Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

A GIS-based model to calculate the potential for transforming conventional hydropower schemes and non-hydro reservoirs to pumped hydropower schemes

Authors: Roberto Lacal Arántegui; Eamon McKeogh; Niall Fitzgerald; Paul Leahy;

A GIS-based model to calculate the potential for transforming conventional hydropower schemes and non-hydro reservoirs to pumped hydropower schemes

Abstract

Abstract The substantial increase in power generation from variable renewable sources has led to renewed interest in energy storage. Pumped hydropower remains the only mature and widely-adopted utility-scale energy storage technology. However, the selection and development of new pumped hydropower sites is heavily influenced by physical constraints such as terrain, as well as non-physical considerations such as the proximity of proposed reservoirs to settlements or environmentally or culturally sensitive sites. Hence, transforming existing reservoirs to pumped hydropower schemes is often considerably easier than developing completely new schemes. A model is proposed to calculate theoretical potential of a large area for the development of pumped hydropower schemes from existing conventional hydropower stations and from non-hydropower reservoirs. The methodology combines a new database of existing dams and reservoirs with a digital terrain model to identify suitable reservoirs for transformation, applies several constraints to eliminate unfeasible sites, then calculates the realisable potential in terms of power output and energy storage. The model is tested by applying it to the case of Turkey to produce country-level estimates of the theoretical and realisable potential for such transformations. In excess of 3800 GWh of realisable energy storage potential was identified from over 400 sites in the country.

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    65
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
65
Top 1%
Top 1%
Top 10%