Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan

Kazakhstan is naturally rich in fossil fuels and its economy is strongly linked to oil and gas exports. Significant coal reserves have led to an energy mix that is dominated by aging and polluting thermal power plants. Yet Kazakhstan comprises mainly grassland steppe where agriculture and livestock...

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Main Authors: Koshim, Asima, Karatayev, Marat, Clarke, Michèle L., Nock, William
Format: Article
Language:English
Published: European Geosciences Union 2018
Online Access:https://eprints.nottingham.ac.uk/54001/
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author Koshim, Asima
Karatayev, Marat
Clarke, Michèle L.
Nock, William
author_facet Koshim, Asima
Karatayev, Marat
Clarke, Michèle L.
Nock, William
author_sort Koshim, Asima
building Nottingham Research Data Repository
collection Online Access
description Kazakhstan is naturally rich in fossil fuels and its economy is strongly linked to oil and gas exports. Significant coal reserves have led to an energy mix that is dominated by aging and polluting thermal power plants. Yet Kazakhstan comprises mainly grassland steppe where agriculture and livestock pastoralism dominate offering the potential for cleaner, renewable energy production from a range of agricultural and forestry wastes. Here we analyse the spatial distribution and bioenergy generation potential of different feedstocks using an ArcGIS platform and demonstrate a significant opportunity for a range of bioenergy technologies. We recommend a number of policy interventions to enable Kazakhstan to make a transition to cleaner, more accessible and locally generated supply which is also sustainable and provide a waste management solution.
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spelling nottingham-540012018-09-10T12:54:31Z https://eprints.nottingham.ac.uk/54001/ Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan Koshim, Asima Karatayev, Marat Clarke, Michèle L. Nock, William Kazakhstan is naturally rich in fossil fuels and its economy is strongly linked to oil and gas exports. Significant coal reserves have led to an energy mix that is dominated by aging and polluting thermal power plants. Yet Kazakhstan comprises mainly grassland steppe where agriculture and livestock pastoralism dominate offering the potential for cleaner, renewable energy production from a range of agricultural and forestry wastes. Here we analyse the spatial distribution and bioenergy generation potential of different feedstocks using an ArcGIS platform and demonstrate a significant opportunity for a range of bioenergy technologies. We recommend a number of policy interventions to enable Kazakhstan to make a transition to cleaner, more accessible and locally generated supply which is also sustainable and provide a waste management solution. European Geosciences Union 2018-08-28 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/54001/1/adgeo-45-217-2018%20%281%29.pdf Koshim, Asima, Karatayev, Marat, Clarke, Michèle L. and Nock, William (2018) Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan. Advances in Geosciences, 45 . pp. 217-225. ISSN 1680-7359 https://www.adv-geosci.net/45/217/2018/ 10.5194/adgeo-45-217-2018 10.5194/adgeo-45-217-2018 10.5194/adgeo-45-217-2018
spellingShingle Koshim, Asima
Karatayev, Marat
Clarke, Michèle L.
Nock, William
Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title_full Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title_fullStr Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title_full_unstemmed Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title_short Spatial assessment of the distribution and potential of bioenergy resources in Kazakhstan
title_sort spatial assessment of the distribution and potential of bioenergy resources in kazakhstan
url https://eprints.nottingham.ac.uk/54001/
https://eprints.nottingham.ac.uk/54001/
https://eprints.nottingham.ac.uk/54001/