TY - JOUR
T1 - Determination method of operation plan for fuel cells in collective housing with electric power interchange system
AU - Kameda, Manato
AU - Fujimoto, Yu
AU - Hayashi, Yasuhiro
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper, the authors propose an electric power interchange system in collective housing with fuel cells (FCs) and a determination method of operation plan for FCs in the collective housing. In the method, the operation plan for FCs is determined from an evaluation point, primary energy consumption of all houses in the collective housing, based on an enumeration method and particle swarm optimization (PSO) which is one of non-liner optimization methods. In order to examine the validity of the determination method, numerical simulations are carried out for the collective housing model, primary energy consumptions of the model are compared to those of a standard system (without FCs), and the reduction effects are evaluated taking uncertainty into consideration by using 10,000 demand patterns which are represented by 40 observational demand data based on the bootstrap method. In addition, the reduction effects by reducing introduced FCs by half are also evaluated from the point of primary energy consumptions, operating efficiency and running efficiency.
AB - In this paper, the authors propose an electric power interchange system in collective housing with fuel cells (FCs) and a determination method of operation plan for FCs in the collective housing. In the method, the operation plan for FCs is determined from an evaluation point, primary energy consumption of all houses in the collective housing, based on an enumeration method and particle swarm optimization (PSO) which is one of non-liner optimization methods. In order to examine the validity of the determination method, numerical simulations are carried out for the collective housing model, primary energy consumptions of the model are compared to those of a standard system (without FCs), and the reduction effects are evaluated taking uncertainty into consideration by using 10,000 demand patterns which are represented by 40 observational demand data based on the bootstrap method. In addition, the reduction effects by reducing introduced FCs by half are also evaluated from the point of primary energy consumptions, operating efficiency and running efficiency.
KW - Cogeneration
KW - Distributed generation
KW - Fuel cell
KW - Operation schedule
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=84906542740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906542740&partnerID=8YFLogxK
U2 - 10.1541/ieejpes.134.682
DO - 10.1541/ieejpes.134.682
M3 - Article
AN - SCOPUS:84906542740
SN - 0385-4213
VL - 134
SP - 682
EP - 691
JO - IEEJ Transactions on Power and Energy
JF - IEEJ Transactions on Power and Energy
IS - 8
ER -