Optimizing the Facility Planning in BEMS Using HOMER for Expandable Micro-Grids Clusters

被引:2
作者
Miyake, Shuhei [1 ]
Kudtongngam, Jasada [2 ]
Iwamura, Kazuaki [1 ]
Nakanishi, Yosuke [1 ]
机构
[1] Waseda Univ, Grad Sch Environm & Energy Engn, Tokyo, Japan
[2] Natl Elect & Comp Technol Ctr, Adv Automat & Elect Res Unit, Pathum Thani, Thailand
来源
2019 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2019年
基金
日本科学技术振兴机构;
关键词
Micro-grid; Clusters; Building Energy Management System; HOMER; Optimization;
D O I
10.1109/isgt.2019.8791665
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:5
相关论文
共 7 条
[1]  
Fanti MP, 2015, IEEE INT CON AUTO SC, P432, DOI 10.1109/CoASE.2015.7294117
[2]  
Farret FA, 2006, INTEGRATION OF ALTERNATIVE SOURCES OF ENERGY, P1
[3]   Optimal planning and design of a renewable energy based supply system for microgrids [J].
Hafez, Omar ;
Bhattacharya, Kankar .
RENEWABLE ENERGY, 2012, 45 :7-15
[4]  
IRENA, 2017, Planning for the renewable future: Long-term modelling and tools to expand variable renewable power in emerging economies
[5]   Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization [J].
Kontes, Giorgos D. ;
Valmaseda, Cesar ;
Giannakis, Georgios I. ;
Katsigarakis, Kyriakos I. ;
Rovas, Dimitrios V. .
JOURNAL OF PROCESS CONTROL, 2014, 24 (06) :846-855
[6]  
Missaoui R, 2012, IEEE PES INNOV SMART
[7]  
Sharma H, 2016, 2016 THE 4TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE), P153, DOI 10.1109/SEGE.2016.7589517