Trade-offs in biomethane production by substrate mixture optimization under German market conditions

IF 4.6 3区 工程技术 Q2 ENERGY & FUELS Energy, Sustainability and Society Pub Date : 2024-07-13 DOI:10.1186/s13705-024-00471-2
Joshua Güsewell, Milad Rousta, Ludger Eltrop
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Abstract

Background

New regulations and market conditions in Germany affect the profitability of biomethane upgrading as a repowering option for existing biogas plants following on-site CHP utilization. These conditions present trade-off challenges between higher sustainability requirements, maintaining production capacity and new revenue opportunities. Optimization methods, such as linear programming (LP), are essential for determining the ideal substrate mixture and profitable solutions amidst multiple market conditions, plant-specific process constraints, and substrate properties.

Methods

We updated a substrate mixture optimization model within an assessment framework for the repowering of existing biogas plants (BGPs), which focuses on the operator’s perspective. By integrating multiple German biomethane markets for various BGPs, we assessed changes in the substrate mixture, GHG emissions, contribution margins, and constraint parameters to derive conclusions for operators and future framework design.

Results

Integrating market revenues and constraints can increase contribution margins by 12–55%. Additional gains can be achieved by considering multiple markets simultaneously but limited to a few BGPs. The plant-specific LP solution space and used benchmark market are decisive. The former limits the potential of high substrate-specific contribution margins, which has a significantly higher impact than the relation between plant-specific characteristics and process constraints. The advanced fuel market is currently the lead market for biomethane, incentivizing GHG-emission extensive substrates, decreasing gas production and GHG emissions but increasing levelized cost of energy (LCOE) and partially CO2 abatement costs.

Conclusions

The key to improve profitability and to supply an increasing biomethane demand while fulfilling new requirements is a large LP solution space. Increasing market options, substrate availability, and digestion system capacity achieve this on the operator’s side. Policy makers could reduce normative requirements such as the maize cap or double counting of advanced fuels and favor high but uniform GHG requirements. Operators can prepare robustly for the future substrate mixture by adding digester volume and pre-treatment tech, ensuring long-term and diverse substrate availability, and contracts with flexible components. Although current market conditions can improve specific GHG emissions, they do not necessarily increase manure usage when other options, such as straw, are viable. Other regulatory support systems will be required to do so.

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德国市场条件下通过优化底物混合物生产生物甲烷的权衡问题
德国的新法规和市场条件影响了生物甲烷升级作为现有沼气厂现场热电联产后的再发电选择的盈利能力。这些条件在更高的可持续性要求、保持生产能力和新的收益机会之间提出了权衡挑战。线性规划(LP)等优化方法对于确定理想的基质混合物以及在多种市场条件、工厂特定工艺限制和基质特性下的盈利解决方案至关重要。我们从运营商的角度出发,在现有沼气厂(BGP)重新发电的评估框架内更新了基质混合物优化模型。通过整合德国多个沼气厂的生物甲烷市场,我们评估了基质混合物、温室气体排放、贡献率和约束参数的变化,从而为运营商和未来的框架设计得出结论。整合市场收入和约束条件可将贡献率提高 12-55%。同时考虑多个市场,但仅限于几个 BGP,还能获得额外收益。特定工厂的 LP 解决方案空间和使用的基准市场具有决定性作用。前者限制了高基质特定贡献率的潜力,其影响远远大于工厂特定特性与工艺限制之间的关系。先进燃料市场目前是生物甲烷的主导市场,激励温室气体排放广泛的基质,减少气体生产和温室气体排放,但增加平准化能源成本(LCOE)和部分二氧化碳减排成本。在满足新要求的同时,提高盈利能力和供应日益增长的生物甲烷需求的关键在于巨大的低压解决方案空间。增加市场选择、基质可用性和消化系统容量可从运营商方面实现这一目标。政策制定者可以减少规范性要求,如玉米上限或先进燃料的重复计算,并支持较高但统一的温室气体要求。运营商可以通过增加消化池容积和预处理技术、确保长期和多样化的基质供应以及签订灵活的合同,为未来的基质混合物做好充分准备。尽管当前的市场条件可以改善特定的温室气体排放,但在秸秆等其他选择可行的情况下,并不一定会增加粪肥的使用量。为此,还需要其他监管支持系统。
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来源期刊
Energy, Sustainability and Society
Energy, Sustainability and Society Energy-Energy Engineering and Power Technology
CiteScore
9.60
自引率
4.10%
发文量
45
审稿时长
13 weeks
期刊介绍: Energy, Sustainability and Society is a peer-reviewed open access journal published under the brand SpringerOpen. It covers topics ranging from scientific research to innovative approaches for technology implementation to analysis of economic, social and environmental impacts of sustainable energy systems.
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