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.

通常在固定的模拟参数（例如内部负载）的当前气候条件下执行建筑能耗优化。但是，在建筑物的整个使用寿命中，气候变化和模拟参数的变化都可能影响优化设计。一个关键问题是，在当前的气候条件下，特定的能源优化设计在将来是否仍会保持能源优化。因此，在本文中，开发了一种新的基于仿真的优化方法，该方法使用气候模型和蚁群优化技术来比较当前和未来气候下的能源优化设计。为了证明其潜力，此方法应用于澳大利亚两个城市布里斯班和堪培拉的一栋典型办公楼。

结果表明，在未来的气候条件下进行优化可以导致不同的最佳建筑设计。对于布里斯班而言，在当前和将来的气候条件下进行优化之间的能量差很小，但在堪培拉，制冷负荷增加了6％。这表明在当前气候条件下优化研究的办公楼对于布里斯班是可以接受的，而考虑到未来的气候可能会在堪培拉节省一些费用。结果还表明，与堪培拉相比，布里斯班针对未来和当前气候的能源优化建筑结构对负荷情况的变化不那么敏感。