Energy-cost analysis of HVAC system for office buildings: Development of a multiple prediction methodology for HVAC system cost estimation

被引:29
|
作者
Cho, Jinkyun [1 ]
Kim, Yundeok [2 ]
Koo, Junemo [3 ]
Park, Woopyeng [4 ]
机构
[1] Korea Conform Labs, Energy & Environm Business Div, Jincheon 27872, South Korea
[2] Woosong Univ, Dept Architectural Engn, Daejeon 300718, South Korea
[3] Kyung Hee Univ, Dept Mech Engn, Yongin 446701, South Korea
[4] KT Korea Telecom Estate, Seoul 135737, South Korea
关键词
Energy efficient buildings; HVAC system; Energy-cost analysis; Investment cost; Multiple prediction methodology; Decision tree analysis; Multi-objective optimization; DESIGN; OPTIMIZATION;
D O I
10.1016/j.enbuild.2018.05.019
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Buildings targeted at high energy performance levels have been proven to be technically feasible, but are relatively expensive. This research examined the cost relationship between sub-systems of HVAC (Heating, Ventilation and Air Conditioning) for energy efficient buildings. Because of inadequate information to estimate investment cost of HVAC systems in the early stage of building projects, this study was carried out the cost analysis method in the process of formulating predictive models for cost of HVAC systems. The relationship between the variables in the cost estimation was examined with the use of descriptive statistics and multiple correlation analysis. One of the major findings of the research was that the cost of HVAC systems of any given office building project can be assessed from the same building conditions with high confidence limits using multiple matrix models of HVAC sub-systems and this provided a basis for developing 960 cost models. There is potentially large variability in the range -26-460% with an average at 179% in investment costs for the sub-systems. The cost of a HVAC system has a range of about 125-335 unit rate, which represents a variety of system combinations. Decision tree analysis of energy performance and investment cost of HVAC systems were obtained, yielding information on optimal combination HVAC sets in the office buildings. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:562 / 576
页数:15
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