Better sustainability assessment of green buildings with high-frequency data
Better sustainability assessment of green buildings with high-frequency data
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DOI：
10.1038/s41893-018-0169-y
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发表时间：
2018-11-01
影响因子：
27.6
通讯作者：
Kahn, Matthew E.
中科院分区：
文献类型：
--
作者：
Qiu, Yueming;Kahn, Matthew E.
通过绿色建筑认证减少电力消耗是实现环境可持续性的关键策略之一。传统的绿色建筑环境效益评估依赖于汇总水平（如每月）的电力消耗数据。使用这些数据可能会使评估结果产生偏差，因为边际排放因子在一天中不断变化。我们使用2013-2016年亚利桑那州单个建筑每小时能源使用的面板数据，为绿色建筑提供更准确的可持续性评估。对于“能源之星”和“能源与环境设计领导力”建筑，我们估计的节电表明，夏季节电的大部分发生在电力负荷系统的高峰时段。估计每小时的节约和每小时的边际排放损害显示了绿色认证建筑的额外环境收益。我们的研究表明，传统的方法忽略了当天的节约时间，低估了绿色商业建筑95%的环境效益。我们还证明，我们的发现可以推广到更广泛的地理背景。
Reducing electricity consumption through green building certification is one key strategy for achieving environmental sustainability. Traditional assessments of the environmental benefits of green buildings rely on electricity consumption data at an aggregated level (such as monthly). Using such data can bias assessment results because marginal emissions factors vary throughout the day. We use panel data on hourly energy usage at the individual-building level from 2013-2016 in Arizona to provide a more accurate sustainability assessment for green buildings. For both Energy Star and Leadership in Energy and Environmental Design buildings, our estimated savings suggest that the majority of electricity savings in summer happen during electric load system peak hours. The estimated hourly savings and hourly marginal emissions damages reveal additional environmental gains in green-certified buildings. We show that traditional methods that ignore the intra-day timing of savings can underestimate the environmental benefit of green commercial buildings by 95%. We also demonstrate that our findings can be generalized to a broader geographical context.