A5078718362- Solar Thermal and Photovoltaic Systems
- Hybrid Renewable Energy Systems
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Nanofluid Flow and Heat Transfer
- Energy and Environment Impacts
- Integrated Energy Systems Optimization
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Solar-Powered Water Purification Methods
- Heat Transfer Mechanisms
- Advanced Thermodynamics and Statistical Mechanics
- Global Energy and Sustainability Research
- Building Energy and Comfort Optimization
- Heat Transfer and Optimization
- Energy Load and Power Forecasting
- Refrigeration and Air Conditioning Technologies
- Energy Efficiency and Management
- Impact of Light on Environment and Health
- Adsorption and Cooling Systems
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
- Global Energy Security and Policy
- Smart Grid Energy Management
- Optimization and Mathematical Programming
- Advanced Battery Technologies Research
Cyprus International University
2016-2025
Université de Yaoundé I
2021
Eastern Mediterranean University
1999
Hybrid Renewable Energy Systems (HRESs) have been touted as an appropriate way for supplying electricity to remote and off-grid areas in developing countries, especially sub-Saharan Africa (SSA), where rural electrification challenges are the most pronounced. This study proposes a two-step methodology optimizing analyzing stand-alone photovoltaic/wind/battery/diesel hybrid system meet needs of Fanisua, village northern Nigeria. In first step, MATLAB environment was used run simulations...
With rising temperatures, extreme weather events, and environmental challenges, there is a strong push towards decarbonization an emphasis on renewable energy, with wind energy emerging as key player. The concept of multi-energy systems offers innovative approach to decarbonization, the potential produce hydrogen one output streams, creating another avenue for clean production. Hydrogen has significant decarbonizing multiple sectors across buildings, transport, industries. This paper...
Nanofluids are known to have immense potential for heat transfer applications because of their unique thermophysical properties when compared the conventional fluid. Predicting features like thermal conductivity has posed a challenge application. This article addresses some challenges in prediction by using data sets from several experimental research on various hybrid nanofluids train an intelligent neural network. The is predicted seven different input variables namely, volume...
Solar photovoltaic-thermal (PV/T) collectors, are hybrid collectors used to convert solar radiation into usable thermal and electrical energy. Recently, the field of research on PV/T is has focused improving efficiency collector by replacing conventional heat transfer fluids (HTFs) with nanofluids. This article investigates effect nanofluids mixture ratio useful energy overall a operating Al2O3-ZnO water nanofluid as HTF. Experiments measure thermophysical properties were conducted for...
The amelioration of photovoltaic (PV) and photovoltaic/thermal (PV/T) systems have garnered increased research interest lately, more so due to the discovery thermal property augmentation nanofluids. overarching goal this study is conduct a comparative analysis mono, hybrid, ternary hybrid nanofluids utilized as fluids for heat transfer applications particularly cooling mediums in PV/T applications. Al2O3, ZnO, Al2O3-ZnO, Al2O3-ZnO-Fe3O4 are synthesized at 1% volume concentration using...
This paper presents load forecasting and optimal sizing for minimizing the Annualized Cost of System (ACS) a stand-alone photovoltaic (PV)/wind/battery hybrid renewable energy system. To achieve forecasting, Support Vector Regression (SVR) was integrated with emerging Harris Hawks Optimization (HHO) Particle Swarm (PSO) algorithms to form two SVR (SVR-HHO SVR-PSO). The single obtained were used predict demand variability remote areas in Kano Abuja, Nigeria. For sizing, PSO algorithm used....
The prediction accuracy of support vector regression (SVR) is highly influenced by a kernel function. However, its performance suffers on large datasets, and this could be attributed to the computational limitations learning. To tackle problem, paper combines SVR with emerging Harris hawks optimization (HHO) particle swarm (PSO) algorithms form two hybrid algorithms, SVR-HHO SVR-PSO. Both proposed traditional were applied load forecasting in four different states Nigeria. correlation...
The world has not been able to achieve minimum greenhouse gas emissions in buildings’ energy consumptions because the and optimization techniques have fully utilized. Thermal comfort is one of most important issues for both residential commercial buildings. Out 40% global consumed by buildings, a large fraction used maintain their thermal comfort. In this study, comprehensive review recent advancements building conservation efficiency application presented based on existing high-quality...