Ag Sufiyan Abd Hamid
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
Ag Sufiyan Abd Hamid has a total of 54 co-authors. Here are the top co-authors by number of shared publications:
- Adnan Ibrahim
Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi, Malaysia
12 shared publications - Ahmad Fazlizan
Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
5 shared publications - Kamaruzzaman Sopian
Mechanical Engineering Department, Universiti Teknologi Petronas, Seri Iskandar, Malaysia
5 shared publications - Faisal Nawab
Department of Renewables Energy Khushal, Khan Khattak University, Karak, Pakistan
3 shared publications - Jedol Dayou
Universiti Malaysia Sabah
3 shared publications Abd Hamid
Faculty of Science and Natural Resources Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia
2 shared publications
Latest Publications
- Open Access
- 10 July 2023
- Published by Universiti Malaysia Sabah (UMS) in Borneo Science | The Journal of Science and Technology
- Vol. 40 (1)
Solar Car: Brief Review and Challenges
Solar energy is known as renewable and clean source of energy. This tremendous amount of energy is widely used from small portable application to gigawatt size power plant generation. It has been utilized for various off grid or standalone applications including for vehicles. However, the progress of Solar Car (SC) was unsatisfied. Unlike Hydrogen Car (HC) and Pure Electric Vehicle (PEV), there is no commercialize SC marketed yet. Many strategies contributed to the successful of HC and PEV such as supportive policy, taxation, facilities and private involvement. The main component of SC can be simplified and consists of the structure, photovoltaic (PV) module, rechargeable battery pack, electric motor and power management unit. Main issue for SC is how to match between energy require and supply. Researchers are trying to find multiple solution from various aspects. Thirty SC prototypes were developed globally by numerous parties and most of them from academic bodies or universities. The purpose of the development is for solar car racing and to break commercialization boundary. As far as technology is concern, to achieve self-powered SC is quite challenging. The nearest potential solution can be learned from HC and PEV. All these potential solutions must be balance with the other side factor and come with a cost.
- 10 July 2023
- Published by Universiti Malaysia Sabah (UMS) in Borneo Science | The Journal of Science and Technology
- Vol. 40 (1)
Open AccessSolar Car: Brief Review and Challenges
Solar energy is known as renewable and clean source of energy. This tremendous amount of energy is widely used from small portable application to gigawatt size power plant generation. It has been utilized for various off grid or standalone applications including for vehicles. However, the progress of Solar Car (SC) was unsatisfied. Unlike Hydrogen Car (HC) and Pure Electric Vehicle (PEV), there is no commercialize SC marketed yet. Many strategies contributed to the successful of HC and PEV such as supportive policy, taxation, facilities and private involvement. The main component of SC can be simplified and consists of the structure, photovoltaic (PV) module, rechargeable battery pack, electric motor and power management unit. Main issue for SC is how to match between energy require and supply. Researchers are trying to find multiple solution from various aspects. Thirty SC prototypes were developed globally by numerous parties and most of them from academic bodies or universities. The purpose of the development is for solar car racing and to break commercialization boundary. As far as technology is concern, to achieve self-powered SC is quite challenging. The nearest potential solution can be learned from HC and PEV. All these potential solutions must be balance with the other side factor and come with a cost.
- Open Access
Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review
- Open Access
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V13i4) , 1547-1555
Performance Comparison of the Standard Photovoltaic Thermal Collector (PVT) and Photovoltaic Thermal Collector with Phase Change Materials (PVT-PCM)
Performance Comparison of the Standard Photovoltaic Thermal Collector (PVT) and Photovoltaic Thermal Collector with Phase Change Materials (PVT-PCM)
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V13i4) , 1547-1555
Open AccessPerformance Comparison of the Standard Photovoltaic Thermal Collector (PVT) and Photovoltaic Thermal Collector with Phase Change Materials (PVT-PCM)
Performance Comparison of the Standard Photovoltaic Thermal Collector (PVT) and Photovoltaic Thermal Collector with Phase Change Materials (PVT-PCM)
- Open Access
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V32i3) , 1418-1430
Performance Analysis of a Novel Photovoltaic Thermal PVT Double Pass Solar Air Heater with Cylindrical PCM Capsules using CFD
Performance Analysis of a Novel Photovoltaic Thermal PVT Double Pass Solar Air Heater with Cylindrical PCM Capsules using CFD
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V32i3) , 1418-1430
Open AccessPerformance Analysis of a Novel Photovoltaic Thermal PVT Double Pass Solar Air Heater with Cylindrical PCM Capsules using CFD
Performance Analysis of a Novel Photovoltaic Thermal PVT Double Pass Solar Air Heater with Cylindrical PCM Capsules using CFD
- Open Access
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V13i1) , 125-135
Thermal and Thermo-hydraulic Performance of Finned Double-Pass Solar Air Collector Utilizing Cylindrical Capsules Nano-Enhanced PCM
Thermal and Thermo-hydraulic Performance of Finned Double-Pass Solar Air Collector Utilizing Cylindrical Capsules Nano-Enhanced PCM
- 1 January 2023
- Published by International Journal of Renewable Energy Research in International Journal of Renewable Energy Research
- Vol. 13 (V13i1) , 125-135
Open AccessThermal and Thermo-hydraulic Performance of Finned Double-Pass Solar Air Collector Utilizing Cylindrical Capsules Nano-Enhanced PCM
Thermal and Thermo-hydraulic Performance of Finned Double-Pass Solar Air Collector Utilizing Cylindrical Capsules Nano-Enhanced PCM
- Open Access
- 21 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (20) , 13684
An Analysis of Renewable Energy Technology Integration Investments in Malaysia Using HOMER Pro
Renewable energy systems are technologies that can generate electricity from solar, wind, hydroelectric, biomass, and other renewable energy resources. This research project aims to find the best renewable energy technology combinations for several scenarios in Malaysia. The strategies are analysed by evaluating the investments in the renewable energy systems in each of the decided scenarios in Malaysia, Pekan, Pahang and Mersing, Johor, using HOMER Pro software. The finding shows that the PV–wind hybrid system has a better net present cost (NPC) than the other systems for both scenarios, which are USD −299,762.16 for Scenario 1 and USD −642,247.46 for Scenario 2. The PV–wind hybrid system has 4.86-year and 2.98-year payback periods in Scenarios 1 and 2. A combination of RE technologies yielded fewer emissions than one kind alone. The PV–wind hybrid system provides a quicker payback period, higher money savings, and reduced pollutants. The sensitivity results show that resource availability and capital cost impact NPC and system emissions. This finding reveals that integrated solar and wind technologies can improve the economic performance (e.g., NPC, payback period, present worth) and environmental performance (e.g., carbon dioxide emissions) of a renewable energy system.
- 21 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (20) , 13684
Open AccessAn Analysis of Renewable Energy Technology Integration Investments in Malaysia Using HOMER Pro
Renewable energy systems are technologies that can generate electricity from solar, wind, hydroelectric, biomass, and other renewable energy resources. This research project aims to find the best renewable energy technology combinations for several scenarios in Malaysia. The strategies are analysed by evaluating the investments in the renewable energy systems in each of the decided scenarios in Malaysia, Pekan, Pahang and Mersing, Johor, using HOMER Pro software. The finding shows that the PV–wind hybrid system has a better net present cost (NPC) than the other systems for both scenarios, which are USD −299,762.16 for Scenario 1 and USD −642,247.46 for Scenario 2. The PV–wind hybrid system has 4.86-year and 2.98-year payback periods in Scenarios 1 and 2. A combination of RE technologies yielded fewer emissions than one kind alone. The PV–wind hybrid system provides a quicker payback period, higher money savings, and reduced pollutants. The sensitivity results show that resource availability and capital cost impact NPC and system emissions. This finding reveals that integrated solar and wind technologies can improve the economic performance (e.g., NPC, payback period, present worth) and environmental performance (e.g., carbon dioxide emissions) of a renewable energy system.
- Open Access
- 6 September 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (18) , 11124
Solar–Biogas Microgrid: A Strategy for the Sustainable Development of Rural Communities in Pakistan
Access to uninterrupted power is not a luxury but a basic need. Rural communities living far from the national grid, particularly those in the southern region of Pakistan’s Khyber Pakhtunkhwa province, have limited access to a reliable power supply. In order to provide sustainable electricity, small-scale off-grid renewable energy systems are increasingly used for rural electrification. These systems are commonly known as stand-alone home systems or community micro-grids. This paper proposes an off-grid solar–biogas micro-grid for rural communities in the Lakki Marwat district of Khyber Pakhtunkhwa, Pakistan. The area is mainly dependent upon income from the agricultural and livestock sectors. HOMER was used to simulate the electric power system, while RET-Screen was used to analyze the economics of the system. The optimized system’s results demonstrate that the most economically and technically possible system, which produces 515 kWh and 338.50 m3 biogas daily, is made up of a 30-kW photovoltaic system coupled with a 37-kW biomass hybrid system, a 64-kWh battery storage capacity, and a 20-kW invertor. The system will meet the cooking and power needs of 900 individuals who reside in 100 homes. In addition to household users, the system will provide fixed-priced electricity to productive buildings, and free electricity to community buildings. The system will generate 1300 kg of organic fertilizer each day, which will be sold to local farmers for 50% less than what it would cost on the open market. The proposed approach is techno-economically viable based on the payback period and internal rate of return.
- 6 September 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (18) , 11124
Open AccessSolar–Biogas Microgrid: A Strategy for the Sustainable Development of Rural Communities in Pakistan
Access to uninterrupted power is not a luxury but a basic need. Rural communities living far from the national grid, particularly those in the southern region of Pakistan’s Khyber Pakhtunkhwa province, have limited access to a reliable power supply. In order to provide sustainable electricity, small-scale off-grid renewable energy systems are increasingly used for rural electrification. These systems are commonly known as stand-alone home systems or community micro-grids. This paper proposes an off-grid solar–biogas micro-grid for rural communities in the Lakki Marwat district of Khyber Pakhtunkhwa, Pakistan. The area is mainly dependent upon income from the agricultural and livestock sectors. HOMER was used to simulate the electric power system, while RET-Screen was used to analyze the economics of the system. The optimized system’s results demonstrate that the most economically and technically possible system, which produces 515 kWh and 338.50 m3 biogas daily, is made up of a 30-kW photovoltaic system coupled with a 37-kW biomass hybrid system, a 64-kWh battery storage capacity, and a 20-kW invertor. The system will meet the cooking and power needs of 900 individuals who reside in 100 homes. In addition to household users, the system will provide fixed-priced electricity to productive buildings, and free electricity to community buildings. The system will generate 1300 kg of organic fertilizer each day, which will be sold to local farmers for 50% less than what it would cost on the open market. The proposed approach is techno-economically viable based on the payback period and internal rate of return.
- Open Access
- 29 June 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (13) , 7945
Evaluation of Artificial Neural Networks with Satellite Data Inputs for Daily, Monthly, and Yearly Solar Irradiation Prediction for Pakistan
Solar irradiation is the most critical parameter to consider when designing solar energy systems. The high cost and difficulty of measuring solar irradiation makes it impractical in every location. This study’s primary objective was to develop an artificial neural network (ANN) model for global horizontal irradiation (GHI) prediction using satellite data inputs. Three types of ANN, namely, the feed forward neural network (FFNN), cascaded forward neural network (CFNN), and Elman neural network (EMNN), were tested. The findings revealed that altitude, relative humidity, and satellite GHI are the most effective parameters, as they are present in all the best-performing models. The best model for daily GHI prediction was FFNN, which decreased daily MAPE, RMSE, and MBE by 25.4%, 0.11 kWh/, and 0.01 kWh/. The FFNN daily MAPE, RMSE, and MBE values were 7.83%, 0.49 kWh/, and 0.01 kWh/m2/d. The EMNN performed best for monthly and annual prediction, reducing monthly MAPE, RMSE, and MBE by 50.62%, 0.13 kWh/, and 0.13 kWh/, while the reduction for yearly was 91.6%, 0.11 kWh/, 0.2 kWh/. The EMNN monthly MAPE, RMSE, and MBE values were 3.36%, 0.16 kWh/, and 0.16 kWh/, while the yearly values were 0.47%, 0.18 kWh/, and 0.004 kWh/- 29 June 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (13) , 7945
Open AccessEvaluation of Artificial Neural Networks with Satellite Data Inputs for Daily, Monthly, and Yearly Solar Irradiation Prediction for Pakistan
Solar irradiation is the most critical parameter to consider when designing solar energy systems. The high cost and difficulty of measuring solar irradiation makes it impractical in every location. This study’s primary objective was to develop an artificial neural network (ANN) model for global horizontal irradiation (GHI) prediction using satellite data inputs. Three types of ANN, namely, the feed forward neural network (FFNN), cascaded forward neural network (CFNN), and Elman neural network (EMNN), were tested. The findings revealed that altitude, relative humidity, and satellite GHI are the most effective parameters, as they are present in all the best-performing models. The best model for daily GHI prediction was FFNN, which decreased daily MAPE, RMSE, and MBE by 25.4%, 0.11 kWh/, and 0.01 kWh/. The FFNN daily MAPE, RMSE, and MBE values were 7.83%, 0.49 kWh/, and 0.01 kWh/m2/d. The EMNN performed best for monthly and annual prediction, reducing monthly MAPE, RMSE, and MBE by 50.62%, 0.13 kWh/, and 0.13 kWh/, while the reduction for yearly was 91.6%, 0.11 kWh/, 0.2 kWh/. The EMNN monthly MAPE, RMSE, and MBE values were 3.36%, 0.16 kWh/, and 0.16 kWh/, while the yearly values were 0.47%, 0.18 kWh/, and 0.004 kWh/ - Open Access
- 29 April 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (9) , 4519
Heat Transfer Analysis of the Flat Plate Solar Thermal Collectors with Elliptical and Circular Serpentine Tubes
In this study, the heat transfer characteristics of the flat plate collectors with circular and elliptical serpentine tubes are theoretically analyzed and compared in terms of , , , , , , and under various water flow rates and the standard test conditions. The results reveal that the maximum correspondence to the elliptical serpentine design with 56% under turbulent flow, and the minimum of 47% for the circular cross-section under laminar flow. In addition, it was found that the highest useful energy gain per unit time (493.8 W) through the system is possible when , , , and are maximum and vice versa. It was concluded that, at the same area, the larger contact area in the elliptical cross-section compared to the circular would improve and by an average of 2%. Overall, it is crucial to evaluate the thermal parameters of the thermal collector during the preliminary design stage to fabricate a highly efficient system and save time as well as initial cost.- 29 April 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (9) , 4519
Open AccessHeat Transfer Analysis of the Flat Plate Solar Thermal Collectors with Elliptical and Circular Serpentine Tubes
In this study, the heat transfer characteristics of the flat plate collectors with circular and elliptical serpentine tubes are theoretically analyzed and compared in terms of , , , , , , and under various water flow rates and the standard test conditions. The results reveal that the maximum correspondence to the elliptical serpentine design with 56% under turbulent flow, and the minimum of 47% for the circular cross-section under laminar flow. In addition, it was found that the highest useful energy gain per unit time (493.8 W) through the system is possible when , , , and are maximum and vice versa. It was concluded that, at the same area, the larger contact area in the elliptical cross-section compared to the circular would improve and by an average of 2%. Overall, it is crucial to evaluate the thermal parameters of the thermal collector during the preliminary design stage to fabricate a highly efficient system and save time as well as initial cost.