Dynamic optimization in energy, environmental and finance

能源、环境、金融动态优化

• 批准号: 227838-2011
• 负责人: Denault, Michel
• 金额: $ 1.38万
• 依托单位: HEC Montréal
• 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=636666
• 关键词: Dynamic; optimization; energy; environmental; finance

In this research, we develop mathematical models and tools to improveour understanding of two key problems. The first problem is the management of energy resources, mainly power, to maximizetheir productivity without incurring undue risks. We need to account for the dynamicnature of the problem, that is, the state of the world changes as time unfolds, andearly decisions have to account for this in the best possible way.The second problem is the design of greenhouse gases (GHG) control policies. While most scientists agree that a curbing of GHG is absolutely necessary, politicians largely disagree on the way to achieve any reductions. It is our goal to provide analyticaltools to help in comparing policies, on various counts.

在这项研究中，我们开发了数学模型和工具，以提高我们对两个关键问题的理解。第一个问题是能源资源的管理，主要是电力，以最大限度地提高其生产力，而不会招致不必要的风险。我们需要考虑到问题的动态性，也就是说，世界的状况会随着时间的推移而变化，因此我们的决策必须以最好的方式考虑到这一点。第二个问题是温室气体控制政策的设计。虽然大多数科学家都认为控制温室气体是绝对必要的，但政治家们在实现任何减排的方式上基本上意见不一。我们的目标是提供分析工具来帮助比较不同方面的政策。