Aboubakr Benazzouz
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Aboubakr Benazzouz has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Abdelilah Rochd
Research Platform in Solar and Renewable Energies, Green Energy Park, Benguerir 43150, Morocco
1 shared publication - Abdellatif Ghennioui
Green Energy Park, Ben Guerir, Morocco
1 shared publication - Abderrazzak Elamim
Green Energy Park, Polytechnic University Mohamed VI, Benguerir, Morocco
1 shared publication - Bouthaina El Barkouki
Mohammadia School of Engineers, Mohammed V University in Rabat
1 shared publication - Hakgeun Jeong
Energy ICT∙ESS Laboratory, Korea Institute of Energy Research, Daejeon 34101, Korea
1 shared publication - Ibtihal Ait Abdelmoula
Green Energy Park Research Platform (GEP, IRESEN/UM6P), Benguerir 43150, Morocco
1 shared publication
Latest Publications
- Open Access
- 15 June 2023
- Published by Elsevier in Energy Reports
- Vol. 9, 322-339
Long-term outdoor performance and degradation evaluation of CIS PV plant under the semi-arid climate of Benguerir Morocco
- 15 June 2023
- Published by Elsevier in Energy Reports
- Vol. 9, 322-339
Open AccessLong-term outdoor performance and degradation evaluation of CIS PV plant under the semi-arid climate of Benguerir Morocco
- Open Access
An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid
Energy storage systems are an effective solution to manage the intermittency of renewable energies, balance supply, and demand. Numerous studies recommend adopting a shared energy storage system (ESS) as opposed to multiple single ESSs because of their high prices and inefficiency. Thus, this study examines a shared storage system in a grid-connected microgrid. By modifying the power outputs of the energy resources, this work intends to implement an economic dispatch of a shared ESS in order to satisfy the power balance and lower the overall cost of electricity. In this context, an optimization problem was formulated and developed using a mixed-integer linear programming (MILP) model. Furthermore, a pilot project (the Solar Decathlon Africa Village) in the Green & Smart Building Park (GSBP), Benguerir, Morocco, was employed to evaluate and verify the proposed approach. Some comparable scenarios were therefore run in a MATLAB environment. The collected findings demonstrate the efficacy of the developed algorithm in terms of optimizing energy cost reductions and enhancing the integration of renewable resources into the Moroccan energy mix.
Open AccessAn Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid
Energy storage systems are an effective solution to manage the intermittency of renewable energies, balance supply, and demand. Numerous studies recommend adopting a shared energy storage system (ESS) as opposed to multiple single ESSs because of their high prices and inefficiency. Thus, this study examines a shared storage system in a grid-connected microgrid. By modifying the power outputs of the energy resources, this work intends to implement an economic dispatch of a shared ESS in order to satisfy the power balance and lower the overall cost of electricity. In this context, an optimization problem was formulated and developed using a mixed-integer linear programming (MILP) model. Furthermore, a pilot project (the Solar Decathlon Africa Village) in the Green & Smart Building Park (GSBP), Benguerir, Morocco, was employed to evaluate and verify the proposed approach. Some comparable scenarios were therefore run in a MATLAB environment. The collected findings demonstrate the efficacy of the developed algorithm in terms of optimizing energy cost reductions and enhancing the integration of renewable resources into the Moroccan energy mix.
- 1 August 2020
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 373, 112406
Computing recursive orthogonal polynomial with Schur complements
- 1 August 2020
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 373, 112406
Computing recursive orthogonal polynomial with Schur complements