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Efficiency and economic benefit of dark-fermentative biohydrogen production in Asian circular economies: Evaluation using soft-link methodology with data envelopment analysis (DEA) and computable general equilibrium model (CGE)

机译:亚洲循环经济中暗发酵生物氢生产的效率和经济效益:使用带有数据包络分析(DEA)和可计算的一般均衡模型(CGE)的软链接方法进行评估

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摘要

This study combines a data envelopment analysis, a dynamic computable general equilibrium model with estimated secondary material flows for circular economy, based on economist Joseph Schumpeter's macroeconomic theory, to develop a novel soft-link model to determine the efficiency of forty-three dark-fermentative technology of biohydrogen, and technology improvement impacts on biohydrogen output and supply price for six major emerging Asian countries. The integrated model is found to be feasible.This study finds that efficiency of continuous technology significantly exceeds that of batch technology. Biomass substrate concentration is the most important input in the generation of biohydrogen statistically; pH influences the efficiency of the batch technology, and the efficiency of continuous production technologies significantly exceeds that of batch technologies, but still have a gap to improve to full production efficiency for most of continuous technologies. India and China generate highest output growth of biohydrogen in baseline scenario. Japan and India can most benefit from improvements in batch and continuous biohydrogen production technology. The models and results of this study provides guidelines and references for decision-makers in industry and government who are responsible for reforming future energy policy. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:这项研究基于经济学家约瑟夫·熊彼特的宏观经济理论,结合了数据包络分析,动态计算的一般均衡模型和估计的循环经济次级物质流,以开发一种新颖的软链接模型来确定四十三种暗发酵的效率生物氢技术以及技术进步对六个主要新兴亚洲国家的生物氢产量和供应价格的影响。该集成模型被认为是可行的。本研究发现,连续技术的效率大大超过了批处理技术。从统计学上讲,生物质底物浓度是生物氢产生中最重要的输入。 pH值影响分批技术的效率,连续生产技术的效率大大超过了分批技术,但对于大多数连续技术而言,仍存在提高到完全生产效率的差距。在基准情景中,印度和中国的生物氢产量增长最高。日本和印度将从分批和连续生物氢生产技术的改进中受益最大。本研究的模型和结果为负责改革未来能源政策的工业和政府决策者提供了指导和参考。 (C)2019氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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