Using a Crop Growth Model to Quantify Regional Biogas Potentials: an Example of the Model Region Biberach (South-West Germany)
Using a Crop Growth Model to Quantify Regional Biogas Potentials: an Example of the Model Region Biberach (South-West Germany)
复制标题
使用作物生长模型量化区域沼气潜力：比伯拉赫模型区域示例（德国西南部）
DOI：
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发表时间：
2014
影响因子：
3.6
通讯作者：
S. Graeff‐Hönninger
中科院分区：
文献类型：
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作者：
Benjamin Mast;W. Claupein;S. Graeff‐Hönninger
在过去的十年中，能源部门的政治框架条件引起了德国对沼气生产的强烈关注。在这方面，需要有充足和安全的区域生物质供应，以便经济地运行沼气厂。重要的是要估计在一个确定的区域可以生产和可用于生物能源生产的生物量。本研究的重点是基于模型的方法量化的生物量，并由此产生的沼气潜力的模型区域的比伯拉赫（西南部德国）使用过程为导向的作物生长模型DSSAT 4.0。考虑到区域土壤和气候条件的模型区域，干物质产量的玉米，小黑麦，玉米和小黑麦轮作系统（CRS），包括不同的管理制度（改变播种和收获日期）进行了模拟。结果表明，一个适当的模型拟合模拟和实测产量之间。玉米（14.7 t ha−1）、小黑麦（12.7 t ha−1）和CRS（18.1-19.2 t ha−1）的干物质产量差异显著，表明所选CRS提供了最高的干物质产量。所有作物的生物量潜力进行了模拟，考虑到不同的生物能源的情况下，根据现有的农业用地用于生物能源。5月1日和10月15日分别播种玉米和小黑麦的管理系统提供了最高的生物量潜力。最后，通过实施由玉米和黑小麦组成的CRS，确定比伯拉赫县的额外能源潜力为45，000 kWel（生物能源情景50/50%的农业用地用于沼气生产）和5，700 kWel（生物能源情景25/25%的农业用地用于沼气生产）。可以得出结论，该县存在额外的生物质沼气生产潜力。可根据现有的生物量潜力确定沼气厂的适当地点。
Over the last decade, political framework conditions in the energy sector provoked a strong focus on biogas production in Germany. In this context, a sufficient and secure regional biomass supply is needed in order to run biogas plants economically. It is important to estimate which biomass amounts can be produced and are available for bioenergy production in a defined region. The present study focused on a model-based approach quantifying the biomass and, from this, the resulting biogas potential of the model region of Biberach (south-west Germany) using the process-oriented crop growth model DSSAT 4.0. Considering the regional soil and climate conditions of the model region, dry matter yields of maize, triticale, and a crop rotation system (CRS) of maize and triticale including different management systems (change in sowing and harvest date) were simulated. The results indicated an adequate model fit between simulated and measured yields. Dry matter yields of maize (14.7 t ha−1), triticale (12.7 t ha−1), and the CRS (18.1–19.2 t ha−1) differed significantly, indicating that the chosen CRS provided the highest dry matter yields. The biomass potential of all crops was simulated considering different bioenergy scenarios depending on the available agricultural land used for bioenergy. The highest biomass potential was provided by the management system consisting of maize and triticale sown on 1 May and 15 October, respectively. Finally, an additional energy potential of 45,000 kWel (bioenergy scenario 50/50 % of the agricultural land used for biogas production) and of 5,700 kWel (bioenergy scenario 25/25 % of the agricultural land used for biogas production) was determined for the county of Biberach by implementing a CRS, which consisted of maize and triticale. It could be concluded that an additional biomass potential for biogas production exists in the county. Suitable areas for the location of biogas plants could be identified based on the available biomass potential.