[1] HOUGHTON J T, FILHO L G M, GRIGGS D J, et al. Stabilization of atmospheric greenhouse gases:Physical, biological and socio-economic implications[R]. Geneva:IPCC, 1997.
[2] IEA. Global energy review:CO2 emissions in 2020 [R/OL]. (2021-03-02)[2021-08-01]. https://www.iea.org/articles/global-energy-review-co2-emissions-in-2020.
[3] 于宏源. 《巴黎协定》、新的全球气候治理与中国的战略选择[J]. 太平洋学报, 2016, 24(11):88-96. YU H Y. The Paris Agreement, a new global climate governance, and China's choice[J]. Pacific Journal, 2016, 24(11):88-96. (in Chinese)
[4] 莫小龙, 李湘昀, 冯超, 等. 碳达峰目标和碳中和愿景的机遇和挑战[J]. 世界环境, 2021(3):16-18. MO X L, LI X Y, FENG C, et al. Opportunities and challenges in achieving the carbon emission peak target and the carbon neutrality vision[J]. World Environment, 2021(3):16-18. (in Chinese)
[5] HU G X, MA X M, JI J P. Scenarios and policies for sustainable urban energy development based on LEAP model-A case study of a postindustrial city:Shenzhen, China[J]. Applied Energy, 2019, 238:876-886.
[6] YANG D W, LIU D D, HUANG A M, et al. Critical transformation pathways and socio-environmental benefits of energy substitution using a LEAP scenario modeling[J]. Renewable and Sustainable Energy Reviews, 2021, 135:110116.
[7] WANG K X, CHEN S, LIU L C, et al. Enhancement of renewable energy penetration through energy storage technologies in a CHP-based energy system for Chongming, China[J]. Energy, 2018, 162:988-1002.
[8] LUO S H, HU W H, LIU W, et al. Transition pathways towards a deep decarbonization energy system-A case study in Sichuan, China[J]. Applied Energy, 2021, 302:117507.
[9] ZHOU Z, LIU P, LI Z, et al. Economic assessment of a distributed energy system in a new residential area with existing grid coverage in China[J]. Computers & Chemical Engineering, 2013, 48:165-174.
[10] ZHOU Z, ZHANG J Y, LIU P, et al. A two-stage stochastic programming model for the optimal design of distributed energy systems[J]. Applied Energy, 2013, 103:135-144.
[11] CHEN Z H, AVRAAMIDOU S, LIU P, et al. Optimal design of integrated urban energy system under uncertainty and sustainability requirements[J]. Computer Aided Chemical Engineering, 2020, 48:1423-1428.
[12] 陈志昊, 刘培, 李政, 等. 新区综合能源系统多目标最优化设计[J]. 工程热物理学报, 2021, 42(1):33-39. CHEN Z H, LIU P, LI Z, et al. Multi-objective optimal design for the integrated energy system of a new urban area[J]. Journal of Engineering Thermophysics, 2021, 42(1):33-39. (in Chinese)
[13] LI J Z, LIU P, LI Z. Optimal design and techno-economic analysis of a solar-wind-biomass off-grid hybrid power system for remote rural electrification:A case study of west China[J]. Energy, 2020, 208:118387.
[14] ZHANG D J, LIU P, MA L W, et al. A multi-period modelling and optimization approach to the planning of China's power sector with consideration of carbon dioxide mitigation[J]. Computers & Chemical Engineering, 2012, 37:227-247.
[15] ZHANG D J, MA L W, LIU P, et al. A multi-period superstructure optimisation model for the optimal planning of China's power sector considering carbon dioxide mitigation:Discussion on China's carbon mitigation policy based on the model[J]. Energy Policy, 2012, 41:173-183.
[16] ZHANG D J, LIU P, MA L W, et al. A multi-period optimization model for optimal planning of China's power sector with consideration of carbon mitigation-The optimal pathway under uncertain parametric conditions[J]. Computers & Chemical Engineering, 2013, 50:196-206.
[17] CHENG R, XU Z F, LIU P, et al. A multi-region optimization planning model for China's power sector[J]. Applied Energy, 2015, 137:413-426.
[18] GUO Z, CHENG R, XU Z F, et al. A multi-region load dispatch model for the long-term optimum planning of China's electricity sector[J]. Applied Energy, 2017, 185:556-572.
[19] GUO Z, MA L W, LIU P, et al. A long-term multi-region load-dispatch model based on grid structures for the optimal planning of China's power sector[J]. Computers & Chemical Engineering, 2017, 102:52-63.
[20] CHEN S Y, LIU P, LI Z. Low carbon transition pathway of power sector with high penetration of renewable energy[J]. Renewable and Sustainable Energy Reviews, 2020, 130:109985.
[21] CHEN Z H, MA L W, LIU P, et al. Electric vehicle development in China:A charging behavior and power sector supply balance analysis[J]. Chemical Engineering Research and Design, 2018, 131:671-685.
[22] LI T X, LIU P, LI Z. Modelling and optimization of a multi-regional hydrogen supply system:A case study of China[J]. Computer Aided Chemical Engineering, 2020, 48:109-114.
[23] LI T X, LIU P, LI Z. Optimal scale of natural gas reserves in China under increasing and fluctuating demand:A quantitative analysis[J]. Energy Policy, 2021, 152:112221.
[24] LI T X, LIU P, LI Z. A multi-period and multi-regional modeling and optimization approach to energy infrastructure planning at a transient stage:A case study of China[J]. Computers & Chemical Engineering, 2020, 133:106673.
[25] LI T X, LIU P, LI Z. Quantitative relationship between low-carbon pathways and system transition costs based on a multi-period and multi-regional energy infrastructure planning approach:A case study of China[J]. Renewable and Sustainable Energy Reviews, 2020, 134:110159.
[26] LI W Q, LI Z, LIANG J J, et al. The optimal oil-saving pathway until 2030 for China road passenger transportation based on a cost optimisation model[J]. Chemical Engineering Transactions, 2015, 45:1885-1890.
[27] LI W Q, DAI Y P, MA L W, et al. Oil-saving pathways until 2030 for road freight transportation in China based on a cost-optimization model[J]. Energy, 2015, 86:369-384.