TY - GEN
T1 - A dynamic and context-driven benchmarking framework for zero-net-energy buildings
AU - Kang, Y.
AU - Spiegelhalter, T.
AU - Pala, N.
AU - Zhu, Y.
AU - Bhattarai, A.
PY - 2012
Y1 - 2012
N2 - The building sector has consumed a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE) for Buildings in the near future, designers need to consider energy consumption and CO2 emissions during planning and design stages. Benchmarking is the systematic process of measuring performance against best performers to determine best practices leading superior performance. Today, benchmarking, such as the Energy Star designation, is already being applied to measure building energy performance. However, questions still remain as to how effective the benchmarks are. Due to the uniqueness of each building and the dynamic nature of building operations, the value of dynamic and context-driven benchmarking is not fully understood. This paper presents a framework for using automatic data collection techniques, such as sensors, to contextualize and compare the energy consumption and CO2 emissions of a building. The authors also discuss how these benchmark data can be used in planning and design phases.
AB - The building sector has consumed a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE) for Buildings in the near future, designers need to consider energy consumption and CO2 emissions during planning and design stages. Benchmarking is the systematic process of measuring performance against best performers to determine best practices leading superior performance. Today, benchmarking, such as the Energy Star designation, is already being applied to measure building energy performance. However, questions still remain as to how effective the benchmarks are. Due to the uniqueness of each building and the dynamic nature of building operations, the value of dynamic and context-driven benchmarking is not fully understood. This paper presents a framework for using automatic data collection techniques, such as sensors, to contextualize and compare the energy consumption and CO2 emissions of a building. The authors also discuss how these benchmark data can be used in planning and design phases.
UR - http://www.scopus.com/inward/record.url?scp=84888318169&partnerID=8YFLogxK
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U2 - 10.1061/9780784412343.0079
DO - 10.1061/9780784412343.0079
M3 - Conference contribution
AN - SCOPUS:84888318169
SN - 9780784412343
T3 - Congress on Computing in Civil Engineering, Proceedings
SP - 626
EP - 633
BT - Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
T2 - 2012 ASCE International Conference on Computing in Civil Engineering
Y2 - 17 June 2012 through 20 June 2012
ER -
