A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Evaluating Temporal Shifts in City Scale Building Energy Benchmarks
Given the central role urban areas play in reducing worldwide carbon emissions, they are challenged with strategically assessing building performance and implementing optimal measures to meet carbon reduction targets on a city-scale. Current bottom-up approaches for assessing building performance are most applicable at the individual building level and challenging to implement at scale, while top-down benchmarking methods are limited in the insight they can offer to identify specific areas for building performance improvement. This paper leverages smart meter electricity data to examine an understudied component of energy use within benchmarking studies—temporal changes—to assess the potential of temporally segmented benchmarks in identifying underlying areas of building inefficiencies across a large scale of buildings. Top-down, data-driven strategies are applied to develop temporally segmented benchmarks across a community of buildings. Results show that benchmarks during various time periods are statistically distinct from annual benchmarks for the majority of buildings, indicating that for many buildings energy performance shifts temporally throughout the year. Such insights have the potential to inform energy efficiency decisions across a large number of buildings, which typically rely on annual performance data for prioritization decisions. Overall, these findings demonstrate the potential of building benchmarks segmented across time to support municipalities, building owners, and energy managers with systematically and continually identifying the most pressing areas for efficiency improvement to meet aggressive energy reduction targets.
Evaluating Temporal Shifts in City Scale Building Energy Benchmarks
Given the central role urban areas play in reducing worldwide carbon emissions, they are challenged with strategically assessing building performance and implementing optimal measures to meet carbon reduction targets on a city-scale. Current bottom-up approaches for assessing building performance are most applicable at the individual building level and challenging to implement at scale, while top-down benchmarking methods are limited in the insight they can offer to identify specific areas for building performance improvement. This paper leverages smart meter electricity data to examine an understudied component of energy use within benchmarking studies—temporal changes—to assess the potential of temporally segmented benchmarks in identifying underlying areas of building inefficiencies across a large scale of buildings. Top-down, data-driven strategies are applied to develop temporally segmented benchmarks across a community of buildings. Results show that benchmarks during various time periods are statistically distinct from annual benchmarks for the majority of buildings, indicating that for many buildings energy performance shifts temporally throughout the year. Such insights have the potential to inform energy efficiency decisions across a large number of buildings, which typically rely on annual performance data for prioritization decisions. Overall, these findings demonstrate the potential of building benchmarks segmented across time to support municipalities, building owners, and energy managers with systematically and continually identifying the most pressing areas for efficiency improvement to meet aggressive energy reduction targets.
Evaluating Temporal Shifts in City Scale Building Energy Benchmarks
Francisco, Abby (author) / Mohammadi, Neda (author) / Taylor, John E. (author)
Construction Research Congress 2018 ; 2018 ; New Orleans, Louisiana
Construction Research Congress 2018 ; 450-460
2018-03-29
Conference paper
Electronic Resource
English
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