基于“碳达峰、碳中和”战略目标,研究考虑碳减排的共燃发电厂选址决策问题.受天气状况、市场环境等外部因素的影响,生物质供应能力和生物质价格等参数具有不确定性,构造一个非精确可能性分布集来描述问题中的不确定参数,进而建立一个分布鲁棒可信性选址优化模型.通过推导鲁棒可信性目标和鲁棒可信性约束的等价形式,将原模型重构为一个可计算的混合整数线性规划模型.最后利用算例分析验证提出方法的有效性.
Based on the strategic goal of carbon peak and carbon neutrality, this paper studies the decision-making problem of co-firing power plant location considering carbon emission reduction. Due to the influence of weather conditions, market environments and other external factors, the parameters such as biomass supply capacity and biomass price are uncertain. To address this problem, this paper constructs an ambiguity set of possibility distributions to characterize the uncertain parameters, and then proposes a distributionally robust credibility location optimization model. The original model is reformulated as a computable mixed-integer linear programming model by deriving the equivalent forms of robust credibility objective and robust credibility constraint. Finally, the effectiveness of the proposed method is demonstrated by an example.
[1] International Energy Agency. Globalized energy review: CO2 emiesions in 2021[R]. France: IEA, 2022:3-4.
[2] 王勇.碳排放是能源可持续发展的最大挑战—《BP2023年世界能源展望》摘要[J].国际石油经济,2014,22(6):22-27.
[3] KHADEMI A, EKSIOGLU S. Optimal governmental incentives for biomass cofiring to reduce emissions in the short-term[J]. IISE Trans, 2021, 53(8): 883-896. DOI: 10.1080/24725854.2020.1718247.
[4] BIBERACHER M, TUM M, GÜNTHER K P, et al. Availability assessment of bioenergy and power plant location optimization: a case study for Pakistan[J]. Renew Sustain Energy Rev, 2015, 42: 700-711. DOI: 10.1016/j.rser.2014.10.036.
[5] BOJIC S, MARTINOV M, BRCANOV D, et al. Location problem of lignocellulosic bioethanol plant - Case study of Serbia[J]. J Clean Prod, 2018, 172: 971-979. DOI: 10.1016/j.jclepro.2017.10.265.
[6] JAYARATHNA L, KENT G, O’HARA I, et al. A Geographical Information System based framework to identify optimal location and size of biomass energy plants using single or multiple biomass types[J]. Appl Energy, 2020, 275: 115398. DOI: 10.1016/j.apenergy.2020.115398.
[7] 刘喆轩,邱彤,陈丙珍.多期生物燃料供应链网络建模与多目标优化[J].化工学报, 2014, 65(7): 2802-2812. DOI: 10.3969/j.issn.0438-1157.2014.07.042.
[8] MOHD IDRIS M N, HASHIM H, RAZAK N H. Spatial optimisation of oil palm biomass co-firing for emissions reduction in coal-fired power plant[J]. J Clean Prod, 2018, 172: 3428-3447. DOI: 10.1016/j.jclepro.2017.11.027.
[9] MARTÍNEZ-GUIDO S I, RÍOS-BADRÁN I M, GUTIÉRREZ-ANTONIO C, et al. Strategic planning for the use of waste biomass pellets in Mexican power plants[J]. Renew Energy, 2019, 130: 622-632. DOI: 10.1016/j.renene.2018.06.084.
[10] KARIMI H, EK?瘙塁IOG ˇLU S D, CARBAJALES-DALE M. A biobjective chance constrained optimization model to evaluate the economic and environmental impacts of biopower supply chains[J]. Ann Oper Res, 2021, 296(1): 95-130. DOI: 10.1007/s10479-019-03331-x.
[11] AHMADVAND S, SOWLATI T. A bi-objective robust model for minimization of costs and emissions of syngas supply chain[J]. Comput Chem Eng, 2023, 179: 108404. DOI: 10.1016/j.compchemeng.2023.108404.
[12] ARANGUREN M F, CASTILLO-VILLAR K K. Bi-objective stochastic model for the design of large-scale carbon footprint conscious co-firing biomass supply chains[J]. Comput Ind Eng, 2022, 171: 108352. DOI: 10.1016/j.cie.2022.108352.
[13] NAYERI S, PAYDAR M M, ASADI-GANGRAJ E, et al. Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design[J]. Comput Ind Eng, 2020, 148: 106716. DOI: 10.1016/j.cie.2020.106716.
[14] ILBAHAR E, KAHRAMAN C, CEBI S. Location selection for waste-to-energy plants by using fuzzy linear programming[J]. Energy, 2021, 234: 121189. DOI: 10.1016/j.energy.2021.121189.
[15] 刘彦奎,刘颖.鲁棒可信性优化的新进展[J].河北大学学报(自然科学版), 2021, 41(5): 457-462. DOI: 10.3969/j.issn.1000-1565.2021.05.002.
[16] 白雪洁.应急物资预置问题的可信性优化模型[J].数学的实践与认识, 2017, 47(14): 267-276. DOI: CNKI:SOH:SSJS.0.017-14-029.
[17] 刘颖,冯雪芹.能力导向下的模糊项目组合优化[J].河北大学学报(自然科学版), 2018, 38(4): 346-355. DOI: 10.3969/j.issn.1000-1565.2018.04.002.
[18] CAMPBELL J E, LOBELL D B, FIELD C B. Greater transportation energy and GHG offsets from bioelectricity than ethanol[J]. Science, 2009, 324(5930): 1055-1057. DOI: 10.1126/science.1168885.
[19] 刘彦奎.可信测度论:一种处理主观不确定性的方法[M].科学出版社, 2018.
[20] SAGHAEI M, GHADERI H, SOLEIMANI H. Design and optimization of biomass electricity supply chain with uncertainty in material quality, availability and market demand[J]. Energy, 2020, 197: 117165. DOI: 10.1016/j.energy.2020.117165.
[21] SUN R W, LIU T T, CHEN X D, et al. A biomass-coal co-firing based bi-level optimal approach for carbon emission reduction in China[J]. J Clean Prod, 2021, 278: 123318. DOI: 10.1016/j.jclepro.2020.123318. (
