Benchmarking weather sensitive plant level manufacturing energy use
by Gale Boyd
International Journal of Global Energy Issues (IJGEI), Vol. 32, No. 1/2, 2009

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.

Online publication date: Mon, 24-Aug-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Global Energy Issues (IJGEI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com