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Research Papers

Adapting Steady-State Solar Power Models to Include Transients

[+] Author and Article Information
Mohammad Abutayeh

Mechanical Engineering Department,
Arkansas State University,
Jonesboro, AR 72401

Anas Alazzam

Mechanical Engineering Department,
Khalifa University,
PO Box 127788,
Abu Dhabi, UAE

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received May 15, 2016; final manuscript received September 27, 2016; published online November 10, 2016. Assoc. Editor: Carlos F. M. Coimbra.

J. Sol. Energy Eng 139(2), 021006 (Nov 10, 2016) (7 pages) Paper No: SOL-16-1223; doi: 10.1115/1.4034928 History: Received May 15, 2016; Revised September 27, 2016

Quite a few computer programs have been developed to model power plant performance. These software codes are geared toward modeling steady-state operations, which are usually sufficient for conventional power plants. Solar thermal power plants undergo prolonged transient start-up and shut-down operations due to the periodic nature of solar radiation. Moreover, the large size of the solar field brings about large residence time that must be considered to accurately lag power generation. A novel scheme has been developed to fine-tune steady-state solar power generation models to accurately take account of the impact of those transient operations. The suggested new scheme is implemented by adjusting solar radiation data input to the model and has been shown to clearly improve modeling accuracy by moving modeled results closer to matching real operating data.

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References

Abutayeh, M. , Goswami, D. Y. , and Stefanakos, E. K. , 2012, “ Solar Thermal Power Plant Simulation,” Environ. Prog. Sustainable Energy J., 32(2), pp. 417–424. [CrossRef]
IRENA, 2012, “ Renewable Energy Technologies: Cost Analysis Series: Wind Power,” International Renewable Energy Agency, Bonn, Germany, Working Paper Vol. 1, Issue 5.
Cohen, G. E. , Kearney, D. W. , and Kolb, G. J. , 1999, “ Final Report on the Operation and Maintenance Improvement Program for Concentrating Solar Power Plants,” Sandia National Laboratories, Livermore, CA, Report No. SAND99-1290.
Henrion, T. , Ponweiser, K. , Band, D. , and Telgen ., 2012, “ Dynamic Simulation of a Solar Power Plant Steam Generation System,” Simul. Modell. Pract. Theory J., 33, pp. 2–17.
Augsburger, G. , and Favrat, D. , 2012, “ Modelling of the Receiver Transient Flux Distribution Due to Cloud Passages on a Solar Tower Thermal Power Plant,” Solar Energy J., 87, pp. 42–52. [CrossRef]
Zaversky, F. , Sánchez, M. , and Astrain, D. , 2013, “ Object-Oriented Modeling for the Transient Response Simulation of Multi-Pass Shell-and-Tube Heat Exchangers as Applied in Active Indirect Thermal Energy Storage Systems for Concentrated Solar Power,” Energy J., 65(1), pp. 647–664.
Samanes, J. , and Garcia-Barberena, J. , 2014, “ A Model for the Transient Performance Simulation of Solar Cavity Receivers,” Solar Energy J., 110, pp. 789–806. [CrossRef]
El Hefni, B. , 2013, “ Dynamic Modeling of Concentrated Solar Power Plants With the ThermoSysPro Library (Parabolic Trough Collectors, Fresnel Reflector and Solar-Hybrid),” Energy Procedia, 49, pp. 1127–1137. [CrossRef]
Rodat, S. , Souza, J. V. D. , Thebault, S. , Vuillerme, V. , and Dupassieux, N. , 2014, “ Dynamic Simulations of Fresnel Solar Power Plants,” Energy Procedia, 49, pp. 1501–1510. [CrossRef]
Wagner, P. H. , and Wittmanna, M. , 2014, “ Influence of Different Operation Strategies on Transient Solar Thermal Power Plant Simulation Models With Molten Salt as Heat Transfer Fluid,” Energy Procedia, 49, pp. 1652–1663. [CrossRef]
Terdalkar, R. , Qian, H. , and Ye, G. , 2014, “ Unique Challenges in the Design and Operation Philosophy of Solar Thermal Power Plants,” Energy Procedia, 49, pp. 2521–2531. [CrossRef]
Biencinto, M. , González, L. , and Valenzuela, L. , 2016, “ A Quasi-Dynamic Simulation Model for Direct Steam Generation in Parabolic Troughs Using TRNSYS,” Appl. Energy, 161, pp. 133–142. [CrossRef]
Rheinländer, J. , Bergmann, S. , and Erbes, M. R. , 2008, “ Technical and Economic Performance of Parabolic Trough Solar Power Plants—A Computational Tool for Plant Feasibility Studies,” 14th SolarPACES International Symposium on Concentrated Solar Power and Chemical Energy Technologies; Las Vegas, NV.
Lippke, F. , 1995, “ Simulation of the Part Load Behavior of a 30MWe SEGS Plant,” Sandia National Laboratories, Albuquerque, NM, Report No. SAND95-1293.
Abutayeh, M. , Alazzam, A. , and Khasawneh, B. , 2014, “ Balancing Heat Transfer Fluid Flow in Solar Fields,” Solar Energy J., 105, pp. 381–389. [CrossRef]

Figures

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Fig. 1

Conventional PTC-based CSP plant

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Fig. 2

Logic for producing warm up DII offsets

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Fig. 3

Logic for producing cool down DII offsets

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Fig. 4

General data flow schematic

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Fig. 5

Solar radiation profile on a cloudless day

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Fig. 6

Solar radiation profile on a cloudy day

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Fig. 7

Power generation profile on a cloudless day

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Fig. 8

Power generation profile on a cloudy day

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