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Understanding the adoption and usage of data analytics and simulation among building energy management professionals: A nationwide survey

机译：了解建筑能源管理专业人员中数据分析和模拟的采用和用法：全国范围内的调查

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摘要

Improving the energy-efficiency of our building stock is critical to meeting our worldwide sustainability goals. In response to this need, two key tools have emerged to help engineers, building scientists and energy managers understand building energy usage and derive energy-efficiency solutions: data analytics and simulation. While both data analytics and simulation hold significant promise, we lack a clear understanding on the use, barriers and expectations of both in the building energy management decision-making process. This study conducts a nationwide survey of 448 building energy management professionals in the United States to help elucidate: 1) what impacts the adoption of data analytics and simulation among building energy management professionals; 2) in what phases of the building energy management decision-making process are data analytics and simulation currently used; and 3) what are the barriers of use for data analytics and simulation and how can they be improved to better support building energy management decision-making. Overall, results indicate that professional domain plays a large role in associating the uses, barriers and expectations for data analytics and simulation. Results also indicate that data analytics and simulation could be coupled to leverage functionality as they are used in similar phases of the decision-making process. Lastly, results point to opportunities for improving the applicability of data analytics and simulation tools as well as training for both. In the end, this study aims to provide a quantitative basis for improving the efficacy and integration of data analytics and simulation in the building energy management domain.
机译：提高建筑物股票的能源效率对于满足我们全球可持续发展目标至关重要。为响应这种需求，有两种主要工具有助于帮助工程师，建筑科学家和能源经理了解建筑能源使用和推导能效解决方案：数据分析和仿真。虽然数据分析和模拟都具有重要的承诺，但我们对建筑能源管理决策过程中的使用，障碍和期望毫无清楚地了解。本研究在美国对448个建筑能源管理专业人员进行了全国范围的调查，以帮助阐明：1）建筑能源管理专业人员采用数据分析和模拟的影响; 2）在建筑能源管理决策过程的哪个阶段是目前使用的数据分析和仿真; 3）数据分析和模拟的使用障碍以及如何改进，以更好地支持建筑能源管理决策。总体而言，结果表明，专业领域在将数据分析和仿真中关联的用途，障碍和期望方面发挥着重要作用。结果还表明，数据分析和仿真可以耦合以利用函数，因为它们用于决策过程的类似阶段。最后，结果指出了提高数据分析和仿真工具的适用性以及两者培训的机会。最后，本研究旨在为提高建筑能源管理领域的数据分析和仿真的功效和集成提供定量依据。

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