Solar Photovoltaic Systems on Public Schools Buildings: A Case Study in Palestine
Husain Alsamamra,
Jawad Shoqeir
Issue:
Volume 10, Issue 1, January 2021
Pages:
1-5
Received:
22 January 2021
Accepted:
30 January 2021
Published:
9 February 2021
Abstract: Renewable energy exploitation has proved its promising characteristics in sustainably securing energy needs. This work is a comprehensive assessment of the potential of renewable penetration in securing electricity needs in Palestine. Methods of assessment have been determined based on solar potential. Al-Dahriya secondary school in the south Hebron directorate of education was used as a case study, where these building have low working hours all over the year, which will increase the total income of the annual solar energy. AutoCad software simulation program was used to draw the rooftop of the school. The powerful HOMER ProR software was used for the simulation processes of the PV system and its requirements. Results showed that, the rooftop could accommodate 144 panels, with 57.16 KW. This system will produce 92,866 KWh every year, which could be an input of 5.12% of the total annual power consumption in Palestine if this system installed on every school in Palestine, which are in total 3074 schools. Due to the number of working hours and low energy consumption in schools, the payback period of the project will be 4.38 years. The income of the surplus when installing such project on all schools in Palestine will be around 43 million USD to the Palestinian Treasury every year after the payback period.
Abstract: Renewable energy exploitation has proved its promising characteristics in sustainably securing energy needs. This work is a comprehensive assessment of the potential of renewable penetration in securing electricity needs in Palestine. Methods of assessment have been determined based on solar potential. Al-Dahriya secondary school in the south Hebro...
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Improving the Reconfiguration of Hybrid Power Networks by Combining Genetic Algorithm (GA) with Particle Swarm Optimization (PSO)
Ahmed Alshahir,
Richard Molyet
Issue:
Volume 10, Issue 1, January 2021
Pages:
6-14
Received:
25 January 2021
Accepted:
2 February 2021
Published:
10 February 2021
Abstract: Renewable Energy Sources (RESs) have been growing continuously until they become the second source of electricity after coal. However, most of RESs have intermittent nature of electricity production due to the high dependency on some external conditions like weather which changes seasonally. This intermittent nature has a negative impact on security and stability, voltage profile, and increasing the power losses in radial distribution power networks which contain uncertain power sources. Therefore, this paper presents a novel technique based on Genetic Algorithm (GA) combined with Particle Swarm Optimization (PSO). The goal of utilizing the GA is to track the maximum power point of uncertain power sources such as Solar/Photovoltaic (PV) and Wind Turbine (WT). Then, PSO starts its execution to determine the optimum configuration of power networks in order to minimize the power losses, maintain voltage profile, and increase the overall system stability and security. Different test cases are considered for testing different operation conditions. The simulation work has implemented by using MATLAB 2016b software. The results are tested on standard IEEE 33 bus systems and validated with other conventional method to verify the correctness of the proposed technique. Results show a significant improvement in voltage profile, reduction in the power losses, and hence increment in the overall system stability and security.
Abstract: Renewable Energy Sources (RESs) have been growing continuously until they become the second source of electricity after coal. However, most of RESs have intermittent nature of electricity production due to the high dependency on some external conditions like weather which changes seasonally. This intermittent nature has a negative impact on securit...
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