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Techno-economic assessment of utilization pathways for rice straw: A simulation-optimization approach

机译:稻草利用途径的技术经济评估:一种模拟优化方法

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Countries all over the world try to promote the use of biomass in order to reach environmental goals. However, existing technologies and products contain many uncertainties that make the assessment of economically and environmentally sustainable utilization pathways very challenging. One country with an extremely high biomass potential is Thailand, where the strong agricultural sector produces large amounts of agricultural residues, such as rice straw. Therefore, the objective of the article is to analyze different utilization pathways for rice straw potentials in central Thailand. Four different technologies (combustion, gasification, pyrolysis, and pelletizing) are assessed, and economically favorable applications are investigated. Two types of uncertainties are included within a hybrid simulation-optimization approach. First, uncertainties for technological and economic factors of each component of the supply chain are included in a Monte Carlo simulation. Second, uncertain framework conditions such as political goals, demand for bioenergy, or fuel prices are included as scenarios in the stochastic optimization model, which at the same time processes the results of the Monte Carlo simulation. This approach allows for the evaluation of the percentage of the rice straw potential in central Thailand that could be utilized from an economic perspective. However, the results indicate that only 46-65 percent of the rice straw could be processed in a profitable way. Considering the analyzed technologies, the production of pyrolysis oil was identified to be the economically best utilization path for rice straw, which is in line with Thailand's target of 0.5 million liters of pyrolysis oil to be used in 2036 per day. (C) 2019 Elsevier Ltd. All rights reserved.
机译:世界各国都在努力促进生物质的使用,以实现环境目标。但是,现有技术和产品包含许多不确定性,这使得对经济和环境可持续利用途径的评估非常具有挑战性。一个生物量潜力极高的国家是泰国,那里的农业实力雄厚,会产生大量的农业残留物,例如稻草。因此,本文的目的是分析泰国中部稻草潜力的不同利用途径。评估了四种不同的技术(燃烧,气化,热解和造粒),并对经济上有利的应用进行了研究。混合仿真优化方法中包括两种类型的不确定性。首先,蒙特卡洛模拟中包括了供应链各组成部分的技术和经济因素的不确定性。其次,随机优化模型中包括了诸如政治目标,生物能源需求或燃料价格等不确定的框架条件,这些方案同时处理了蒙特卡洛模拟的结果。这种方法可以评估泰国中部稻米潜力的百分比,可以从经济角度加以利用。但是,结果表明,只有46-65%的稻草可以以有利可图的方式进行处理。考虑到所分析的技术,热解油的生产被确定为稻草的最佳经济利用途径,这与泰国设定的到2036年每天使用50万升热解油的目标相符。 (C)2019 Elsevier Ltd.保留所有权利。

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