Optimal Operation of Heat Source and Thermal Energy Storage in Two Systems: District Heating and Cooling and Heat-sharing Network

摘要

Thermal energy storage has been becoming increasingly popular for peak-shifting to reduce energy consumption. It is also expected that sharing heat among several buildings in a district uses energy efficiently. However, optimization of energy systems at the district level poses a difficult problem due to the large number of decision variables compared to a single building with complex characteristics of heat sources. Therefore, an epsilon constrained differential evolution with random jumping algorithm (DE-RJ) has been proposed in this study to solve the problem directly without linearization. This method can rapidly resolve the issue while maintaining accuracy and obtain more efficient results than an empirical operation.