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首页> 外文期刊>Energy and Buildings >Synergizing disparate component-level energy resources into a single whole building tool to support energy conservation action in small commercial buildings
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Synergizing disparate component-level energy resources into a single whole building tool to support energy conservation action in small commercial buildings

机译:将不同级别的组件能源整合为一个整体建筑工具,以支持小型商业建筑的节能行动

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Small commercial buildings represent 94% of U.S. commercial buildings by number and consume approximately 9% of national total primary energy. However, advancements in building efficiency technologies have focused on large commercial building systems, while these buildings also have the financial support and personnel resources to invest in implementing improvements. Pragmatic and easy to use tools to assist small commercial building stakeholders in making informed and effective energy decisions are scarcely available. One approach is to synergize existing research and resources into a single package. This research presents the development of a building energy assessment resource (BEAR) and implementation in thirteen buildings. BEAR performed similarly and favorably in estimating tenants' total energy consumption across all three enterprise types: food service, retail and office. Results reveal a weighted average absolute difference between BEAR and utility bills of 4.7% for electricity and 13.3% for natural gas estimation. Potential factors impacting BEAR's accuracy include assumptions made for modal parameters, e.g. power and time in mode, in addition to fuel flow rate controls in commercial cooking equipment. Discussions on the broader implications of the developed energy resource include applicability across small commercial enterprise sectors and future advancements directed towards policy makers and energy service providers. (C) 2018 Elsevier B.V. All rights reserved.
机译:小型商业建筑的数量占美国商业建筑的94%,消耗的能源约占全国一次能源的9%。但是,建筑节能技术的进步已经集中在大型商业建筑系统上,而这些建筑也有资金支持和人力资源来投资实施改进。几乎没有可用的实用且易于使用的工具来协助小型商业建筑利益相关者做出明智而有效的能源决策。一种方法是将现有研究和资源整合到一个软件包中。这项研究提出了建筑能源评估资源(BEAR)的开发以及在13座建筑中的实施。在估算所有三种企业类型(食品服务,零售和办公室)中的租户总能耗方面,BEAR的表现均相似且良好。结果显示,BEAR和公用事业账单之间的加权平均绝对差额分别为电费的4.7%和天然气估算的13.3%。影响BEAR准确性的潜在因素包括对模态参数的假设,例如模式下的功率和时间,以及商用烹饪设备中的燃料流量控制。对已开发能源的更广泛影响的讨论包括小型商业企业部门的适用性以及面向政策制定者和能源服务提供商的未来发展。 (C)2018 Elsevier B.V.保留所有权利。

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