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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Energy Equipment and Systems
- نوع مقاله: Journal Article
- کلمات کلیدی: optimization,biomass,Desalination,Solar Energy,Multigeneration
- چکیده:
- چکیده انگلیسی: Integrated energy systems utilizing renewable sources are sustainable and environmentally substitutes for conventional fossil-fired energy systems. A new multigeneration plant with two inputs, such as biomass and solar energy, and four useful outputs, such as cooling, heating, power, and distilled water, is presented and investigated in this paper. The proposed system includes evacuated tube solar collectors, biomass burners, the organic rankine cycle (ORC), absorption chillers, heaters, and a multi-effect desalination system (MED). The results showed that the proposed system can produce 802.5 kW for power, 10391 kW for heating, 5658 kW for cooling, and 9.328 kg/s for distilled water. The energy efficiency of the system is 61%, while the exergy efficiency is 7% and the main sources of exergy destructions are biomass burner, evacuated tube solar collectors, and the vapour generator. Exergy optimization is carried out to find the optimum point of the system.
- انتشار مقاله: 14-11-1394
- نویسندگان: Alireza Noorpoor,Parisa Heidarnejad,Nasim Hashemian,Amir Ghasemi
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic Algorithm,Simulated annealing algorithm,Scheduling,Supply Chain,Transport Planning
- چکیده:
- چکیده انگلیسی: In this paper a scheduling problem in a 2-stage supply chain is discussed. Suppliers are in the first stage and in the second stage, there are vehicles which carry orders to a manufacturing center. The purpose is to allocate orders to suppliers, sequence the suppliers’ production, allocate orders to transport vehicles and prioritize orders that should be carried by vehicles to minimize the total time of the process and transportation. This issue has not yet been discussed in the literature. First, a mixed integer programming mathematical model is presented. Then, in order to solve the problem, a new algorithm is proposed which is a new combination of genetic and Simulated Annealing Algorithms. To evaluate the performance of the algorithm, it is compared with one of the algorithms presented in the literature, genetic algorithm and simulated annealing algorithm, separately. Comparison results indicate the advantage of the proposed algorithm in comparison with other algorithms.
- انتشار مقاله: 16-12-1393
- نویسندگان: Mohammad Ali Beheshtinia,Amir Ghasemi,Moein Farokhnia
- مشاهده