TY - GEN
T1 - Estimation of expected cost curve on operation parameter space for planning residential PEFC-CGS
AU - Tsuchiya, Yuta
AU - Hayashi, Yasuhiro
AU - Fujimoto, Yu
AU - Yoshida, Akira
AU - Amano, Yoshiharu
N1 - Funding Information:
V. CONCLUSION In this work, we focused on the PEFC–CGS operation planning method and proposed a new approach based on a multiple output prediction. The approach was evaluated in a numerical simulation using actual demand data by comparison with the conventional approach based on a set of single output predictions. The results suggest that considering the relative appropriateness compared to other operation plans is important, and multiple output prediction is useful to reduce operation cost. We will inspect the appropriateness of the explanatory variables ACKNOWLEDGMENT This work was supported by Japan Science and Technology Agency’s CREST (Grant Number JPMJCR15K5).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
KW - Cost minimization
KW - Machine learning
KW - Operation planning
KW - Polymer electrolyte fuel cell cogeneration systems
UR - http://www.scopus.com/inward/record.url?scp=85072335957&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072335957&partnerID=8YFLogxK
U2 - 10.1109/PTC.2019.8810471
DO - 10.1109/PTC.2019.8810471
M3 - Conference contribution
AN - SCOPUS:85072335957
T3 - 2019 IEEE Milan PowerTech, PowerTech 2019
BT - 2019 IEEE Milan PowerTech, PowerTech 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Milan PowerTech, PowerTech 2019
Y2 - 23 June 2019 through 27 June 2019
ER -
