“…The integration cost of VRE differs significantly in the literature, depending on the research target, system boundary, main assumptions, and power system features. There are two main categories of VRE integration costs: estimates from the market price of VRE and estimates from power system modeling [79]. Our study investigates the limits of the VRE capacity, while there is no operational market, so our calculations follow the power system modeling way.…”
Section: Technical Analysis Of Electricity Production Scenariosmentioning
The progressive use of renewable energy sources to ensure a continuous and abundant energy supply is the significant target towards a sustainable and secure energy system. Previously, the countries that had relied on fossil fuel as a dominating energy source are now endorsing energy system transition towards renewable energy sources. In this study, a comparative assessment of the energy problems of South Asian countries is summarized. Nevertheless, there are many similarities and differences in the electricity supply system of these countries. Long-term planning for renewable energy development is suggested for a diverse population and dispersed geographical location considering all the significant challenges. However, appropriate schemes are imperative for integrating significant renewable energy sources. This study introduces a foresight plan of the electricity model according to the demand and supply balance for extensive technical analysis. The EnergyPLAN modeling tool was employed to work out a more ambitious VRE integration scenario than the official plans. The reference model was validated according to legitimate and authentic data, and then, the technically most feasible renewable energy-based alternate scenario was built. The additional grid integration cost of variable renewable energy was quantitatively investigated for comprehensive power system modeling for a real-time economic analysis. The results may be adapted and support developing more sustainable power generation serving 1787 million in South Asian countries.
“…The integration cost of VRE differs significantly in the literature, depending on the research target, system boundary, main assumptions, and power system features. There are two main categories of VRE integration costs: estimates from the market price of VRE and estimates from power system modeling [79]. Our study investigates the limits of the VRE capacity, while there is no operational market, so our calculations follow the power system modeling way.…”
Section: Technical Analysis Of Electricity Production Scenariosmentioning
The progressive use of renewable energy sources to ensure a continuous and abundant energy supply is the significant target towards a sustainable and secure energy system. Previously, the countries that had relied on fossil fuel as a dominating energy source are now endorsing energy system transition towards renewable energy sources. In this study, a comparative assessment of the energy problems of South Asian countries is summarized. Nevertheless, there are many similarities and differences in the electricity supply system of these countries. Long-term planning for renewable energy development is suggested for a diverse population and dispersed geographical location considering all the significant challenges. However, appropriate schemes are imperative for integrating significant renewable energy sources. This study introduces a foresight plan of the electricity model according to the demand and supply balance for extensive technical analysis. The EnergyPLAN modeling tool was employed to work out a more ambitious VRE integration scenario than the official plans. The reference model was validated according to legitimate and authentic data, and then, the technically most feasible renewable energy-based alternate scenario was built. The additional grid integration cost of variable renewable energy was quantitatively investigated for comprehensive power system modeling for a real-time economic analysis. The results may be adapted and support developing more sustainable power generation serving 1787 million in South Asian countries.
“…Several a ssumptions were necessary due to data limitations and also to make results comparable across the country case studies: (a) baseline capacity factor is assumed to be 60% for all existing coal plants to maintain comparability; (b) the commissioning year of the plant is determined by the oldest operating unit; (c) additional transmission costs to connect renewable energy and grid balancing costs are ignored that may in fact be quite significant at higher level of renewable penetration [29] this assumption in a way offsets for the fact that capital costs for existing coal is treated as sunk; (d) no carbon tax is imposed on the generation; (e) all costs are in USD (2020 value).…”
Decarbonizing the power sector forms a critical part of the global combat against climate change. This requires inter alia retirement of the global coal power plant fleet of 2,100 GW. Although a significant part of this capacity is aging, there are complex issues that need to be addressed including the economic viability of existing coal plants in some countries relative to renewable projects and barriers to exit of coal. We have used detailed power plant level operational cost data for ten developing countries with significant share of coal and compared these with levelized cost of renewables, to demonstrate that competitiveness of coal varies significantly across different geographies. Countries like India where renewable projects have been highly competitive and there is an aging fleet of coal plants many of which are far away from mines, are already highly uncompetitive. On the other hand, countries like South Africa that have relatively inexpensive coal plants, but the average cost of renewable projects have not yet dropped sufficiently (as of 2020), will require special efforts to phase out coal completely beyond plants that have reached, or gone well past their technical life. Accelerated retirement of coal would require a new business model that allows repurposing some of these sites for alternative usage including generation from renewables, conversion of the incumbent generator into a synchronous condenser coupled with a fly wheel to provide reactive power and inertia; and installation of energy storage systems. As a repurposed coal plant for energy related activities can retain part of the workforce, it can also address some of the complex social issues. In order to develop a comprehensive repurposing program a t a national level, the process needs to follow a leastcost planning methodology to identify prospective coal plant candidates for repurposing and then undertake a cost-benefit analysis of individual projects. We have demonstrated this methodology using a case study for Morocco.
“…Solar photovoltaics and wind turbines are the most widely used RE sources in the existing body of literature [19][20][21][22]. Their abundance and comparatively lower costs make them superior to other RE sources such as hydrothermal, bio-thermal, and tidal waves [23].…”
Recently, many renewable energy (RE) initiatives around the world are based on general frameworks that accommodate the regional assessment taking into account the mismatch of supply and demand with pre-set goals to reduce energy costs and harmful emissions. Hence, relying entirely on individual assessment and RE deployment scenarios may not be effective. Instead, developing a multifaceted RE assessment framework is vital to achieving these goals. In this study, a regional RE assessment approach is presented taking into account the mismatch of supply and demand with an emphasis on Photovoltaic (PV) and wind turbine systems. The study incorporates mapping of renewable resources optimized capacities for different configurations of PV and wind systems for multiple sites via test case. This approach not only optimizes system size but also provides the appropriate size at which the maximum renewable energy fraction in the regional power generation mix is maximized while reducing energy costs using MATLAB's ParetoSearch algorithm. The performance of the proposed approach is tested in a realistic test site, and the results demonstrate the potential for maximizing the RE share compared to the achievable previously reported fractions. The results indicate the importance of resource mapping based on energydemand matching rather than a quantitative assessment of anchorage sites. In the examined case study , the new assessment approach led to the identification of the best location for installing a hybrid PV / wind system with a storage system capable of achieving a nearly 100% autonomous RE system with Levelized cost of electricity of 0.05 USD/kWh.
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