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Modular approach to multi-objective environmental optimization of buildings

机译:建筑物多目标环境优化的模块化方法

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The application of heuristic algorithms with life cycle assessment (LCA) is a promising approach to efficiently optimize the building and minimize the environmental impact even in a very large design space. In this paper, a modular parametric optimization framework combining advanced building modelling, LCA, energy calculation and single- and multi-objective environmental optimization was developed and applied to a multi-apartment house in Hungary. The variables comprise geometry, envelope, fixtures, as well as the heating energy source. The objective is the life cycle environmental impact expressed in terms of the six most common LCA indicators. The results show that a relatively compact shape, large windows to south equipped with shading and very high levels of insulation are optimal from an environmental perspective. It was also proven that focusing only on the embodied or operational impact leads to a suboptimal solution, and the choice of the energy source for the operation of the building has a significant influence on the achievable optimum. Through the optimization, significant environmental savings of 60-80% were achieved compared to the initial design options showing the potential for the application of such methods in architectural design.
机译:具有生命周期评估(LCA)的启发式算法的应用是一种有前途的方法,即使在很大的设计空间中,也可以有效地优化建筑物并将对环境的影响最小化。在本文中,开发了一种将高级建筑建模,LCA,能耗计算以及单目标和多目标环境优化相结合的模块化参数优化框架,并将其应用于匈牙利的多栋房屋。变量包括几何形状,包络线,固定装置以及加热能源。目的是用六个最常见的LCA指标表示生命周期对环境的影响。结果表明,从环境角度来看,相对紧凑的形状,向南的大窗户,带有遮阳板和很高的隔热等级是最佳的。还证明了,仅关注体现的或运行的影响会导致次优解决方案,而建筑物运行所用能源的选择对可达到的最佳效果有重大影响。通过优化,与最初的设计方案相比,可节省60-80%的环境,这表明此类方法在建筑设计中的应用潜力。

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