فهرست مقالات Renewable energy systems

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  1 - Assessment of Wind Energy Potential in Green-Mountain, Libya
  Saad Alfalahi Walaa Mahdi Sabah Alwatar Mohammed Abdulhadi Aiman Nouh
  10.22094/joie.2023.1997285.2104
  Abstract:The annual capacity additions from renewable sources across the globe are growing at a rapid rate. Considering the efforts made by the international community to mitigate the effects of global warming, it is anticipated that it will continue to rise. As a resul چکیده کامل

  Abstract:The annual capacity additions from renewable sources across the globe are growing at a rapid rate. Considering the efforts made by the international community to mitigate the effects of global warming, it is anticipated that it will continue to rise. As a result, many nations across the globe are increasing their installed capacities by capitalizing on renewable resources, such as wind resources, in order to satisfy the rising demand for electrical power. In the first part of this study, a wind resource assessment is carried out to determine the wind potential at several different places in the Green Mountain Province, which is in the northeastern part of Libya. The sites with valuable annual wind speed frequency distribution and power density are then evaluated further to determine the technological features required for a wind farm to be constructed there. Wind turbines are chosen based on their power characteristic curves, and those curves must match the resultant wind distribution. To determine the system's financial and technical parameters, the data from the most prominent site are analyzed using two different processing technologies, both of which implement the Weibull Distribution Model. The findings indicate the possibility of implementation at least at two locations, with hub heights of 10 and 50 meters, respectively. پرونده مقاله
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  2 - Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm
  Farhad Nourozi Navid Ghardash khani
  The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model چکیده کامل

  The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment. پرونده مقاله