Optimal Capacity Planning of Hybrid Renewable Energy - CCHP System Considering Inter Seasonal Borehole Thermal Energy Storage
Yuan Du, Yixun Xue, Lei Chen, Mohammad Shahidehpour, Lei Yang, Xin‐Rong Zhang
Abstract
Combined cooling, heating, and power (CCHP) systems are recognized for their high energy efficiency, with utilization rates exceeding 80%. However, traditional CCHP systems often rely on microgas turbines, contributing to carbon emissions. In this paper, we design a hybrid renewable energy - CCHP system, where the electric load is provided by photovoltaic and wind power, and the heating/cooling loads are supplied by converting power to heat by heat pumps. Considering the seasonal variability of renewable energy generation, we introduce borehole thermal energy storage (BTES) into the CCHP system, transforming the ground into a thermal storage that stores excess energy during summer for use in winter. We formulate the problem as a two-stage robust model with decision-dependent uncertainty. Then, we develop a customized algorithm based on Benders decomposition to effectively solve this model and discuss the algorithm improvement techniques. Our approach is validated through a case study of an actual system in Ordos, China, where the effects of BTES integration, uncertainty budget value, and varying ratios of renewable energy are analyzed.