LAPSE:2023.15998
Published Article

LAPSE:2023.15998
Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach
March 2, 2023
Abstract
Energy consumption in residential, commercial and industrial buildings is one of the major contributors to global warming. Due to the increase in the latter, and growing global energy crisis, more attention is being paid to renewable energy resources (RES). The use of innovative concepts in existing buildings is gaining popularity to provide reduction in energy requirements for electricity, heating and cooling. In this paper, an electricity, heating and cooling cooperation mechanism among neighboring buildings with RES is proposed. It relies on adjusting the RES tariff with a mutual agreement between the neighboring buildings, with an aim to minimize the operational costs. For this purpose, a mathematical model is developed for joint energy cooperation, where surplus energy in one of the buildings is shared with others, thereby reducing dependency on the grid. The optimization structure of the environment friendly energy cooperation is nonlinear, which is linearized using the McCormick envelopes. A scenario for the city of Islamabad, Pakistan, is considered by utilizing its environmental data obtained from public domain websites. The simulation results show more than twenty percent energy cost savings with the proposed cooperation model.
Energy consumption in residential, commercial and industrial buildings is one of the major contributors to global warming. Due to the increase in the latter, and growing global energy crisis, more attention is being paid to renewable energy resources (RES). The use of innovative concepts in existing buildings is gaining popularity to provide reduction in energy requirements for electricity, heating and cooling. In this paper, an electricity, heating and cooling cooperation mechanism among neighboring buildings with RES is proposed. It relies on adjusting the RES tariff with a mutual agreement between the neighboring buildings, with an aim to minimize the operational costs. For this purpose, a mathematical model is developed for joint energy cooperation, where surplus energy in one of the buildings is shared with others, thereby reducing dependency on the grid. The optimization structure of the environment friendly energy cooperation is nonlinear, which is linearized using the McCormick envelopes. A scenario for the city of Islamabad, Pakistan, is considered by utilizing its environmental data obtained from public domain websites. The simulation results show more than twenty percent energy cost savings with the proposed cooperation model.
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Keywords
energy cooperation, energy demand, McCormick envelopes, Optimization, renewable energy sources
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Suggested Citation
Ur Rehman H, Haider SA, Naqvi SR, Naeem M, Kwak KS, Islam SMR. Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach. (2023). LAPSE:2023.15998
Author Affiliations
Ur Rehman H: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Haider SA: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Naqvi SR: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan [ORCID]
Naeem M: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Kwak KS: Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea [ORCID]
Islam SMR: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea [ORCID]
Haider SA: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Naqvi SR: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan [ORCID]
Naeem M: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Kwak KS: Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea [ORCID]
Islam SMR: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
1160
Year
2022
Publication Date
2022-02-04
ISSN
1996-1073
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Original Submission
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PII: en15031160, Publication Type: Journal Article
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LAPSE:2023.15998
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https://doi.org/10.3390/en15031160
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Mar 2, 2023
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