Optimizing the solar-air hybrid source heat pump heating system based on the particle swarm algorithm

In order to deal with the increasingly severe energy situation and climate change, reducing global carbon emissions and developing new energy have become a universal consensus among countries in the world. The design of clean energy heating systems such as solar collectors (SC) and air source heat p...

Full description

Saved in:
Bibliographic Details
Published in:Energy reports Vol. 8; pp. 379 - 393
Main Authors: Wang, Zhiguo, Chen, Haoyu, Sun, Xiao, Lu, Haibing, Wang, Tianyi
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.10.2022
Elsevier
Subjects:
Air source heat pump
Optimization
Particle swarm algorithm
Sensitivity
Solar energy
Air source heat pump
Sensitivity
Particle swarm algorithm
Optimization
Solar energy
ISSN:2352-4847, 2352-4847
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to deal with the increasingly severe energy situation and climate change, reducing global carbon emissions and developing new energy have become a universal consensus among countries in the world. The design of clean energy heating systems such as solar collectors (SC) and air source heat pumps (ASHP) has also received widespread attention. However, optimizing multiple parameters that interact with each other in the hybrid heating systems such as solar-air hybrid source heat pumps (HSHP) is still challenging, and the optimization of the parameters remains to be studied. By using the TRNSYS simulation platform, modify the performance parameters to decrease the system’s annual cost with particle swarm optimization (PSO) and coordinate search method (CSM), respectively. The results show that two algorithms can significantly enhance the system performance, where it is the easier for PSO to find global optimum, and the average performance index COPsys of the system is about 15% higher than that of the CSM, and the system’s annual power consumption could be lowered by 27.75%; In addition, the matching principle of the key parameters of the hybrid heating system is proposed and the sensitivity ranking of the optimized parameters is derived. These results offer theoretical foundations for optimal design of the solar-air HSHP heating system.
ISSN:2352-4847
2352-4847
DOI:10.1016/j.egyr.2022.05.098