耦合仿真工具和实时数据提高建筑能源性能

Clare L. Cloudt, J. Gómez, T. Nishimoto, L. Shephard
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引用次数: 1

摘要

德克萨斯可持续能源研究所的研究人员正在通过收集实时高保真能源数据来增强建筑性能模拟(BPS)工具的能力,以验证和验证用于预测建筑能耗的模拟能力,并更好地了解建筑居住者对能源性能的影响。两个案例研究,一个住宅新建筑项目和一个现有商业建筑研究,采用了一种系统方法来评估建筑部门,研究住宅建筑、商业建筑、居住者、公用事业和当地人口统计之间的关系。本文评估了效率、节约和需求响应能力在不需要显著牺牲居住者的情况下降低能源消耗方面的重要作用。该研究所将模拟科学(以及它的假设和过程)与技术相结合,使研究人员能够捕获实时能源信息,并确定更多特定空间的行为模式假设,从而为更好地改进持续响应的建筑系统创造机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coupling Simulation Tools and Real-Time Data to Improve Building Energy Performance
Researchers at the Texas Sustainable Energy Research Institute are enhancing the capabilities of building performance simulation (BPS) tools by collecting real-time high fidelity energy data to validate and verify simulation capabilities used to predict building energy consumption and to better understand the impacts of building occupants on energy performance. Two case studies, a residential new construction project and an existing commercial building study, have adopted a systems approach toward evaluating the building sector, looking at the relationship between residential buildings, commercial buildings, their occupants, utilities, and local demographics. This paper assesses the important role of efficiency, conservation, and demand response capabilities in reducing energy consumption without requiring significant occupant sacrifices. The Institute is coupling simulation science (as well as its assumptions and processes), with technology that allows researchers to capture real-time energy information and identify more space-specific behavioral pattern assumptions which create an opportunity for better refinement of continuously-responsive building systems.
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