Early-stage evaluation of emerging CO utilization technologies at low technology readiness levels
Most CO 2 utilization technologies are at low technology readiness levels (TRLs). Given the large number of potential technologies, screening to identify the most promising ones should be conducted before allocating large R&D investment. As these technologies exhibit different levels of technica...
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Veröffentlicht in: | Green chemistry : an international journal and green chemistry resource : GC 2020-06, Vol.22 (12), p.3842-3859 |
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Hauptverfasser: | , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Most CO
2
utilization technologies are at low technology readiness levels (TRLs). Given the large number of potential technologies, screening to identify the most promising ones should be conducted before allocating large R&D investment. As these technologies exhibit different levels of technical maturity, a systematic, TRL-dependent evaluation procedure is needed which can also account for the quality and availability of data. We propose such a systematic and comprehensive evaluation procedure. The procedure consists of three steps: primary data preparation, secondary data calculation, and performance indicator calculation. The procedure depends on the type of CO
2
utilization technology (thermochemical, electrochemical, or biological conversion) as well as the TRL (2-4). We suggest databases, methods, and computer-aided tools that support the procedure. Through four case studies, we demonstrate the proposed procedure on emerging CO
2
utilization technologies, which are of different types and at various TRLs: electrochemical CO
2
reduction for production of ten chemicals (TRL 2); co-electrolysis of CO
2
and water for ethylene production (TRL 2-4); direct oxidation of CO
2
-based methanol for oxymethylene dimethyl ether (OME
1
) production (TRL 4); and microalgal biomass co-firing for power generation (TRL 4).
Three-step procedure for early-stage evaluation of CO
2
utilization technologies based on TRLs. |
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ISSN: | 1463-9262 1463-9270 |
DOI: | 10.1039/c9gc04440j |