Assessing the long-term energy performance of automated interior insulating window shades in a high-rise commercial building

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS Applied Energy Pub Date : 2024-11-15 DOI:10.1016/j.apenergy.2024.124797
Jongki Lee, Akram Syed Ali, Afshin Farmarzi, Urwa Irfan, Christopher Riley, Brent Stephens, Mohammad Heidarinejad
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Abstract

This study evaluated the HVAC energy end-use performance of 39 motorized insulating interior shades installed on the 37th floor of a high-rise commercial building in Chicago, Illinois, USA operating under realistic conditions. The study lasted for 44 weeks (spanning all four seasons). Three motorized control strategies of On-schedule, Dynamic (‘smart’), and Manual, as well as one typical mini-blind Baseline control strategy, were developed and implemented to assess energy performance of the interior automated shades. The three controlled motorized control strategies are compared to the Baseline strategy as a reference. The results showed that the motorized interior insulating shades reduced daily energy consumption by up to 20.5 % with the automated control strategy, which includes the Dynamic and On-schedule strategies, and up to 11.8 % without the control, which includes only the Manual control strategy. A weather normalized energy consumption analysis, which translates the actual energy consumption values to typical year energy consumption values, indicates that the automated shades are expected to save 20–35 % in energy consumption compared to the Baseline strategy. The calculated payback period for a defined “best practice” scenario is 21.9 years considering an initial electricity rate of $0.0897/kWh in 2021. Accounting for a future utility incentive program that provides a one-time rebate of $0.25/kWh savings during the installation, the simple payback period for the “best practice” scenario was estimated to be 12.3 years with the 2021 electricity rate and 4.4 years with assumptions for future electricity rates. Results suggest that the shades are a promising energy efficiency measure, especially for buildings for which building envelope retrofits or new construction are cost prohibitive or infeasible.
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评估高层商业建筑中自动室内隔热窗帘的长期节能性能
本研究评估了安装在美国伊利诺斯州芝加哥市一栋高层商业建筑 37 层的 39 个电动室内隔热遮阳帘在实际条件下的暖通空调能源终端使用性能。研究持续了 44 周(跨越了所有四个季节)。为了评估室内自动遮阳帘的能效,研究人员开发并实施了三种电动控制策略(按计划、动态("智能")和手动),以及一种典型的微型盲区基线控制策略。将三种受控电动控制策略与基准控制策略进行了比较。结果表明,电动室内隔热遮阳帘在采用自动控制策略(包括动态和按计划控制策略)的情况下,日能耗最多可降低 20.5%,而在不采用自动控制策略(仅包括手动控制策略)的情况下,日能耗最多可降低 11.8%。天气归一化能耗分析(将实际能耗值转换为典型年能耗值)表明,与基线策略相比,自动遮阳帘预计可节省 20%-35% 的能耗。考虑到 2021 年的初始电费为 0.0897 美元/千瓦时,计算得出的 "最佳实践 "方案的投资回收期为 21.9 年。考虑到未来的公用事业激励计划将在安装过程中提供每千瓦时 0.25 美元的一次性退款,根据 2021 年的电价,"最佳实践 "方案的简单投资回收期估计为 12.3 年,根据对未来电价的假设,则为 4.4 年。结果表明,遮阳帘是一种很有前景的节能措施,特别是对于建筑围护结构改造或新建工程成本过高或不可行的建筑。
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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