Techno-economic analysis of solar parabolic trough type energy system for garment zone of Jaipur city

Mathur, Anuj; Agrawal, Ghanshyam Das; Chandel, Mevin

doi:10.1016/j.rser.2012.09.015

Cited by 17 publications

(4 citation statements)

References 4 publications

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“…This analysis included studying the system exergy and energy in India. As a recent work, Mathur G.D. [31] has studied using linear parabolic mirrors from an economic point of view. Then, four scenarios were examined showing that the best scenario had a return of capital by 3.5 years.…”

Section: Introductionmentioning

confidence: 99%

Comparative 4E analysis for solar desalinated water production by utilizing organic fluid and water

Mokhtari

Ahmadisedigh²,

Ebrahimi

2016

Desalination

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Section: Introductionmentioning

confidence: 99%

Comparative 4E analysis for solar desalinated water production by utilizing organic fluid and water

Mokhtari

Ahmadisedigh²,

Ebrahimi

2016

Desalination

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“…Although the discount rate for the CSP technology is relatively high for now, it is expected to decline in the future as CSP markets develop and the related technologies become more mature. Some studies in the literature [49,54,55] claimed that the discount rate is one of the most significant variables affecting the LCOE of the CSP systems, which reflects the risk-adjusted opportunity of capital investment. Figure 10 shows that the present value of LCOE under reference conditions rises about 35% when the discount rate increases from 10% to 15%.…”

Section: Scenariomentioning

confidence: 99%

LCOE Analysis of Tower Concentrating Solar Power Plants Using Different Molten-Salts for Thermal Energy Storage in China

Zhuang

Liu

et al. 2019

Energies

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In recent years, the Chinese government has vigorously promoted the development of concentrating solar power (CSP) technology. For the commercialization of CSP technology, economically competitive costs of electricity generation is one of the major obstacles. However, studies of electricity generation cost analysis for CSP systems in China, particularly for the tower systems, are quite limited. This paper conducts an economic analysis by applying a levelized cost of electricity (LCOE) model for 100 MW tower CSP plants in five locations in China with four different molten-salts for thermal energy storage (TES). The results show that it is inappropriate to build a tower CSP plant nearby Shenzhen and Shanghai. The solar salt (NaNO3-KNO3, 60-40 wt.%) has lower LCOE than the other three new molten-salts. In order to calculate the time when the grid parity would be reached, four scenarios for CSP development roadmap proposed by International Energy Agency (IEA) were considered in this study. It was found that the LCOE of tower CSP would reach the grid parity in the years of 2038–2041 in the case of no future penalties for the CO2 emissions. This study can provide support information for the Chinese government to formulate incentive policies for the CSP industry.

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“…Note that our model estimates the cost of solar electricity during the whole lifetime of the system, whilst other models do not do it with such a detail for the period 2012-2050. [6][7][8] In order to allow the comparison between actual and future costs, this model uses constant (real) 2012 US dollars and thus the effects of the nominal inflation are removed. Due to their dominant market position, PV crystalline-silicon and CSP parabolic trough systems have been taken as the reference systems to calculate the cost of solar electricity.…”

Section: Model For the Calculation Of Pv And Csp Electricity Costmentioning

confidence: 99%

Main parameters influencing present solar electricity costs and their evolution (2012–2050)

Hernández-Moro¹,

Martı́nez-Duart²,

Guerrero‐Lemus³

2013

Journal of Renewable and Sustainable Energy

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A mathematical model has been developed for the calculation of the future evolution of solar electricity costs, which is mainly based on the predicted cumulative installed power between 2012 and 2050. The model can be applied to both photovoltaic (PV) and concentrating solar power (CSP) technologies. According to our model, the equation giving the yearly cost evolution of the electricity depends on several input variables, among them are the cumulative installed capacity q(t), the solar resource, the cost of the systems, operation and maintenance costs, learning rate, lifetime of the systems, financial discount rates, etc. The specific values of q(t) are taken from the two main roadmaps contemplated by the International Energy Agency (IEA): the 2008 BLUE Maps for PV and CSP, and the 2010 Technology Roadmaps for PV and CSP. An important contribution of our model is that the results calculated for the evolution of costs, as well as the years in which grid parities are reached, show a significant dependence, not only on the particular values of q(t) in the targeted years but also on the specific curved time-paths followed in the q(t) vs t plane. Since our model calculates the cost evolution by means of a closed equation, it allows to directly plot the future yearly evolution of the cost of the electricity for any value of the independent variables.

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Techno-economic analysis of solar parabolic trough type energy system for garment zone of Jaipur city

Cited by 17 publications

References 4 publications

Comparative 4E analysis for solar desalinated water production by utilizing organic fluid and water

Comparative 4E analysis for solar desalinated water production by utilizing organic fluid and water

LCOE Analysis of Tower Concentrating Solar Power Plants Using Different Molten-Salts for Thermal Energy Storage in China

Main parameters influencing present solar electricity costs and their evolution (2012–2050)

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