Simulated annealing based optimal chiller loading for saving energy

被引：31

作者：

Chang, Yung-Chung

Chen, Wu-Hsing

Lee, Ching-Yin

Huang, Chung-Neng

机构：

[1] Natl Taipei Univ Technol, Dept Air Conditioning & Refrigerat, Taipei, Taiwan

[2] Natl Taipei Univ Technol, Coll Mech Engn, Taipei, Taiwan

[3] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

[4] Natl Taipei Univ Technol, Dept Vehicle Engn, Taipei, Taiwan

来源：

ENERGY CONVERSION AND MANAGEMENT | 2006年 / 47卷 / 15-16期

关键词：

Lagrangian method; optimal chiller loading; simulated annealing; decoupled system;

D O I：

10.1016/j.enconman.2005.12.022

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This study employs simulated annealing (SA) to solve the optimal chiller loading (OCL) problem. SA overcomes the flaw that the Lagrangian method is not adaptable for solving the OCL problem as the power consumption models or the kW-PLR (kilo Watt-partial load ratio) curves include non-convex functions. This study uses the chilled water supply temperature as the variable to be solved for the decoupled system. After analysis and comparison of the case study, it has been concluded that this method not only solves the problem of the Lagrangian method but also produces results with high accuracy within a rapid time frame. It can be perfectly applied to the operation of air conditioning systems. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：2044 / 2058

页数：15

共 16 条

[1]

American Society of Heating Refrigerating and Air-Conditioning Engineers, 2011, ASHRAE GUID 10 2011

[2]

[Anonymous], J CHEM PHYS

[3]

BITONDO MJ, 1999, CHILLER PLANT CONTRO

[4] Genetic algorithm based optimal chiller loading for energy conservation [J].