Residential demand from real residences can be resource intensive to collect. There is need to generate synthetic residential load in energy research, and new approaches are welcome. Most of the simulation models of synthetic residential load that output realistic loads are tightly coupled to historic correlations. This paper presents a high-resolution simulation model that generates a residential appliance load using the tools of System Dynamics via a bottom-up approach. In addition to being realistic, the model aims to minimise historic coupling. Whilst the intermediary outputs of the modelling process are subjected to systematic scrutiny, the final output is validated by comparing statistical characteristics of the model’s output to a validated model and data from real residences. The aims of the model were sufficiently met, and the modelling approach shows potential to simplify; by driving the model on average frequency of appliance use instead of probability distributions of human activities. Other outputs from the model, specifically distribution of appliances’ activation and operation, as well as complexity are discussed. Some benefits of the model are also discussed especially with regard to cost of modelling, interpretability of model and potential for transdisciplinary research. This study represents the first attempt to develop a bottom-up simulation model of residential load based on a System Dynamics approach.

来自真实住宅的住宅需求可能是资源密集型的收集。在能源研究中需要产生合成住宅负荷，并且欢迎新方法。大多数输出​​实际负载的合成住宅负载模拟模型都与历史相关性紧密耦合。本文提出了一种高分辨率仿真模型，该模型使用 System Dynamics 工具通过自下而上的方法生成住宅电器负载。除了现实之外，该模型还旨在最小化历史耦合。虽然建模过程的中间输出受到系统审查，但最终输出通过将模型输出的统计特征与经过验证的模型和来自真实住宅的数据进行比较来验证。充分满足了模型的目标，建模方法显示出简化的潜力；通过以电器使用的平均频率而不是人类活动的概率分布来驱动模型。讨论了模型的其他输出，特别是设备激活和操作的分布，以及复杂性。还讨论了模型的一些好处，特别是在建模成本、模型的可解释性和跨学科研究的潜力方面。这项研究代表了基于系统动力学方法开发自下而上的住宅负荷仿真模型的首次尝试。以及复杂性进行了讨论。还讨论了模型的一些好处，特别是在建模成本、模型的可解释性和跨学科研究的潜力方面。这项研究代表了基于系统动力学方法开发自下而上的住宅负荷仿真模型的首次尝试。以及复杂性进行了讨论。还讨论了模型的一些好处，特别是在建模成本、模型的可解释性和跨学科研究的潜力方面。这项研究代表了基于系统动力学方法开发自下而上的住宅负荷仿真模型的首次尝试。