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Biomass Value Chain Design: A Case Study of the Upper Rhine Region

  • Humanoid Technologies Lab (H2T)
  • Technische Universität Bergakademie Freiberg

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Abstract: Bioenergy is expected to play an important role in the future mix of energy supply in bridging the gap between diminishing fossil fuels and increasing global energy needs, as it is in contrast to other renewable energies, capable of providing base-load capacities. Valorization of biomass as a source of energy is challenging due to the large variety of biomass feedstocks and conversion technologies. To master these challenges and to establish a successful bioenergy market, the development of optimized biomass value chains is essential. We present a case study application of a biomass value chain design for the tri-national Upper Rhine Region. A mathematical model is formulated, which uses existing potentials in order to optimize the biomass value chain in terms of multiple feedstocks, technologies, and outputs. Potential biomass conversion plants are identified or existing ones are upgraded while integrating transportation, location, technology, and capacity planning. The model is implemented and applied in a case study for the Upper Rhine Region. The resulting insights provide for a techno-economic assessment of biomass value chains and the identification of potential biomass pathways. In this way, support is provided in strategic decision making, while taking into account the type of biomass feedstock as well as the conversion technology, and in tactical planning by allocating feedstock to conversion facility locations.

Original languageEnglish
Pages (from-to)2313-2327
Number of pages15
JournalWaste and Biomass Valorization
Volume8
Issue number7
DOIs
StatePublished - Oct 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Biomass value chain
  • Location planning
  • Mathematical modeling
  • Multiple biomass feedstocks
  • Techno-economic assessment

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