A combined graph theory and analytic hierarchy process approach for multicriteria evaluation of hydrogen energy systems

Pramod B. Lanjewar, R.V. Rao and A.V. Kale

International Journal of Energy Technology and Policy, 2014, vol. 10, issue 1, 80-96

Abstract: Hydrogen is a renewable energy source and has the potential to mitigate the green house gas effect and to meet the increasing global electricity demand. In the present study, a multicriteria methodology is developed by combining graph theory and analytic hierarchy process methods for the evaluation and selection of hydrogen energy systems. The hydrogen energy system alternatives are assessed with respect to economic, environmental, performance and social criteria by computing the hydrogen energy system preference index. A detailed procedure for determination of hydrogen energy system preference index is suggested. Two examples relating to hydrogen production processes and hydrogen energy technologies are cited in order to demonstrate and validate the effectiveness and flexibility of the proposed methodology. In each example, a list of all possible choices from the best to the worst alternatives is obtained taking into account different evaluation criteria.

Keywords: hydrogen energy systems; graph theory; analytical hierarchy process; AHP; multicriteria decision making; MCDM; preference index; evaluation criteria; renewable energy. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=65049 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetpo:v:10:y:2014:i:1:p:80-96

Access Statistics for this article

More articles in International Journal of Energy Technology and Policy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().