FW-HTF-P: WORK WELL: Understanding the interrelationships between humans and technology to improve the quality of work life in smart buildings

FW-HTF-P：好好工作：了解人类与技术之间的相互关系，以提高智能建筑中的工作生活质量

• 批准号: 2026594
• 负责人: David Wendell
• 金额: $ 14.97万
• 依托单位: University of Cincinnati Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2026594&HistoricalAwards=false
• 关键词: FW; HTF; WORK; WELL; Understanding

Humans construct buildings primarily to protect themselves from environmental forces. Many people spend 1/3 of the day for 5 days a week at work in buildings and these buildings have become increasingly more sophisticated and technologically advanced in providing optimized and controlled indoor environments. While these “Smart Buildings” may be energy efficient, little is known about the impact such buildings have on the physical, mental, emotional and spiritual health of the individuals who work in highly automated and technically-controlled environments. This project assembles a multidisciplinary team of researchers that converges disparate research in a single, comprehensive strategy to correlate building performance measured across multiple variables, such as energy efficiency, maintenance, noise levels, lighting types and levels, air quality, temperature, humidity and air movement against the health, well-being, and workplace satisfaction of the individuals in those buildings. The outcome of the project will be new, comprehensive lines of inquiry that holistically explore the interactions between these various aspects in order to improve the design and functionality of buildings in service to the health and wellbeing of the people who occupy them.The research will focus on workplaces in high-performing buildings that have “tight” building enclosures and highly automated heating, air conditioning, and lighting systems. The quantifiable performance of these offices and of the buildings as a whole, will be obtained from the energy metering of the buildings to determine the Energy Use Intensity (EUI) for comparison across structures. Detailed analysis of the building envelopes will yield a common method to compare the efficiency of building construction for each office under study. To obtain more detailed and specific local data, sensors will be placed within offices and various locations in each of the subject buildings to systematically capture noise, air quality, temperature, humidity, light, air velocity and airborne compounds. Environmental data will be captured by accessing regional weather records and sensors installed outside each of the buildings. Directly measurable physical health data from individual occupants of the buildings will be obtained through wearable biosensors, while qualitative information about workplace satisfaction will be obtained through a series of post-occupancy-evaluations. The systematic collection and analysis of data across multiple factors will reveal unforeseen interactions or unintended consequences between building performance and occupant well-being and will lead to new findings and proposed interventions to improve both the performance of buildings and the satisfaction of the people working in these high-performing environments.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

人类建造建筑物主要是为了保护自己免受环境力量的影响。许多人每周有5天，每天有1/3的时间在大楼里工作，这些大楼在提供优化和控制的室内环境方面变得越来越复杂，技术也越来越先进。虽然这些“智能建筑”可能是节能的，但人们对这些建筑对在高度自动化和技术控制的环境中工作的人的身体、心理、情感和精神健康的影响知之甚少。该项目汇集了一个多学科的研究团队，将不同的研究集中在一个单一的综合策略中，通过多个变量将建筑性能测量相关联，例如能源效率、维护、噪音水平、照明类型和水平、空气质量、温度、湿度和空气流动与这些建筑物中个人的健康、福祉和工作场所满意度。该项目的结果将是新的，全面的调查线，全面探索这些不同方面之间的相互作用，以改善建筑的设计和功能，为居住者的健康和福祉服务。这项研究将集中在高性能建筑的工作场所，这些建筑有“严密”的建筑外壳和高度自动化的供暖、空调和照明系统。这些办公室和整个建筑物的可量化性能将从建筑物的能源计量中获得，以确定能源使用强度（EUI），以便在不同结构之间进行比较。对建筑围护结构的详细分析将产生一种通用的方法来比较所研究的每个办公室的建筑效率。为了获得更详细和具体的当地数据，传感器将被放置在办公室和每个主题建筑物的不同位置，以系统地捕获噪音，空气质量，温度，湿度，光线，空气速度和空气中的化合物。环境数据将通过访问区域天气记录和安装在每栋建筑外的传感器来获取。将通过可穿戴生物传感器从建筑物的个人居住者那里获得直接可测量的身体健康数据，而关于工作场所满意度的定性信息将通过一系列入住后评估获得。系统地收集和分析多个因素的数据将揭示建筑性能和居住者福祉之间不可预见的相互作用或意想不到的后果，并将导致新的发现和建议的干预措施，以提高建筑性能和在这些高绩效环境中工作的人的满意度。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。