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Optimization of biomass to bioenergy supply chain with tri-generation and district heating and cooling network systems

机译:利用三代和区域供热和制冷网络系统优化生物质供应链中的生物质

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Bismil district of Diyarbakir (Turkey) is a region where agricultural activities are very common. About 60% of the terrain is irrigable. Cotton and corn are mostly grown in these irrigable lands. Given the bioenergy incentive provided by the Republic of Turkey and the extensiveness of agricultural lands in Turkey, energy production from cotton and corn residues in the rn-generation facility through gasification conversion technology seems like a quite profitable investment. In this study, a mixed-integer linear programming model, which optimizes the numbers, locations, and capacities of the tri-generation facility/s, was developed and empirically solved. The model tries to maximize the net present value of the potential investment by comparing the trade-offs between the raw material/end-product transportation costs, facility/s, and pipeline installation costs. Electricity and heating/cooling energy were sold to the government and settlements through the closest interconnected lines and pipelines, respectively. In this study, electricity, the heating/cooling energy and the fertilizer (biochar) sale were considered for the calculation of annual revenue, while transportation of raw materials and heating/cooling energy, losses during heat transfer and electricity transmission, operation and maintenance costs of facilities and pipelines were considered for the calculation of annual expenses. Initial investment cost includes facility, pipeline, and electricity transmission installation costs. The model proposes one facility with an installed power of approximately 35 MW which met cooling energy demand of 3 settlements, both cooling and heat energy demand of 2 settlements. The net present value of the investment is almost 338 million EUR and the repayment period is 1.3 years.
机译:迪亚巴克尔(土耳其)的比斯米尔地区是农业活动非常普遍的地区。大约60%的地形是可灌溉的。棉花和玉米主要生长在这些灌溉土地上。考虑到土耳其共和国提供的生物能源激励措施以及土耳其农业用地的广泛性,利用气化转化技术从rn发电设施中的棉花和玉米残留物中生产能源似乎是一项颇有利润的投资。在这项研究中,开发并凭经验解决了混合整数线性规划模型,该模型优化了第三代设施的数量,位置和容量。该模型试图通过比较原材料/最终产品运输成本,设施和管道安装成本之间的折衷来最大化潜在投资的净现值。电力和热/冷能分别通过最近的相互连接的管线和管道出售给政府和居民点。在这项研究中,考虑了电,热/冷能和化肥(生物炭)的销售,以计算年收入,而原材料和热/冷能的运输,热传递和输电过程中的损失,运营和维护成本考虑设施和管道的数量来计算年度费用。初始投资成本包括设施,管道和输电安装成本。该模型提出了一种装机功率约为35 MW的设施,该设施可以满足3个居民点的冷却能源需求,同时满足2个居民点的冷却和热能需求。该投资的净现值接近3.38亿欧元,还款期为1.3年。

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