Biofuel production in an integrated forest biorefinery: Technology identification under uncertainty

Eemeli Hytönen, Paul R. Stuart

    Research output: Contribution to journalArticleScientificpeer-review

    20 Citations (Scopus)

    Abstract

    Lignocellulosic biorefinery processes for biofuel production are developing rapidly but their commercialization may still take some years. Incorrectly identifying the most promising technologies from the existing options based on their current development stage, estimated future costs of plant construction, prices of raw materials and end products poses a risk of making less favourable decisions. To mitigate these risks in design decision making, technical- and market-based uncertainties should be considered in techno-economic assessments. Monte Carlo analysis can be used in a systematic technology identification approach to account for these risks in preliminary screening of integrated forest biorefinery options. This paper will discuss the large block analysis approach including uncertainty estimations with Monte Carlo simulation. The results of using this approach in a case study to investigate the feasibility of integrated biofuel production from several raw materials with several technologies at a North American integrated kraft pulp and paper mill are also discussed. These results will help this mill to select the right technology, or combination of technologies, for further consideration in the context of biofuel production.
    Original languageEnglish
    Pages (from-to)58-67
    Number of pages10
    JournalJournal of Biobased Materials and Bioenergy
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 2010
    MoE publication typeA1 Journal article-refereed

    Keywords

    • integrated forest biorefinery (IFBR)
    • pulp and paper industry
    • production economics
    • Monte Carlo analysis
    • lignocellulosic biofuels

    Fingerprint

    Dive into the research topics of 'Biofuel production in an integrated forest biorefinery: Technology identification under uncertainty'. Together they form a unique fingerprint.

    Cite this