.png){kind=icon}
.png){kind=icon}
Return
A new approach for optimal chiller loading using an improved imperialist competitive algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.enbuild.2023.112835.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A new optimization algorithm based on an improved imperialist competitive algorithm (ICA-DE) is pro-posed to reduce the energy consumption of a multi-chiller system. The assimilation process is very important in ICA. Colonies of empires move randomly toward imperialists during the assimilation pro -cess in ICA, which decreases population diversity and can lead to premature convergence. Therefore, to create more new locations for colonies and increase population diversity, the idea of differential mutation proposed by differential evolution (DE) was applied to ICA. The novel ICA-DE method was used to dis-tribute the partial load rate (PLR) of chillers to solve the optimal chiller loading (OCL) problem, with the goal of minimizing the energy consumption of multiple chillers. The established model was experi-mentally verified in an actual multi-chiller system in a building, and the results showed that the ICA-DE method can achieve good results. Finally, the ICA-DE method was compared with GA, DE, PSO, DCSA and ICA in two different test systems. The results show that the ICA-DE method has superior performance.(c) 2023 Elsevier B.V. All rights reserved.
Keywords:
Reducing energy consumption
Imperialist competition algorithm
Optimal chiller loading
Differential evolution
Journal
IF:
7.1
Papers:
1.5W
Citations:
6.8W