Abstract
This paper develops a multi-objective optimal model of the new integrated system based on the comprehensive indicators, i.e. primary energy saving ratio, CO2emission reduction ratio and annual expense saving ratio. The key design parameters, such as the prime mover capacity (PM), the outlet temperature from heat pump and the decision value to run the PM, are optimized by genetic algorithm. In order to verify the multi-objective optimal model, a case analysis is presented. The results show that the comprehensive performance of 26.8% is the best when the PM capacity is selected as 1136 kW, the decision value is set as 0.6 and the outlet temperature from heat pump is set as 25. Moreover, a sensitivity analysis is implemented to identify how the system performance changes regarding the variation of key design parameters. Finally, it is concluded that the multi-objective optimal model is very helpful for the optimization design and practical applications of the CHP-HP integrated system.
| Original language | English |
|---|---|
| Pages (from-to) | 217-227 |
| Number of pages | 11 |
| Journal | Energy Conversion and Management |
| Volume | 146 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
Keywords
- Combined heating and power system
- Genetic algorithm
- Heat pump
- Integrated system
- Multi-objective optimization
- Sensitivity analysis
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Nuclear Energy and Engineering
- Fuel Technology
- Energy Engineering and Power Technology
