Maximising revenue via optimal control of a concentrating solar thermal power plant with limited storage capacity

Cirocco, Luigi; Belusko, Martin; Bruno, Frank; Boland, John; Pudney, Peter

doi:10.1049/iet-rpg.2015.0244

Cited by 14 publications

(2 citation statements)

References 18 publications

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“…Like all emerging industries, the initial investment cost of CSP is high. Researches show that project scale (Sharma et al 2016;Wang 2009;Li et al 2015), heat storage device (Balghouthi et al 2016;Cirocco et al 2016;Parrado et al 2016), and development and demonstration investment cost (Bosetti et al 2012) all affect the initial investment cost. The difficulty and key problem in the study of CSP is its operation, which involves the integration and coordination of multiple systems such as solar heat collection, heat transfer and heat storage, and power generation (Du et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Concentrated solar power: technology, economy analysis, and policy implications in China

Pei

Yuan

et al. 2021

Environ Sci Pollut Res

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Renewable energy plays a significant role in achieving energy savings and emission reduction. As a sustainable and environmental friendly renewable energy power technology, concentrated solar power (CSP) integrates power generation and energy storage to ensure the smooth operation of the power system. However, the cost of CSP is an obstacle hampering the commercialization of this emerging industry, so the paper studies the technical characteristics, economic analysis, and policy implications of CSP. This paper sorts out the relevant policies of CSP and uses the levelized cost of electricity (LCOE) model by considering financial parameters, investment parameters, operation and maintenance parameters, tax parameters, capacity parameters, etc., to analyze the economics of CSP. The model parameters are set by the actual situation of CSP projects. The economic evaluation of different technology types of parabolic trough (PT), solar tower (ST), secondary reflection ST, and linear Fresnel reflector (LFR) is carried out. The LCOE of PT project is 1.11 RMB/kWh (0.17 US$/kWh), the ST project is 0.93 RMB/kWh (0.14 US$/kWh), the secondary reflection ST project is 0.97 RMB/kWh (0.15 US$/kWh), and the LFR project is 0.92 RMB/kWh (0.14 US $/kWh). The results show that the grid parity era of CSP in China is within reach, and ST is the most potential technology type. Based on the results of economic analysis and the problems faced by CSP in China, this paper puts forward policy implications by preferential loans, tax incentives, and R&D fund support to promote the development of CSP.

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Section: Introductionmentioning

confidence: 99%

Concentrated solar power: technology, economy analysis, and policy implications in China

Pei

Yuan

et al. 2021

Environ Sci Pollut Res

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“…Indeed, solar energy is a necessary form of renewable energy. The earth receives a massive amount of energy from the sun that can be converted into clean electricity directly through photovoltaics (PVs) [15,16] or indirectly through concentrating solar power (CSP) [17]. Although the capital cost of PV farms is high, they are a preferable choice for generating clean electricity [18].…”

Section: Introductionmentioning

confidence: 99%

Improved Salp–Swarm Optimizer and Accurate Forecasting Model for Dynamic Economic Dispatch in Sustainable Power Systems

et al. 2020

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Worldwide, the penetrations of photovoltaic (PV) and energy storage systems are increased in power systems. Due to the intermittent nature of PVs, these sustainable power systems require efficient managing and prediction techniques to ensure economic and secure operations. In this paper, a comprehensive dynamic economic dispatch (DED) framework is proposed that includes fuel-based generators, PV, and energy storage devices in sustainable power systems, considering various profiles of PV (clear and cloudy). The DED model aims at minimizing the total fuel cost of power generation stations while considering various constraints of generation stations, the power system, PV, and energy storage systems. An improved optimization algorithm is proposed to solve the DED optimization problem for a sustainable power system. In particular, a mutation mechanism is combined with a salp–swarm algorithm (SSA) to enhance the exploitation of the search space so that it provides a better population to get the optimal global solution. In addition, we propose a DED handling strategy that involves the use of PV power and load forecasting models based on deep learning techniques. The improved SSA algorithm is validated by ten benchmark problems and applied to the DED optimization problem for a hybrid power system that includes 40 thermal generators and PV and energy storage systems. The experimental results demonstrate the efficiency of the proposed framework with different penetrations of PV.

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Economic Studies on High-Temperature Phase Change Storage Systems

Jacob

Belusko

Saman

et al. 2018

High Temperature Thermal Storage Systems Using Phase Change Materials

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Maximising revenue via optimal control of a concentrating solar thermal power plant with limited storage capacity

Cited by 14 publications

References 18 publications

Concentrated solar power: technology, economy analysis, and policy implications in China

Concentrated solar power: technology, economy analysis, and policy implications in China

Improved Salp–Swarm Optimizer and Accurate Forecasting Model for Dynamic Economic Dispatch in Sustainable Power Systems

Economic Studies on High-Temperature Phase Change Storage Systems

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