Nuclear Engineering and Technology

  • 제53권4호
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  • Pages.1369-1377
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  • 2021
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  • 1738-5733(pISSN)
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  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
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Effects of the move towards Gen IV reactors in capacity expansion planning by total generation cost and environmental impact optimization

  • 투고 : 2020.04.11
  • 심사 : 2020.09.08
  • 발행 : 2021.04.25
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초록

Nowadays, it is necessary to accelerate the construction of new power plant in face of rising energy demand in such a way that the electricity will be generated at the lowest cost while reducing emissions caused by that generation. The expansion planning is one of the most important issues in electricity management. Nuclear energy comes forward with the low-carbon technology and increasing competitiveness to expand the share of generated energy by introducing Gen IV reactors. In this paper, the generation expansion planning of these new Gen reactors is investigated using the WASP software. Iran power grid is selected as a case of study. We present a comparison of the twenty-one year perspective on the future with the development of (1) traditional thermal power plants and Gen II reactors, (2) Gen III + reactors with traditional thermal power plants, (3) Gen IV reactors and traditional thermal power plants, (4) Gen III + reactors and the new generation of the thermal power plant, (5) the new generation of thermal power plants and the Gen IV reactors. The results show that the Gen IV reactors have the most developing among other types of power plants leading to reduce the operating costs and emissions. The obtained results show that the use of new Gen of combined cycle power plant and Gen IV reactors make the emissions and cost to be reduced to 16% and 72% of Gen II NPPs and traditional thermal power plants, respectively.

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참고문헌

  1. M. Omidi, N. Omidi, H. Asgari, M.G. Eskandari, Modeling and forecasting power generation and consumption in Iran, J. Manag. Econ. 27 (1) (2016), 83-71 (in Persian).
  2. A.J.C. Pereira, J.T. Saraiva, Generation expansion planning (GEP) a long-term approach using system dynamics and genetic algorithms (GAs), Energy 36 (2011) 5180-5199, https://doi.org/10.1016/j.energy.2011.06.021.
  3. KPX, The 8th Basic Plan for Long-Term Electricity Supply and Demand (2017-2031), Ministry of Trade, Industry and Energy, 2017. No. 2017-2611.
  4. D. Min, J. Ryu, D.G. Choi, Effects of the move towards renewables on the power system reliability and flexibility in South Korea, Energy Rep. 6 (2020) 406-417, https://doi.org/10.1016/j.egyr.2020.02.007.
  5. U. Nawaz, T.N. Malik, M.M. Ashraf, Least-cost generation expansion planning using whale optimization algorithm incorporating emission reduction and renewable energy sources, Int. Trans. Electr. Energ. Syst. 30 (2019) e12238, https://doi.org/10.1002/2050-7038.12238.
  6. A. Bhuvanesh, S.J. Christa, S. Kannan, M.K. Pandiyan, Aiming towards pollution free future by high penetration of renewable energy sources in electricity generation expansion planning, Futures 104 (2018) 25-36, https://doi.org/10.1016/j.futures.2018.07.002.
  7. S. Chen, P. Liu, Z. Li, Multi-regional power generation expansion planning with air pollutants emission constraints, Renew. Sustain. Energy Rev. 112 (2019) 382-394, https://doi.org/10.1016/j.rser.2019.05.062.
  8. H.H. Alhelou, S.J. Mirjalili, R. Zamani, P. Siano, Assessing the optimal generation technology mix determination considering demand response and EVs, Int. J. Electr. Power Energy Syst. 119 (2020) 105871, https://doi.org/10.1016/j.ijepes.2020.105871.
  9. R. Hemmati, H. Saboori, M.A. Jirdehi, Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution, Renew. Energy 97 (2016) 636-645, https://doi.org/10.1016/j.renene.2016.06.020.
  10. A. Das, A. Halder, R. Mazumder, V.K. Saini, J. Parikh, K.S. Parikh, Bangladesh power supply scenarios on renewable and electricity import, Energy 155 (2018) 651-667, https://doi.org/10.1016/j.energy.2018.04.169.
  11. K. Rajesh, A. Bhuvanesh, S. Kannan, C. Thangaraj, Least cost generation expansion planning with solar power plant using Differential Evolution algorithm, Renew. Energy 85 (2016) 677-686, https://doi.org/10.1016/j.renene.2015.07.026.
  12. A.A. Majd, E. Farjah, M. Rastegar, Composite generation and transmission expansion planning toward high renewable energy penetration in Iran power grid, IET Renew. Power Gener. 14 (2020) 1520-1528, https://doi.org/10.1049/iet-rpg.2019.0673.
  13. Iran Atomic Energy Production and Development Holding Company (www.aeoi.org.ir).
  14. M. Dahaghin, Optimal Generation Expansion Planning (By Genetic Algorithm), Tarbiat Modares University, 2004 (in Persian).
  15. Iran Grid Management Co, National Dispatching Reports, 2019. https://www.igmc.ir.
  16. Iran Electric Network Power Company (www.igmc.ir).
  17. Ministry of Power, Statistics, and Information Network. (isn.moe.gov.ir).
  18. G.L. de Los-Dantos, L. Mendosa-Gonzalez, Heat Rate Curve and Breakeven Point Model for Combine Cycle Gas Turbine Plants. https://doi.org/10.13140/RG.2.2.21980.03201.
  19. A. Mohseni, M. Abedi, G. Gharehpetian, Generation expansion planning and generation unit location based on IGA and AHP, JEM 3 (2013) 2-13. http://energy.kashanu.ac.ir/article-1-39-en.html.
  20. N. Ayoobian, R. Mousarezaei, The role of nuclear power in the reduction of environmental pollutants and climate changes compared to other power plants in Iran, J. Nucl. Sci. Technol. 39 (2018) 49-60, https://doi.org/10.24200/nst.2018.1047.
  21. TPPH, Specifications of Operation of Power Plant Units in the Country, 2020. https://www.tpph.ir.
  22. IAEA, Wien Automatic System Planning (WASP) Package, International Atomic Energy Agency, Vienna, Austria, 2001.
  23. X. Berisha, B. Hoxha, D. Meha, Efficiency analyses for small hydro-power plant with Francis turbine, Int. J. Mod. Trends Eng. Res. (2017) 155-164.
  24. A.J. Wood, B.F. Wollenberg, G.B. Sheble, Power Generation, Operation, and Control, John Wiley and Sons, 2013.
  25. INGEROP, Study of the Cost of Nuclear Power, Department of Energy, South Africa, 2013.
  26. M. Nasrullah, comparative economic assessment between SMR and large plant in comparison with different energy resources taking into account the environmental aspect, Ketenagalistrikan dan Energi Terbarukan 12 (2013) 91-102.
  27. V. Kuznetsov, A. Lokhov, Current Status, Technical Feasibility and Economics of Small Nuclear Reactors, Nuclear energy agency Organisation of economic cooperation and development, Paris, 2011.
  28. M.K. Lee, Economic Assessment of SMART in the Republic of Korea, IAEA, 2002. No. IAEA-CSP-14/P.
  29. GIF EMWG, Cost Estimating Guidelines for Generation IV Nuclear Energy Systems, GIF EMWG, Boulogne-Billancourt, 2007. GIF/EMWG/2007/004.
  30. T.J. Harrison, M.A. Moore, K.A. Williams, J.D. Rader, G4ECONS User Manual, GIF EMWG, 2018.
  31. S. Kim, H. Jang, R. Gao, C. Kim, Y. Chung, S. Bang, Break-even point Analysis of sodium-cooled fast reactor capital investment cost comparing the direct disposal option and pyro-sodium-cooled fast reactor nuclear fuel cycle option in Korea, Sustainability 9 (2017) 1518. https://doi.org/10.3390/su9091518
  32. W. Xu, J. Cai, S. Liu, Q. Tang, Analysis of the influences of thermal correlations on neutronicethermohydraulic coupling calculation of SCWR, Nucl. Eng. Des. 284 (2015) 50-59, https://doi.org/10.1016/j.nucengdes.2014.11.043.
  33. M. Moore, J. Pencer, L.K. Leung, R. Sadhankar, Knowledge Gaps in Economic Analyses of Advanced Reactor Concepts, the 19th Pacific Basin Nucl. Conf., Vancouver, British Columbia, Canada, 2014.
  34. A. Brolly, M. Halasz, M. Szieberth, L. Nagy, S. Feher, Physical model of the nuclear fuel cycle simulation code SITON, Ann. Nucl. Energy 99 (2017) 471-483, https://doi.org/10.1016/j.anucene.2016.10.001.
  35. L. Luzzi, A. Cammi, V. Di Marcello, S. Lorenzi, D. Pizzocri, P. Van Uffelen, Application of the TRANSURANUS code for the fuel pin design process of the ALFRED reactor, Nucl. Eng. Des. 277 (2014) 173-187, https://doi.org/10.1016/j.nucengdes.2014.06.032.
  36. C. Bohtz, S. Gokarn, E. Conte, Integrated Solar Combined Cycles (ISCC) to meet renewable targets and reduce CO2 emissions, in: Power Gen Europe Conference, Austria, 2013.