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Analysis and optimization of sustainable transport processes of biomass for power plants

Cienfuegos, Bernardo (2020)
Analysis and optimization of sustainable transport processes of biomass for power plants.
Technische Universität Darmstadt
doi: 10.25534/tuprints-00012211
Ph.D. Thesis, Primary publication

Abstract

This work addresses the transport planning of raw material supply chains for biomass power plants. It considers the need of generating sustainable solutions by analyzing relevant sustainability frameworks to propose a novel approach. It proposes a novel approach which consists of an architecture to tailor a proposed base model, and to process the relevant data needed to generate sustainable solutions. The special characteristics of the biomass transport problem and power plant requirements are captured in a formal problem definition in the form of a data model. The architecture consists of five combined models (called modules). Each module contributes with methods from different disciplines to enrich the solutions with distinct perspectives. The considered modules include elements from the social, weather, geographic information systems (GIS), life cycle impact assessment (LCIA), and mathematical optimization disciplines. An integrated solution is generated combining the results of all the modules. Important implementation elements for specific potential users are discussed to support a system prototype. A case study in Chile is used to gain related primary information of a real supply chain, test the architecture, and provide results about the performance, and allows a deeper discussion. The architecture generates optimized transport plans that make impacts visible in the considered sustainability dimensions and give the decision makers a better understanding of the effects of the considered solutions.

Item Type: Ph.D. Thesis
Erschienen: 2020
Creators: Cienfuegos, Bernardo
Type of entry: Primary publication
Title: Analysis and optimization of sustainable transport processes of biomass for power plants
Language: English
Referees: Schebek, Prof. Dr. Liselotte ; Eichhorn, Prof. Dr. Andreas
Date: 2020
Place of Publication: Darmstadt
Refereed: 12 July 2019
DOI: 10.25534/tuprints-00012211
URL / URN: https://tuprints.ulb.tu-darmstadt.de/12211
Abstract:

This work addresses the transport planning of raw material supply chains for biomass power plants. It considers the need of generating sustainable solutions by analyzing relevant sustainability frameworks to propose a novel approach. It proposes a novel approach which consists of an architecture to tailor a proposed base model, and to process the relevant data needed to generate sustainable solutions. The special characteristics of the biomass transport problem and power plant requirements are captured in a formal problem definition in the form of a data model. The architecture consists of five combined models (called modules). Each module contributes with methods from different disciplines to enrich the solutions with distinct perspectives. The considered modules include elements from the social, weather, geographic information systems (GIS), life cycle impact assessment (LCIA), and mathematical optimization disciplines. An integrated solution is generated combining the results of all the modules. Important implementation elements for specific potential users are discussed to support a system prototype. A case study in Chile is used to gain related primary information of a real supply chain, test the architecture, and provide results about the performance, and allows a deeper discussion. The architecture generates optimized transport plans that make impacts visible in the considered sustainability dimensions and give the decision makers a better understanding of the effects of the considered solutions.

Alternative Abstract:
Alternative abstract Language

Diese Arbeit befasst sich mit der Transportplanung von Rohstoffversorgungsketten für Biomassekraftwerke. Sie berücksichtigt die Notwendigkeit, nachhaltige Lösungen zu generieren, indem sie die relevanten Nachhaltigkeitsrahmen analysiert, um einen neuartigen Ansatz vorzuschlagen. Dieser neuartige Ansatz besteht aus einer Architektur, welche ein vorgeschlagenes Basismodell maßschneidern soll und die relevanten Daten verarbeitet, die zur Generierung nachhaltiger Lösungen benötigt werden. Die besonderen Merkmale des Biomasse-Transportproblems und der Kraftwerksanforderungen werden in einer formalen Problemdefinition in Form eines Datenmodells erfasst. Die Architektur besteht aus fünf kombinierten Modellen (sogenannten Modulen). Jedes Modul trägt mit Methoden aus verschiedenen Disziplinen dazu bei, die Lösungen mit unterschiedlichen Perspektiven anzureichern. Die betrachteten Module umfassen Elemente aus den Bereichen Soziales, Wetter, geografische Informationssysteme (GIS), Ökobilanzwirkungsabschätzung (LCIA) und mathematische Optimierung. Es entsteht eine integrierte Lösung, die die Ergebnisse aller Module kombiniert. Zur Unterstützung eines Systemprototypen werden wichtige Implementierungselemente für bestimmte potenzielle Benutzer diskutiert. Eine Fallstudie in Chile dient dazu, verwandte Primärinformationen einer realen Lieferkette zu gewinnen, die Architektur zu testen und Ergebnisse über die Leistung zu liefern, und ermöglicht eine vertiefte Diskussion. Die Architektur generiert optimierte Transportpläne, die Auswirkungen in den betrachteten Nachhaltigkeitsdimensionen sichtbar machen und den Entscheidungsträgern ein besseres Verständnis der Auswirkungen der betrachteten Lösungen vermitteln.

German
URN: urn:nbn:de:tuda-tuprints-122112
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR
13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy
Date Deposited: 15 Jul 2020 05:54
Last Modified: 21 Jul 2020 05:21
PPN:
Referees: Schebek, Prof. Dr. Liselotte ; Eichhorn, Prof. Dr. Andreas
Refereed / Verteidigung / mdl. Prüfung: 12 July 2019
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