Study on Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads | Chapter 03 | Novel Perspectives of Engineering Research Vol. 5

 This study offers a multi-energy complementary CCHP system that incorporates renewable energy sources as well as programmable heating, cooling, and electrical loads. CCHP systems (combined cooling, heating, and power) are a promising energy-saving and environmentally benign technology. Their performance in terms of energy, economy, and environmental issues, on the other hand, is determined by the operating plan. The system employs schedulable loads rather than energy storage, while also presenting a collaborative optimization scheduling technique that combines energy supply and load demand into a single optimization framework to achieve optimal system performance. The link between indoor and outdoor house temperatures is used to create scheduleable cooling and heating load models. To acquire the best day-ahead scheduling scheme, a genetic algorithm is used to optimise the overall performance of energy, economy, and environment variables. Case studies are carried out to ensure that the given strategy is effective. For a typical summer day, the proposed method saves 7.44 percent of primary energy, 6.59 percent of greenhouse gas emissions, and 4.73 percent of operation costs, respectively, when compared to a system involving thermal energy storage and demand response (DR), demonstrating the feasibility and superiority of the proposed approach. Then, based on changeable temperatures, models for schedulable cooling and heating loads were developed. The trade-off between the PESR, ERR, and OCSR performance indexes was also determined using a multi-objective optimization method.

Author(S) Details

Xiao Gong
School of Control Science and Engineering, Shandong University, Jinan 250061, China.

Fan Li
School of Control Science and Engineering, Shandong University, Jinan 250061, China.

Bo Sun
School of Control Science and Engineering, Shandong University, Jinan 250061, China.

Dong Liu
School of Control Science and Engineering, Shandong University, Jinan 250061, China

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