Prefeasibility Study of a Solar Power Plant Project and Optimization of a Meteorological Station Performance

Derouich, W.; Besbes, Mongi; Olivencia, J.D.

doi:10.1016/s1665-6423(14)71607-4

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…A standard feasibility study purpose of FSPV is described subsequently in terms of essential technological, financial data, regulatory requirements, and commercial features. 72 The feasibility study will help understand more detail about the efficiency of the FSPV module, the average performance ratio, and degradation rate. [73][74] The FSPV system's technical design (a) The FSPV system design is outlined.…”

Section: Feasibility Study Of Large Scale Fspv Power Plantmentioning

confidence: 99%

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

Kumar

Majid

2021

Energy & Environment

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The 18,000 square kilometers of water reservoirs in India can generate 280 GW of solar power through floating solar photovoltaic plants. The cumulative installed capacity of FSPV is 0.0027 GW, and the country plans to add 10 GW of FSPV to the 227 GW renewable energy target of 2022. The FSPV addition is small related to the entire market for solar energy, but each contribution is appreciated in the renewable energy market. FSPV could be a viable alternative for speeding up solar power deployment in the country and meeting its NDC targets. So far, the country has achieved the world's lowest investment cost for a floating solar installation. Despite the lower costs, generalizations are still premature because FSPV is still in its initial stages of market entry. Continuous innovation and timely adoption of innovative ideas and technology will support India in meeting its solar energy goals and progressing toward a more sustainable future. Governments must establish clear and enforceable policies to assist developers in reducing risks and increasing investor confidence in the sector. Economic and financial feasibility are examined, and various difficulties in technology, design, finances, environment, maintenance, and occupational health that impact the FSPV deployment are discussed. Based on the research, effective and comprehensive FSPV policy suggestions are included to support establishing an appropriate market, fostering competition and innovation, and attracting large-scale investment. This paper aims to stimulate interest among various policy developers, energy suppliers, industrial designers, ergonomists, project developers, manufacturers, health and safety professionals, executing agencies, training entities, and investment institutions of the FSPV plant to implement effective governance planning and help them to participate in their ways to assure sustainable growth.

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Section: Feasibility Study Of Large Scale Fspv Power Plantmentioning

confidence: 99%

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

Kumar

Majid

2021

Energy & Environment

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“…This availability is corroborated by the estimation of the highest Global Horizontal Irradiation (GHI), i.e., the total amount of direct and diffuse solar radiation at a given location. Therefore, to choose an optimal location for a photovoltaic or CSP power plant, the following parameters must be considered [1]:…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based estimation of PV power plant potential under climate change: a case study of El Akarit, Tunisia

2020

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Background Several climatologists and experts in the renewable energy field agree that GHI and DNI calculation models must be revised because of the increasingly unpredictable and powerful climatic disturbances. The construction of analytical mathematical models for the prediction of these disturbances is almost impossible because the physical phenomena relating to the climate are often complex. We raise the question over the current and future PV system’s sustainable energy production and whether climate disturbances will be affecting this sustainability and resulting in supply decline. Methods In this paper, we tried to use deep learning as a tool to predict the evolution of the future production of any geographic site. This approach can allow for improvements in decision-making concerning the implantation of solar PV or CSP plants. To reach this aim, we have deployed the databases of NASA and the Tunisian National Institute of Meteorology relating to the climatic parameters of the case study region of El Akarit, Gabes, Tunisia. In spite of the colossal amount of processed data that dates back to 1985, the use of deep learning algorithms allowed for the validation of the previously made estimates of the energy potential in the studied region. Results The calculation results suggested an increase in production as it was confirmed by the 2019 measures. The findings obtained from the case study region were reliable and seemed to be very promising. The results obtained using deep learning algorithms were similar to those produced by conventional calculation methods. However, while conventional approaches based on measurements obtained using hardware solutions (ground sensors) are expensive and very difficult to implement, the suggested new approach is cheaper and more convenient. Conclusions In the existence of a protracted controversy over the hypothetical effects of climate change, making advances in artificial intelligence and using new deep learning algorithms are critical procedures to strengthening conventional assessment tools of the production sites of photovoltaic energy and CSP plants.

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“…The solar plant optimization of large‐scale has already been widely studied and presented . Notably, a reference book deals essentially with the handling of the solar intensity fluctuations on an automatism point of view, on the basis of constant output temperature for the control of large‐scale steam turbines, with or without thermal storage.…”

Section: Introductionmentioning

confidence: 99%

Steady state operation exergy‐based optimization for solar thermal collectors

Grosu

Mathieu

Rochelle

et al. 2019

Env Prog and Sustain Energy

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In this investigation, exergy-based optimization was carried out on two configurations of solar thermal collectors. A set of control sensors were utilized to control the performance of the system and monitor the design variables, that is, inlet and outlet temperature of the solar fluid, ambient temperature, incident solar flux, and required mechanical and electrical work in the system. The fluid temperature was considered to vary in the range of 120-180 C with respect to technical and economic considerations. The collector surface area was considered 606 m 2 in both configurations, and a medium solar incident was considered about 520 W/m 2 . The maximum acceptable temperature difference is obtained as function of the input temperature. The technical limitation is plotted for both configurations of solar collectors. It was noticed that the exergy flow of simple evacuated tubes can reach the maximum value when the input temperature is greater than 115 C for an incident solar flow, from 250 W/m 2 up to the limit of 950 W/m 2 . Exergy analysis demonstrated that more control is required on the temperature control to obtain the optimum performance of the solar collector. Thus, applying exergy optimization approach can be very useful to guide control system, the maximum outlet temperature being a key variable on the performance of the collectors.

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Prefeasibility Study of a Solar Power Plant Project and Optimization of a Meteorological Station Performance

Cited by 10 publications

References 28 publications

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

Deep learning-based estimation of PV power plant potential under climate change: a case study of El Akarit, Tunisia

Steady state operation exergy‐based optimization for solar thermal collectors

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