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Modeling and Simulation of Individual User Behavior for Building Performance Predictions

机译:建筑性能预测中个人用户行为的建模和仿真

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User behavior is a key to the correct prediction ofrnbuilding performance. Performance is meant here not only inrnrelation to energy consumption, but more importantly to userrnsatisfaction and, in commercial buildings, job performance.rnThe contributions of this paper are static and dynamic modelsrnof individual users and user activities in an office environmentrnin relation to building control systems. The models arernbased on a well structured general model of five different domainsrnof building entities, including user activities. Modelsrnfor specific simulation projects are refinements of this generalrnmodel. It is shown how multi-agent based simulations canrnbe automatically derived from such models. A case study ofrnan university office with irregular occupancy is introduced asrnan example.
机译:用户行为是正确预测建筑性能的关键。性能在这里不仅意味着与能耗有关,而且更重要的是与用户满意度以及在商业建筑中的工作绩效息息相关。本文的贡献在于静态和动态模型,涉及到个人用户和办公环境中与建筑物控制系统有关的用户活动。这些模型基于五个不同领域的建筑实体(包括用户活动)的结构良好的通用模型。用于特定仿真项目的模型是对该通用模型的改进。它显示了如何从此类模型自动推导基于多主体的模拟。以南南大学办公室不定期有人居住为例。

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