Thermal energy control in building energy system

Thermal Science

卷:25

Chen Yuan¹ 

[1] Hetao College, Bayaner City, Inner Mongolia Autonomous Region, China;

关键词: combined cooling;    thermal energy storage;    stochastic planning building energy system;    benders decomposition algorithm;    pareto optimal solution set;    heating and power system;   

DOI  :  10.2298/TSCI2104123C

来源: DOAJ

【 摘 要 】

There is usually a waste of energy consumption in building systems. To help buildings reduce energy waste, the article established a building-sharing heat and power energy sharing system to achieve optimal energy allocation. Furthermore, the report determined the dual operation strategy model of using heat energy to determine power supply and electricity to determine heat energy. At the same time, we use stochastic programming and multi-objective optimization of the heating model and propose a two-level optimization model solution method based on the Benders decomposition algorithm. At the end of the thesis, the process was applied to actual cases to verify the method’s effectiveness.

【 授权许可】

Unknown