関東学生会 第59回 学生員卒業研究発表   (東京)  JSME  

    発表年月: 2020年03月

  • 機械学習を用いた地熱発電サイトの実データ解析手法の開発

    今川 敦博, 吉田 彬, 天野 嘉春

    日本機械学会 関東学生会 第59回 学生員卒業研究発表   (東京)  JSME  

    発表年月: 2020年03月

  • 太陽光発電大量導入地域における蓄熱システムの余剰電力吸収効果の検討

    吉田 彬, 矢部 邦明, 天野 嘉春, 林 泰弘

    第36回エネルギーシステム・経済・環境カンファレンス   (東京)  JSER  

    発表年月: 2020年01月

  • 地域冷暖房を対象としたデマンドレスポンスのポテンシャル評価

    吉田 彬, 石井 英雄, 天野 嘉春, 林 泰弘

    第36回エネルギーシステム・経済・環境カンファレンス   (東京)  JSER  

    発表年月: 2020年01月

  • 電気自動車と太陽光発電を有する戸建住宅におけるRE100実現に向けた検討

    中澤 寛人, 片山 慎也, 吉田 彬, 外内 裕子, 小野寺 真, 小林 和幸, 天野 嘉春

    第36回エネルギーシステム・経済・環境カンファレンス   JSER  

    発表年月: 2020年01月

  • 積算給湯需要予測に基づく家庭用燃料電池の運用計画作成手法

    土屋 裕太, 藤本 悠, 吉田 彬, 天野 嘉春, 林 泰弘

    令和元年電気学会電力・エネルギー部門大会   (広島)  IEEJ  

    発表年月: 2019年09月

  • 熱回路網モデルおよび混合整数最適化モデルから構成されるエネルギー評価基盤を用いた実在都市に対する2030年におけるエネルギー消費動向のシナリオ分析

    齋藤 寅之輔, 吉田 彬, 天野 嘉春

    日本機械学会 2019年度 年次大会   (秋田)  JSME  

    発表年月: 2019年09月

  • 2030年に向けた電力融通可能な集合住宅における最適機器構成の分析

    片山 慎也, 吉田 彬, 天野 嘉春

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 蓄熱空調システムの新たな活用とその評価

    石井 英雄, 吉田 彬, 天野 嘉春, 林 泰弘

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 太陽光発電に併設した可逆燃料電池による余剰電力吸収効果の検討

    吉田 彬, 天野 嘉春

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 2030年に向けた電力融通可能な集合住宅における最適機器構成の分析

    片山 慎也, 吉田 彬, 天野 嘉春

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 蓄熱空調システムの新たな活用とその評価

    石井 英雄, 吉田 彬, 天野 嘉春, 林 泰弘

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 太陽光発電に併設した可逆燃料電池による余剰電力吸収効果の検討

    吉田 彬, 天野 嘉春

    第38回エネルギー資源学会研究発表会   (東京)  エネルギー資源学会  

    発表年月: 2019年08月

  • 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) 

    発表年月: 2019年06月

  • 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) 

    発表年月: 2019年06月

  • 家庭用燃料電池の運用計画作成のための給湯需要予測手法に関する一検討

    土屋 裕太, 藤本 悠, 吉田 彬, 天野 嘉春, 林 泰弘

    全国大会   (札幌)  電気学会  

    発表年月: 2019年03月

  • エネルギーチェーンを用いた家庭用エネルギーシステムの環境性分析

    吉田 彬, 天野 嘉春

    第35回エネルギーシステム・経済・環境コンファレンス   (東京)  エネルギー資源学会  

    発表年月: 2019年01月

  • 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) 

    発表年月: 2018年06月

  • 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) 

    発表年月: 2018年06月

  • 交互方向乗数法に基づくHEMSアグリゲーション手法

    吉田 彬, 山口 容平, 松岡 綾子, 天野 嘉春, 下田 吉之, 林 泰弘

    第37回 研究発表会   (大阪)  エネルギー資源学会  

    発表年月: 2018年06月

  • 2030年を目指した標準住戸の需要規模がCO2排出量最少となる住設機器構成に与える影響分析

    片山 慎也, 永井 俊行, 吉田 彬, 天野 嘉春

    第37回 研究発表会   (大阪)  エネルギー資源学会  

    発表年月: 2018年06月

  • 給湯の日需要量予測に基づく家庭用燃料電池の運用計画手法

    土屋 祐太, 藤本 悠, 吉田 彬, 天野 嘉春, 林 泰弘

    電力・エネルギー部門大会   (徳島)  電気学会  

    発表年月: 2018年

  • 電力融通可能な住宅地域におけるCO2排出量最小となる住設機器構成の検討

    永井 俊行, 吉田 彬, 天野 嘉春

    第34回 エネルギーシステム・経済・環境コンファレンス   (大阪)  エネルギー資源学会  

    発表年月: 2018年01月

  • CEMSのための階層的情報のアグリゲーション

    吉田 彬

    エネルギーマネジメントシステムシンポジウム   (新宿)  ACROSS  

    発表年月: 2017年09月

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

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

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

    発表年月: 2017年09月

  • 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) 

    発表年月: 2017年07月

  • 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) 

    発表年月: 2017年07月

  • 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) 

    発表年月: 2017年07月

  • 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  

    発表年月: 2017年06月

  • 天空画像の色情報と雲領域の時間変化に基づくPV発電量短周期予測手法の提案

    吉田 彬, 天野 嘉春

    第22回 動力・エネルギー技術シンポジウム   (豊橋)  日本機械学会  

    発表年月: 2017年06月

  • 家庭用燃料電池における運用コスト最小化を目的としたロバスト運用計画決定手法の一検討

    土屋 祐太, 藤本 悠, 吉田 彬, 天野 嘉春, 林 泰弘

    全国大会   (富山)  電気学会  

    発表年月: 2017年

  • Home Energy Management System on Smart Grid under Uncertainty

    Akira Yoshida

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

    発表年月: 2016年12月

  • 家庭内エネルギー機器の運用計画に基づく最適電気料金プラン選択手法の検討

    黒羽 亮一, 吉田 彬, 広橋 亘, 藤本 悠, 天野 嘉春, 田辺 新一, 林 泰弘

    電力・エネルギー部門大会   (博多)  電気学会  

    発表年月: 2016年09月

  • 二次計画法を用いた業務用エネルギー供給システムにおける部分負荷特性のエネルギー消費特性への影響分析

    池上 晴信, 吉田 彬, 天野 嘉春

    年次大会   (博多)  日本機械学会  

    発表年月: 2016年09月

  • 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  

    発表年月: 2016年06月

  • 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) 

    発表年月: 2016年06月

  • 太陽光発電の余剰電力活用が家庭用エネルギーシステムのCO2排出量に与える影響

    永井 俊行, 吉田 彬, 天野 嘉春

    第35回 研究発表会   (大阪)  エネルギー資源学会  

    発表年月: 2016年06月

  • 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) 

    発表年月: 2016年

  • 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) 

    発表年月: 2016年

  • 家庭用エネルギー管理システムにおける需要予測精度が運用成績に与える影響の分析

    吉川 潤, 吉田 彬, 田辺 新一, 天野 嘉春

    第32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  

    発表年月: 2016年01月

  • PV出力抑制下における家庭用エネルギー管理システムの運用成績評価

    小方 亮平, 吉田 彬, 田辺 新一, 天野 嘉春

    第32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  

    発表年月: 2016年01月

  • 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   (横浜) 

    発表年月: 2015年11月

  • 家庭用PEFC-CGSにおける需要予測精度が省エネルギー性に与える影響の分析

    吉川 潤, 吉田 彬, 天野 嘉春

    年次大会   (札幌)  日本機械学会  

    発表年月: 2015年09月

  • 実測に基づく燃料電池・コージェネレーションシステムの特性評価に関する研究

    吉田 彬, 古市 匠, 天野 嘉春

    年次大会   (札幌)  日本機械学会  

    発表年月: 2015年09月

  • 熱的快適性・省エネルギー性を考慮した窓システムとエアコンの協調制御 : その3:室温変動計算モデルの妥当性評価

    江部 真里奈, 竹中 大史, 長澤 夏子, 田辺 新一, 吉田 彬, 林 泰弘

    2015年度日本建築学会大会  

    発表年月: 2015年09月

  • 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) 

    発表年月: 2015年07月

  • 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) 

    発表年月: 2015年06月

  • 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) 

    発表年月: 2015年06月

  • 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) 

    発表年月: 2015年06月

  • 予測・運用計画・制御手法に基づく家庭用エネルギーシステムの時間帯別料金を考慮した経済性評価

    小方 亮平, 吉田 彬, 藤本 悠, 村田 昇, 若尾 真治, 田辺 新一, 天野 嘉春

    第31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  

    発表年月: 2015年

  • 予測・運用・制御の一貫したGEMSの電圧制御とHEMSの電熱運用手法との協調EMS手法の評価

    芳澤 信哉, 河野 俊介, 吉田 彬, 藤本 悠, 村田 昇, 若尾 真治, 田辺 新一, 天野 嘉春, 林 泰弘

    電力・エネルギー部門 電力系統技術研究会   電気学会  

    発表年月: 2014年09月

  • 熱的快適性・省エネルギー性を考慮した窓システムとエアコンの協調制御 : その1:制御システムと評価対象建物概要

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

    2014年度日本建築学会大会  

    発表年月: 2014年09月

  • 熱的快適性・省エネルギー性を考慮した窓システムとエアコンの協調制御 : その2:協調制御とエアコン単体制御の電力消費量の比較

    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

    2014年度日本建築学会大会  

    発表年月: 2014年09月

  • 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) 

    発表年月: 2014年06月

  • 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) 

    発表年月: 2014年06月

  • 快適性を考慮した家庭用エネルギーシステムの最適運用方策の検討

    吉田 彬, 藤本 悠, 村田 昇, 若尾 真治, 田辺 新一, 天野 嘉春

    年次大会   (千代田)  日本機械学会  

    発表年月: 2014年

  • 確率計画法を用いたエネルギー需要シナリオに対する家庭用PEFCシステムの最適運用方策の検討

    吉田 彬, 小方 亮平, 村田 昇, 天野 嘉春

    第19回 動力・エネルギー技術シンポジウム   (福井)  日本機械学会  

    発表年月: 2014年

  • 家庭用PEFCシステムにおける給湯需要予測誤差が省エネルギー性に及ぼす影響の評価

    小方 亮平, 吉田 彬, 村田 昇, 天野 嘉春

    第19回 動力・エネルギー技術シンポジウム   (福井)  日本機械学会  

    発表年月: 2014年

  • 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, 田辺 新一, 庄司 智昭, 海野 玄陽, 吉田 彬, 林 泰弘

    空気調和・衛生工学会大会   空気調和・衛生工学会  

    発表年月: 2014年

  • 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  

    発表年月: 2014年

  • 家庭用太陽電池システムへの蓄電池の導入効果の分析

    佐藤 富一, 吉田 彬, 天野 嘉春, 伊東 弘一

    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  

    発表年月: 2014年

  • 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   (桂林) 

    発表年月: 2013年07月

  • 家庭用PVシステムと併用する蓄電池の劣化特性を考慮した検討

    佐藤 富一, 吉田 彬, 天野 嘉春, 伊東 弘一

    第18回 動力・エネルギー技術シンポジウム   (千葉)  日本機械学会  

    発表年月: 2013年06月

  • 典型的需要パターンが及ぼすエネルギー供給システムへの影響分析手法の検討

    吉田 彬, 村田 昇, 天野 嘉春

    システム・情報部門 学術講演会   (大津)  計測自動制御学会  

    発表年月: 2013年

  • 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) 

    発表年月: 2012年06月

  • 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) 

    発表年月: 2011年09月

  • 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  

    発表年月: 2011年05月

  • 戸建住宅における電力・給湯需要に対する各種エネルギー供給システムの比較分析

    吉田 彬, 小川 雅也, 天野 嘉春, 伊東 弘一, 橋詰 匠

    第15回 動力・エネルギー技術シンポジウム   日本機械学会  

    発表年月: 2010年06月

▼全件表示

特定課題研究

  • 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年  

     概要を見る

    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年  

     概要を見る

    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年  

     概要を見る

    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.

 

現在担当している科目

担当経験のある科目(授業)

  • 制御系の設計と応用

    早稲田大学  

    2014年04月
    -
    継続中