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首页> 外文期刊>Proceedings of the International Association of Hydrological Sciences >Modelling the water energy nexus: should variability in water supply impact on decision making for future energy supply options?
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Modelling the water energy nexus: should variability in water supply impact on decision making for future energy supply options?

机译:建立水能源联系的模型:供水的可变性是否会影响未来能源供应方案的决策?

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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.
机译:南非,澳大利亚,印度,中国和美国等许多国家高度依赖燃煤发电厂来发电。这些电站需要大量的水,特别是在安装了减少污染和气候变化影响的技术时。随着水资源的压力,重要的是要在未来的能源规划中考虑到水资源的空间变化,特别是在促使人们从燃煤电厂向可再生能源技术转换的过程中。在需要增加电力生产以及随之而来的能源需求增加的发展中国家中,尤其如此。通常,未来的能源供应方案是使用最小成本优化模型(例如TIMES)建模的,该模型将供水视为投入成本,但对于所有技术通常都是恒定的。不同的能源技术位于该国的不同地区,水的供应水平不同,相关的基础设施建设和供应成本也不同。在这项研究中,我们为计划开发不同能源技术的国家不同地区的未来供水方案开发了边际成本曲线。然后,将这些供水成本曲线用于称为SAMIT-W的南非TIMES模型的扩展版本中,该模型通过考虑与不同能源供应技术相关的供水可用性的区域性来显式建模水能源关系。结果表明,在最佳未来能源结构中存在显着差异,尤其是可再生能源的增长以及对干冷技术的需求,如果不考虑可用水量的地区差异,情况就不会如此。能源政策的选择,例如征收碳税,也将对未来的水资源产生重大影响,未来某些地区的用水需求将增加,而随着未来能源需求的下降,其他地区的其他用户也可以使用水。这项研究提出了一种水能源关系建模方法,可用于为发达国家和发展中国家的水和能源部门的可持续发展规划过程提供信息。

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