An uncertainty-based design optimization method for district cooling systems

被引：56

作者：

Gang, Wenjie ^{[1
]}

Augenbroe, Godfried ^{[2
]}

Wang, Shengwei ^{[1
]}

Fan, Cheng ^{[1
]}

Xiao, Fu ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Bldg Serv Engn, Kowloon, Hong Kong, Peoples R China

[2] Georgia Inst Technol, Coll Architecture, Atlanta, GA 30332 USA

来源：

ENERGY | 2016年 / 102卷

关键词：

Uncertainty quantification; Uncertainty-based design method; District cooling system; Sensitivity analysis; Cooling load; ENERGY-CONSUMPTION; OCCUPANT BEHAVIOR; DECISION-MAKING; LOAD; TECHNOLOGY; SIMULATION; OPERATION;

D O I：

10.1016/j.energy.2016.02.107

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Uncertainties exist widely at the planning and design stages of district cooling systems, which have significant impacts on the design optimization. This paper therefore proposes a design method for district cooling systems by quantifying the uncertainties, which is so-called uncertainty-based design optimization method. Uncertainties in the outdoor weather, building design/construction and indoor conditions are considered. The application of the uncertainty-based design optimization method is examined in several aspects: the performance assessment, system sizing, configuration selection and technology integration. With the performance distribution at different risk levels, the design of district cooling systems can be determined by the stakeholders based on the compromise between quantified risk and benefit. Sensitivity analysis is conducted to identify influential variables with uncertainties for the cooling loads of district cooling systems. Results show that the uncertainties in the indoor condition are the most important and the uncertainties in building design/construction have the least impact. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：516 / 527

页数：12

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