Simulation and experiment investigation of a heating and power double function system with multi-objective optimization. (February 2022)

• Record Type: Journal Article
• Authors: Wu, Zhangxiang; Sha, Li; Zhang, Yufeng
• Is Part Of: Sustainable energy technologies and assessments. Volume 49(2022)
• Publication Date: 2022-02
• Subjects: Double function system -- Power generation -- Heat pump -- Mathematical model -- Multi-objective optimization; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2021.101768
• Languages: English
• ISSNs: 2213-1388

Abstract

Highlights: A novel double function system was presented. A mathematical model was established to analyze the system performance. Experimental investigation of the double function system was carried out. Multi-objective optimization was applied to solve the conflicting problem. Abstract: As conventional organic Rankine cycle (ORC) power generation and reverse Carnot cycle (RCC) heat pump systems have some limitations for a fixed heat source. This study proposed a novel RCC and ORC double function system which can work in the ORC power generation mode and RCC heat pump mode for district heating and power output, respectively. The energy model is firstly established to analyze the system thermal performance and then a test rig is built to verify the performance of the system and validate the mathematical model. The economic and environmental analysis are conducted and the multi-objective optimization (MOP) method has been conducted to solve the conflicting problem between the capital cost and payback period under the different operating conditions. Results indicate that the system has good feasibility and stability which can provide 5.96 kW power output with the thermal efficiency of 5.23 % and 60.02 kW heating capacity with the COP of 2.85. The errors of the experiment to simulation COP and the error of experiment to simulation thermal efficiency value are all less than 10%. The optimization consequences based on the TOPSIS decision-making and NSGA-II technology indicate that the MOP solution has a better performance compared with the single-objective optimization.