弹性建筑：面向混合办公优化的、考虑人员灵活性的校园运营校准级街区尺度模拟
Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization
AI总结：
针对后疫情时代混合办公灵活性提升的趋势，本研究用经WiFi数据校准的街区尺度CEA模型模拟真实校园运营场景，量化不同控制策略下人员缺勤的制冷能耗降幅，并探讨相关技术策略。
摘要：
2020年之前，建筑使用者对建成环境的利用方式正缓慢向使用者在办公地点与办公方式上拥有更多选择与灵活性的场景转变。全球COVID-19疫情通过封控措施与混合办公安排迅速加速了这一趋势。由于这类灵活性策略的优势与成本影响，许多使用者与雇主正考虑保留其中部分策略。本文使用街区尺度的City Energy Analyst（CEA，城市能源分析师）模型，对一座真实校园的运营技术与政策相关的多种场景进行模拟，该模型已用从WiFi数据中提取的实测能源与人员占用曲线完成校准。这些场景展示了更快速、有效地调整建筑运营规模，以适配可能固化的灵活性办公策略带来的能源影响。场景结果显示，若采用集中式建筑系统运营，人员缺勤可使空间制冷需求降低4%-12%；但若实施基于人员占用的建筑控制，该降幅可高达21%-68%。本文还讨论了在这一运营模式转变中具有重要意义的技术与策略。
英文摘要：
Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they work. The global COVID-19 pandemic accelerated this phenomenon rapidly through lockdowns and hybrid work arrangements. Many occupants and employers are considering keeping some of these flexibility-based strategies due to their benefits and cost impacts. This paper simulates various scenarios related to the operational technologies and policies of a real-world campus using a district-scale City Energy Analyst (CEA) model that is calibrated with measured energy and occupancy profiles extracted from WiFi data. These scenarios demonstrate the energy impact of ramping building operations up and down more rapidly and effectively to the flex-based work strategies that may solidify. The scenarios show a 4-12% decrease in space cooling demand due to occupant absenteeism if centralized building system operation is in place, but as high as 21-68% if occupancy-driven building controls are implemented. The paper discusses technologies and strategies that are important in this paradigm shift of operations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
