Concentrating solar power plant investment and operation decisions under different price and support mechanisms

Kost, Christoph; Flath, Christoph M.; Möst, Dominik

doi:10.1016/j.enpol.2013.05.040

Cited by 63 publications

(23 citation statements)

References 21 publications

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“…As future work, we plan to consider design and market participation co-optimization 37,38 as well as probabilistic weather and price forecasts. 9,[39][40][41][42] Yet modeling multiscale effects (minutes to decades) and uncertainty often result in extremely large optimization problems.…”

Section: Discussionmentioning

confidence: 99%

A decomposition algorithm for simultaneous scheduling and control of CSP systems

2018

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We present a decomposition algorithm to perform simultaneous scheduling and control decisions in concentrated solar power (CSP) systems. Our algorithm is motivated by the need to determine optimal market participation strategies at multiple timescales. The decomposition scheme uses physical insights to create surrogate linear models that are embedded within a mixed‐integer linear scheduling layer to perform discrete (operational mode) decisions. The schedules are then validated for physical feasibility in a dynamic optimization layer that uses a continuous full‐resolution CSP model. The dynamic optimization layer updates the physical variables of the surrogate models to refine schedules. We demonstrate that performing this procedure recursively provides high‐quality solutions of the simultaneous scheduling and control problem. We exploit these capabilities to analyze different market participation strategies and to explore the influence of key design variables on revenue. Our results also indicate that using scheduling algorithms that neglect detailed dynamics significantly decreases market revenues. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2408–2417, 2018

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Section: Discussionmentioning

confidence: 99%

A decomposition algorithm for simultaneous scheduling and control of CSP systems

2018

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“…Optimization of solar collector field size, for a CSP plant with thermal energy storage, through multiple simulations (Montes et al 2009b;Izquierdo et al 2010;Jain et al 2013), mixed integer maximization approach (Kost et al 2013), and genetic algorithms (Cabello et al 2011) have been reported in literature. Suresh et al (2014) proposed a methodology to determine the thermodynamically optimal solar field size, for PTC-based plants with hybridization Sharma et al (2016).…”

Section: Design Radiation and Solar Field Sizementioning

confidence: 99%

Line-focusing concentrating solar collector-based power plants: a review

Desai

Bandyopadhyay

2016

Clean Techn Environ Policy

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Concentrated solar power (CSP) plant is an emerging technology among different renewable energy sources. Parabolic trough collector (PTC)-based CSP plant, using synthetic or organic oil as a heat-transfer fluid, is the most advanced technology. About 87 % of the operational capacities of CSP plants worldwide are based on PTC technology. Direct steam-generating linear Fresnel reflector (LFR) systems have been developed as a cost-effective alternative to PTC systems. Line-focusing concentrating solar collectors (PTC and LFR), with single-axis tracking, are simple in design and easy to operate. Prior to the detailed design of a CSP plant, it is necessary to finalize type of the solar field, type of the power-generating cycle, overall plant configuration, sizing of the solar field and the power block, etc. The optimal design of a CSP plant minimizes the levelized cost of energy for a given site. In this paper, a detailed review of important design parameters which affect the design of line-focusing concentrating solar collector-based power plants is presented. This includes parameters for solar collector field design, receiver, heat-transfer fluid, thermal energy storage, powergenerating cycle, sizing and configuration of the plant, etc. This review may provide a reference for designing CSP plants. Future research directions are also identified.

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“…. , x 128 to be the tube temperature of the 8 × 8 nodes, (5) and (6) can be rewritten in matrix form as in (24), as shown at the top of the next page, and…”

Section: Solar Tower Thermal Dynamics With Simple Controlmentioning

confidence: 99%

“…All of these gains arise mostly from better component designs [2], [3], and better energy bidding strategy to maximize plant profit [4], [5]. There is one shortcoming in these approaches: the absence of an integrated dynamic (as opposed to static) plant model for real-time optimization of operations.…”

Section: Introductionmentioning

confidence: 99%

Control-Oriented Concentrated Solar Power Plant Model

Luo

Ariyur

Mathur

2015

IEEE Trans. Contr. Syst. Technol.

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We model the dynamics of solar thermal plants-the first model covering all processes between market demand through power output at millisecond resolution-for the purpose of control design. Our model integrates solar reflectors, power tower, salt tank, boiler, turbine, generator, piping, and pumps along with the flows of energy and information between them. We show how our detailed model permits control designs that can potentially enhance the life of the power tower, and thereby aid in reducing generation costs of solar power to a level competitive to current electricity price. Our modeling also opens up several problems of control and optimization of concentrated solar power (CSP) plants that can quickly bring the maturity of CSPs near that of traditional coal-fired plants and aid their integration with the other power sources. We show some of this potential via simulations. Index Terms-Concentrated solar power (CSP), controloriented model. 1063-6536

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Concentrating solar power plant investment and operation decisions under different price and support mechanisms

Cited by 63 publications

References 21 publications

A decomposition algorithm for simultaneous scheduling and control of CSP systems

A decomposition algorithm for simultaneous scheduling and control of CSP systems

Line-focusing concentrating solar collector-based power plants: a review

Control-Oriented Concentrated Solar Power Plant Model

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