Citation: Nuriyev, M.; Mammadov, J.;
Nuriyev, A.; Mammadov, J. Selection
of Renewables for Economic Regions
with Diverse Conditions: The Case of
Azerbaijan. Sustainability 2022, 14,
12548. https://doi.org/10.3390/
su141912548
Academic Editors: Erol Kurt, Jose
Manuel Lopez-Guede and Grigorios
L. Kyriakopoulos
Received: 31 August 2022
Accepted: 29 September 2022
Published: 2 October 2022
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sustainability
Article
Selection of Renewables for Economic Regions with Diverse
Conditions: The Case of Azerbaijan
Mahammad Nuriyev
1
, Jeyhun Mammadov
1,
* , Aziz Nuriyev
2
and Joshgun Mammadov
1
1
Department of Economics and Management, Khazar University, 41 Mahsati Str., Baku AZ1096, Azerbaijan
2
Joint MBA Program, Azerbaijan State Oil and Industrial University, 20 Azadliq Ave., Baku AZ1010, Azerbaijan
* Correspondence: jmammadov@khazar.org
Abstract: The objective of this paper is to study the specifics of the selection of renewables for
regions of Azerbaijan with diverse conditions. Information is obtained through the analysis of the
regions’ conditions and experts’ opinions. Analysis reveals that geographical position, diversity of
natural resources, and a variety of other factors of the five economic regions of the country require
subdivision of these regions in the selection of renewables. Given that the selection of renewables is a
multi-criteria decision-making (MCDM) task under a high degree of uncertainty, Z-number-based
models have been developed, and Z-extension of the Technique for Order of Preference by Similarity
to Ideal Solution (TOPSIS) method has been used. Solutions have been derived based on direct
calculations with Z-numbers. In this paper, results obtained for two regions are presented. In the case
of one region, for the first part (mountains and foothill) of the Karabakh economic region, renewables
are ranked as hydro, solar, and wind. For the second part (plain), the ranking is as follows: solar,
hydro, and wind. For the Guba-Khachmaz economic region, the rankings of renewables for parts
of the region are also different: the wind is preferable for the seaside, and solar is more appropriate
for the foothills. Results show that in the case of uneven distribution of renewables and significant
differences in factors influencing decision-making, it is necessary to subdivide economic regions and
use different models for the selection of renewables.
Keywords: renewables selection; diverse conditions; Z-numbers; direct calculations; Z-TOPSIS
1. Introduction
Countries are developing and implementing long-term plans for the gradual replace-
ment of the environmentally unfriendly fossil energy resources. Differences in geographical
position, diversity of the natural and economic conditions, and uneven distributions of the
resources within the countries and regions require the application of different approaches
for the development of renewables in various economic regions.
Azerbaijan is endowed with rich natural resources. The share of oil-gas sector in the
GDP is 37 percent, which has decreased significantly from 56 percent in 2006 (when oil rent
as a percent of GDP was 39.7 percent), due to reforms on economic diversification [1–3].
On the way to achieving sustainable development, shifting from non-renewable energy
to renewable energy is dispensable. Azerbaijan has nine climatic zones, and its nature is
represented by mountains and foothill zones, plains, semi-deserts, sub-tropics, and seaside
areas. The potential of economically viable and technically feasible renewable energy
sources of Azerbaijan is estimated at 27,000 MW, including 3000 MW of wind energy,
23,000 MW of solar energy, 380 MW of bioenergy potential, and 520 MW of mountain
rivers [4]. Currently, total energy supply is 17,566,600 TOE. The shares of renewable
energy supplies of hydropower, biomass, wind power, and solar (photovoltaic) power
in total energy consumption are 0.6 percent, 0.6 percent, 0.1 percent, and 0.03 percent,
respectively [2]. Potential utilization of rich renewable energy resources of Azerbaijan
requires proper evaluation and investment analysis of its economic regions. Therefore,
Sustainability 2022, 14, 12548. https://doi.org/10.3390/su141912548 https://www.mdpi.com/journal/sustainability