Published November 15, 2017 | Version v1
Journal article

Comparative analysis of direct employment generated by renewable and non-renewable power plants

Description

A probabilistic and analytical model is presented to assess the direct employment generated by power plants, throughout their lifecycles, from when the fuel is being extracted to the decommissioning stage. To represent the majority of regions and countries around the world, this model provides a global, general and probabilistic vision for all the most common kinds of power plants. Direct job creation is expressed per unit of electricity produced over the plant's lifetime, by means of a normalisation process. Renewables obtained a direct employment generation of around 0.1 to 4 job-years/GWh. On the other hand, the same figure for non-renewable power plants is about 0.1–2.4 job-years/GWh. The results reinforce the idea that some renewable -such as photovoltaic, biomass, mini-hydro and high temperature solar thermal power plants-are still the options with the highest direct employment generation. Nevertheless, this study demonstrates that not all renewables present a high direct employment generation. It also shows that non-renewable alternatives can compete with their renewable counterparts under certain conditions. - Highlights: • A model is presented to assess the direct employment generated by power plants. • Some renewables are still the options with the highest direct employment generation. • Non-renewable energies can compete with the renewables under certain conditions. • The model aids the decision making process in the energy policy field. • Complete sustainability assessment models should include the parameter here proposed.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2017.08.025

Additional details

Identifiers

DOI
10.1016/j.energy.2017.08.025;
PII
S0360-5442(17)31402-0;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
139
Journal Issue
Complete
Journal Page Range
p. 542-554
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.