Energy Planning and Optimization Model for Campus Buildings: A Case Study of Erciyes University

This study addresses energy consumption and climate change challenges in university campus buildings, focusing on Erciyes University. The research develops a multi-objective optimization model using GAMS software and NEOS Server to enhance campus energy efficiency. The model evaluates various energy-saving measures and their investment costs. Findings indicate that building envelope insulation can reduce heating energy consumption by 35%, while efficient hot water systems and energy-saving technologies can achieve savings up to 75.5%. Model calculations using SCIP and LINDO solvers demonstrate high accuracy, with results differing by only 0.2%. This research provides valuable guidance for university decision-makers in implementing targeted interventions for significant primary energy savings.

Authors

Publication Details

Journal
Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD)
Published
2024-12-15
DOI
https://doi.org/10.30785/mbud.1559401
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.27

Funders

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article

Energy Planning and Optimization Model for Campus Buildings: A Case Study of Erciyes University

Saltuk Buğra Selçuklu, Atabek Movlyanov, Beyza Akyol
1 citations
Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD)
Building Energy and Comfort Optimization
0.27
article

Energy Planning and Optimization Model for Campus Buildings: A Case Study of Erciyes University

Saltuk Buğra Selçuklu, Atabek Movlyanov, Beyza Akyol
article en
1 citations

Abstract

This study addresses energy consumption and climate change challenges in university campus buildings, focusing on Erciyes University. The research develops a multi-objective optimization model using GAMS software and NEOS Server to enhance campus energy efficiency. The model evaluates various energy-saving measures and their investment costs. Findings indicate that building envelope insulation can reduce heating energy consumption by 35%, while efficient hot water systems and energy-saving technologies can achieve savings up to 75.5%. Model calculations using SCIP and LINDO solvers demonstrate high accuracy, with results differing by only 0.2%. This research provides valuable guidance for university decision-makers in implementing targeted interventions for significant primary energy savings.

Mimarlık Bilimleri ve Uygulamaları Dergisi (MBUD)Vol. 9(2)
U.S. Department of Energy, Erciyes Üniversitesi
Affordable and clean energy
Openalex Percentile: Top 40%
Building Energy and Comfort Optimization
0.27
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