Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach

Habib Ur Rehman, Sajjad Ali Haider, Syed Rameez Naqvi, Muhammad Naeem, Kyung-Sup Kwak and S. M. Riazul Islam
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Habib Ur Rehman: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Sajjad Ali Haider: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Syed Rameez Naqvi: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Muhammad Naeem: Department of Electrical and Computer Engineering, COMSATS University Islamabad, G.T. Road, Wah Cantonment 47040, Pakistan
Kyung-Sup Kwak: Department of Information and Communication Engineering, Inha University, Incheon 22212, Korea
S. M. Riazul Islam: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea

Energies, 2022, vol. 15, issue 3, 1-15

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.

Keywords: energy demand; renewable energy sources; energy cooperation; optimization; McCormick envelopes (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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