Optimal Performance-Based Building Facility Management

被引:20
作者
Zhang, Xueqing [1 ]
Gao, Hui [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Hong Kong, Peoples R China
关键词
NEURAL DYNAMICS MODEL; GENETIC ALGORITHM; COST OPTIMIZATION; STRUCTURAL OPTIMIZATION; SPACE STRUCTURES; DESIGN;
D O I
10.1111/j.1467-8667.2009.00633.x
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It is a great challenge to efficiently manage and operate the facilities of a set of buildings, which are of different structural types, ages, and locations and serve for different functions required by different users, over a long-term planning horizon using limited resources to achieve multiple and often conflicting objectives. This article proposes an optimization system for the management of facilities in a set of buildings. First, a systemic approach is taken to standardize the various kinds of facilities in the set of buildings into a hierarchical structure, the condition states of these facilities into a state space, and the alternative management actions on different facilities in different condition states into an action set. Second, infinite- and finite-time linear programming models are formulated to maximize the long-term performance of the set of buildings subject to a number of technical and economic constraints. Third, life-cycle management policies are established for both infinite- and finite-time planning horizons. Finally, an illustrative example is provided to discuss the application and usefulness of the proposed optimization system for facility management in a set of buildings.
引用
收藏
页码:269 / 284
页数:16
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