A5013278153- Microgrid Control and Optimization
- Smart Grid Energy Management
- Fluid Dynamics and Mixing
- Hybrid Renewable Energy Systems
- Optimal Power Flow Distribution
- Fluid Dynamics and Heat Transfer
- Minerals Flotation and Separation Techniques
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Granular flow and fluidized beds
- Energy and Environment Impacts
- Cyclone Separators and Fluid Dynamics
- Electric Vehicles and Infrastructure
- Grey System Theory Applications
- solar cell performance optimization
- Solar Thermal and Photovoltaic Systems
- Market Dynamics and Volatility
- Cavitation Phenomena in Pumps
- Advanced Battery Technologies Research
- Power System Optimization and Stability
- Fluid Dynamics Simulations and Interactions
- Energy Efficiency and Management
- Hydraulic and Pneumatic Systems
- Electric Power System Optimization
Université Ibn-Tofail
2016-2024
Office of Energy Efficiency and Renewable Energy
2022
Office Régional de Mise en Valeur Agricole de Ouarzazate
2021
Renewable Energy Systems (United Kingdom)
2021
Al Akhawayn University
2021
Universidad de Los Andes
2018
Chouaib Doukkali University
2017
Université de Sherbrooke
2007-2012
Depending on the band position electromagnetic spectrum, optical and electronic characteristics, sensors collect reflected energy by Earth’s surface atmosphere. Currently, availability of new generation medium resolution, such as Multi-Spectral Instrument (MSI) board Sentinel-2 satellite, offers opportunities for long-term high-temporal frequency surfaces observation monitoring. This paper focuses analysis comparison visible, near-infrared (VNIR), shortwave infrared (SWIR) spectral bands MSI...
In response to the escalating global energy crisis, motivation for this research has been derived from need sustainable and efficient solutions. A gap in existing renewable systems, particularly terms of stability efficiency under variable environmental conditions, recognized, leading introduction a novel hybrid system that combines photovoltaic (PV) wind energy. The innovation study lies methodological approach adopted, integrating dynamic modeling with sophisticated control mechanism. This...
In this study, two methods for forecasting the energy production are presented: polynomial Curve fitting and linear regression. On one hand, to combine of wind solar power. other sustain a continuous ensure availability as much consumption requires. The regression provided fair result comparing first model. summary, Polynomial curve model highest R-square adjusted indicating that was most appropriate among types models. models are, therefore, recommended applications. Simulation results...
To propel us toward a greener and more resilient future, it is imperative that we adopt renewable sources implement innovative sustainable solutions in response to the escalating energy crisis. Thus, energies have emerged as viable solution global crisis, with photovoltaic being one of prominent this regard. This paper represents significant step desired direction by focusing on detailed, comprehensive dynamic modeling efficient control (PV) systems grid-connected sources. The ultimate goal...
Energy demand is an important factor; it represents the industrial development of a country. In this work, we use ARIMA (Auto Regressive Integrated Moving Average) to model Morocco's energy demand. The validated by various statistical approaches such as determination coefficient, R square, R-square stationary. Additionally, performance assessed using mean absolute percentage error MAPE (eq 1), root means square RMSE 2) and MAE 3). history used for forecasting from 2015 2025.The results show...
This work demonstrates that a control strategy like MPC optimized by the PSO algorithm is more optimal than traditional controllers PI controllers. Comparing active power or torque electromagnetic obtained through these strategies to reference provided DFIG, it was observed this plan can significantly enhance system's productivity. Through constant modification of regulation, maintain operation even under varying wind conditions. not only ensuring maximum generation but also reduces impact...
A mathematical model for cellulase production by Trichoderma reesei RUT-C30 grown in a cellulose medium with lactose as fed batch an airlift reactor is proposed. To describe adequately the mass transfer between air bubbles and broth, it uses computational fluid dynamics (CFD) including multiphase Eulerian-Eulerian formulation, detailed description of bubble size distribution through use population balance (PBM) class method (CM). The kinetics biomass growth further coupled to flow conditions...
In this work, we aim to contribute the modeling and optimization of energy production. order minimize production costs, quantity available green in power system. The model is implemented under GAMS 24.7.1 environment was validated by using CPLEX.The presented can easily combine different sources energy, scheduling resources with high performance flexibility. This cost applied a real case, be reduced 38% winter 40, 89% summer.
In this work, a scheduling strategy considering an Energy Storage System (ESS) is proposed to manage the distributed energy resources (DERs) optimally in grid-connected hybrid PV-wind-microgrid. order increase use of renewable sources and ensure full charge battery for next day. The optimization problem study addressed through linear mathematical model, minimize cost bought from utility grid maximize income selling electricity generated by PV-wind. model tested using simulation model....
Using renewable energy by integrating Energy Storage Systems (ESS) can serve to decrease production cost of Distributed Generators (DGs) as long their operation is optimally managed. In this context, work proposes the optimization considering a two-level charging strategy for ESSs. For 24 hours cycle, tries reduce total minimizing quantity be procured from at each time period. Additionally, objective determine surplus generated Renewable (RE) stored in storage system and determining using...
A microgrid contains a PV generator and energy storage system connected in laboratory building. Power generation is scheduled to meet the load of building adjust optimally exchange within microgrid. In this study, problem decreasing cost under varied constraints user decisions addressed. addition, minimizing electricity costs utility grid proposed as an optimization model. To minimize using grid, ESS according peak demand. The algorithm schedules charging discharging battery. switching...