利用可持续能源净化水

M. Sajjadnejad, Seyed Mohammad Haghshenas, Vahid Tavakoli Targhi, H. Zahmatkesh, M. Naeimi
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引用次数: 7

摘要

水和能源是环境和可持续能源发展议程上最重要的议题。现代世界的社会和经济健康取决于能源和水的可持续供应。世界上许多遭受淡水短缺的地区越来越依赖净化作为一种高度可靠和非常规的淡水来源。因此,净化市场在最近几十年大大扩大,预计在未来几年将继续。可再生能源在净化和水净化方面的整合越来越具有吸引力。这是合理的,因为淡水短缺的地区有大量的太阳能,这些技术可以使用,因为它们的运行和维护成本低。本文综述了可再生能源利用的系统,包括太阳能集热器、太阳能池、光伏、风能和地热能,并对每个系统的特点进行了讨论和总结。这些可再生能源与传统能源的结合优化了净化装置的性能,减少了维护需求,降低了总成本。研究发现,为特定地区的净化厂选择最佳的可再生能源,应考虑一些重要的决定性因素,如水的盐度、偏远地区、工厂规模、工厂的技术基础设施、容量因素、能源消耗和设备的资本成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilization of Sustainable Energies for Purification of Water
Water and energy are the most important topics on the environment and sustainable energy development agenda. The social and economic health of the modern world depends on sustainable supply of both energy and water. Many areas worldwide suffering from fresh water shortage are becoming increasingly dependent on purification as a highly reliable and non-conventional source of fresh water. Therefore, purification market has greatly expanded in recent decades and expected to continue in the coming years. The integration of renewable energy resources in purification and water purification has become increasingly attractive. This is justified by the fact that areas of fresh water shortages have plenty of solar energy and these technologies can be used due to their low operating and maintenance costs. This review paper discusses the systems that can be used to harness renewable energy sources including, solar collectors, solar ponds, photovoltaics, wind energy and geothermal energy and finally a discussion and conclusion about some distinguished features of each process. Merging of these renewable energy sources with conventional sources has led to optimize the performance of purification plant, less maintenance requirement and reduction in overall cost. It was found that, to choose the best renewable energy source for a purification plant in a particular area, important determinative factors should be considered such as water salinity, area remoteness, plant size, technical infrastructure of the plant, capacity factor, energy consumption and capital cost of the equipment.
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