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Since Jordan started the solar PV installation in 2012, the demand for solar PV operation and maintenance (O&M) services increased, driven by aging systems requiring inverter replacements (every 8-10 years) and system optimization.
According to annual reports by Jordan’s grid operators, the total installed on-grid solar PV capacity reached 2,073.86 MW by the end of 2024. This capacity is divided as follows: Distribution System Operators (DSOs): 1,081.86 MW across 74,145 projects. Transmission System Operator (TSO): 992 MW. The largest DSO-managed installations were by:
The commercial sector faces higher grid fees of 13 JD ($18.3 USD) per kWac/month, reducing the economic viability of installations. In September 2024, Jordan’s Council of Ministers lifted the cap on solar PV project sizes, enabling large-scale installations.
Jordan’s geographical location has a substantial impact on its potential for harnessing renewable energy, particularly solar energy. Positioned at the heart of the Middle East, Jordan benefits from its strategic placement in a region abundant in solar irradiance .
L. Prakash et al. (Shah et al., 2022) created an independent photovoltaic stimulated strong wind electrical generator for off-grid applications in India that reduces system costs and improves hybrid model system performance.
“Scrutiny of PV biomass stand-alone hybrid system for rice mill electrification,” in Deregulated electricity market (Apple Academic Press), 135–152. Sawle, Y., Gupta, S. C., and &Bohre, A. K. (2017). Optimal sizing of standalone PV/Wind/Biomass hybrid energy system using GA and PSO optimization technique.
The abundance of availability of renewable energy in the environment in distinct forms like solar, wind, and biomass can be configured with battery banks that enhance the hybrid system’s efficiency and dependability (Diaf et al., 2007).
In this study, an off-grid PV-wind-biomass hybrid model for the remote community of Barwani, Madhya Pradesh, India, is explored for the best solution and innovative proper evaluation with two alternative methods (demand flowing and cycle charging) using GA and particle swarm optimization (PSO).
Compressed air energy storage (CAES) is one of the many energy storage options that can store electric energy in the form of potential energy (compressed air) and can be deployed near central power plants or distribution centers. In response to demand, the stored energy can be discharged by expanding the stored air with a turboexpander generator.
In times of excess electricity on the grid (for instance due to the high power delivery at times when demand is low), a compressed air energy storage plant can compress air and store the compressed air in a cavern underground. At times when demand is high, the stored air can be released and the energy can be recuperated.
For example, the state of Kansas has facilitated these processes with their Compressed Air Energy Storage Act , effective since 2009. A study that reports on promising locations, permitting processes and challenges, and mitigating solutions would help developers navigate these issues during the planning phase.
A study numerically simulated an adiabatic compressed air energy storage system using packed bed thermal energy storage. The efficiency of the simulated system under continuous operation was calculated to be between 70.5% and 71%.
