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A GIS-MOPSO integrated method for optimal design of grid-connected HRES for educational buildings

Mokhtar, Charafeddine; Negrou, Belkhir; Settou, Noureddine; Bouferrouk, Abdessalem; Yao, Yufeng; Messaoudi, Djilali


Charafeddine Mokhtar

Belkhir Negrou

Noureddine Settou

Yufeng Yao
Professor in Aerospace Engineering

Djilali Messaoudi


In this paper, an optimal design of a grid-connected PV-battery-hydrogen hybrid renewable energy system (HRES) at a University campus in Ouargla, Algeria is carried out. To achieve this goal, geographical information system (GIS), CAD software and multi-objective particle swarm optimization (MOPSO) are used. First, the rooftop’s solar energy potential, optimal zones to install PV panels and selection of the PV system’s best installation are determined, considering many design criteria. Thus, based on these outcomes, optimal sizing of the proposed hybrid system is then performed using MATLAB. Cost of energy, loss of power supply probability, and renewable usage are the objectives to be optimized. Here, an energy management strategy is adopted to select the most adequate storage option at each simulation time step. In this study, selling of the excess hydrogen gas has suggested instead of selling electricity to the grid. Results show that standard multi crystalline PV panels with an inclination angle of 17° is the best installation. In addition, the obtained optimal HRES, which includes PV/battery/hydrogen has a renewable usage of 90%, and cost of energy of only 0.22 $/kWh with high reliability.


Mokhtar, C., Negrou, B., Settou, N., Bouferrouk, A., Yao, Y., & Messaoudi, D. A GIS-MOPSO integrated method for optimal design of grid-connected HRES for educational buildings. In Springer Proceedings in Energy (371-378). Springer.

Online Publication Date Aug 20, 2020
Deposit Date Aug 29, 2020
Pages 371-378
Series Title Advances in Renewable Hydrogen and Other Sustainable Energy Carriers
Book Title Springer Proceedings in Energy
ISBN 9789811565946
Public URL