Photovoltaic-Enabled Aesthetic Cladding for Smart Buildings
智能建筑的光伏美观包层
基本信息
- 批准号:562500-2021
- 负责人:
- 金额:$ 3.64万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In order to meet the energy demand of urban areas with high population densities, greener solutions that efficiently use the available resources are needed. The vertical walls of tall buildings have vast surface areas that can potentially become significant energy harvesting platforms. While the vertical walls are somewhat less optimal for solar panel implementation than roof-tops, they offer a lot larger surface area. At the same time, unlike the roof-tops, the vertical walls must have a pleasing appearance with higher aesthetic standards because of their visibility. The primary goal of this research partnership between the University of Waterloo and GCAT Inc., a major building cladding manufacturer, is to develop aesthetically inspired photovoltaic (PV)-enabled building cladding for smart buildings. The research will develop scalable processes for the embedment of high performance solar cells in building claddings with control over the aesthetics of the final product while also maximizing the PV output. Exploiting various physical phenomena of thin films and nanostructures, techniques will be developed to modify glass sheets used in standard solar panels, enhance optical thin films, and incorporate nanoscale plasmonic structures, while also maintaining maximum possible transparency. The color and texture perceived by the viewer will be a key aesthetic parameter that needs to be controlled in these building-integrated PV devices. Realization of certain colours, especially lighter ones where a broader wavelength range of photons get reflected, will inevitably come with some penalty on the energy output of the PV panel. A key aspect of this project is the development of processes that lead to an optimized photovoltaic-architectural performance. Prototypes of PV-incorporated cladding will be demonstrated following the different techniques and evaluated for architectural compatibility. This research, coupled with the rapidly declining PV prices seen in recent times, will contribute strongly to reduce the carbon footprint particularly in urban areas, and opens up commercially viable opportunities for the building industry.
为了满足人口密度高的城市地区的能源需求,需要有效利用可用资源的绿色解决方案。高层建筑的垂直墙具有巨大的表面积,有可能成为重要的能量收集平台。虽然垂直墙对于太阳能电池板的安装来说不太适合屋顶,但它们提供了更大的表面积。同时,与屋顶不同的是,垂直墙由于其可见性,必须具有令人愉悦的外观和更高的审美标准。滑铁卢大学和主要建筑覆层制造商 GCAT Inc. 之间的研究合作的主要目标是为智能建筑开发具有美学灵感的光伏 (PV) 建筑覆层。该研究将开发可扩展的工艺,将高性能太阳能电池嵌入建筑覆层中,控制最终产品的美观,同时最大限度地提高光伏输出。利用薄膜和纳米结构的各种物理现象,将开发技术来修改标准太阳能电池板中使用的玻璃板,增强光学薄膜,并结合纳米级等离子体结构,同时保持最大可能的透明度。观看者感知到的颜色和纹理将是这些建筑一体化光伏设备中需要控制的关键美学参数。实现某些颜色,尤其是反射更宽波长范围的光子的较浅颜色,将不可避免地对光伏面板的能量输出造成一些影响。该项目的一个关键方面是开发可优化光伏建筑性能的工艺。光伏结合包层的原型将按照不同的技术进行演示,并评估建筑兼容性。这项研究,加上近年来光伏价格的迅速下降,将为减少碳足迹(特别是城市地区)做出巨大贡献,并为建筑业开辟商业上可行的机会。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
SIVOTHTHAMAN, SIVAS其他文献
SIVOTHTHAMAN, SIVAS的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
M2DESCO - Computational Multimode Modelling Enabled Design of Safe & Sustainable Multi-Component High-Entropy Coatings
M2DESCO - 计算多模式建模支持安全设计
- 批准号:
10096988 - 财政年份:2024
- 资助金额:
$ 3.64万 - 项目类别:
EU-Funded
6G Goal-Oriented AI-enabled Learning and Semantic Communication Networks (6G Goals)
6G目标导向的人工智能学习和语义通信网络(6G目标)
- 批准号:
10110118 - 财政年份:2024
- 资助金额:
$ 3.64万 - 项目类别:
EU-Funded
Low Carbon Impact AI-Enabled Net Zero Advisory Solution
低碳影响人工智能支持的净零咨询解决方案
- 批准号:
10112272 - 财政年份:2024
- 资助金额:
$ 3.64万 - 项目类别:
SME Support
N2Vision+: A robot-enabled, data-driven machine vision tool for nitrogen diagnosis of arable soils
N2Vision:一种由机器人驱动、数据驱动的机器视觉工具,用于耕地土壤的氮诊断
- 批准号:
10091423 - 财政年份:2024
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative R&D
CBET-EPSRC: TECAN - Telemetry-Enabled Carbon Aware Networking
CBET-EPSRC:TECAN - 支持遥测的碳感知网络
- 批准号:
EP/X040828/1 - 财政年份:2024
- 资助金额:
$ 3.64万 - 项目类别:
Research Grant