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Human Factors of High Performance Multifamily Housing

机译:高性能多户住宅的人为因素

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摘要

Buildings are complex systems, yet architecture, engineering, and construction (AFC) professionals often perform their work without considering the human factors that affect the operational performance of the building system. The AEC industry currently employs a linear design and delivery approach, lacking verified performance standards and real-time data feedback once a certificate of occupancy is issued. We rely on static monthly utility bills that lag and mask occupant behavior. We rely on lawsuits and anecdotal business development trends as our feedback mechanisms for the evaluation of a complex, system-based product. The omission of human factors in the design and delivery of high performance building systems creates risk for the AEC industry and has contributed to projects missing their performance targets. Neglecting an iterative, human-centered design and delivery approach inhibits our ability to close the industry's performance gap and relinquish its position as the top energy consuming sector. To close this gap, a multi-methods research design is employed to answer applied research questions that will serve as a vehicle to identify and jointly optimize human-building relationships. Specifically, this study reports findings from a multi-year study of the construction, and operations of 15 high performance multifamily housing projects in Virginia. Data include 1) originally simulated versus measured energy use data, 2) construction technologies and delivery methods, 3) commissioning procedures, and 4) occupant reported factors including thermostat set points, thermal comfort, appliance use, and user satisfaction with high performance housing. Preliminary findings suggest the use of Human Factors methods can improve our understanding of the construction, operations, and maintenance outcomes of high performance multifamily housing. Results from this work can be shared with AFC professionals to close the post-occupancy performance gap in high performance systems.
机译:建筑物是复杂的系统,但是建筑,工程和建筑(AFC)专业人员通常在执行工作时没有考虑影响建筑物系统运行性能的人为因素。 AEC行业目前采用线性设计和交付方式,一旦签发了居住证明,便缺乏经过验证的性能标准和实时数据反馈。我们依靠滞后和掩盖乘员行为的静态每月水电费账单。我们依靠诉讼和轶事业务发展趋势作为评估复杂的,基于系统的产品的反馈机制。高性能建筑系统的设计和交付中人为因素的遗漏给AEC行业带来了风险,并导致项目无法达到其绩效目标。忽略以人为中心的迭代设计和交付方法会阻碍我们缩小行业绩效差距并放弃其作为最大能耗行业的地位。为了弥合这一差距,采用了一种多方法研究设计来回答应用研究问题,这些问题将成为确定和共同优化人与人之间关系的一种手段。具体来说,本研究报告了一项对弗吉尼亚州15个高性能多户住宅项目的建设和运营进行的多年研究结果。数据包括1)最初模拟的能源使用量数据与测得的能源使用数据,2)施工技术和交付方法,3)调试程序以及4)乘员报告的因素,包括恒温器设定点,热舒适性,设备使用以及用户对高性能住房的满意度。初步发现表明,人为因素方法的使用可以增进我们对高性能多户住房的建造,运营和维护成果的了解。这项工作的结果可以与AFC专业人员共享,以消除高性能系统中的占用后性能差距。

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  • 来源
    《ASHRAE Transactions》 |2019年第1期|273-280|共8页
  • 作者单位

    Dept. of Industrial & Systems Engineering;

    Department of Building Construction;

    Department of Building Construction;

    Dept. of Industrial & Systems Engineering;

    Dept. of Civil & Environmental Engineer at Virginia Polytechnic Institute and State University, Blacksburg, VA;

    Dept. of Civil & Environmental Engineering at Michigan State University, East Lansing, MI;

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  • 正文语种 eng
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