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Improving the flexibility of coal-fired power generators: Impact on the composition of a cost-optimal electricity system

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  • Garðarsdóttir, Stefanía Ó.
  • Göransson, Lisa
  • Normann, Fredrik
  • Johnsson, Filip

Abstract

A transformation of the electricity generation system is required to drastically reduce the associated CO2 emissions. In future systems, variable renewable energy sources (wind and solar) are expected to provide a significant fraction of the electricity supply, increasing the requirement for variation management compared with today’s situation. This paper investigates the impacts of measures designed to increase the competitiveness of coal-fired power plants in future energy systems, which are facing restrictions related to CO2 emissions and variable operation as a consequence of high penetration levels of wind and solar power. We investigate the cost-optimal compositions of three regional electricity generation systems with different conditions for generation using renewables with a linear cost-minimizing investment model. The model is applied in two energy policy scenarios: one with a tight cap on CO2 emissions, and one with a stringent requirement for generation from renewables.

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  • Garðarsdóttir, Stefanía Ó. & Göransson, Lisa & Normann, Fredrik & Johnsson, Filip, 2018. "Improving the flexibility of coal-fired power generators: Impact on the composition of a cost-optimal electricity system," Applied Energy, Elsevier, vol. 209(C), pages 277-289.
  • Handle: RePEc:eee:appene:v:209:y:2018:i:c:p:277-289
    DOI: 10.1016/j.apenergy.2017.10.085
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    1. Lindqvist, Karl & Jordal, Kristin & Haugen, Geir & Hoff, Karl Anders & Anantharaman, Rahul, 2014. "Integration aspects of reactive absorption for post-combustion CO2 capture from NGCC (natural gas combined cycle) power plants," Energy, Elsevier, vol. 78(C), pages 758-767.
    2. Johansson, V. & Thorson, L. & Goop, J. & Göransson, L. & Odenberger, M. & Reichenberg, L. & Taljegard, M. & Johnsson, F., 2017. "Value of wind power – Implications from specific power," Energy, Elsevier, vol. 126(C), pages 352-360.
    3. Bergek, Anna & Jacobsson, Staffan, 2010. "Are tradable green certificates a cost-efficient policy driving technical change or a rent-generating machine? Lessons from Sweden 2003-2008," Energy Policy, Elsevier, vol. 38(3), pages 1255-1271, March.
    4. Brouwer, Anne Sjoerd & van den Broek, Machteld & Zappa, William & Turkenburg, Wim C. & Faaij, André, 2016. "Least-cost options for integrating intermittent renewables in low-carbon power systems," Applied Energy, Elsevier, vol. 161(C), pages 48-74.
    5. Kubik, M.L. & Coker, P.J. & Barlow, J.F., 2015. "Increasing thermal plant flexibility in a high renewables power system," Applied Energy, Elsevier, vol. 154(C), pages 102-111.
    6. Emmanouil Karampinis & Panagiotis Grammelis & Michalis Agraniotis & Ioannis Violidakis & Emmanuel Kakaras, 2014. "Co-firing of biomass with coal in thermal power plants: technology schemes, impacts, and future perspectives," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(4), pages 384-399, July.
    7. Göransson, Lisa & Goop, Joel & Unger, Thomas & Odenberger, Mikael & Johnsson, Filip, 2014. "Linkages between demand-side management and congestion in the European electricity transmission system," Energy, Elsevier, vol. 69(C), pages 860-872.
    8. Goto, Kazuya & Yogo, Katsunori & Higashii, Takayuki, 2013. "A review of efficiency penalty in a coal-fired power plant with post-combustion CO2 capture," Applied Energy, Elsevier, vol. 111(C), pages 710-720.
    9. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M. & Vance, Colin, 2010. "Economic impacts from the promotion of renewable energy technologies: The German experience," Energy Policy, Elsevier, vol. 38(8), pages 4048-4056, August.
    10. Christoph Weber, 2005. "Uncertainty in the Electric Power Industry," International Series in Operations Research and Management Science, Springer, number 978-0-387-23048-1, December.
    11. Göransson, Lisa & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2017. "Impact of thermal plant cycling on the cost-optimal composition of a regional electricity generation system," Applied Energy, Elsevier, vol. 197(C), pages 230-240.
    12. Eser, Patrick & Singh, Antriksh & Chokani, Ndaona & Abhari, Reza S., 2016. "Effect of increased renewables generation on operation of thermal power plants," Applied Energy, Elsevier, vol. 164(C), pages 723-732.
    13. Odenberger, M. & Unger, T. & Johnsson, F., 2009. "Pathways for the North European electricity supply," Energy Policy, Elsevier, vol. 37(5), pages 1660-1677, May.
    14. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
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    5. Chunning Na & Huan Pan & Yuhong Zhu & Jiahai Yuan & Lixia Ding & Jungang Yu, 2019. "The Flexible Operation of Coal Power and Its Renewable Integration Potential in China," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    6. Ioannis Avagianos & Dimitrios Rakopoulos & Sotirios Karellas & Emmanouil Kakaras, 2020. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation," Energies, MDPI, vol. 13(24), pages 1-41, December.
    7. Johansson, Viktor & Lehtveer, Mariliis & Göransson, Lisa, 2019. "Biomass in the electricity system: A complement to variable renewables or a source of negative emissions?," Energy, Elsevier, vol. 168(C), pages 532-541.
    8. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    9. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Zeng, Yuan & Zhang, Ruiwen & Wang, Dong & Mu, Yunfei & Jia, Hongjie, 2019. "A regional power grid operation and planning method considering renewable energy generation and load control," Applied Energy, Elsevier, vol. 237(C), pages 304-313.
    11. Ling Du & Hasan Dinçer & İrfan Ersin & Serhat Yüksel, 2020. "IT2 Fuzzy-Based Multidimensional Evaluation of Coal Energy for Sustainable Economic Development," Energies, MDPI, vol. 13(10), pages 1-21, May.
    12. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    13. Nowak, Grzegorz & Rusin, Andrzej & Łukowicz, Henryk & Tomala, Martyna, 2020. "Improving the power unit operation flexibility by the turbine start-up optimization," Energy, Elsevier, vol. 198(C).
    14. Beiron, Johanna & Montañés, Rubén M. & Normann, Fredrik & Johnsson, Filip, 2020. "Flexible operation of a combined cycle cogeneration plant – A techno-economic assessment," Applied Energy, Elsevier, vol. 278(C).
    15. Siwei Han & Li Sun & Jiong Shen & Lei Pan & Kwang Y. Lee, 2018. "Optimal Load-Tracking Operation of Grid-Connected Solid Oxide Fuel Cells through Set Point Scheduling and Combined L1-MPC Control," Energies, MDPI, vol. 11(4), pages 1-23, March.

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