Design and optimization of cooling towers

冷却塔的设计与优化

基本信息

批准号：
501081-2016
负责人：
SecanellGallart, Marc
金额：
$ 16.76万
依托单位：
University of Alberta
依托单位国家：
加拿大
项目类别：
Collaborative Research and Development Grants
财政年份：
2018
资助国家：
加拿大
起止时间：
2018-01-01 至 2019-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664645
关键词：
Design optimization cooling towers

项目摘要

Cooling towers are widely used to dissipate the low-grade heat of thermo-electric power plants, chemical and petrochemical process industries, and refrigeration and air conditioning plants. Wet cooling tower requirements in the U.S. are about 3 times larger than all domestic water consumption. During cold winter months, wet cooling tower also produce visible plumes of condensed steam above the tower which can pose threats to agriculture and the transportation industries (air and ground) due to reduced visibility and even ice formation on neighbouring roads. Increased regulations on water consumption and plume visibility, combined with the requirement to develop power plants in more arid conditions where a dependable source of make-up water is unavailable, as it is typically the case for solar thermal and geothermal energy applications, requires engineers to develop tools to design improved cooling tower technologies. ** Numerical modeling and optimization of wet, and especially hybrid cooling towers, has not been the topic of intense research. Hybrid towers combine dry cooling, which do not exploit evaporative cooling, with wet cooling in order to reduce water requirements and visible plumes. In this proposal, analytical and numerical simulation tools to study wet and hybrid cooling towers will be developed. Research will focus on analytical tools for the fill and plume zone, which are critical to both wet and hybrid towers, and numerical tools for the fill and the entire tower. Numerical tools are necessary to study inlet geometries, fill operation under cross-flow, and environmental conditions. The numerical tools will be integrated with optimization algorithms to be able to design optimal cooling towers that limit power consumption and water make-up requirements. Optimal design will be tested experimentally at facilities that will be developed at the University of Alberta. The aim of the project is to provide the cooling tower industry in Canada, and in particular International Cooling Towers Inc., with the numerical tools and highly qualified personnel required to continue to grow and contribute to the Canadian economy.******

冷却塔被广泛用于消散热电厂，化学和石化工艺工业以及制冷和空调厂的低级热量。美国湿冷却塔的需求大约是所有家庭用水的大约3倍。在寒冷的冬季，由于可见性降低，在附近的道路上，潮湿的冷却塔在塔楼上方还会产生可见的凝结蒸汽羽毛，可能对农业和运输行业（空气和地面）构成威胁。在更干旱的条件下开发发电厂的需求增加了，在更干旱的条件下，不可用的化妆品来源不可用，因为太阳能热和地热能应用通常是这种情况，因此需要工程师开发工具来开发工具来开发工具来设计改进的冷却塔技术。 **湿的数值建模和优化，尤其是混合冷却塔，这并不是强烈研究的主题。混合塔结合了干燥冷却，不会利用蒸发冷却，并湿冷却，以减少水需求和可见的羽流。在此提案中，将开发研究湿和混合冷却塔的分析和数值模拟工具。研究将重点放在填充和羽状区域的分析工具上，这对湿塔和混合塔至关重要，以及用于填充和整个塔楼的数值工具。数值工具对于研究入口几何形状，填充跨流和环境条件的操作是必要的。数值工具将与优化算法集成，以设计最佳的冷却塔，以限制功耗和水的化妆要求。最佳设计将在将在艾伯塔大学开发的设施中进行实验测试。该项目的目的是提供加拿大的冷却塔行业，尤其是国际冷却塔公司，并提供数值工具和高素质的人员，以继续发展并为加拿大经济做出贡献。********