IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v141y2017icp506-518.html
   My bibliography  Save this article

Optimal design and operations of a flexible oxyfuel natural gas plant

Author

Listed:
  • Teichgraeber, Holger
  • Brodrick, Philip G.
  • Brandt, Adam R.

Abstract

We co-optimize the design and operations of a flexible semi-closed oxygen-combustion combined cycle (SCOC-CC) carbon capture plant under time-varying electricity prices. The system consists of a cryogenic air separation unit, liquid oxygen storage, a gas turbine, a heat-recovery steam generator, and a steam turbine. The gas turbine is modeled allowing part-load operation. Computational optimization is used to maximize net present value (NPV) in order to examine the potential benefits achievable through upfront investments in increased flexibility (i.e., allowing price arbitrage between times of low and high price). Case studies of Germany and California are examined. Flexible SCOC-CC systems are not profitable in either region under current electricity prices. With electricity prices ≈2 times current prices, we find systems with positive NPVs. Oxygen storage is used in days with extreme price variability. Optimal designs favor constant operation, without over- or under-sizing system components and without additional oxygen storage. Sensitivity analyses show that external factors such as mean electricity price (± 200%), natural gas price (± 150%), and nominal discount rate (± 50%) have the strongest effect on NPV. Electricity price variability, which is thought to increase with increased penetration of renewables, does not strongly impact system design and profitability.

Suggested Citation

  • Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:506-518
    DOI: 10.1016/j.energy.2017.09.087
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217316067
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.09.087?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
    2. Brodrick, Philip G. & Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2015. "Optimization of carbon-capture-enabled coal-gas-solar power generation," Energy, Elsevier, vol. 79(C), pages 149-162.
    3. Morgan, Robert & Nelmes, Stuart & Gibson, Emma & Brett, Gareth, 2015. "Liquid air energy storage – Analysis and first results from a pilot scale demonstration plant," Applied Energy, Elsevier, vol. 137(C), pages 845-853.
    4. Li, Hongtao & Maréchal, François & Burer, Meinrad & Favrat, Daniel, 2006. "Multi-objective optimization of an advanced combined cycle power plant including CO2 separation options," Energy, Elsevier, vol. 31(15), pages 3117-3134.
    5. Elliston, Ben & Diesendorf, Mark & MacGill, Iain, 2012. "Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 45(C), pages 606-613.
    6. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
    7. Fu, Qian & Kansha, Yasuki & Song, Chunfeng & Liu, Yuping & Ishizuka, Masanori & Tsutsumi, Atsushi, 2016. "A cryogenic air separation process based on self-heat recuperation for oxy-combustion plants," Applied Energy, Elsevier, vol. 162(C), pages 1114-1121.
    8. Kvamsdal, Hanne M. & Jordal, Kristin & Bolland, Olav, 2007. "A quantitative comparison of gas turbine cycles with CO2 capture," Energy, Elsevier, vol. 32(1), pages 10-24.
    9. Franco, Alessandro & Giannini, Nicola, 2006. "A general method for the optimum design of heat recovery steam generators," Energy, Elsevier, vol. 31(15), pages 3342-3361.
    10. Bernier, Etienne & Maréchal, François & Samson, Réjean, 2010. "Multi-objective design optimization of a natural gas-combined cycle with carbon dioxide capture in a life cycle perspective," Energy, Elsevier, vol. 35(2), pages 1121-1128.
    11. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2011. "Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind," Energy, Elsevier, vol. 36(12), pages 6806-6820.
    12. Kim, T.S., 2004. "Comparative analysis on the part load performance of combined cycle plants considering design performance and power control strategy," Energy, Elsevier, vol. 29(1), pages 71-85.
    13. Lee, Jong Jun & Kang, Do Won & Kim, Tong Seop, 2011. "Development of a gas turbine performance analysis program and its application," Energy, Elsevier, vol. 36(8), pages 5274-5285.
    14. Casarosa, C. & Donatini, F. & Franco, A., 2004. "Thermoeconomic optimization of heat recovery steam generators operating parameters for combined plants," Energy, Elsevier, vol. 29(3), pages 389-414.
    15. Martin Schlüter & Matthias Gerdts, 2010. "The oracle penalty method," Journal of Global Optimization, Springer, vol. 47(2), pages 293-325, June.
    16. Fu, Chao & Gundersen, Truls, 2012. "Using exergy analysis to reduce power consumption in air separation units for oxy-combustion processes," Energy, Elsevier, vol. 44(1), pages 60-68.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
    2. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    3. Teichgraeber, Holger & Küpper, Lucas Elias & Brandt, Adam R., 2021. "Designing reliable future energy systems by iteratively including extreme periods in time-series aggregation," Applied Energy, Elsevier, vol. 304(C).
    4. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
    5. Brandt, Adam R. & Teichgraeber, Holger & Kang, Charles A. & Barnhart, Charles J. & Carbajales-Dale, Michael A. & Sgouridis, Sgouris, 2021. "Blow wind blow: Capital deployment in variable energy systems," Energy, Elsevier, vol. 224(C).
    6. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
    7. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.
    8. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    9. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    10. Kuepper, Lucas Elias & Teichgraeber, Holger & Baumgärtner, Nils & Bardow, André & Brandt, Adam R., 2022. "Wind data introduce error in time-series reduction for capacity expansion modelling," Energy, Elsevier, vol. 256(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.
    2. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    3. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
    4. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    5. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
    6. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2017. "Operational optimization of an integrated solar combined cycle under practical time-dependent constraints," Energy, Elsevier, vol. 141(C), pages 1569-1584.
    7. Brodrick, Philip G. & Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2015. "Optimization of carbon-capture-enabled coal-gas-solar power generation," Energy, Elsevier, vol. 79(C), pages 149-162.
    8. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
    9. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
    10. Chen, Shiqing & Dong, Xuezhi & Xu, Jian & Zhang, Hualiang & Gao, Qing & Tan, Chunqing, 2019. "Thermodynamic evaluation of the novel distillation column of the air separation unit with integration of liquefied natural gas (LNG) regasification," Energy, Elsevier, vol. 171(C), pages 341-359.
    11. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    12. Janusz Kotowicz & Sebastian Michalski & Mateusz Brzęczek, 2019. "The Characteristics of a Modern Oxy-Fuel Power Plant," Energies, MDPI, vol. 12(17), pages 1-34, September.
    13. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J. & Jayaweera, Indira, 2016. "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique," Applied Energy, Elsevier, vol. 179(C), pages 1209-1219.
    14. Dal Magro, Fabio & Jimenez-Arreola, Manuel & Romagnoli, Alessandro, 2017. "Improving energy recovery efficiency by retrofitting a PCM-based technology to an ORC system operating under thermal power fluctuations," Applied Energy, Elsevier, vol. 208(C), pages 972-985.
    15. Bracco, Stefano & Siri, Silvia, 2010. "Exergetic optimization of single level combined gas–steam power plants considering different objective functions," Energy, Elsevier, vol. 35(12), pages 5365-5373.
    16. Sun, Zhixin & Gao, Lin & Wang, Jiangfeng & Dai, Yiping, 2012. "Dynamic optimal design of a power generation system utilizing industrial waste heat considering parameter fluctuations of exhaust gas," Energy, Elsevier, vol. 44(1), pages 1035-1043.
    17. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    18. Ertesvåg, Ivar S. & Madejski, Paweł & Ziółkowski, Paweł & Mikielewicz, Dariusz, 2023. "Exergy analysis of a negative CO2 emission gas power plant based on water oxy-combustion of syngas from sewage sludge gasification and CCS," Energy, Elsevier, vol. 278(C).
    19. Bernier, Etienne & Maréchal, François & Samson, Réjean, 2012. "Optimal greenhouse gas emissions in NGCC plants integrating life cycle assessment," Energy, Elsevier, vol. 37(1), pages 639-648.
    20. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:141:y:2017:i:c:p:506-518. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.