A New Dashboard Tool to Enhance Data Processing and Energy Efficiency Analysis in Modern Buildings

Abigail Sharp, D. Ojeda, Victoria Nilsen
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Abstract

In many buildings, energy tracking methods provide inadequate information regarding energy consumption, impeding the identification of economic and environmental waste in building operations and maintenance. M.C. Dean, an electrical design-build firm, recognized the importance of effective energy tracking methods in the large, complex buildings that it manages. Energy guidelines, such as Leadership in Energy and Environmental Design (LEED), are implemented to increase energy efficiency. Acquiring a LEED certification provides building owners with incentives, but it requires an in-depth documentation and understanding of energy usage prior to certification. Previously, M.C. Dean manually calculated average energy usage and created control charts that summarized annual statistics of their buildings. This method is sufficient for a single site but is an inefficient practice when applied manually across multiple sites. This project performed a requirements elicitation to determine the critical criteria for analyzing energy usage for M.C. Dean’s buildings. The results were used to develop a standardized Excel-based dashboard tool that instructs the user on importing and modifying raw energy data. Once the data is imported, the dashboard tool automatically tests for normality via probability plots and generates 3-sigma control charts. By automating this process, the dashboard tool enabled the user to gain detailed understanding of the energy usage of their site. Areas of potential improvement were identified through the implementation of three additional methods: analytic hierarchy process, cost simulation, and cost-benefit analysis. The manager’s preferences and energy guidelines generated a ranking of building usage factors, which can guide decisions on repurposing certain building elements. A Monte Carlo simulation was performed using parametric distribution analysis to predict future costs. Additionally, the dashboard increases awareness of energy usage by linking energy performance to the LEED Operations and Maintenance version 4.1 guidelines to estimate the current certification level and highlight areas for improvement. This research produced an energy performance tool that can be standardized to other complex buildings. It provides efficient energy tracking using standardized methods, allowing building owners to objectively assess the potential adoption of economical and sustainable practices.
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一个新的仪表板工具,以加强现代建筑的数据处理和能源效率分析
在许多建筑物中,能源跟踪方法提供的关于能源消耗的信息不足,妨碍了确定建筑物操作和维护中的经济和环境浪费。电气设计建造公司M.C. Dean认识到,在其管理的大型复杂建筑中,有效的能源跟踪方法非常重要。能源指引,例如能源与环境设计领导(LEED),已被实施以提高能源效率。获得LEED认证为建筑业主提供了激励,但在认证之前需要深入的文件和对能源使用的了解。以前,M.C. Dean手动计算平均能源使用量,并创建控制图,汇总建筑物的年度统计数据。这种方法对于单个站点来说是足够的,但是在跨多个站点手动应用时是一种低效的做法。该项目进行了需求启发,以确定分析M.C. Dean建筑能源使用的关键标准。这些结果被用于开发一个标准化的基于excel的仪表板工具,该工具指导用户导入和修改原始能源数据。一旦导入数据,仪表板工具就会通过概率图自动测试正态性,并生成3-sigma控制图。通过自动化这一过程,仪表板工具使用户能够详细了解其站点的能源使用情况。通过另外三种方法的实施,确定了潜在改进的领域:层次分析法、成本模拟和成本效益分析。管理者的偏好和能源指南产生了建筑使用因素的排名,这可以指导重新利用某些建筑元素的决策。使用参数分布分析进行蒙特卡罗模拟以预测未来成本。此外,仪表板通过将能源绩效与LEED运营和维护4.1版指南联系起来,以估计当前的认证水平并突出需要改进的领域,从而提高了对能源使用的认识。这项研究产生了一种能源性能工具,可以标准化到其他复杂的建筑。它使用标准化的方法提供高效的能源跟踪,使建筑业主能够客观地评估采用经济和可持续实践的可能性。
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