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Finding the Most Suitable Existing Irrigation Dams for Small Hydropower Development in Turkey: a Gis-Fuzzy Logic Tool

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Date

2021

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Volume Title

Publisher

Pergamon-elsevier Science Ltd

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Green Open Access

No

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Top 10%
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Abstract

This paper enables a screening of existing irrigation dams in order to assess and rank potential sites for small hydropower development by using a Geographic Information System (GIS)-fuzzy logic multi criteria scoring technique. The following criteria are evaluated: dam characteristics (reservoir normal level, reservoir capacity, dam purpose, dam ageing), and grid connection spatial characteristics. The proposed method estimates the suitability degree of each criterion separately and then aggregates them into a Site Suitability Index (SSI). Existing irrigation dams in Turkey are assessed in order to be utilized for hydropower development. The overall score of each candidate site is obtained and, their performance is compared for different strategies. One of the most suitable dams, Karadere, was chosen as a case study. By using the daily continuous monitored data, we showed that flow and head is highly variable during the irrigation season. Accordingly, we evaluated an innovative compact medium-head hydro turbine that can capture those fluctuations with its operational flexibility and minimal civil works. Moreover, an optimal path methodology was applied to find the best grid connection route from the dam to its nearest substation considering the site land use characteristics in order to minimize land expropriation. (c) 2021 Elsevier Ltd. All rights reserved.

Description

Al-Bayati, Omar/0000-0002-7644-7162

Keywords

Irrigation Dams, Small Hydropower, Gis, Fuzzy Multi-Criteria Decision Making, Turkey

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Küçükali, serhat; Al Bayatı, Omar; Maraş, H. Hakan (2021). "Finding the most suitable existing irrigation dams for small hydropower development in Turkey: A GIS-Fuzzy logic tool", Renewable Energy, Vol. 172, pp. 633-650.

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
11

Source

Renewable Energy

Volume

172

Issue

Start Page

633

End Page

650
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CrossRef : 2

Scopus : 9

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Mendeley Readers : 44

SCOPUS™ Citations

10

checked on Feb 24, 2026

Web of Science™ Citations

4

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4

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1.72691906

Sustainable Development Goals

7

AFFORDABLE AND CLEAN ENERGY
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