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Building Climate Energy Management in Smart Thermal Grids via Aquifer Thermal Energy Storage Systems

机译:通过含水层热储能系统在智能热网格中建立气候能源管理

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This paper proposes a building energy management framework, described by mixed logical dynamical systems due to operating constraints and logic rules, together with an aquifer thermal energy storage (ATES) model. We develop a deterministic model predictive control strategy to meet building thermal energy demand. At each sampling a mixed integer quadratic optimization problem is formulated. We then provide a simulation study using an agent-based model and a geohydrological simulation environment (MODFLOW) to illustrate the performance of the framework.
机译:本文提出了一种建筑能源管理框架,由混合逻辑动力系统描述,由于操作约束和逻辑规则以及含水层热能存储(ATES)模型。我们开发了确定性模型预测控制策略,以满足建筑物热能需求。在每个采样时,配制混合整数二次优化问题。然后,我们使用基于代理的模型和地理水上模拟环境(Modflow)提供模拟研究,以说明框架的性能。

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