Scalable methodology for energy efficiency retrofit decision analysis. Heo, Y., Zhao, F., Lee, S. H., Sun, Y., Kim, J., Augenbroe, G., & Muehleisen, R. In Fifth National Conference of IBPSA-USA, pages 513–520, 2012. abstract bibtex This paper introduces a scalable methodology that supports energy retrofit decision-making at two levels. The methodology is based on normative energy models to provide objective and transparent benchmarking and assessment. The aggregate-level analysis evaluates the effectiveness of policy and business plans on energy savings by benchmarking the energy performance of a collection of buildings and projecting the effects of different retrofit scenarios over time. The individual- level analysis supports risk-conscious decision-making for building stakeholders by providing explicit information about the energy performance risks associated with specific retrofit alternatives. This paper describes model results for a small set of commercial buildings in the Chicago Loop and findings relevant to the method�s application.
@inproceedings{heo2012scalable,
title={Scalable methodology for energy efficiency retrofit decision analysis},
author={Heo, Yeonsook and Zhao, Fei and Lee, Sang Hoon and Sun, Yuming and Kim, Jinsol and Augenbroe, Godfried and Muehleisen, RT},
booktitle={Fifth National Conference of IBPSA-USA},
pages={513--520},
year={2012},
abstract={This paper introduces a scalable methodology that supports energy retrofit decision-making at two levels. The methodology is based on normative energy models to provide objective and transparent benchmarking and assessment. The aggregate-level analysis evaluates the effectiveness of policy and business plans on energy savings by benchmarking the energy performance of a collection of buildings and projecting the effects of different retrofit scenarios over time. The individual- level analysis supports risk-conscious decision-making for building stakeholders by providing explicit information about the energy performance risks associated with specific retrofit alternatives. This paper describes model results for a small set of commercial buildings in the Chicago Loop and findings relevant to the method�s application.}
}
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