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An Estimation of Biomass Potential and Location Optimization for Integrated Biorefineries in Germany: A Combined Approach of GIS and Mathematical Modeling

Heck, Raphael ORCID iD icon 1; Rudi, Andreas ORCID iD icon 1; Lauth, David 1; Schultmann, Frank ORCID iD icon 1
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)

Abstract:

Establishing the utilization of lignocellulosic biomass in integrated biorefineries can reduce environmental impacts and dependency on imported raw materials by substituting fossil-based products. Whereas energetic biomass utilization is common, chemical utilization is still poorly established, primarily due to the lack of feedstock availability. Hence, literature-based estimation and geographical mapping of biomass potentials are key to implementing successful production networks for biobased chemicals. Using the example of Germany, a geographical information system (GIS) analysis was conducted to allocate residual biomass potentials spatially. Based on the obtained GIS data model, a facility location optimization model was developed. The results of a location-allocation analysis for innovative biorefineries, which are integrated with biogas plants, showed an optimal location network for maximizing the amount of residue biomass covered. In a promising model scenario, each biorefinery has a maximum catchment radius of 23 km and a minimum input of 94,500 tonnes of dry matter per year (t DM/a) (31.5 kt DM/a × 3), allowing only existing biogas locations as locations for biorefineries. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000174934
Veröffentlicht am 10.10.2024
Originalveröffentlichung
DOI: 10.3390/su16166781
Scopus
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2071-1050
KITopen-ID: 1000174934
Erschienen in Sustainability
Verlag MDPI
Band 16
Heft 16
Seiten Art.-Nr.: 6781
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 07.08.2024
Schlagwörter biomass availability assessment; industrial bioeconomy; multi-feedstock; small-scale biorefineries; geographical information system; location-allocation problem; mixed integer linear programming
Nachgewiesen in Scopus
Web of Science
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