Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

Ali Saleh Aziz, Mohammad Faridun Naim Tajuddin, Tekai Eddine Khalil Zidane, Chun-Lien Su, Abdullahi Abubakar Mas’ud, Mohammed J. Alwazzan and Ali Jawad Kadhim Alrubaie
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Ali Saleh Aziz: Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia
Mohammad Faridun Naim Tajuddin: Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia
Tekai Eddine Khalil Zidane: Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, Kampus Pauh Putra, Arau 02600, Perlis, Malaysia
Chun-Lien Su: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 807618, Taiwan
Abdullahi Abubakar Mas’ud: Department of Electrical Engineering, Jubail Industrial College, Al Jubail 35718, Saudi Arabia
Mohammed J. Alwazzan: Department of Electrical Power Techniques Engineering, Al-Hussain University College, Karbala 56001, Karbala, Iraq
Ali Jawad Kadhim Alrubaie: Department of Medical Instrumentation Engineering Techniques, Al-Mustaqbal University College, Hilla 51001, Babil, Iraq

Sustainability, 2022, vol. 14, issue 13, 1-29

Abstract: Hybrid energy systems (HESs) consisting of both conventional and renewable energy sources can help to drastically reduce fossil fuel utilization and greenhouse gas emissions. The optimal design of HESs requires a suitable control strategy to realize the design, technical, economic, and environmental objectives. The aim of this study is to investigate the optimum design of a grid-connected PV/battery HES that can address the load requirements of a residential house in Iraq. The MATLAB Link in the HOMER software was used to develop a new dispatch strategy that predicts the upcoming solar production and electricity demand. A comparison of the modified strategy with the default strategies, including load following and cycle charging in HOMER, is carried out by considering the techno-economic and environmental perspectives. According to optimization studies, the modified strategy results in the best performance with the least net present cost (USD 33,747), unmet load (87 kWh/year), grid purchases (6188 kWh/year), and CO 2 emission (3913 kg/year). Finally, the sensitivity analysis was performed on various critical parameters, which are found to affect the optimum results on different scales. Taking into consideration the recent advocacy efforts aimed at achieving the sustainable development targets, the models proposed in this paper can be used for a similar system design and operation planning that allow a shift to more efficient dispatch strategies of HESs.

Keywords: dispatch strategy; forecasting; hybrid energy; HOMER; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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