Title: Benchmarking weather sensitive plant level manufacturing energy use

Authors: Gale Boyd

Addresses: Triangle Census Research Data Center, Department of Economics, Duke University, Box 90097, Durham, NC 27708, USA

Abstract: Energy intensity of manufacturing varies due to the products produced and the efficiency of production. For some sectors a portion of the energy demand is weather sensitive. This paper applies stochastic frontier regression to auto assembly and pharmaceuticals. The effects of production, utilisation and weather on energy are estimated. The differences in efficiency are captured by a one-sided error term in the frontier model. Confidential plant level data provided by companies that voluntarily participated in this study are used. US EPA Energy Star programme uses the models to provide recognition of superior energy performance for plants in these industries.

Keywords: manufacturing plants; energy efficiency; benchmarking; stochastic frontier regression; automotive assembly; pharmaceuticals; energy performance; weather sensitive differences.

DOI: 10.1504/IJGEI.2009.027970

International Journal of Global Energy Issues, 2009 Vol.32 No.1/2, pp.4 - 18

Published online: 24 Aug 2009 *

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