研究目的
To investigate to what extent may the HYSOL technology improve the sustainability of power generation in the Spanish electricity sector, and to develop and test LCSA methodology.
研究成果
The LCSA methodology provided a flexible framework for assessing sustainability across environmental, economic, and social dimensions. HYSOL technology, especially with biomethane, showed improvements in environmental and social sustainability but had economic drawbacks. The innovation is aimed at enhancing the sustainability of CSP technology and the Spanish electricity sector, though no alternative performed best in all dimensions, requiring further decision-making analysis.
研究不足
The influence of time was only contemplated in the economic dimension via discount rates, not in environmental or social aspects. The study did not include a dynamic approach for future changes in technologies, markets, or social trends. Aggregation of results using multi-criteria decision-making methods like AHP was not performed, though recommended.
1:Experimental Design and Method Selection:
The methodology consists of three stages: goal and scope definition, modelling and application of tools (including attributional and consequential life cycle assessment, life cycle cost analysis, multiregional input-output analysis, and social life cycle assessment with social risk assessment), and interpretation of results. Visual diagrams (sustainability crowns) were used for decision-making support.
2:Sample Selection and Data Sources:
The study focused on HYSOL technology (with biomethane or natural gas as hybridization fuel) and conventional CSP-PTC technology. Primary inventory data were provided by engineering companies IDie S.L. and ACS-COBRA S.A., and biomethane data by Biogas Fuel Cell S.L. Secondary data from databases like ecoinvent, WIOD, and Social Hotspots Database were used.
3:List of Experimental Equipment and Materials:
Not explicitly listed; involves CSP plant components, biomethane and natural gas systems, and computational tools for analysis.
4:Experimental Procedures and Operational Workflow:
Defined system boundaries, functional unit (1 MWh electricity), and scenarios for deployment in Spain. Applied various analysis tools to calculate sustainability indicators, with steps for data collection, modelling, and result interpretation.
5:Data Analysis Methods:
Used SimaPro for E-LCA, MRIO analysis for economic and social dimensions, and S-LCA with SHDB. Indicators included climate change, water stress, life cycle cost, value added, employment, and social risks. Results were integrated and visualized using sustainability crowns.
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