Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market

2012 ◽  
Vol 4 (5) ◽  
pp. 053120 ◽  
Author(s):  
Naveen Kumar Sharma ◽  
Yog Raj Sood
Keyword(s):  
Electricity Generation ◽  
Solar Power ◽  
Power Market ◽  
Competitive Power

Effects of geographical and technological diversification on the development of spatially disaggregated wind and solar power market values  

2021 ◽  
Author(s):  
Manuel Eising ◽  
Hannes Hobbie ◽  
Dominik Möst
Keyword(s):  
Wind Energy ◽  
Solar Power ◽  
Negative Relationship ◽  
Market Value ◽  
Power Market ◽  
Offshore Wind ◽  
Onshore Wind ◽  
Market Values ◽  
Technological Diversification ◽  
Geographical Diversification

<p><strong>Keywords</strong>: Market value, Technological diversification, Geographical diversification, Spatial value factor distribution</p><p>Ambitious climate and energy targets require environmentally compatible energy generation with a high utilisation of renewable energy sources. However, due to the intermittent appearance of wind and PV feed-in, variable renewable energy (VRE) reveals significantly lower market values than conventional dispatchable power (Joskow, 2011). Additionally, with higher VRE shares a significant market value drop of wind and solar power has been observed in recent years as a result of the merit order effect (Hirth, 2013). Moreover, results by Engelhorn and Müsgens (2018) and Becker and Thrän (2018) have indicated regional disparities in empirical market values for Germany.  This poses interest on what exactly drives and how to quantify the development and spatial distribution of VRE market values.</p><p>Against this background, an electricity market model is applied to trace the development of spatial market values based on model-endogenous electricity prices. A special feature of the model is the inclusion of highly regionally disaggregated weather data which allows to investigate effects of different geographical and technological VRE diversification strategies in Germany until 2035 (Eising et al., 2020). The results of this research are threefold:</p><ul><li>Technological diversity: results show a significant decrease in PV and onshore wind value factors as VRE shares increase. Replacing onshore wind energy by offshore wind energy reduces the volatility and counteracts the value drop of onshore wind, offshore wind and PV.</li> <li>Geographical diversity: results indicate that geographical diversification does not necessarily mitigate decreasing VRE value factors. Under specific circumstances, a higher concentration at sites with lower full-load hours and corresponding higher feed-in volatility potentially mitigates positive effects from more spatially distributed generation.</li> <li>Spatial distribution of value factors: for all mitigation strategies and for wind and PV the spatial value factor distribution shows future increases in regional disparities. However, regional value factor disparities are most distinct in case of onshore wind. The analysis reveals two significant drivers: first, a negative relationship between the regional wind capacity density and their regional value factors can be observed. Second, results indicate a negative relationship between site-specific wind feed-in volatility and the value factor.</li> </ul><p> Summarising, the analysis highlights the importance of considering spatial market values in efficiently designing future electricity markets.  </p><p> </p><p><strong>References</strong></p><p>Becker, R., Thrän, D., 2018. Optimal Siting of Wind Farms in Wind Energy Dominated Power Systems. Energies 11, 978. https://doi.org/10.3390/en11040978</p><p>Eising, M., Hobbie, H., Möst, D., 2020. Future wind and solar power market values in Germany — Evidence of spatial and technological dependencies? Energy Econ. 86, 104638. https://doi.org/10.1016/j.eneco.2019.104638</p><p>Engelhorn, T., Müsgens, F., 2018. How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany. Energy Econ. 72, 542–557. https://doi.org/10.1016/j.eneco.2018.04.022</p><p>Hirth, L., 2013. The market value of variable renewables: The effect of solar wind power variability on their relative price. Energy Econ. 38, 218–236.</p><p>Joskow, P.L., 2011. Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies. Am. Econ. Rev. 101, 238–241.</p>

scholarly journals Solar power technology for electricity generation: A critical review

2018 ◽  
Vol 6 (5) ◽  
pp. 340-361 ◽  
Author(s):  
Mohammad Hossein Ahmadi ◽  
Mahyar Ghazvini ◽  
Milad Sadeghzadeh ◽  
Mohammad Alhuyi Nazari ◽  
Ravinder Kumar ◽  
...  
Keyword(s):  
Critical Review ◽  
Electricity Generation ◽  
Solar Power

scholarly journals Pilot Low-Cost Concentrating Solar Power Systems Deployment in Sub-Saharan Africa: A Case Study of Implementation Challenges

2020 ◽  
Vol 12 (15) ◽  
pp. 6223
Author(s):  
Emmanuel Wendsongre Ramde ◽  
Eric Tutu Tchao ◽  
Yesuenyeagbe Atsu Kwabla Fiagbe ◽  
Jerry John Kponyo ◽  
Asakipaam Simon Atuah
Keyword(s):  
Electricity Generation ◽  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
Low Cost ◽  
Sub Saharan Africa ◽  
Tracking Systems ◽  
Concentrating Solar Power ◽  
Solar Power Plants ◽  
Sub Saharan

Electricity is one of the most crucial resources that drives any given nation’s growth and development. The latest Sustainable Development Goals report indicates Africa still has a high deficit in electricity generation. Concentrating solar power seems to be a potential option to fill the deficit. That is because most of the components of concentrating solar power plants are readily available on the African market at affordable prices, and there are qualified local persons to build the plants. Pilot micro-concentrating solar power plants have been implemented in Sub-Saharan Africa and have shown promising results that could be expanded and leveraged for large-scale electricity generation. An assessment of a pilot concentrating solar power plant in the sub-region noticed one noteworthy obstacle that is the failure of the tracking system to reduce the operating energy cost of running the tracking control system and improve the multifaceted heliostat focusing behavior. This paper highlights the energy situation and the current development in concentrating solar power technology research in Africa. The paper also presents a comprehensive review of the state-of-the-art solar tracking systems for central receiver systems to illustrate the current direction of research regarding the design of low-cost tracking systems in terms of computational complexity, energy consumption, and heliostat alignment accuracy.

Sign in / Sign up

Export Citation Format

Share Document