Modelling the water energy nexus: should variability in water supply impact on decision making for future energy supply options?
Many countries, like South Africa, Australia, India, China and the United States, are highly dependent on coal fired power stations for energy generation. These power stations require significant amounts of water, particularly when fitted with technology to reduce pollution and climate change im...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-02-01
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Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://www.proc-iahs.net/376/3/2018/piahs-376-3-2018.pdf |
Summary: | Many countries, like South Africa, Australia, India, China and the
United States, are highly dependent on coal fired power stations for energy
generation. These power stations require significant amounts of water,
particularly when fitted with technology to reduce pollution and climate
change impacts. As water resources come under stress it is important that
spatial variability in water availability is taken into consideration for
future energy planning particularly with regards to motivating for a switch
from coal fired power stations to renewable technologies. This is
particularly true in developing countries where there is a need for increased
power production and associated increasing water demands for energy.
Typically future energy supply options are modelled using a least cost
optimization model such as TIMES that considers water supply as an input
cost, but is generally constant for all technologies. Different energy
technologies are located in different regions of the country with different
levels of water availability and associated infrastructure development and
supply costs. In this study we develop marginal cost curves for future water
supply options in different regions of a country where different energy
technologies are planned for development. These water supply cost curves are
then used in an expanded version of the South Africa TIMES model called
SATIM-W that explicitly models the water-energy nexus by taking into account
the regional nature of water supply availability associated with different
energy supply technologies. The results show a significant difference in the
optimal future energy mix and in particular an increase in renewables and a
demand for dry-cooling technologies that would not have been the case if the
regional variability of water availability had not been taken into account.
Choices in energy policy, such as the introduction of a carbon tax, will also
significantly impact on future water resources, placing additional water
demands in some regions and making water available for other users in other
regions with a declining future energy demand. This study presents a
methodology for modelling the water-energy nexus that could be used to inform
the sustainable development planning process in the water and energy sectors
for both developed and developing countries. |
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ISSN: | 2199-8981 2199-899X |