Economic Analysis Between Diesel and SOFC Electricity via Fusion-Biomass Hybrid Model

Hoseok Nam, Ryuta Kasada, Satoshi Konishi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The fusion-biomass hybrid model system, which takes waste biomass from municipal and agricultural areas as well as forests as feedstock, produces either diesel through the Fischer–Tropsch (FT) reaction or electricity by the solid oxide fuel cell (SOFC). This system produces synthesis gas by endothermic pyrolytic gasification using high temperature fusion heat. A temperature of over 700 °C of exterior thermal heat from the fusion reactors with a duel cooled lithium lead blanket and its technical extension bring about biomass gasification to produce maximum amounts of chemical energy and synthetic gas, from feedstock. First, synthetic gas that contains hydrogen (H2) and carbon monoxide (CO) can be converted into artificial diesel (–CH2–), which is regarded as “carbon–neutral”. The other is to generate electricity by putting synthetic gas into SOFC at various scales, not only at the plant scale but also at the residential scale. This paper aims to conduct an economic analysis of the fusion-biomass hybrid model by comparing diesel and SOFC electricity under the assumption of the investment of a biomass plant with an FT reaction facility and one with SOFC. A sensitivity analysis is performed applying diesel price, electricity price, SOFC efficiency, diesel subsidy, and fusion heat cost. These results can help in targeting which products are economically justified in the circumstances of variable environmental policies under different policies and economic situations, which would have a significant impact on commercial fusion designing.

Original languageEnglish
Pages (from-to)333-345
Number of pages13
JournalJournal of Fusion Energy
Volume37
Issue number6
DOIs
Publication statusPublished - 2018 Dec 1

Keywords

  • Biomass gasification
  • Diesel
  • Economic analysis
  • Hydrogen
  • Nuclear fusion
  • System dynamics

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