Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - 2019 Jun 1
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 2019 Jun 232019 Jun 27

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
CountryItaly
CityMilan
Period19/6/2319/6/27

Fingerprint

Fuel cells
Electrolytes
Planning
Polymers
Costs
Waste heat
Energy conservation
Electricity
Computer simulation
Water

Keywords

  • Cost minimization
  • Machine learning
  • Operation planning
  • Polymer electrolyte fuel cell cogeneration systems

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

Cite this

Tsuchiya, Y., Hayashi, Y., Fujimoto, Y., Yoshida, A., & Amano, Y. (2019). Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS. In 2019 IEEE Milan PowerTech, PowerTech 2019 [8810471] (2019 IEEE Milan PowerTech, PowerTech 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2019.8810471

Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS. / Tsuchiya, Yuta; Hayashi, Yasuhiro; Fujimoto, Yu; Yoshida, Akira; Amano, Yoshiharu.

2019 IEEE Milan PowerTech, PowerTech 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8810471 (2019 IEEE Milan PowerTech, PowerTech 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tsuchiya, Y, Hayashi, Y, Fujimoto, Y, Yoshida, A & Amano, Y 2019, Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS. in 2019 IEEE Milan PowerTech, PowerTech 2019., 8810471, 2019 IEEE Milan PowerTech, PowerTech 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Milan PowerTech, PowerTech 2019, Milan, Italy, 19/6/23. https://doi.org/10.1109/PTC.2019.8810471
Tsuchiya Y, Hayashi Y, Fujimoto Y, Yoshida A, Amano Y. Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS. In 2019 IEEE Milan PowerTech, PowerTech 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8810471. (2019 IEEE Milan PowerTech, PowerTech 2019). https://doi.org/10.1109/PTC.2019.8810471
Tsuchiya, Yuta ; Hayashi, Yasuhiro ; Fujimoto, Yu ; Yoshida, Akira ; Amano, Yoshiharu. / Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS. 2019 IEEE Milan PowerTech, PowerTech 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE Milan PowerTech, PowerTech 2019).
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