Title: Novel hydroelectricity data envelopment analysis model

Authors: Kenneth David Strang

Addresses: APPC Research, 13 Miller St., Cammeray, NSW 2060, Australia; Walden University, Minneapolis, MN, USA

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.

Keywords: data envelopment analysis; DEA; operations research; hydroelectricity; clean renewable energy; park; risk; beta distribution; spreadsheet office automation software models.

DOI: 10.1504/IJETP.2019.102661

International Journal of Energy Technology and Policy, 2019 Vol.15 No.4, pp.436 - 456

Received: 13 Jan 2017
Accepted: 27 Oct 2017
Published online: 01 Oct 2019 *

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