Comparative Economic Analysis Between Bioenergy and Forage Types of Switchgrass for Sustainable Biofuel Feedstock Production: A Data Envelopment Analysis and Cost–Benefit Analysis Approach

IF 4.1 3区 工程技术 Q1 AGRONOMY Global Change Biology Bioenergy Pub Date : 2025-01-24 DOI:10.1111/gcbb.70020
Muhammad Umer Arshad, David Archer, Daniel Wasonga, Nictor Namoi, Arvid Boe, Rob Mitchell, Emily Heaton, Madhu Khanna, DoKyoung Lee
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Abstract

The capacity to produce switchgrass efficiently and cost-effectively across diverse environments can be pivotal in achieving the short- and medium-term Sustainable Aviation Fuel targets set by the U.S. Department of Energy. This study evaluated the economic performance of forage- and bioenergy-type switchgrass cultivars and their response to N fertilization under diverse marginal environments across the US Midwest that included Illinois (IL), Iowa (IA), Nebraska (NE), and South Dakota (SD). Data Envelopment Analysis (DEA) was used to evaluate the efficiency of 23 Decision-Making Units (DMUs)—cultivar types and N fertilization rate combinations—while a cost–benefit analysis calculated their profitability over 5 years. Results showed that two energy-type cultivars—“Independence” and “Liberty”—were superior economically to the forage cultivars. Independence performed best with the highest profit margin when fertilized at 56 kg N ha−1, particularly in the US hardiness zone 6a (Urbana, IL). Liberty exhibited the highest profit margins in hardiness zone 5b (Madrid, IA, and Ithaca, NE) at 56 kg N ha−1 and showed exceptional profitability with 28 kg N ha−1 in hardiness zone 6b (Brighton, IL). Switchgrass cultivar “Carthage” showed better efficiency score and profitability results in hardiness zone 4b (South Shore, SD) at 56 kg N ha−1. The profit trends observed in current study sites may indicate broader patterns across similar US hardiness zones. This study provides valuable insights for decision-makers to optimize input strategies for biomass production of bioenergy switchgrass to meet renewable energy demands.

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可持续生物燃料原料生产的柳枝稷生物能源和饲料类型的比较经济分析:数据包络分析和成本效益分析方法
在不同的环境中高效、经济地生产柳枝稷的能力对于实现美国能源部设定的中短期可持续航空燃料目标至关重要。本研究以美国中西部伊利诺斯州(IL)、爱荷华州(IA)、内布拉斯加州(NE)和南达科他州(SD)为研究区,在不同边缘环境下,评价了牧草型和生物能源型柳枝稷品种的经济效益及其对氮肥的响应。采用数据包络分析(DEA)对23个决策单元(dmu) -品种类型和施氮量组合的效率进行了评价,并采用成本效益分析计算了其5年的盈利能力。结果表明,“独立”和“自由”两个能量型品种在经济上优于饲草品种。当施肥56 kg N / h - 1时,独立表现最好,利润率最高,特别是在美国抗寒区6a(厄巴纳,伊利诺伊州)。Liberty在抗寒区5b(马德里,IA和伊萨卡,NE)以56 kg N ha - 1表现出最高的利润率,在抗寒区6b(布莱顿,IL)以28 kg N ha - 1表现出卓越的盈利能力。柳枝稷品种“迦太基”在抗寒区4b(南岸,SD)以56 kg N ha - 1表现出较好的效率评分和盈利效果。在目前的研究地点观察到的利润趋势可能表明在类似的美国抗寒区更广泛的模式。该研究为决策者优化生物能源柳枝稷生物质生产的投入策略以满足可再生能源需求提供了有价值的见解。
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来源期刊
Global Change Biology Bioenergy
Global Change Biology Bioenergy AGRONOMY-ENERGY & FUELS
CiteScore
10.30
自引率
7.10%
发文量
96
审稿时长
1.5 months
期刊介绍: GCB Bioenergy is an international journal publishing original research papers, review articles and commentaries that promote understanding of the interface between biological and environmental sciences and the production of fuels directly from plants, algae and waste. The scope of the journal extends to areas outside of biology to policy forum, socioeconomic analyses, technoeconomic analyses and systems analysis. Papers do not need a global change component for consideration for publication, it is viewed as implicit that most bioenergy will be beneficial in avoiding at least a part of the fossil fuel energy that would otherwise be used. Key areas covered by the journal: Bioenergy feedstock and bio-oil production: energy crops and algae their management,, genomics, genetic improvements, planting, harvesting, storage, transportation, integrated logistics, production modeling, composition and its modification, pests, diseases and weeds of feedstocks. Manuscripts concerning alternative energy based on biological mimicry are also encouraged (e.g. artificial photosynthesis). Biological Residues/Co-products: from agricultural production, forestry and plantations (stover, sugar, bio-plastics, etc.), algae processing industries, and municipal sources (MSW). Bioenergy and the Environment: ecosystem services, carbon mitigation, land use change, life cycle assessment, energy and greenhouse gas balances, water use, water quality, assessment of sustainability, and biodiversity issues. Bioenergy Socioeconomics: examining the economic viability or social acceptability of crops, crops systems and their processing, including genetically modified organisms [GMOs], health impacts of bioenergy systems. Bioenergy Policy: legislative developments affecting biofuels and bioenergy. Bioenergy Systems Analysis: examining biological developments in a whole systems context.
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