Renewable supply systems, such as rainwater harvesting and ground source heat pumps, have the potential to improve the sustainability and resilience of residential areas. However, their feasibility partly depends on the dimensions and plot areas of the dwellings, and there has been a lack of a suitable method of modelling these for future urban development. This paper therefore calibrates and validates a method of modelling how the plot areas and footprints of dwellings would vary in size. Its inputs are the total dwellings and their average density for each area type within a district. It could thereby complete a chain of urban modelling from regional to local scale for testing spatial planning scenarios. The results show that the calibration of the model is transferable between spatial scales and UK regions, and the results are validated against detailed GIS data. It is then developed into a novel parametric model to estimate how built form will affect the future potential of renewable supply systems, and this is demonstrated using rainwater harvesting as an example. It provides estimates of water-savings at district scale that are more reliable than the usual method of using discrete average dimensions per dwelling type.

雨水收集和地源热泵等可再生供应系统具有改善居住区可持续性和复原力的潜力。但是，它们的可行性部分取决于房屋的尺寸和占地面积，并且缺乏为未来的城市发展建模的合适方法。因此，本文校准并验证了一种建模方法，该方法用于建模样地面积和住宅占地面积如何变化。它的输入是一个地区中每种区域类型的总住所及其平均密度。因此，它可以完成从区域到本地规模的城市建模链，以测试空间规划方案。结果表明，该模型的校准可在空间尺度和英国区域之间转移，并根据详细的GIS数据验证了结果。然后将其发展成一个新颖的参数模型，以估计建筑形式将如何影响可再生能源供应系统的未来潜力，并以雨水收集为例对此进行了证明。它提供了在区域范围内节水的估算值，该估算值比使用每种住宅类型的离散平均尺寸的常用方法更加可靠。