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Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada

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  • Chen, J.P.
  • Huang, G.
  • Baetz, B.W.
  • Lin, Q.G.
  • Dong, C.
  • Cai, Y.P.

Abstract

This study developed an inexact optimization modelling approach for supporting regional energy systems decision-making and greenhouse gas emission mitigation under uncertainty. The developed model integrates multiple inexact optimization programming approaches, incorporating interval linear programming, mixed-integer programming, and chance-constrained programming in an optimization framework. Uncertainties expressed as interval values and probabilistic distributions can be effectively handled. This is the first attempt that applies an optimization-based modelling approach to Yukon Territory, Canada. Three scenarios and one business-as-usual scenario are evaluated. System costs are minimized in this model. Results obtained from this model can help identify optimal patterns of renewable energy expansions in the Yukon. The interval solutions obtained could help decision makers to identify desirable renewable energy polices and emission reductions.

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  • Chen, J.P. & Huang, G. & Baetz, B.W. & Lin, Q.G. & Dong, C. & Cai, Y.P., 2018. "Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada," Applied Energy, Elsevier, vol. 229(C), pages 493-504.
    • Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:493-504
    DOI: 10.1016/j.apenergy.2018.06.140
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    1. Dong, C. & Huang, G.H. & Cai, Y.P. & Xu, Y., 2011. "An interval-parameter minimax regret programming approach for power management systems planning under uncertainty," Applied Energy, Elsevier, vol. 88(8), pages 2835-2845, August.
    2. El-Fadel, M. & Chedid, R. & Zeinati, M. & Hmaidan, W., 2003. "Mitigating energy-related GHG emissions through renewable energy," Renewable Energy, Elsevier, vol. 28(8), pages 1257-1276.
    3. Huang, G. H. & Baetz, B. W. & Patry, G. G., 1995. "Grey fuzzy integer programming: An application to regional waste management planning under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 17-38, March.
    4. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    5. Lin, Q.G. & Huang, G.H., 2009. "Planning of energy system management and GHG-emission control in the Municipality of Beijing--An inexact-dynamic stochastic programming model," Energy Policy, Elsevier, vol. 37(11), pages 4463-4473, November.
    6. Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2018. "A Combined Energy and Geoengineering Optimization Model (CEAGOM) for climate and energy policy analysis," Applied Energy, Elsevier, vol. 218(C), pages 246-255.
    7. Smith, B. R., 1980. "Modelling New Zealand's energy system," European Journal of Operational Research, Elsevier, vol. 4(3), pages 173-184, March.
    8. Song, Han & Dotzauer, Erik & Thorin, Eva & Guziana, Bozena & Huopana, Tuomas & Yan, Jinyue, 2012. "A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation," Energy, Elsevier, vol. 46(1), pages 522-532.
    9. Groscurth, H.-M. & Kümmel, R. & Van Gool, W., 1989. "Thermodynamic limits to energy optimization," Energy, Elsevier, vol. 14(5), pages 241-258.
    10. Tiris, Mustafa & Atagunduz, Gurbuz & Dincer, Ibrahim, 1994. "Energy, economy and environment modelling: Applications for Turkey," Energy, Elsevier, vol. 19(9), pages 1005-1009.
    11. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    12. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    13. Unknown, 2016. "Energy for Sustainable Development," Conference Proceedings 253270, Guru Arjan Dev Institute of Development Studies (IDSAsr).
    14. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
    15. Nie, S. & Huang, Charley Z. & Huang, G.H. & Li, Y.P. & Chen, J.P. & Fan, Y.R. & Cheng, G.H., 2016. "Planning renewable energy in electric power system for sustainable development under uncertainty – A case study of Beijing," Applied Energy, Elsevier, vol. 162(C), pages 772-786.
    16. Huang, Guo H. & Baetz, Brian W. & Patry, Gilles G., 1995. "Grey integer programming: An application to waste management planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 83(3), pages 594-620, June.
    17. Marano, Vincenzo & Rizzo, Gianfranco & Tiano, Francesco Antonio, 2012. "Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage," Applied Energy, Elsevier, vol. 97(C), pages 849-859.
    18. Yu, L. & Li, Y.P. & Huang, G.H. & Fan, Y.R. & Yin, S., 2018. "Planning regional-scale electric power systems under uncertainty: A case study of Jing-Jin-Ji region, China," Applied Energy, Elsevier, vol. 212(C), pages 834-849.
    19. Zhou, Xiong & Huang, Guohe & Zhu, Hua & Chen, Jiapei & Xu, Jinliang, 2015. "Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada," Applied Energy, Elsevier, vol. 154(C), pages 663-677.
    Full references (including those not matched with items on IDEAS)

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