Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II
- 论文类型:
- 文章
- 第一作者:
- 谢毅伟
- 通讯作者:
- 胡平放
- 合写作者:
- 朱娜,雷飞,邢路,徐菱虹
- 发表刊物:
- Renewable Energy
- 收录刊物:
- SCI
- 所属单位:
- 华中科技大学
- 刊物所在地:
- Cyprus
- 学科门类:
- 工学
- 一级学科:
- 土木工程
- 项目来源:
- National Natural Science Foundation of China (NSFC)
- 文献类型:
- J
- 卷号:
- 147
- 页面范围:
- 249-264
- ISSN号:
- 0960-1481
- 关键字:
- Ground source heat pump;Radiant ceiling;RSM;NSGA-II;Collaborative optimization
- DOI码:
- 10.1016/j.renene.2019.08.109
- 发表时间:
- 2020-01-06
- 影响因子:
- 8.634
- 摘要:
- A parametric collaborative optimization method for ground source heat pump-radiant ceiling (GSHP-RC) system is proposed to find the optimum setpoint combinations by maximizing system performance and reducing operating costs while ensuring indoor thermal comfort. The method integrates response surface method (RSM) and fast non-dominated sorting genetic algorithm (NSGA-II) to search the nonlinearity relationship between the controllable factors and the response factors and execute multi-objective optimization (MOO) progressively. A GSHP-RC system in an office building is investigated based on TRNSYS. Three controllable factors, the water supply temperature of radiant ceiling, the indoor set temperature and the water supply temperature of the heat pump, were used to analyze the influence mechanism on the system. The system performance, thermal comfort and economy are evaluated by seasonal performance factor (SPF), predicted mean vote (PMV) and the operating cost (OC). Two optimal cases were determined with the SPF of 3.741 and 3.734, the OC of CNY 23525 and 24613, and the PMV of 0.225 and -0.223 respectively. The optimization can realize 17.3% and 13.0% of the operating cost saving for the optimal cases respectively with the significant improvement in SPF under the premise of indoor thermal comfort compared with the reference case with conventional parameters. (C) 2019 Elsevier Ltd. All rights reserved.