Dotzauer Martin, Radtke Kai Sven, Jordan Matthias, Thrän Daniela
DeutschesBiomasseforschungszentrum gemeinnützige GmbH, Torgauer Straße 116, 04347, Leipzig, Germany.
Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318, Leipzig, Germany.
Heliyon. 2024 Feb 1;10(3):e25434. doi: 10.1016/j.heliyon.2024.e25434. eCollection 2024 Feb 15.
Bioenergy is a crucial element of the future energy system with wide range of applications in electricity, heat and transport. A major challenge for the analysis and optimisation of the bioenergy system is the degree of diversity and complexity compared to wind or solar energy. A coherent database for studying the role of bioenergy in the energy system needs to cover the different entities such as bio-resources, conversion procedures and process chains. Since there is no comprehensive data collection for bioenergy so far, we develop a SQLite database by merging several existing datasets and additional information. The resulting Bio-Energy Technology Database (BET.db) provides a consistent set of 141 feedstocks as well as energy carriers, 259 conversion technologies, and 134 energy supply concepts. The proof of concept within a bioenergy system modelling a wide range of technologies for the electricity, heat and transport sectors using the BENOPT model has been successful. By providing a one-stop-shop solution for techno-economic information about on the bioenergy nexus, this blind spot can be avoided for further investigations. The current stage of development is an intermediate prototype that will be developed into a more versatile and interactive web application later on.
生物能源是未来能源系统的关键要素，在电力、热力和交通领域有着广泛应用。与风能或太阳能相比，生物能源系统分析与优化面临的一个主要挑战是其多样性和复杂性程度。用于研究生物能源在能源系统中作用的连贯数据库需要涵盖生物资源、转化过程和工艺链等不同实体。由于目前尚无针对生物能源的全面数据收集，我们通过合并几个现有数据集及其他信息来开发一个SQLite数据库。由此产生的生物能源技术数据库（BET.db）提供了一组一致的141种原料以及能量载体、259种转化技术和134种能源供应概念。使用BENOPT模型对电力、热力和交通领域的广泛技术进行生物能源系统建模的概念验证已取得成功。通过为生物能源关系中的技术经济信息提供一站式解决方案，可以避免这一盲点以便进一步研究。当前的开发阶段是一个中间原型，稍后将发展成为一个更通用且交互式的网络应用程序。
