Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment
Simulation-Based Multi-Objective Optimization of institutional building renovation considering energy consumption, Life-Cycle Cost and Life-Cycle Assessment
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DOI：
10.1016/j.jobe.2018.11.006
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发表时间：
2019
影响因子：
6.4
通讯作者：
S. Sharif;A. Hammad
中科院分区：
文献类型：
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作者：
S. Sharif;A. Hammad
建筑物消耗了大量的能源，对环境造成了相当大的负面影响。因此，通过改进新建建筑的设计或对现有建筑进行改造来降低他们的能源消耗是至关重要的。建筑围护结构的热量损失或增加会影响能源使用和室内环境。采暖、通风和空调(HVAC)和照明系统分别占办公建筑总能耗的33%和25%。然而，改造建筑围护结构和耗能系统以减少能源损失通常是昂贵的，而且回收期很长。尽管优化能源消耗的研究做出了重大贡献，但利用生命周期评估(LCA)对现有建筑进行翻新以将其生命周期成本(LCC)和环境影响降至最低的研究有限。本文的目的是在考虑能耗和生命周期评价的基础上，找到机构建筑改造的最优方案，同时为有限的改造预算提供一种有效的方法。在建筑改造策略中可以比较不同的场景，以提高能效。每个方案都考虑了几种方法，包括改善建筑围护结构、暖通空调和照明系统。然而，其中一些情况可能是不一致的，应该消除。这项研究的另一个考虑因素是装修场景的适当耦合。例如，在翻新建筑围护结构时，必须重新设计暖通空调系统，以满足减少的能源需求并避免不良的副作用。遗传算法(GA)与能源模拟工具相结合，用于同时最小化建筑的能耗、LCC和对环境的影响。通过实例分析，验证了该方法的可行性。
Buildings are responsible for a significant amount of energy consumption resulting in a considerable negative environmental impact. Therefore, it is essential to decrease their energy consumption by improving the design of new buildings or renovating existing buildings. Heat losses or gains through building envelopes affect the energy use and the indoor condition. Heating, Ventilation, and Air Conditioning (HVAC) and lighting systems are responsible for 33% and 25% of the total energy consumption in office buildings, respectively. However, renovating building envelopes and energy consuming systems to lessen energy losses is usually expensive and has a long payback period. Despite the significant contribution of research on optimizing energy consumption, there is limited research focusing on the renovation of existing buildings to minimize their Life Cycle Cost (LCC) and environmental impact using Life Cycle Assessment (LCA). This paper aims to find the optimal scenario for the renovation of institutional buildings considering energy consumption and LCA while providing an efficient method to deal with the limited renovation budget. Different scenarios can be compared in a building renovation strategy to improve energy efficiency. Each scenario considers several methods including the improvement of the building envelopes, HVAC and lighting systems. However, some of these scenarios could be inconsistent and should be eliminated. Another consideration in this research is the appropriate coupling of renovation scenarios. For example, the HVAC system must be redesigned when renovating the building envelope to account for the reduced energy demand and to avoid undesirable side effects. A genetic algorithm (GA), coupled with an energy simulation tool, is used for simultaneously minimizing the energy consumption, LCC, and environmental impact of a building. A case study is developed to demonstrate the feasibility of the proposed method.