TY - GEN
T1 - Optimizing the Facility Planning in BEMS Using HOMER for Expandable Micro-Grids Clusters
AU - Miyake, Shuhei
AU - Kudtongngam, Jasada
AU - Iwamura, Kazuaki
AU - Nakanishi, Yosuke
N1 - Funding Information:
VI. ACKNOWLEDGEMENT This research was supported by Japan Science and Technology Agency, National Science and Technology Development Agency of Thailand as part of the e-ASIA Joint Research Program (e-ASIA JRP).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - In recent years, the popularity of micro-grids has been growing with the rapid growth of renewable resources. In addition, a significant part of the energy globally consumed could be attributed to the building sector. Thus, to develop the expandable micro-grid clusters (EMGCs), the authors investigate optimal facility planning in the building energy management system (BEMS), which is one of the important component of EMGCs. To optimize the total facility cost of BEMS, the hybrid optimization of multiple energy resources, i.e., HOMER, a simulation tool developed by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL), is applied. A BEMS is simulated using photovoltaic generation, battery storage, a converter, and a load. The authors vary the eight types of battery capacity and investigate the correlation among the whole system for optimizing the facility configuration by minimizing the facility's lifecycle cost. The simulations reveal the optimal facility configuration that minimizes long-term costs.
AB - In recent years, the popularity of micro-grids has been growing with the rapid growth of renewable resources. In addition, a significant part of the energy globally consumed could be attributed to the building sector. Thus, to develop the expandable micro-grid clusters (EMGCs), the authors investigate optimal facility planning in the building energy management system (BEMS), which is one of the important component of EMGCs. To optimize the total facility cost of BEMS, the hybrid optimization of multiple energy resources, i.e., HOMER, a simulation tool developed by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL), is applied. A BEMS is simulated using photovoltaic generation, battery storage, a converter, and a load. The authors vary the eight types of battery capacity and investigate the correlation among the whole system for optimizing the facility configuration by minimizing the facility's lifecycle cost. The simulations reveal the optimal facility configuration that minimizes long-term costs.
KW - Building Energy Management System
KW - Clusters
KW - HOMER
KW - Micro-grid
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85071442532&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071442532&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2019.8791665
DO - 10.1109/ISGT.2019.8791665
M3 - Conference contribution
AN - SCOPUS:85071442532
T3 - 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
BT - 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2019
Y2 - 18 February 2019 through 21 February 2019
ER -