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Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates

Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates
寒冷气候下双层立面的共生优化和基于图像的交互式网络
批准号:
RGPIN-2018-06686
负责人:
Araji, Mohamad
金额:
$1.89万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
By 2050, Canada is expected to have 85% of its population living in cities. Such urban growth would affect renewable natural resources being used in excess of their regeneration capacity. This challenge of a negative ecological impact can be mitigated by adapting a net-zero environmental model in buildings. Current strategies in this model are expanding to include waste, water, carbon, and air in addition to energy. In cold climates, double skin façades (DSF) on buildings can provide a solution to low ambient temperatures and snow deposition for façade-integrated energy production. However, the optimization of DSF is complicated by two problems. First, it is currently not known what are the environmental benefits in optimizing geometric form and efficiency in building façades. Secondly, with the precision needed to achieve net-zero targets, existing façade optimization algorithms are limited in processing numerical data for detecting noises and recognizing contrast. This limitation can be overcome by real time image-based data analysis.***Aside from energy, micro-algae photobioreactors are emerging as a valuable new system that cultures organic feedstock in a nutrient-rich water for biological growth. A DSF system, composed of a pair of glass layers separated by an air space corridor, can house these photobioreactors to extend the environmental performance of a building by absorbing carbon dioxide, releasing oxygen, providing adaptive shading, utilizing a building's wastewater and preserving land resources for alternative harvesting. Using algorithms that operate on image-based data, various inroads can be made in façade optimization of typological, thermal and visual irregularities. These irregularities would involve factors such as DSF glazing properties, thermal behavior, density imbalances in algae, and photobioreactor degradation. ***This research will study new forms of DSF that integrate photobioreactors and monitoring with image-processing functionality in cold climates. The potential value is in solving complex façade design challenges, maximizing energy efficiency, improving parametric building information, and leveraging climate variability. The biggest game-changing impact is in achieving zero environmental footprint in the core of a city. Highly qualified personnel will be trained to gain significant experience and expertise in optimization theory, image-processing, systems implementation, and assessment procedures in façade and photobioreactor technologies.***The research is expected to impact public and private sectors of the energy and building industries; government agencies such as the National Research Council and Natural Resources Canada; policy makers; and the general public. The contributions are expected to further impact the development of standards and codes of environmental design practices relevant to commercial building systems.
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Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates
  • 批准号:
    RGPIN-2018-06686
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Araji, Mohamad
  • 依托单位:
Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates
  • 批准号:
    RGPIN-2018-06686
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2021
  • 负责人:
    Araji, Mohamad
  • 依托单位:
Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates
  • 批准号:
    RGPIN-2018-06686
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2020
  • 负责人:
    Araji, Mohamad
  • 依托单位:
Symbiosis Optimization of Double- Skin Façades and Interactive Image-based Networking in Cold Climates
  • 批准号:
    RGPIN-2018-06686
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2019
  • 负责人:
    Araji, Mohamad
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: