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Sökning: onr:"swepub:oai:DiVA.org:ri-29395" > Cost optimization o...

Cost optimization of biofuel production – The impact of scale, integration, transport and supply chain configurations

de Jong, Sierk (författare)
Utrecht University, The Netherlands,Copernicus Institute of Sustainable Development, Utrecht University,Universiteit Utrecht
Hoefnagels, Ric (författare)
Utrecht University, The Netherlands,Copernicus Institute of Sustainable Development, Utrecht University,Universiteit Utrecht
Wetterlund, Elisabeth, 1978- (författare)
Luleå tekniska universitet,Energivetenskap,Luleå tekniska universitet (LTU),Luleå University of Technology (LTU),Internationales Institut fuer Angewandte Systemanalyse,International Institute for Applied Systems Analysis
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Pettersson, Karin (författare)
RISE,Energi och cirkulär ekonomi,Chalmers University of Technology, Sweden,RISE Research Institutes of Sweden,Chalmers tekniska högskola
Faaij, Andre (författare)
University of Groningen, The Netherlands,Energy Academy Europe, University of Groningen,Rijksuniversiteit Groningen
Junginger, Martin (författare)
Utrecht University, The Netherlands,Copernicus Institute of Sustainable Development, Utrecht University,Universiteit Utrecht
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 (creator_code:org_t)
Elsevier Ltd, 2017
2017
Engelska.
Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 195, s. 1055-1070
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • This study uses a geographically-explicit cost optimization model to analyze the impact of and interrelation between four cost reduction strategies for biofuel production: economies of scale, intermodal transport, integration with existing industries, and distributed supply chain configurations (i.e. supply chains with an intermediate pre-treatment step to reduce biomass transport cost). The model assessed biofuel production levels ranging from 1 to 150 PJ a−1 in the context of the existing Swedish forest industry. Biofuel was produced from forestry biomass using hydrothermal liquefaction and hydroprocessing. Simultaneous implementation of all cost reduction strategies yielded minimum biofuel production costs of 18.1–18.2 € GJ−1 at biofuel production levels between 10 and 75 PJ a−1. Limiting the economies of scale was shown to cause the largest cost increase (+0–12%, increasing with biofuel production level), followed by disabling integration benefits (+1–10%, decreasing with biofuel production level) and allowing unimodal truck transport only (+0–6%, increasing with biofuel production level). Distributed supply chain configurations were introduced once biomass supply became increasingly dispersed, but did not provide a significant cost benefit (<1%). Disabling the benefits of integration favors large-scale centralized production, while intermodal transport networks positively affect the benefits of economies of scale. As biofuel production costs still exceeds the price of fossil transport fuels in Sweden after implementation of all cost reduction strategies, policy support and stimulation of further technological learning remains essential to achieve cost parity with fossil fuels for this feedstock/technology combination in this spatiotemporal context. © 2017 The Authors

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)

Nyckelord

Biofuel
Cost optimization
Distributed supply chain
Economies of scale
Integration
Intermodal transport
Biofuels
Biomass
Cost benefit analysis
Costs
Economics
Forestry
Fossil fuels
Industrial economics
Intermodal transportation
Optimization
Supply chains
Truck transportation
Biofuel production
Biomass transports
Hydrothermal liquefactions
Supply chain configuration
Technological learning
Cost reduction
Energiteknik
Förnybar energi (FOI)

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