Next generation of design methods and buildling systems for improving energy efficiency

用于提高能源效率的下一代设计方法和构建系统

• 批准号: RGPIN-2020-05911
• 负责人: Gosselin, Louis
• 金额: $ 4.01万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=717412
• 关键词: Next; generation; design; methods; buildling

More then ever, energy efficiency is crucial for our development. The environmental concern of the population is encouraging everyone to increase the energy performance of all kinds of systems. According to the International Energy Agency (IEA), there is a potential for energy saving of 60% compared to current situation in the building sector and of 70% in the industrial sector. Currently, one can say that there is a “tension” between different trends in energy efficiency. On the one hand, in order to achieve the potential energy savings mentioned above, many believe that advances in big data, artificial intelligence and automation are to way to go. At the same time, others are trying to take advantage or to better account for the role of “humans” (users, designers, operators, etc.). Enhancing the energy performance of buildings is the central topic of the present proposal and the specific color of the proposal is the reconciliation of “human factors” and “artificial intelligence” in a broad sense. In the first theme, we want to develop new design methods. Three tasks are proposed under this theme. First, we will explore the potential of automation of modeling of HVAC systems to facilitate the recourse to better models by designers. Then, we will develop a framework for finding acceptable solutions from multi-objective optimization in a real design process. This includes co-design activities when more then one person is involved. Finally, the inclusion of occupant behavior in the design process will be explored through different approaches. The second theme of the proposal is the elaboration of new building systems. There are also three sub-tasks under that theme. First, we will explore the potential of prefabrication of large HVAC systems. Second, a reflection on domestic hot water system will be carried to reduce their energy consumption. Finally, a virtual working fluid will be defined to design more easily thermodynamic cycles. In the end, the program will contribute to reduce the energy consumption of our buildings-.

能源效率比以往任何时候都对我们的发展至关重要。人们对环境的关注鼓励每个人提高各种系统的能源性能。根据国际能源署（IEA）的数据，与目前的情况相比，建筑部门的节能潜力为60%，工业部门的节能潜力为70%。目前，人们可以说，在能源效率的不同趋势之间存在着“紧张关系”。一方面，为了实现上述潜在的节能，许多人认为大数据，人工智能和自动化的进步是一条路要走。与此同时，其他人正试图利用或更好地考虑“人”（用户，设计师，运营商等）的作用。提高建筑物的能源性能是本提案的中心议题，提案的具体色彩是广义上的“人为因素”和“人工智能”的调和。 在第一个主题中，我们要开发新的设计方法。在这一主题下提出了三项任务。首先，我们将探索HVAC系统建模自动化的潜力，以便于设计人员求助于更好的模型。然后，我们将开发一个框架，在一个真实的设计过程中从多目标优化中找到可接受的解决方案。这包括多人参与的共同设计活动。最后，将通过不同的方法探讨在设计过程中的居住者行为。该提案的第二个主题是制定新的建筑系统。该主题下还有三个次级任务。首先，我们将探索大型HVAC系统预制的潜力。其次，对生活热水系统进行反思，以降低其能耗。最后，将定义一种虚拟工质，使热力循环的设计更加容易。 最终，该计划将有助于减少我们建筑物的能源消耗。