This work addressed the multi-objective optimization of a biogas production system considering both environmental and economic criteria. A mixed integer non-linear programming(MINLP) model was established and solved w...
详细信息
This work addressed the multi-objective optimization of a biogas production system considering both environmental and economic criteria. A mixed integer non-linear programming(MINLP) model was established and solved with non-dominated sorting genetic algorithm ⅱ, from which the Pareto fronts, the optimal technology combinations and operation conditions were obtained and analyzed. It's found that the system is feasible in both environmental and economic considerations after optimization. The most expensive processing section is decarbonization; the most expensive equipment is anaerobic digester; the most power-consuming processing section is digestion, followed by decarbonization and waste management. The positive green degree value on the process is attributed to processing section of digestion and waste management. 3:1 chicken feces and corn straw, solar energy, pressure swing adsorption and 3:1 chicken feces and rice straw, solar energy, pressure swing adsorption are turned out to be two robust technology combinations under different prices of methane and electricity by sensitivity analysis. The optimization results provide support for optimal design and operation of biogas production system considering environmental and economic objectives.
Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is carried out in this paper by using a process modei that has been proved to describe industrial process quite well. The modei is a se...
详细信息
Multi-objective optimization of a purified terephthalic acid (PTA) oxidation unit is carried out in this paper by using a process modei that has been proved to describe industrial process quite well. The modei is a semi-empirical structured into two series ideal continuously stirred tank reactor (CSTR) models. The optimal objectives include maximizing the yield or inlet rate and minimizing the concentration of 4-carboxy-benzaldhyde, which is the main undesirable intermediate product in the reaction process. The multi-objective optimization algorithra applied in this study is non-dominated sorting genetic algorithm ⅱ (NSGA-Ⅱ). The performance of NSGA-Ⅱ is further illustrated by application to the title process.
The energy recovery linac test facility （ERL-TF）, a compact ERL-FEL （free electron laser） two-purpose machine, has been proposed at the Institute of High Energy Physics, Beijing. As one important component of the ...
详细信息
The energy recovery linac test facility （ERL-TF）, a compact ERL-FEL （free electron laser） two-purpose machine, has been proposed at the Institute of High Energy Physics, Beijing. As one important component of the ERL-TF, the photo-injector was designed and preliminarily optimized. In this paper an evolutionary genetic method, non-dominatedsortinggeneticalgorithm II, is applied to optimize the injector beam dynamics, especially in the high-charge operation mode. Study shows that using an incident laser with rms transverse size of 1-1.2 ram, the normalized emittance of the electron beam can be kept below 1 *** at the end of the injector. This work, together with the previous optimization of the low-charge operation mode by using the iterative scan method, provides guidance and confidence for future construction and commissioning of the ERL-TF injector.
The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was *** OTLAMR problem contains two sub-problems: the MMMCN reliabiliti...
详细信息
The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was *** OTLAMR problem contains two sub-problems: the MMMCN reliabilities evaluation and multi-objective transmission lines assignment ***, a reliability evaluation with a transmission line assignment (RETLA) algorithm is proposed to calculate the MMMCN reliabilities under the cost constraint for a certain transmission lines ***, the non-dominated sorting genetic algorithm ⅱ (NSGA-Ⅱ) is adopted to find the non-dominated set of the transmission lines assignments based on the reliabilities obtained from the RETLA *** combining the RETLA and the NSGA-Ⅱ algorithms together, the RETLA-NSGA Ⅱ algorithm is proposed to solve the OTLAMR *** experiments result show that the RETLA-NSGA Ⅱ algorithm can provide efficient solutions in a reasonable time, from which the decision makers can choose the best solution based on their preferences and experiences.
With the continuous development of our country's economy and the gradual upgrading of the market consumption structure,customer demand for products has gradually shifted from the previous batch to *** large-scale ...
详细信息
With the continuous development of our country's economy and the gradual upgrading of the market consumption structure,customer demand for products has gradually shifted from the previous batch to *** large-scale processing and manufacturing can no longer meet the market's requirements for product individuation,customization,and ***,more and more companies are turning to a multi-variety,small-batch discrete production *** a production perspective,the production mode of customized discrete processing often has many orders and discrete processing *** is difficult to formulate scientific and reasonable production scheduling plans by manual ***,the manual methods may cause many problems such as untimely order production,uneven equipment load distribution,and long waiting time for *** addition,how to predict the production completion time of orders to the greatest extent,and how to quickly deal with dynamic situations such as equipment failures,rush orders,and order cancellations are also problems that customized discrete processing enterprises need to face.
This paper takes the discrete processing enterprise as the background,the formulation of efficient and reasonable production scheduling plans as the *** the same time,we combined the optimization method of the non-dominatedsortinggeneticalgorithm II(NSGA-II),and researched a system called Advanced Planning and Scheduling system(APS)that can formulate useful production plans for the ***,an APS system suitable for customized discrete processing enterprises was designed and implemented.
Firstly,this paper studies the theoretical knowledge related to the APS system,expounds the development of APS,points out the defects of ERP(Enterprise Resource Planning)in production scheduling,and discusses the characteristics,constraints,and core aspects of the APS system that is more suitable for production ***,the APS o
暂无评论