Computational methods for analysis and optimization of solar thermal energy collection and storage technologies

太阳能热能收集和存储技术分析和优化的计算方法

• 批准号: RGPIN-2017-04078
• 负责人: DeGroot, Christopher
• 金额: $ 1.53万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638717
• 关键词: Computational; methods; analysis; optimization; solar

The global demand for energy continues to increase rapidly, despite the fact that greenhouse gas emissions from energy production pose an increasingly urgent threat to the environment. While the renewable energy sector has grown significantly in recent years, and now makes up 14% of the total energy supply, this growth must be sustained in order to meet new targets for greenhouse gas emissions. Most of the current renewable energy mix is made up of hydroelectric, biofuels, and waste, while geothermal, solar, wind, and heat energies still account for less than 2% of the total energy supply. The relative absence of solar energy is particularly intriguing, given that the sun delivers many times more energy to the earth than what is needed to satisfy society's energy needs.

全球对能源的需求继续迅速增加，尽管能源生产所排放的温室气体对环境构成日益紧迫的威胁。 虽然可再生能源部门近年来大幅增长，目前占能源供应总量的14%，但为了实现温室气体排放的新目标，必须保持这种增长。 目前大部分可再生能源组合由水电、生物燃料和废物组成，而地热、太阳能、风能和热能仍占总能源供应的不到2%。 太阳能的相对缺乏特别令人感兴趣，因为太阳向地球提供的能量比满足社会能源需求所需的能量多出许多倍。