CSP Quasi-Dynamic Performance Model Development for All Project Life Cycle Stages and Considering Operation Modes. Validation Using One Year Data

Adrian Gonzalez Gonzalez, J. Valeriano Alvarez Cabal, Vicente Rodríguez Montequin, Joaquín Villanueva Balsera and Rogelio Peón Menéndez
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Adrian Gonzalez Gonzalez: TSK, 33203 Gijón, Spain
J. Valeriano Alvarez Cabal: Project Engineering Area, University of Oviedo, 33003 Oviedo, Spain
Vicente Rodríguez Montequin: Project Engineering Area, University of Oviedo, 33003 Oviedo, Spain
Joaquín Villanueva Balsera: Project Engineering Area, University of Oviedo, 33003 Oviedo, Spain
Rogelio Peón Menéndez: TSK, 33203 Gijón, Spain

Energies, 2020, vol. 14, issue 1, 1-22

Abstract: The energy production of concentrated solar power (CSP) plants not only depends on their design, but also of the weather conditions and the way they are operated. A performance model (PM) of a CSP plant is an essential tool to determine production costs, to optimize design and also to supervise the operation of the plant. The challenge is developing a PM that is both easy enough to be useful during the earlier stages of the project, and also useful for supervision of plant operation. This requires one to be able to describe the step between the different modes of operation and to fit the response to transient meteorological phenomena, not so relevant in terms of aggregate values, but crucial for the supervision. The quasi-dynamic performance model (QD-PM) can predict the net energy exported to the grid, as well as all the key operational variables. The QD-PM was implemented using Matlab-Simulink of Mathwoks (MA, USA) with a modular structure. Each module is developed using specific software and a state machine is used to simulate the sequence between the operation modes. The validation of the PM is made using one complete year of commercial operation of a 50 MWe CSP plant situated in Spain. The comparison between the actual data and the results of the model shows an excellent fit, being especially noteworthy as follows the transients between the different CSP operation modes. Then, QD-PM provides an accuracy better than the usual PM, and, almost, as good as that of a fully dynamic model but with a shorter simulation time. But, the main advantage of the QD-PM is that it can be use not only in the feasibility and design stages, but it can be used to supervise the operation of the plant.

Keywords: CSP; performance model; simulation; transient modelling; plant data validation; power block; parabolic trough; quasi dynamic (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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