2019
DOI: 10.3390/en12030534
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Insights from Past Trends in Exergy Efficiency and Carbon Intensity of Electricity: Portugal, 1900–2014

Abstract: We use the societal exergy analysis to identify periods and factors controlling efficiency dilution and carbon deepening of electricity in Portugal from 1900 to 2014. Besides estimating the carbon intensity of electricity production, we propose a new indicator, the carbon intensity of electricity use, which quantifies CO 2 /kWh of electricity derived useful exergy. Results show final to useful efficiency dilution until World War I (50% to 30%) due to a decrease in share of the high-efficiency transport sector … Show more

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Cited by 6 publications
(10 citation statements)
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“…The end uses for industrial, commercial and services sectors followed the end uses obtained from the literature [7,15,16], which indicate types of end uses, such as mechanical drive, heat, lighting, cooling, and other uses.…”
Section: Methodsmentioning
confidence: 99%
“…The end uses for industrial, commercial and services sectors followed the end uses obtained from the literature [7,15,16], which indicate types of end uses, such as mechanical drive, heat, lighting, cooling, and other uses.…”
Section: Methodsmentioning
confidence: 99%
“…Portugal is a good candidate for this type of analysis: in the last 50 years, there have been both periods of considerable improvements and stagnation in the thermodynamic final-to-useful energy/exergy efficiency of the country [44,76]. Furthermore, previous analyses carried out with Portuguese energy/exergy and economic data have uncovered robust evidence of a close relationship linking thermodynamic efficiency with total factor productivity [42] and overall useful exergy consumption with economic growth [49].…”
Section: The Thermodynamically Consistent Marco Modelmentioning
confidence: 99%
“…Data on human labor (engaged individuals, hours worked, population) are obtained from the Penn World Tables (PWT10.0) [3]. Data on primary, final, and useful energy and exergy use, along with the corresponding efficiencies, are obtained from the work of [44,76]. Data on energy prices are obtained from Portuguese-specific databases-that of the Directorate-General for Energy and Geology (DGEG) [82] and the Banco de Portugal long-time series [83].…”
Section: Datamentioning
confidence: 99%
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“…Where: X t is the four endogenous variables vector, so that UEx -data for Mozambique was constructed inspired in the literature (Felício, et. al, 2019;Serrenho et al, 2014;and Ayres et al, 2005) following four steps: the first step was the conversion of FEC into exergy; the second was the allocation of final exergy consumption, per sector, to the different end-uses, the third was the application of the final exergy efficiencies, according to end-uses, to obtain the useful exergy (UEx) data of the FEC, per sectors for Mozambique.…”
Section: The Var Models and Datamentioning
confidence: 99%