Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings

Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings
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ISBN-10 : OCLC:316322305
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Book Synopsis Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings by : Mary Ann Piette

Download or read book Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings written by Mary Ann Piette and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This benchmarking review has been developed to support benchmarking planning and tool development under discussion by the California Energy Commission (CEC), Lawrence Berkeley National Laboratory (LBNL) and others in response to the Governor's Executive Order S-20-04 (2004). The Executive Order sets a goal of benchmarking and improving the energy efficiency of California's existing commercial building stock. The Executive Order requires the CEC to propose ''a simple building efficiency benchmarking system for all commercial buildings in the state''. This report summarizes and compares two currently available commercial building energy-benchmarking tools. One tool is the U.S. Environmental Protection Agency's Energy Star National Energy Performance Rating System, which is a national regression-based benchmarking model (referred to in this report as Energy Star). The second is Lawrence Berkeley National Laboratory's Cal-Arch, which is a California-based distributional model (referred to as Cal-Arch). Prior to the time Cal-Arch was developed in 2002, there were several other benchmarking tools available to California consumers but none that were based solely on California data. The Energy Star and Cal-Arch benchmarking tools both provide California with unique and useful methods to benchmark the energy performance of California's buildings. Rather than determine which model is ''better'', the purpose of this report is to understand and compare the underlying data, information systems, assumptions, and outcomes of each model.


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