This study develops a literature-based possibilistic method for interpreting the wide range of e-methanol costs reported by published techno-economic analyses (TEAs). It is a meta-analysis rather than a new process-specific TEA. Twenty-three configurations are harmonized to a common technical and economic basis, and six cost elements are represented by literature-derived membership functions and combined through α -cut arithmetic. Element-wise aggregation gives the literature-wide outer case, while dependence-constrained aggregation accounts for pairwise relationships and source-wise aggregation keeps the cost elements together within each published configuration. At 93% total CO 2 conversion, the representative cost is 1027 €/tMeOH, and the support (full cost range represented by the function) is 495–2279 €/tMeOH. H 2 dominates the representative cost, while CO 2 and FOPEX contribute disproportionately to the high-cost side, making the cost function right-skewed. Source-wise aggregation narrows the support to 603–1825 €/tMeOH, and pairwise dependence constraints explain 27.4–38.5% of this narrowing by excluding some simultaneous high-cost combinations. Bootstrap resampling gives nearly the same central cost but a substantially narrower probabilistic interval. The broad range therefore arises mainly from differences among published technologies and economic conditions rather than membership-function or harmonization choices; varying all harmonization assumptions together changes the support width by – 4.3% to +8.8%. The function supports early-stage cost screening and can be narrowed as project-specific information becomes available.
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Nguyen et al. (2026) studied this question.
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