Balancing Efficiency and Sustainability: Multicriteria Decision-Making for Pumping Station Upgrades

This study examines the financial and operational sustainability of modernizing drainage pump station systems in Vojvodina, aiming to improve energy efficiency and adapt to climate change. Various technical and economic modernization scenarios were analyzed to identify the optimal variant (V3.1), which balances investment costs, operational efficiency, and long-term environmental benefits. The analytical approaches used include multicriteria analysis, the Analytical Hierarchy Process (AHP) model, the TOPSIS technique, and fuzzy logic, providing comprehensive insights into the ranking of the four proposed variants. The results indicate that Variant V3.1, which features local SCADA systems and centralized management, offers an optimal solution for modernization. This model enhances operational reliability, reduces energy costs, and contributes to the sustainable development of the region through more efficient resource utilization. The proposed approach not only meets the specific needs of Vojvodina but also provides a broader framework for assessing similar infrastructure projects in other regions.

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Publication Details

Journal
Sustainability
Published
2025-03-22
DOI
https://doi.org/10.3390/su17072818
Citations
1
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.95
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article

Balancing Efficiency and Sustainability: Multicriteria Decision-Making for Pumping Station Upgrades

Andrea Ivanišević, Maja Petrović, Darko Stefanović, Sara Koprivica et al.
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article

Balancing Efficiency and Sustainability: Multicriteria Decision-Making for Pumping Station Upgrades

Andrea Ivanišević, Maja Petrović, Darko Stefanović, Sara Koprivica, Milan Jovin
article en
1 citations

Abstract

This study examines the financial and operational sustainability of modernizing drainage pump station systems in Vojvodina, aiming to improve energy efficiency and adapt to climate change. Various technical and economic modernization scenarios were analyzed to identify the optimal variant (V3.1), which balances investment costs, operational efficiency, and long-term environmental benefits. The analytical approaches used include multicriteria analysis, the Analytical Hierarchy Process (AHP) model, the TOPSIS technique, and fuzzy logic, providing comprehensive insights into the ranking of the four proposed variants. The results indicate that Variant V3.1, which features local SCADA systems and centralized management, offers an optimal solution for modernization. This model enhances operational reliability, reduces energy costs, and contributes to the sustainable development of the region through more efficient resource utilization. The proposed approach not only meets the specific needs of Vojvodina but also provides a broader framework for assessing similar infrastructure projects in other regions.

SustainabilityVol. 17(7)
University of Novi Sad (RS)
Openalex Percentile: Top 28%
Water Systems and Optimization
0.95
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