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Table of Contents, PDF (100 KB)
Extract, PDF (260 KB)
The term biorefineries encompasses various innovative technological concepts capable of producing a range of energy, material and pharmaceutical products from renewable raw materials, which directly or indirectly substitute products currently derived from fossil resources. In order to use the available renewable raw materials as efficiently as possible and to avoid competition with other applications, in particular food production, this work examines residual biomass as a feedstock for biorefineries. Since residual biomass is only available with comparatively low specific yields, its geographical occurrence is incorporated into the strategic planning of biorefineries by means of geographic information systems (GIS). The aim of this work is therefore the strategic planning of a biorefinery taking into account the geographical availability of biomass. This results in a complex decision problem in which the location, capacity and configuration of the plant interact with one another and have to be optimised simultaneously.
For this purpose, a hybrid algorithm consisting of a superordinate heuristic evolution strategy with an embedded exact nonlinear program is developed. For the first time, this approach enables the simultaneous planning of the location, capacity and configuration of biorefineries while taking into account the geographical availability of residual biomass, using different biorefinery technologies and in different regions. The decision model developed is applied in two case studies on the planning of a Fischer-Tropsch biorefinery in Germany and a lignocellulose biorefinery in the Cariboo District in British Columbia, Canada.
| ISBN-13 (Hard Copy) | 9783736995796 |
| ISBN-13 (eBook) | 9783736985797 |
| Final Book Format | A5 |
| Language | German |
| Page Number | 238 |
| Edition | 1. |
| Publication Place | Göttingen |
| Place of Dissertation | Göttingen |
| Publication Date | 2017-07-10 |
| General Categorization | Dissertation |
| Departments |
Economics
Business economics Statistics and operations research, business mathematics |
| Keywords | Biorefineries, bioeconomy, residual biomass, strategic planning, metaheuristics, evolution strategies, matheuristics, nonlinear optimization, NLP, hybrid algorithm, Fischer-Tropsch synthesis, lignocellulosic biorefinery |