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Future energy-optimised buildings - Addressing the impact of climate change on buildings

机译:未来的能量优化建筑 - 解决气候变化对建筑物的影响

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Building energy optimisation is generally performed under present climate conditions with fixed simulation parameters (e.g. internal loads). However, climate change and variations in simulation parameters over the building's life span may impact the optimised design. A key question is whether a particular energy-optimised design under present climate conditions would remain energy-optimised in the future. Accordingly, in this paper, a new simulation-based optimisation method is developed, which uses climate models and Ant Colony Optimisation to compare the energy-optimised designs under present and future climates. To demonstrate its potential, this method is applied to a typical office building in two Australian cities, Brisbane and Canberra.The results show that optimising under future climate conditions can lead to different optimal building designs. For Brisbane, the energy difference between optimising under present and future climate conditions is small, but in Canberra the cooling load is increased by up to 6%. This suggests that optimising the studied office building under present climate conditions is acceptable for Brisbane, while considering future climate may yield some savings in Canberra. Results also show that the energy-optimised building configuration for both future and present climates in Brisbane is less sensitive to changes in the load scenario than in Canberra. (C) 2020 Elsevier B.V. All rights reserved.
机译:建筑能量优化通常在目前的气候条件下进行,固定模拟参数(例如内部负载)。然而,建筑物寿命上的仿真参数的气候变化和变化可能会影响优化的设计。一个关键问题是在目前气候条件下的特定能量优化设计是否将来保持能量优化。因此,在本文中,开发了一种新的基于仿真优化方法,它利用气候模型和蚁群优化来比较当前和未来气候下的能量优化设计。为了证明其潜力,这种方法适用于两个澳大利亚城市,布里斯班和堪培拉的典型办公楼。结果表明,在未来的气候条件下优化可以导致不同的最佳建筑设计。对于布里斯班来说,目前和未来的气候条件下优化之间的能量差异很小,但在堪培拉中,冷却负荷增加高达6%。这表明,对于布里斯班来说,在目前的气候条件下优化研究的办公大楼是可接受的,同时考虑到未来的气候可能会产生一些储蓄堪培拉的储蓄。结果还表明,在布里斯班的未来和当前气候的能量优化的建筑配置对负载方案的变化不太敏感,而不是堪培拉。 (c)2020 Elsevier B.v.保留所有权利。

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