Effect of heliostat design wind speed on the levelised cost of electricity from concentrating solar thermal power tower plants

Emes, Matthew; Nathan, Graham J.

doi:10.1016/j.solener.2015.02.047

Cited by 43 publications

(13 citation statements)

References 19 publications

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“…Also has cost projections for 2020 from US$ 0.06 and 0,12.kWh -1 , where will be decisive a cost reduction in solar thermal plants, and the heliostat field is the key element to achieve this goal (REN, 2014;HINKLEY et al, 2013;EMES et al, 2015) . Solar thermal energy without concentration (fluid heating) is also under constant increase in capacity and was added on the global stage in 2013, 57.1 GWth, leading to a total of 330 GWth already installed worldwide.…”

Section: Solar Energy and Its Ways Of Applyingmentioning

confidence: 99%

Solar Energy and Its Global Investments

Toniazzo

Klajn

Nogueira

et al. 2017

R. bras. Ener. Renov.

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This study aimed to analyze the research about solar energy on a global scale over the past five years, in order to identify the way to apply this source of energy and which countries are participating in the solar area investigation. In this context the scientific journals publications on solar energy of the last five years (2010)(2011)(2012)(2013)(2014)(2015) were analyzed, focusing on renewable energies and as selection criteria, the Impact Factor (IF) was adopted. The articles were

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Section: Solar Energy and Its Ways Of Applyingmentioning

confidence: 99%

Solar Energy and Its Global Investments

Toniazzo

Klajn

Nogueira

et al. 2017

R. bras. Ener. Renov.

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“…Beam deviation and misalignment of the heliostat mirror during high wind conditions can cause larger deflections, leading to significant losses in optical efficiency. Improving the rigidity of heliostat designs increases optical efficiency at the expense of higher cost of materials in their manufacture (14). Statistical analysis of mean wind speed and DNI data and quasi-static wind loads has indicated that the LCOE of tower plants can be reduced by as much as 18% by lowering the design wind speed at which heliostats are moved to the stow position during windy conditions (14).…”

Section: Aerodynamics and Wind Loadsmentioning

confidence: 99%

“…Improving the rigidity of heliostat designs increases optical efficiency at the expense of higher cost of materials in their manufacture (14). Statistical analysis of mean wind speed and DNI data and quasi-static wind loads has indicated that the LCOE of tower plants can be reduced by as much as 18% by lowering the design wind speed at which heliostats are moved to the stow position during windy conditions (14). The optimal heliostat size was found to decrease from 50 m 2 to 25 m 2 when the design wind speed increases from 10 m/s to 20 m/s, however there is a trade-off between site-specific designs and a more robust design that is applicable at all practical sites.…”

Section: Aerodynamics and Wind Loadsmentioning

confidence: 99%

Development of the ASTRI heliostat

Coventry

Arjomandi

Barry

et al. 2016

AIP Conference Proceedings

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Abstract. The Australian Solar Thermal Research Initiative (ASTRI) aims to develop a high optical quality heliostat with target cost -manufactured, installed and operational -of 90 AUD/m². Three different heliostat design concepts are described, each with features identified during a prior scoping study as having the potential to contribute to cost reduction compared to the current state-of-the-art. The three concepts which are being developed will be down-selected to a single concept for testing in late 2016. The heliostat concept development work is supported by technology development streams, developing novel sandwich panel mirror facet structures, analysing and testing wind loads on heliostats in both stow and operation positions, and developing new heliostat field layouts and software tools for optical analysis of heliostats design concepts.

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“…What is more, because of the severe pressure from the international community to reduce carbon emissions, China has started to focus on generating power from renewable energy [2]. Of all the renewable energy, solar energy is arguably one of the most favorable solutions for the green power generation and concentrating solar power (CSP) technologies are expected to be the most promising technologies that are capable of large-scale electricity production [3][4][5]. It is estimated that CSP could meet approximately 11% of the global demand for electricity by 2050 [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm

Zhai

Yang

2017

Energies

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Of all the renewable power generation technologies, solar tower power system is expected to be the most promising technology that is capable of large-scale electricity production. However, the optimization of heliostat field layout is a complicated process, in which thousands of heliostats have to be considered for any heliostat field optimization process. Therefore, in this paper, in order to optimize the heliostat field to obtain the highest energy collected per unit cost (ECUC), a mathematical model of a heliostat field and a hybrid algorithm combining particle swarm optimization algorithm and genetic algorithm (PSO-GA) are coded in Matlab and the heliostat field in Lhasa is investigated as an example. The results show that, after optimization, the annual efficiency of the heliostat field increases by approximately six percentage points, and the ECUC increases from 12.50 MJ/USD to 12.97 MJ/USD, increased about 3.8%. Studies on the key parameters indicate that: for un-optimized filed, ECUC first peaks and then decline with the increase of the number of heliostats in the first row of the field (Nhel 1 ). By contrast, for optimized field, ECUC increases with Nhel 1 . What is more, for both the un-optimized and optimized field, ECUC increases with tower height and decreases with the cost of heliostat mirror collector.

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Effect of heliostat design wind speed on the levelised cost of electricity from concentrating solar thermal power tower plants

Cited by 43 publications

References 19 publications

Solar Energy and Its Global Investments

Solar Energy and Its Global Investments

Development of the ASTRI heliostat

Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm

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