TY - GEN
T1 - A simulation approach for the optimization of distributed energy supply systems based on energy demands in business area
AU - Ueno, Takahiro
AU - Takahashi, Kentaro
AU - Sumiyoshi, Daisuke
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP17K14773 and 18J12025.
Publisher Copyright:
© 2019 Building Simulation Conference Proceedings. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This research aims to optimize configuration, arrangement, and operation of distributed energy supply systems based on energy demands in a business area. We developed a method to estimate the five-minute energy demand of power and heat (heating, cooling and hot water) of non-residential buildings for one year. This method formulated each demand from the standard amount based on statistical and measurement data, by changing it and reproducing the actual fluctuations according to the type of buildings, total floor area, outdoor air temperature and a random number simulation. Furthermore, we estimated energy demands of dozens of buildings in the business area of Japan. Moreover, we set distributed energy supply systems (photovoltaic power generation system, combined heat and power, storage batteries) on these buildings and studied best configuration and operation of these energy systems. This study confirmed that an energy aggregation by introducing a HIC is more suitable than the optimization in individual buildings depending on the purpose.
AB - This research aims to optimize configuration, arrangement, and operation of distributed energy supply systems based on energy demands in a business area. We developed a method to estimate the five-minute energy demand of power and heat (heating, cooling and hot water) of non-residential buildings for one year. This method formulated each demand from the standard amount based on statistical and measurement data, by changing it and reproducing the actual fluctuations according to the type of buildings, total floor area, outdoor air temperature and a random number simulation. Furthermore, we estimated energy demands of dozens of buildings in the business area of Japan. Moreover, we set distributed energy supply systems (photovoltaic power generation system, combined heat and power, storage batteries) on these buildings and studied best configuration and operation of these energy systems. This study confirmed that an energy aggregation by introducing a HIC is more suitable than the optimization in individual buildings depending on the purpose.
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M3 - Conference contribution
AN - SCOPUS:85107335384
T3 - Building Simulation Conference Proceedings
SP - 3421
EP - 3428
BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
A2 - Corrado, Vincenzo
A2 - Fabrizio, Enrico
A2 - Gasparella, Andrea
A2 - Patuzzi, Francesco
PB - International Building Performance Simulation Association
T2 - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Y2 - 2 September 2019 through 4 September 2019
ER -
