Novel hydroelectricity data envelopment analysis model
by Kenneth David Strang
International Journal of Energy Technology and Policy (IJETP), Vol. 15, No. 4, 2019

Abstract: In this paper a data envelopment analysis (DEA) was developed using a spreadsheet to inform policy decision making for a clean renewable hydroelectricity plant located in a natural park preserve. The DEA objective function was to make the minimum changes to the proposed policy rates for hydroelectricity generation subject to the known capabilities and risks calculated from a beta distribution. The DEA decision variables were the proposed changes to the policy rates for each month. The simplex linear programming technique was used to implement DEA in a spreadsheet. Screen shots were included to illustrate how to setup the DEA spreadsheet. The results of this paper should generalise to policy makers, practitioners, analysts and researchers in the public utility and specifically in the clean renewable hydroelectricity community.

Online publication date: Tue, 01-Oct-2019

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 Energy Technology and Policy (IJETP):
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