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Multi-criterion optimization of building envelope in the function of indoor illumination quality towards overall energy performance improvement

机译:室内照明质量功能中建筑围护结构的多准则优化,以提高整体能源性能

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This paper elaborates the formulation and application of an integral methodology for overall energy performance improvement of office buildings and demonstrates its application. The developed multi objective methodology is demonstrated on a reference office building located in a temperate climate zone with high annual temperature variations. The idea is to formulate a research based proposition in building science with a formulation of a general/integral methodology which could be applied widely in energy performance refurbishment of existing office buildings and help architects and engineers in the early-design stages of new projects. The goal was to formulate an optimized building envelope model using multi-criterion optimization methodology in order to determine efficient window to wall ratio (WWR) and window geometry (WG) in the function of indoor illumination quality, followed by the assessment of glazing parameters influence on the annual energy demand. The integral methodology for overall energy performance improvement of office buildings utilizes multi-criterion optimization method and highly detailed Building Information Modeling (BIM) programs and dynamic energy simulation engines. The developed coupled-integral methodology links together both building envelope construction optimization and user comfort. The methodology is both flexible and adaptable for application in various climatic conditions and for different construction types. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文阐述了一种整体方法论的提出和应用,以改善办公楼的整体能源性能,并演示了其应用。发达的多目标方法论在年温变化较大的温带气候区的参考办公楼中得到了证明。这个想法是用通用/整体方法来制定建筑科学中的研究命题,该方法可以广泛应用于现有办公楼的能源性能翻新中,并在新项目的早期设计阶段帮助建筑师和工程师。目的是使用多准则优化方法来制定优化的建筑围护结构模型,以确定在室内照明质量函数中有效的窗墙比(WWR)和窗几何形状(WG),然后评估玻璃参数的影响每年的能源需求。办公楼整体能源性能改善的整体方法论运用了多准则优化方法,高度详细的建筑信息模型(BIM)程序和动态能源模拟引擎。发达的整体耦合方法将建筑围护结构的优化和用户的舒适度联系在一起。该方法既灵活又适用于各种气候条件和不同建筑类型。 (C)2016 Elsevier Ltd.保留所有权利。

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