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Databases for biomass and waste biorefinery - a mini-review and SWOT analysis
Morgen Mukamwi1, Tosin Somorin1, Raimonda Soloha2
1Chemical & Process Engineering, University of Strathclyde, Glasgow, Scotland, UK.
Biowaste valorization through biorefineries can reduce waste and carbon footprints. Current databases are insufficient for waste biorefineries, necessitating a comprehensive, improved database for better decisions.
Area of Science:
- Environmental Science and Engineering
- Biotechnology
- Circular Economy
Background:
- Growing global populations increase resource waste, with biowaste forming a significant portion.
- Biowaste streams offer potential for transformation into valuable products (energy, fuels, chemicals) via biorefinery technologies.
- A circular economy approach utilizing biowaste is crucial for waste reduction and lowering anthropogenic carbon footprints.
Purpose of the Study:
- To review existing European databases on biomass types and biorefinery technologies.
- To propose a framework for a comprehensive database connecting bio-based waste streams, biorefinery technologies, and bioproducts.
- To identify critical data gaps and limitations in current database structures for waste biorefineries.
Main Methods:
- Mini-review of available European databases concerning biomass and biorefinery technologies.
- SWOT (strengths, weakness, opportunities, threats) methodology applied to assess database utility and identify gaps.
- Analysis of data quality, quantity, and usability for waste biorefinery applications.
Main Results:
- Existing databases are useful but inadequate for waste biorefineries due to limitations in data quality, quantity, and usability.
- Significant gaps exist in underlying data structures required for a comprehensive waste biorefinery database.
- Current data limitations hinder technology development and informed investment and policy decisions.
Conclusions:
- A comprehensive or improved database cluster is essential for advancing waste biorefinery technologies.
- The proposed database architecture should enhance scope, content depth, usability, accessibility, and update frequency.
- Incorporating process descriptions, parameters, and technology readiness levels is crucial for a functional database.
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