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.2017.08.025Additional 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
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49065446
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY; S14: SOLAR ENERGY;
- Descriptors DEI
- ANALYTIC FUNCTIONS; BIOMASS; COMPARATIVE EVALUATIONS; DECISION MAKING; ENERGY POLICY; PHOTOVOLTAIC POWER PLANTS; PROBABILISTIC ESTIMATION; SOLAR THERMAL POWER PLANTS; TEMPERATURE RANGE 0400-1000 K
- Descriptors DEC
- CALCULATION METHODS; ENERGY SOURCES; EVALUATION; FUNCTIONS; GOVERNMENT POLICIES; POWER PLANTS; RENEWABLE ENERGY SOURCES; SOLAR POWER PLANTS; TEMPERATURE RANGE; THERMAL POWER PLANTS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.