Assessment of capacity factor and dispatch flexibility of concentrated solar power units

Dallmer-Zerbe, Kilian; Bucher, Matthias; Ulbig, Andreas; Andersson, Göran

doi:10.1109/ptc.2013.6652252

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…At the same, energy system will benefit by this kind of technology, contaminate emissions decrease, electrical trade reliability and renewable energies, will be evident across de world. [3]- [6]. Within advantages it's found accessible cost, high concentration, thermal storage wherewith the system works full power, even if solar radiation is not available for hours [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Thermal Analysis of a CCP Collector System Based on Fractal Architecture: Receiver Proposal

2019

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Solar concentrator technology has been researches in different fields in order to enhancement efficiency and energy storage of these systems. Some changes in fluid and numerous components of the collectors has been proposed in recent years. In this context, this paper present results associates to the modeling and thermal analysis of a concentrating system based on parabolic through collector with receiver piper, designed with fractal geometry with the aim of improve system heat transfer. Founded on thermal modeling of heat transfer phenomena as radiation, convection and conduction, physical and mathematical relations between fractal geometrical parameters and transfer heat coefficient were established to find the influence of a chaotic structure on thermal behavior. Proposed designs were simulated through Solid works ® Flow Simulation tool. Was possible obtain maximum temperatures in air with fractal and cylindrical pipes of de 89°C, 86°C y 81°C respectively. The gap between fractal geometry results and cylindrical geometry is 10°C around.

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Section: Introductionmentioning

confidence: 99%

Modeling and Thermal Analysis of a CCP Collector System Based on Fractal Architecture: Receiver Proposal

2019

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“…According to the International Energy Agency (IEA), by 2050, the world's CSP capacity will account for 11.3% of the world's total power generation capacity [13]. A CSP plant can use solar energy without increasing the grid uncertainty, which makes it a dispatchable resource for continuous and stable power generation [14]. More importantly, a CSP plant with a fast ramp rate and short downtime/uptime has better regulation characteristics than a thermal unit [15], [16].…”

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confidence: 99%

Coordinated Operation of Concentrating Solar Power Plant and Wind Farm for Frequency Regulation

Fang

Zhao

Wang

et al. 2021

Journal of Modern Power Systems and Clean Energy

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As a dispatchable renewable energy technology, the fast ramping capability of concentrating solar power (CSP) can be exploited to provide regulation services. However, frequent adjustments in real-time power output of CSP, which stems out of strategies offered by ill-designed market, may affect the durability and the profitability of the CSP plant, especially when it provides fast regulation services in a real-time operation. We propose the coordinated operation of a CSP plant and wind farm by exploiting their complementarity in accuracy and durability for providing frequency regulation. The coordinated operation can respond to regulation signals effectively and achieve a better performance than conventional thermal generators. We further propose an optimal bidding strategy for both energy and frequency regulations for the coordinated operation of CSP plant and wind farm in day-ahead market (DAM). The validity of the coordinated operation model and the proposed bidding strategy is verified by a case study including a base case and sensitivity analyses on several impacting factors in electricity markets.

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“…Therefore, CSP has reshaped the way we can utilize renewable energy. It makes renewable energy highly dispatchable [21]. A number of studies have reported the operation of CSP plant with TES, and it has been shown that CSP may earn more profits in the electricity market [22], [23], with benefits in terms of the reliability of power systems [24].…”

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confidence: 99%

Reducing Generation Uncertainty by Integrating CSP With Wind Power: An Adaptive Robust Optimization-Based Analysis

Chen

Sun

Guo

et al. 2015

IEEE Trans. Sustain. Energy

107

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The uncertainty of wind power generation brings problems in power system operation, such as requiring more reserves and possible frequency issues. In this paper, we propose an idea of combining concentrating solar power (CSP) plants with wind farms to reduce the overall uncertainty in the joint power output. Taking advantage of the dispatchability of CSP, the uncertainty of joint power generation is expected to decrease. Based on the operational model of CSP plants with thermal storage system, we search for the narrowest but robust bounds of the joint power output with a given uncertainty of the wind power output and solar power availability, and within operational constraints of CSP plants. The problem is formulated as an adaptive robust optimization (RO) problem, containing mixed-integer variables at the second stage. We introduce an algorithm that combines a nested column-and-constraint generation (C-CG) method and an outer approximation (OA) method to solve the problem. The case studies show that robust intervals for the joint power output can be obtained, and the obtained intervals can be significantly narrower than the original intervals of wind power.Index Terms-Adaptive robust optimization (RO), concentrating solar power (CSP), thermal energy storage, uncertainty, wind power. NOMENCLATUREA. Indices, parameters, and sets E th min , E th max Minimum and maximum storage levels of the TES system. E w , E w − Upper and lower bounds of the total energy of the uncertain wind power in the period of consideration. N w Number of wind farms. N CSP Number of CSP plants. P c max , P d max Maximum charge and discharge rates of the TES system. P e min , P e max Minimum and maximum electrical power output of the CSP plants. P th SU Thermal power required when the steam turbine starts up. P solar t Solar thermal power at time t. P w t , P w t Upper and lower bounds of the wind power at time t. RU CSP max , RD CSP max Maximum upward and downward ramping rate of electrical power from the CSP plants. T Number of time intervals under consideration. T CSP MinOFF , T CSP MinON Minimum ON and OFF times of the steam turbine in the CSP plants. Δt Time interval between two adjacent time points. ε Optimization tolerance. γ Dissipation factor of the TES system. η e Efficiency of thermoelectric conversion. η c Efficiency coefficient of charging the TES. η d Efficiency coefficient of discharging the TES. U Uncertainty set of wind power. V Uncertainty set of solar power. Ω CSP The variable set of a CSP plant. B. Variables b c , b d ∈ {0, 1} Charging and discharging state variables of CSP plants. E th Thermal energy stored in the TES system. P d1 , P d2 Slack variables in the slackness form of the RO problem. P e Active power output of the CSP plants. P set , P set Upper and lower bounds for the joint power output. 1949-3029

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Assessment of capacity factor and dispatch flexibility of concentrated solar power units

Cited by 7 publications

References 10 publications

Modeling and Thermal Analysis of a CCP Collector System Based on Fractal Architecture: Receiver Proposal

Modeling and Thermal Analysis of a CCP Collector System Based on Fractal Architecture: Receiver Proposal

Coordinated Operation of Concentrating Solar Power Plant and Wind Farm for Frequency Regulation

Reducing Generation Uncertainty by Integrating CSP With Wind Power: An Adaptive Robust Optimization-Based Analysis

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