JouleSense: A simulation based platform for proactive feedback on building occupants' energy use

G. Lilis, Shubham Bansal, M. Kayal
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引用次数: 1

Abstract

A significant amount of energy in the buildings can be saved by inducing efficient occupant behavior. The occupant's awareness tools that have been shown to be effective in achieving energy efficiency gains depend on various computational and estimation algorithms. This paper proposes an energy feedback scheme that relies on a model based, building thermal simulation in order to identify the areas for efficiency improvement. By leveraging the specific mathematical formulation of those models and a dedicated open-source solver, improved computational speed, reduced cost and enhanced interoperability is obtained. This combined with the integration into a building management system (BMS), permits real-time sensing and feedback. Unlike similar studies, this work's outcome allows the creation of the energy awareness tools that rely solely on validated thermal model simulation, thus increasing their accuracy and potential in the future smart buildings.
JouleSense:一个基于模拟的平台,用于主动反馈建筑居住者的能源使用情况
通过诱导高效的居住者行为,可以节省建筑物中的大量能源。已被证明在实现能源效率增益方面有效的乘员意识工具依赖于各种计算和估计算法。本文提出了一种能量反馈方案,该方案依赖于基于模型的建筑热模拟,以确定效率提高的领域。通过利用这些模型的特定数学公式和专用的开源求解器,提高了计算速度,降低了成本,增强了互操作性。这与建筑管理系统(BMS)的集成相结合,允许实时传感和反馈。与类似的研究不同,这项工作的结果允许创建仅依赖于经过验证的热模型模拟的能源意识工具,从而提高它们在未来智能建筑中的准确性和潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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