2023
DOI: 10.3390/en16145376
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Indicators of Engine Performance Powered by a Biofuel Blend Produced from Microalgal Biomass: A Step towards the Decarbonization of Transport

Abstract: According to the EU Directive, the so-called RED II, there is increasing significance for biofuels produced from biomass with low indirect land use change (ILUC) risk. Such an alternative and sustainable feedstock could be microalgae, among others, used for biodiesel production. This is due to the high lipid content of their cells and their potential ability to accumulate significant amounts of carbon dioxide in their biomass, which has a positive effect on the carbon footprint of the product. The aim of this … Show more

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Cited by 3 publications
(1 citation statement)
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“…The "top-down" macro forecasting approach analyzes the impact of changes in population, economy, and other social aspects on regional carbon emissions, though offering limited detail on individual energy consumption sectors and energy varieties. Representative models include the computable general equilibrium (CGE) [26,27], stochastic impacts by regression on population affluence and technology (STIRPAT) [28,29], and the logarithmic mean divisia index (LMDI) models [30][31][32]. Usman et al [33] applied the STIRPAT model to explore the correlation between nuclear energy and the ecological footprint.…”
Section: Introductionmentioning
confidence: 99%
“…The "top-down" macro forecasting approach analyzes the impact of changes in population, economy, and other social aspects on regional carbon emissions, though offering limited detail on individual energy consumption sectors and energy varieties. Representative models include the computable general equilibrium (CGE) [26,27], stochastic impacts by regression on population affluence and technology (STIRPAT) [28,29], and the logarithmic mean divisia index (LMDI) models [30][31][32]. Usman et al [33] applied the STIRPAT model to explore the correlation between nuclear energy and the ecological footprint.…”
Section: Introductionmentioning
confidence: 99%