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Hybrid renewable energy systems (HRES) are gaining high interest in supplying electric energy for remote communities. Energy storage systems (ESS) are utilized by green autonomous HRESs to accommodate the variability of renewable resources such as wind and solar energy systems. The lack of any traditional energy source is adding a great reliability challenge which should be compensated using expensive ESS. This challenge can be avoided by using a pumped hydro energy storage system (PHES) in harmony with batteries. The PHES is an excellent option to be used in NEOM city due to the perfect topographical characteristic of this site. The minimum cost of energy and the highest reliability is used as an objective for sizing the proposed entire green HRES. Using smart grid principles (SGP) and demand‐side management (DSM) in the design and operation stages will minimize system size and cost, which can result in a significant reduction in consumer bills. As a result, this paper introduces an innovative DSM based on a dynamic tariff. The suggested DSM technique was developed utilizing a unique fuzzy logic that takes into account the present and day‐ahead ESS situations to intelligently determine the ideal tariff for the lowest cost and maximum reliability of the HRES. This paper introduces a modified grey wolf optimization (MGWO) technique to shorten convergence time while preserving the best accuracy. The suggested MGWO is assessed against 10 swarm optimization techniques. The payback period of the project is 7 years. The findings acquired from this unique program demonstrated its superiority, with conversion times reduced by 22% to 80% when compared to previous optimization procedures. Furthermore, as compared to the flat rate pricing tariff, the usage of the dynamic tariff lowered the LCOE by 53%. [ABSTRACT FROM AUTHOR]

Utilizing renewable energy (RE) sources can provide a realistic answer to the problem of many nations' energy needs. This paper reviews the current status of using RE to produce electricity in the Kingdom of Saudi Arabia (KSA). The primary aim of the review is to identify and analyze the solar- and wind-energy utilization, problems, and future trends in KSA while taking into account all relevant aspects, associated development hurdles, and suggested solutions. All involved parties will receive useful results and conclusions from a thorough examination and analysis of the pertinent literature that can assist them in understanding the potential of solar and wind energy, considering all the linked issues. [ABSTRACT FROM AUTHOR]

Saudi Arabia plans to shift a large portion of its domestic energy production away from fossil fuel towards solar energy by 2030. Yet, the solar energy pool is mainly targeting photovoltaic technology. This study analyzes the potential of cleaner energy production from solar energy using concentrated solar power technology. First, different locations for concentrated solar power technology deployment are assessed based on potential development opportunities, solar resources, and infrastructure. Second, the paper assesses the performance and financial feasibility of four concentrated solar power technologies using the capacity factor, levelized cost of energy, and energy yield. The analysis indicates that all the considered locations are suitable for concentrated solar power technologies with a preference for the NEOM city located in the northern region of Saudi Arabia. The simulation results revealed that solar tower technology produces the highest energy yield of 2738 kWh/kW. The levelized cost of energy for the four technologies varies between 14.54 and 22.67 ¢/kWh, with linear Fresnel demonstrating the lowest and parabolic trough exhibiting the highest levelized cost of energy. [ABSTRACT FROM AUTHOR]