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Planning regional energy system in association with greenhouse gas mitigation under uncertainty

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  1. Yang, Kun & Ding, Yan & Zhu, Neng & Yang, Fan & Wang, Qiaochu, 2018. "Multi-criteria integrated evaluation of distributed energy system for community energy planning based on improved grey incidence approach: A case study in Tianjin," Applied Energy, Elsevier, vol. 229(C), pages 352-363.
  2. Li, G.C. & Huang, G.H. & Sun, W. & Ding, X.W., 2014. "An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment," Renewable Energy, Elsevier, vol. 64(C), pages 153-163.
  3. Zhang, Qi & Li, Zhan & Wang, Ge & Li, Hailong, 2016. "Study on the impacts of natural gas supply cost on gas flow and infrastructure deployment in China," Applied Energy, Elsevier, vol. 162(C), pages 1385-1398.
  4. Lu, Heli & Liu, Guifang, 2014. "Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting," Applied Energy, Elsevier, vol. 131(C), pages 297-306.
  5. Parkinson, Simon C. & Djilali, Ned, 2015. "Long-term energy planning with uncertain environmental performance metrics," Applied Energy, Elsevier, vol. 147(C), pages 402-412.
  6. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
  7. Guangxiao Hu & Xiaoming Ma & Junping Ji, 2017. "A Stochastic Optimization Model for Carbon Mitigation Path under Demand Uncertainty of the Power Sector in Shenzhen, China," Sustainability, MDPI, vol. 9(11), pages 1-12, October.
  8. Zhou, Y. & Li, Y.P. & Huang, G.H., 2015. "Planning sustainable electric-power system with carbon emission abatement through CDM under uncertainty," Applied Energy, Elsevier, vol. 140(C), pages 350-364.
  9. Wu, Gang & Liu, Lan-Cui & Han, Zhi-Yong & Wei, Yi-Ming, 2012. "Climate protection and China’s energy security: Win–win or tradeoff," Applied Energy, Elsevier, vol. 97(C), pages 157-163.
  10. 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.
  11. Jin, S.W. & Li, Y.P. & Huang, G.H. & Nie, S., 2018. "Analyzing the performance of clean development mechanism for electric power systems under uncertain environment," Renewable Energy, Elsevier, vol. 123(C), pages 382-397.
  12. Tolis, Athanasios I. & Rentizelas, Athanasios A., 2011. "An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios," Applied Energy, Elsevier, vol. 88(11), pages 3791-3806.
  13. Nie, S. & Huang, Z.C. & Huang, G.H. & Yu, L. & Liu, J., 2018. "Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties," Applied Energy, Elsevier, vol. 221(C), pages 249-267.
  14. Zhu, Y. & Li, Y.P. & Huang, G.H., 2012. "Planning municipal-scale energy systems under functional interval uncertainties," Renewable Energy, Elsevier, vol. 39(1), pages 71-84.
  15. Han, Jee-Hoon & Ahn, Yu-Chan & Lee, In-Beum, 2012. "A multi-objective optimization model for sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design considering economic profit and financial risk," Applied Energy, Elsevier, vol. 95(C), pages 186-195.
  16. Patrizio, P. & Leduc, S. & Chinese, D. & Kraxner, F., 2017. "Internalizing the external costs of biogas supply chains in the Italian energy sector," Energy, Elsevier, vol. 125(C), pages 85-96.
  17. Dianzheng Fu & Tianji Yang & Yize Huang & Yiming Tong, 2022. "Integrated Optimization for Biofuel Management Associated with a Biomass-Penetrated Heating System under Multiple and Compound Uncertainties," Energies, MDPI, vol. 15(15), pages 1-21, July.
  18. Piao, M.J. & Li, Y.P. & Huang, G.H. & Nie, S., 2015. "Risk analysis for Shanghai's electric power system under multiple uncertainties," Energy, Elsevier, vol. 87(C), pages 104-119.
  19. Ma, Y. & Li, Y.P. & Mei, H. & Nie, S. & Huang, G.H. & Li, Y.F. & Suo, C., 2024. "Potential way to plan China's power system (2021–2050) for climate change mitigation," Renewable Energy, Elsevier, vol. 225(C).
  20. Jin, L. & Huang, G.H. & Fan, Y.R. & Wang, L. & Wu, T., 2015. "A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China," Applied Energy, Elsevier, vol. 138(C), pages 71-90.
  21. Song, Tangnyu & Huang, Guohe & Zhou, Xiong & Wang, Xiuquan, 2018. "An inexact two-stage fractional energy systems planning model," Energy, Elsevier, vol. 160(C), pages 275-289.
  22. Zhu, Y. & Huang, G.H. & Li, Y.P. & He, L. & Zhang, X.X., 2011. "An interval full-infinite mixed-integer programming method for planning municipal energy systems - A case study of Beijing," Applied Energy, Elsevier, vol. 88(8), pages 2846-2862, August.
  23. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
  24. Cosmi, Carmelina & Dvarionenė, Jolanta & Marques, Isabel & Di Leo, Senatro & Gecevičius, Giedrius & Gurauskienė, Inga & Mendes, Gisela & Selada, Catarina, 2015. "A holistic approach to sustainable energy development at regional level: The RENERGY self-assessment methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 693-707.
  25. Zhu, Y. & Li, Y.P. & Huang, G.H. & Fu, D.Z., 2013. "Modeling for planning municipal electric power systems associated with air pollution control – A case study of Beijing," Energy, Elsevier, vol. 60(C), pages 168-186.
  26. Han, Jee-Hoon & Lee, In-Beum, 2011. "Development of a scalable infrastructure model for planning electricity generation and CO2 mitigation strategies under mandated reduction of GHG emission," Applied Energy, Elsevier, vol. 88(12), pages 5056-5068.
  27. Akorede, M.F. & Hizam, H. & Ab Kadir, M.Z.A. & Aris, I. & Buba, S.D., 2012. "Mitigating the anthropogenic global warming in the electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2747-2761.
  28. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
  29. Hou, Rui & Deng, Guangzhi & Wu, Minrong & Wang, Wei & Gao, Wei & Chen, Kang & Liu, Lijun & Dehan, Sim, 2023. "Optimum exploitation of an integrated energy system considering renewable sources and power-heat system and energy storage," Energy, Elsevier, vol. 282(C).
  30. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
  31. Welsch, M. & Hermann, S. & Howells, M. & Rogner, H.H. & Young, C. & Ramma, I. & Bazilian, M. & Fischer, G. & Alfstad, T. & Gielen, D. & Le Blanc, D. & Röhrl, A. & Steduto, P. & Müller, A., 2014. "Adding value with CLEWS – Modelling the energy system and its interdependencies for Mauritius," Applied Energy, Elsevier, vol. 113(C), pages 1434-1445.
  32. Viholainen, Juha & Luoranen, Mika & Väisänen, Sanni & Niskanen, Antti & Horttanainen, Mika & Soukka, Risto, 2016. "Regional level approach for increasing energy efficiency," Applied Energy, Elsevier, vol. 163(C), pages 295-303.
  33. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2013. "Heat recovery with heat pumps in non-energy intensive industry: A detailed bottom-up model analysis in the French food & drink industry," Applied Energy, Elsevier, vol. 111(C), pages 489-504.
  34. Yulei Xie & Linrui Wang & Guohe Huang & Dehong Xia & Ling Ji, 2018. "A Stochastic Inexact Robust Model for Regional Energy System Management and Emission Reduction Potential Analysis—A Case Study of Zibo City, China," Energies, MDPI, vol. 11(8), pages 1-24, August.
  35. Li, Y.P. & Huang, G.H. & Li, M.W., 2014. "An integrated optimization modeling approach for planning emission trading and clean-energy development under uncertainty," Renewable Energy, Elsevier, vol. 62(C), pages 31-46.
  36. Mirakyan, Atom & De Guio, Roland, 2015. "Modelling and uncertainties in integrated energy planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 62-69.
  37. Tavana, Madjid & Khosrojerdi, Ghasem & Mina, Hassan & Rahman, Amirah, 2019. "A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process," Evaluation and Program Planning, Elsevier, vol. 77(C).
  38. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
  39. J. Magnier, Hamza & Jrad, Asmaa, 2019. "A minimal simplified model for assessing and devising global LNG equilibrium trade portfolios while maximizing energy security," Energy, Elsevier, vol. 173(C), pages 1221-1233.
  40. Chen, F. & Huang, G.H. & Fan, Y.R. & Chen, J.P., 2017. "A copula-based fuzzy chance-constrained programming model and its application to electric power generation systems planning," Applied Energy, Elsevier, vol. 187(C), pages 291-309.
  41. D. Fu & Y. Li & G. Huang, 2013. "A Factorial-based Dynamic Analysis Method for Reservoir Operation Under Fuzzy-stochastic Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4591-4610, October.
  42. Buchholz, Stefanie & Gamst, Mette & Pisinger, David, 2020. "Sensitivity analysis of time aggregation techniques applied to capacity expansion energy system models," Applied Energy, Elsevier, vol. 269(C).
  43. Guan, Panbo & Huang, Guohe & Wu, Chuanbao & Wang, Linrui & Li, Chaoci & Wang, Yuanyi, 2019. "Analysis of emission taxes levying on regional electric power structure adjustment with an inexact optimization model - A case study of Zibo, China," Energy Economics, Elsevier, vol. 84(C).
  44. Tonini, Davide & Astrup, Thomas, 2012. "LCA of biomass-based energy systems: A case study for Denmark," Applied Energy, Elsevier, vol. 99(C), pages 234-246.
  45. Jin, S.W. & Li, Y.P. & Nie, S. & Sun, J., 2017. "The potential role of carbon capture and storage technology in sustainable electric-power systems under multiple uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 467-480.
  46. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
  47. Tsai, Ming-Tang & Yen, Chih-Wei, 2011. "The influence of carbon dioxide trading scheme on economic dispatch of generators," Applied Energy, Elsevier, vol. 88(12), pages 4811-4816.
  48. Chen, C. & Li, Y.P. & Huang, G.H., 2013. "An inexact robust optimization method for supporting carbon dioxide emissions management in regional electric-power systems," Energy Economics, Elsevier, vol. 40(C), pages 441-456.
  49. Wang, Xingwei & Cai, Yanpeng & Chen, Jiajun & Dai, Chao, 2013. "A grey-forecasting interval-parameter mixed-integer programming approach for integrated electric-environmental management–A case study of Beijing," Energy, Elsevier, vol. 63(C), pages 334-344.
  50. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
  51. Chen, C. & Li, Y.P. & Huang, G.H. & Zhu, Y., 2012. "An inexact robust nonlinear optimization method for energy systems planning under uncertainty," Renewable Energy, Elsevier, vol. 47(C), pages 55-66.
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