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Optimal design and operations of a flexible oxyfuel natural gas plant

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Martin Schlüter & Matthias Gerdts, 2010. "The oracle penalty method," Journal of Global Optimization, Springer, vol. 47(2), pages 293-325, June.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
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