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A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries

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  1. Vithayasrichareon, Peerapat & MacGill, Iain F., 2013. "Assessing the value of wind generation in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 53(C), pages 400-412.
  2. Jiaquan Li & Zhifu Mi & Yi-Ming Wei & Jingli Fan & Yang Yang & Yunbing Hou, 2019. "Flexible options to provide energy for capturing carbon dioxide in coal-fired power plants under the Clean Development Mechanism," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1483-1505, December.
  3. Kim, Dowon & Ryu, Heelang & Lee, Jiwoong & Kim, Kyoung-Kuk, 2022. "Balancing risk: Generation expansion planning under climate mitigation scenarios," European Journal of Operational Research, Elsevier, vol. 297(2), pages 665-679.
  4. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
  5. Fang, Kai & Li, Chenglin & Tang, Yiqi & He, Jianjian & Song, Junnian, 2022. "China’s pathways to peak carbon emissions: New insights from various industrial sectors," Applied Energy, Elsevier, vol. 306(PA).
  6. Tanoto, Yusak & Haghdadi, Navid & Bruce, Anna & MacGill, Iain, 2020. "Clustering based assessment of cost, security and environmental tradeoffs with possible future electricity generation portfolios," Applied Energy, Elsevier, vol. 270(C).
  7. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
  8. Ravikumar, Dwarakanath & Malghan, Deepak, 2013. "Material constraints for indigenous production of CdTe PV: Evidence from a Monte Carlo experiment using India's National Solar Mission Benchmarks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 393-403.
  9. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
  10. Paulino Martinez-Fernandez & Fernando deLlano-Paz & Anxo Calvo-Silvosa & Isabel Soares, 2018. "Pollutant versus non-pollutant generation technologies: a CML-analogous analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 199-212, December.
  11. Jano-Ito, Marco A. & Crawford-Brown, Douglas, 2017. "Investment decisions considering economic, environmental and social factors: An actors' perspective for the electricity sector of Mexico," Energy, Elsevier, vol. 121(C), pages 92-106.
  12. Koltsaklis, Nikolaos E. & Liu, Pei & Georgiadis, Michael C., 2015. "An integrated stochastic multi-regional long-term energy planning model incorporating autonomous power systems and demand response," Energy, Elsevier, vol. 82(C), pages 865-888.
  13. deLlano-Paz, Fernando & Calvo-Silvosa, Anxo & Antelo, Susana Iglesias & Soares, Isabel, 2017. "Energy planning and modern portfolio theory: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 636-651.
  14. Vithayasrichareon, Peerapat & Riesz, Jenny & MacGill, Iain, 2017. "Operational flexibility of future generation portfolios with high renewables," Applied Energy, Elsevier, vol. 206(C), pages 32-41.
  15. Brouwer, Anne Sjoerd & van den Broek, Machteld & Özdemir, Özge & Koutstaal, Paul & Faaij, André, 2016. "Business case uncertainty of power plants in future energy systems with wind power," Energy Policy, Elsevier, vol. 89(C), pages 237-256.
  16. Zheng, Yanan & Ren, Dongming & Guo, Zheyu & Hu, Zhaoguang & Wen, Quan, 2019. "Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China," Energy, Elsevier, vol. 180(C), pages 772-786.
  17. Sharma, Tarun & Glynn, James & Panos, Evangelos & Deane, Paul & Gargiulo, Maurizio & Rogan, Fionn & Gallachóir, Brian Ó, 2019. "High performance computing for energy system optimization models: Enhancing the energy policy tool kit," Energy Policy, Elsevier, vol. 128(C), pages 66-74.
  18. Min, Daiki & Chung, Jaewoo, 2013. "Evaluation of the long-term power generation mix: The case study of South Korea's energy policy," Energy Policy, Elsevier, vol. 62(C), pages 1544-1552.
  19. Nguyen, Nhut Tien & Matsuhashi, Ryuji & Vo, Tran Thi Bich Chau, 2021. "A design on sustainable hybrid energy systems by multi-objective optimization for aquaculture industry," Renewable Energy, Elsevier, vol. 163(C), pages 1878-1894.
  20. Forouli, Aikaterini & Gkonis, Nikolaos & Nikas, Alexandros & Siskos, Eleftherios & Doukas, Haris & Tourkolias, Christos, 2019. "Energy efficiency promotion in Greece in light of risk: Evaluating policies as portfolio assets," Energy, Elsevier, vol. 170(C), pages 818-831.
  21. Vithayasrichareon, Peerapat & MacGill, Iain F. & Nakawiro, Thanawat, 2012. "Assessing the sustainability challenges for electricity industries in ASEAN newly industrialising countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2217-2233.
  22. Zhang, Yue-Jun & Chen, Ming-Ying, 2018. "Evaluating the dynamic performance of energy portfolios: Empirical evidence from the DEA directional distance function," European Journal of Operational Research, Elsevier, vol. 269(1), pages 64-78.
  23. Ioannou, Anastasia & Angus, Andrew & Brennan, Feargal, 2017. "Risk-based methods for sustainable energy system planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 602-615.
  24. Nong, Duy & Nguyen, Duong Binh & Nguyen, Trung H. & Wang, Can & Siriwardana, Mahinda, 2020. "A stronger energy strategy for a new era of economic development in Vietnam: A quantitative assessment," Energy Policy, Elsevier, vol. 144(C).
  25. Kavvadias, K.C. & Khamis, I., 2014. "Sensitivity analysis and probabilistic assessment of seawater desalination costs fueled by nuclear and fossil fuel," Energy Policy, Elsevier, vol. 74(S1), pages 24-30.
  26. Rentizelas, Athanasios & Georgakellos, Dimitrios, 2014. "Incorporating life cycle external cost in optimization of the electricity generation mix," Energy Policy, Elsevier, vol. 65(C), pages 134-149.
  27. Chandra Ade Irawan & Peter S. Hofman & Hing Kai Chan & Antony Paulraj, 2022. "A stochastic programming model for an energy planning problem: formulation, solution method and application," Annals of Operations Research, Springer, vol. 311(2), pages 695-730, April.
  28. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
  29. Huang, Yun-Hsun & Wu, Jung-Hua & Hsu, Yu-Ju, 2016. "Two-stage stochastic programming model for the regional-scale electricity planning under demand uncertainty," Energy, Elsevier, vol. 116(P1), pages 1145-1157.
  30. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "Portfolio assessments for future generation investment in newly industrializing countries – A case study of Thailand," Energy, Elsevier, vol. 44(1), pages 1044-1058.
  31. Fei, Rilong & Lin, Boqiang, 2017. "Estimates of energy demand and energy saving potential in China's agricultural sector," Energy, Elsevier, vol. 135(C), pages 865-875.
  32. Gorre, Jachin & Ruoss, Fabian & Karjunen, Hannu & Schaffert, Johannes & Tynjälä, Tero, 2020. "Cost benefits of optimizing hydrogen storage and methanation capacities for Power-to-Gas plants in dynamic operation," Applied Energy, Elsevier, vol. 257(C).
  33. Lin, Boqiang & Wang, Xiaolei, 2014. "Promoting energy conservation in China's iron & steel sector," Energy, Elsevier, vol. 73(C), pages 465-474.
  34. Deviatkin, Ivan & Kozlova, Mariia & Yeomans, Julian Scott, 2021. "Simulation decomposition for environmental sustainability: Enhanced decision-making in carbon footprint analysis," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
  35. Santos, Maria João & Ferreira, Paula & Araújo, Madalena, 2016. "A methodology to incorporate risk and uncertainty in electricity power planning," Energy, Elsevier, vol. 115(P2), pages 1400-1411.
  36. Wei, Xinyang & Tong, Qing & Magill, Iain & Vithayasrichareon, Peerapat & Betz, Regina, 2020. "Evaluation of potential co-benefits of air pollution control and climate mitigation policies for China's electricity sector," Energy Economics, Elsevier, vol. 92(C).
  37. Shuangshuang Zhou & Juan Yang & Shiwei Yu, 2022. "A Stochastic Multi-Objective Model for China’s Provincial Generation-Mix Planning: Considering Variable Renewable and Transmission Capacity," Energies, MDPI, vol. 15(8), pages 1-26, April.
  38. Vithayasrichareon, Peerapat & Riesz, Jenny & MacGill, Iain F., 2015. "Using renewables to hedge against future electricity industry uncertainties—An Australian case study," Energy Policy, Elsevier, vol. 76(C), pages 43-56.
  39. Ioannou, Anastasia & Fuzuli, Gulistiani & Brennan, Feargal & Yudha, Satya Widya & Angus, Andrew, 2019. "Multi-stage stochastic optimization framework for power generation system planning integrating hybrid uncertainty modelling," Energy Economics, Elsevier, vol. 80(C), pages 760-776.
  40. Dornan, Matthew & Jotzo, Frank, 2015. "Renewable technologies and risk mitigation in small island developing states: Fiji’s electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 35-48.
  41. Vithayasrichareon, Peerapat & MacGill, Iain F., 2014. "Incorporating short-term operational plant constraints into assessments of future electricity generation portfolios," Applied Energy, Elsevier, vol. 128(C), pages 144-155.
  42. Pérez Odeh, Rodrigo & Watts, David & Flores, Yarela, 2018. "Planning in a changing environment: Applications of portfolio optimisation to deal with risk in the electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3808-3823.
  43. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
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