Towards Zero GHG Emissions by Symbiotic Design and Operation of Industrial and Civic Entities

通过工业和民用实体的共生设计和运营实现温室气体零排放

基本信息

  • 批准号:
    RGPIN-2022-04882
  • 负责人:
  • 金额:
    $ 2.4万
  • 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:
    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

项目摘要

The vision for this research program is to design energy infrastructures for systems that are comprised of light industries, civic buildings, and personal transportation sectors, currently emitting 40% of Greenhouse gas (GHG) emissions in Canada, such that their combined GHG emissions are net zero. Until now, the research on increasing energy efficiency and reducing GHG emissions has focused on opportunities within individual sectors. Novelty of the proposed research is the focus on reducing GHG emission even further by integrating energy systems between different sectors. Long term goals of the program are to design clusters of energy-integrated civic and industrial entities that in their aggregate have net zero GHG emissions. For instance, a cluster may contain a hockey arena, a residential complex (civic structures), and a bakery, a supermarket, and a brewery (light industry). Clusters need to be able to maintain the targeted level of GHG emissions even for the varying ratios of the types of energy demands within sectors. Expected outcome of the research is a design roadmap showing how the structure of the clusters (degree of integration) and the sizes of different energy system components vary with the targeted level of GHG emissions and with changes in energy demands due to climate change. For a set of civic buildings and possible light industrial plants required for a community or a city, short term (next five yrs.) goals are: (i) identify configurations of clusters (what types of civic building and of industrial plants) that lead to stable (steady) GHG emissions reduction even when individual subsystem demands vary (ii) determine integration topology so that the integrated systems are not vulnerable to cascading network failures, (iii) modularize sizes of system components to provide redundant capacity required to increase system resilience to component failures and flexibility with respect to changes in demand, (iv) define optimal roadmap to system configuration changes (structure and component capacities) to achieve GHG emissions of specified level, and (vi) lowest possible GHG emissions with presently available technologies. Longer term (5 to 10 yrs.) goal is to design net zero GHG emissions energy clusters that can meet changing energy demands due to climate change, are resilient to degradation of its components, and do not suffer cascading network failures if one or more components malfunction. This research will enable decision makers to anticipate future changes in their own energy systems and determine the best pathways to modify them to be net zero. Over the next 5 yrs. the program will train 5 Undergrad, 1 M.A.Sc., and 3 Ph.D.; additional 3 Ph.D. students will be in progress in yr. 5 of DG grant. Besides publishing in technical journals, conceptual results / high level summaries of the research will be published in widely accessed media in order to raise awareness of these options.
该研究计划的愿景是为由轻工业、民用建筑和个人交通部门组成的系统设计能源基础设施,目前这些部门的温室气体 (GHG) 排放量占加拿大的 40%,因此它们的综合温室气体排放量为净值零。到目前为止,有关提高能源效率和减少温室气体排放的研究主要集中在各个部门内的机会。拟议研究的新颖之处在于通过整合不同部门之间的能源系统进一步减少温室气体排放。该计划的长期目标是设计能源一体化的民用和工业实体集群,这些实体的温室气体净排放量为零。例如,集群可能包含曲棍球馆、住宅区(市政建筑)、面包店、超市和啤酒厂(轻工业)。即使部门内能源需求类型的比例不同,集群也需要能够维持温室气体排放目标水平。研究的预期成果是一份设计路线图,显示集群的结构(一体化程度)和不同能源系统组成部分的规模如何随着温室气体排放目标水平以及气候变化导致的能源需求变化而变化。对于社区或城市所需的一组民用建筑和可能的轻工业工厂,短期(未来五年)目标是:(i)确定集群的配置(民用建筑和工业工厂的类型)即使各个子系统需求发生变化,也能实现稳定的温室气体减排 (ii) 确定集成拓扑,使集成系统不易受到级联网络故障的影响,(iii) 模块化系统组件的大小,以提供提高系统弹性所需的冗余容量组件故障和需求变化方面的灵活性,(iv) 确定系统配置变化(结构和组件能力)的最佳路线图,以实现指定水平的温室气体排放,以及 (vi) 利用目前可用的技术尽可能降低温室气体排放。 长期(5 至 10 年)目标是设计温室气体净零排放能源集群,能够满足因气候变化而不断变化的能源需求,能够抵御其组件的退化,并且在一个或多个组件发生故障时不会遭受级联网络故障。故障。 这项研究将使决策者能够预测自己能源系统的未来变化,并确定将其修改为净零的最佳途径。 在接下来的5年里。该项目将培养本科生5名、硕士1名、博士3名;另外 3 名博士。学生将在今年取得进展。 5 总干事拨款。除了在技术期刊上发表之外,研究的概念性结果/高级摘要还将在广泛访问的媒体上发表,以提高对这些选项的认识。

项目成果

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Mahalec, Vladimir其他文献

Mahalec, Vladimir的其他文献

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{{ truncateString('Mahalec, Vladimir', 18)}}的其他基金

Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Data driven hybrid model identification for control and optimisation of petrochemical and refining plants
用于石化和炼油厂控制和优化的数据驱动混合模型识别
  • 批准号:
    523634-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Collaborative Research and Development Grants
Hybrid modelling and optimization of process systems
过程系统的混合建模和优化
  • 批准号:
    341228-2007
  • 财政年份:
    2010
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Hybrid modelling and optimization of process systems
过程系统的混合建模和优化
  • 批准号:
    341228-2007
  • 财政年份:
    2010
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Hybrid modelling and optimization of process systems
过程系统的混合建模和优化
  • 批准号:
    341228-2007
  • 财政年份:
    2009
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual
Hybrid modelling and optimization of process systems
过程系统的混合建模和优化
  • 批准号:
    341228-2007
  • 财政年份:
    2009
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual

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