A Case Study of Operation Optimization on A Renewable Energy Building by E-CPS Method: From Both Sides of Supply and Demand

• Published in: Energy procedia Vol. 158; pp. 6145 - 6151
• Main Authors: Zhong, Shengyuan, Deng, Shuai, Zhao, Jun, Wang, Yongzhen, Su, Pengwei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2019
• Subjects: building energy system; cyber physical system; data mining; energy cyber physical system; renewable energy; renewable energy; building energy system; energy cyber physical system; data mining; cyber physical system
• ISSN: 1876-6102; 1876-6102
• DOI: 10.1016/j.egypro.2019.01.496

The energy system’s operation strategy has a significant influence on the system efficiency. The determination of the optimal operation strategy requires the effective application of a substantial amount of data accumulated from the operation or even forecasting process. However, data processing, which is not obtained based on the physical mechanism, may fail to explain, under certain boundary conditions. Therefore, using E-CPS to combine data mining and physical model to build a more efficient and accurate model or even a real-time model is vital and has received more attention in practical applications. This paper proposes a general process for constructing E-CPS and applies it to the simulation of building energy systems. The E-CPS results in a 70% reduction in the renewable energy waste rate of the building’s energy system and a 57% reduction in the purchase of electricity. Finally, it is concluded that the use of intelligent algorithm-based data mining combined with physical models to build E-CPS is practical and effective.