THERMAL SCIENCE

International Scientific Journal

DEVELOPMENT AND PRIORITIZATION OF RENEWABLE ENERGY SCENARIOS USING SWOT-FANP METHODOLOGY

ABSTRACT
The main goal of this paper is to develop and prioritize renewable energy scenarios for electricity production. The model proposed in the paper was applied on the example of the municipality of Štrpce, enclave in south Kosovo**. The model consists out of three phases, and the decision-making and planning process involves a group of decision makers, i.e. selected experts and stakeholders. In the first phase, a group of decision makers, using a collaborative planning method and Homer pro software, defined eight renewable energy scenarios based on renewable energy potentials and electricity demand in Štrpce. In the second phase, a group of decision makers, using the strengths, weaknesses, opportunities, and threats analysis, defined a total of 22 criteria to evaluate scenarios. Finally, in the third phase, a group of decision makers used fuzzy analytical network process methodology to prioritize scenarios. Results show that a scenario that includes installation of photovoltaic panels in Štrpce households to cover 50% of the electricity demand is first ranked. The proposed model has a universal character which means that it can be applied in other municipalities/cities and regions. Also, the model enables collaborative planning through the inclusion of different stakeholders whose number and type can be adjusted according to the subject/area of research.
KEYWORDS
PAPER SUBMITTED: 2019-10-18
PAPER REVISED: 2020-03-02
PAPER ACCEPTED: 2020-03-20
PUBLISHED ONLINE: 2020-04-04
DOI REFERENCE: https://doi.org/10.2298/TSCI191018145S
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 3, PAGES [1731 - 1742]
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© 2022 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence