乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原...乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原料实现提高物效、降低能耗提供了空间。对于此类工厂间原料调度及能耗优化问题提出了一种基于P-graph的建模和优化方法 (scheduling generation based on P-graph, SGBP算法),该算法通过P-graph本身提取过程结构信息的能力,在加速求解的同时,保留了次优解集。之后以两个实际的乙烯厂为研究实例,采用提出的SGBP方法实现了原料调度的建模和优化,该方法与MINLP优化算法的对比分析验证了提出方法的优势:(1)可以同时提供较为丰富的最优解与次优解方案;(2)提出方法的最优结果与MINLP的优化效果相当;(3)优化后的整体能耗下降明显,为生产计划人员选择可采用灵活的原料调配方案提供了多种可选择的运行方案。展开更多
Domestic hot water(DHW)systems contribute significantly to the building sector’s energy consumption and carbon emissions,making innovative optimization methods crucial for enhancing DHW energy efficiency.Existing DHW...Domestic hot water(DHW)systems contribute significantly to the building sector’s energy consumption and carbon emissions,making innovative optimization methods crucial for enhancing DHW energy efficiency.Existing DHW system optimizations focus on design parameters and operation modes,but their applicability is limited to specific systems and configurations,overlooking more efficient alternatives.To overcome this problem,combining visualized graphic and algebraic techniques,this study introduces a novel bi-level expanded Process Graph optimization method(BEPGOM)to optimize a DHW system with diverse component-candidates.BEPGOM effectively identifies nontrivial configurations,substantially improving economic and environmental benefits,and enhances solvability with a 98%reduction in solution space.The optimal configuration,consisting of solar heating,PCM tank,and natural gas water heater,reduces the expenditures by 18%and equivalent CO_(2) emission by 34%compared to the existing base case,greatly exceeding the traditional optimization method.Its adaptability,efficiency,and accessibility make BEPGOM a valuable tool in advancing energy system design and promoting carbon neutrality in the building sector.展开更多
文摘乙烯工业不同的裂解装置间存在着设备、技术上的差别,每一种原料在乙烯工厂不同炉型或工艺的裂解装置的乙烯产品收率、能耗也存在着差别。随着新的乙烯工厂的投产,需要同时运行台数众多的差异化裂解装置,从而为通过优化调度乙烯裂解原料实现提高物效、降低能耗提供了空间。对于此类工厂间原料调度及能耗优化问题提出了一种基于P-graph的建模和优化方法 (scheduling generation based on P-graph, SGBP算法),该算法通过P-graph本身提取过程结构信息的能力,在加速求解的同时,保留了次优解集。之后以两个实际的乙烯厂为研究实例,采用提出的SGBP方法实现了原料调度的建模和优化,该方法与MINLP优化算法的对比分析验证了提出方法的优势:(1)可以同时提供较为丰富的最优解与次优解方案;(2)提出方法的最优结果与MINLP的优化效果相当;(3)优化后的整体能耗下降明显,为生产计划人员选择可采用灵活的原料调配方案提供了多种可选择的运行方案。
基金supported by the Natural Science Foundation of Sichuan Province (No.2022NSFSC0277)the Guangdong Basic and Applied Basic Research Foundation (No.2022A1515011183)the Research Grants Council of Hong Kong (No.CityU 11212620,No.CityU 11215621,No.CityU 11218922).
文摘Domestic hot water(DHW)systems contribute significantly to the building sector’s energy consumption and carbon emissions,making innovative optimization methods crucial for enhancing DHW energy efficiency.Existing DHW system optimizations focus on design parameters and operation modes,but their applicability is limited to specific systems and configurations,overlooking more efficient alternatives.To overcome this problem,combining visualized graphic and algebraic techniques,this study introduces a novel bi-level expanded Process Graph optimization method(BEPGOM)to optimize a DHW system with diverse component-candidates.BEPGOM effectively identifies nontrivial configurations,substantially improving economic and environmental benefits,and enhances solvability with a 98%reduction in solution space.The optimal configuration,consisting of solar heating,PCM tank,and natural gas water heater,reduces the expenditures by 18%and equivalent CO_(2) emission by 34%compared to the existing base case,greatly exceeding the traditional optimization method.Its adaptability,efficiency,and accessibility make BEPGOM a valuable tool in advancing energy system design and promoting carbon neutrality in the building sector.
