Management of Electrical Network with PV System and Genset, case study "An-Najah Hospital"
جلاد, أحمد نبهان عبد الرزاق
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This thesis is based on searching for solutions and alternatives, which in turn may help overcome, solve and reduce the impact of all the obstacles and challenges that face, or may face the electricity networks in Palestine, including challenges such as supply constraints and lack of energy constraints, especially the problem of increasing demand during times of peak demand, and having the electrical current cut off because of that. It is also based on thinking carefully about how to minimize the impact and consequences of these challenges in different ways, whether economic, or non-economic, depending on the available conditions to achieve results that reduce the lack of capacity and help in solving the problems of high demand in the period of the load peak, through analyzing each of the challenges which encounter the electricity networks in Palestine, specifying all the methods of energy management and development, also through using and showing all the methodologies which may help in reducing the electrical capacity and the electrical consumption; by taking samples and places as case studies to help in analyzing, and reaching results. As in the case of An-Najah National University Hospital in Nablus, whose daily load was studied, and it was thought about applying all possible and available conservation methods, all possible energy management methodologies and the application of different tariff systems, such as the TOU tariff . That would happen just if applying the peak management steps, which are suggested in this thesis, and try to cover the load peak period by using generators and solar cells connected to the grid or unconnected, to get the best option and the lowest cost of energy production, which was estimated with 75% of the solar cells in the presence of the network, without the need to use energy storing batteries, and so the same result through 25% load feeding by using electric diesel generators and 75% of solar cell systems for independent systems not connected to the network.