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型行业,公民建筑和个人运输部门组成的系统设计能源基础设施,目前在加拿大发射了40%的温室气体(GHG)排放,以使其合并的GHG排放量为零净。到目前为止,关于提高能源效率和减少温室气体排放的研究集中在各个部门的机会上。拟议的研究的新颖性是通过整合不同部门之间的能源系统,重点是进一步降低温室气体发射。该计划的长期目标是设计能源融合的公民和工业实体集群,这些集体和工业实体中的总体温室净排放量。例如,一个集群可能包含曲棍球竞技场,住宅综合体(公民结构),以及面包店,超市和啤酒厂(轻型行业)。即使对于部门内能量需求类型的不同之比,群集也需要能够维持靶向的温室气体排放水平。该研究的预期结果是设计路线图,显示了群集的结构(整合程度)和不同能源系统组件的大小如何随靶向的温室气体排放水平而变化,并且由于气候变化而导致的能量需求变化。对于一套社区或城市所需的一套公民建筑和可能的轻型工厂,短期(接下来的五年)目标是:(i)确定群集的配置(哪种类型模块化系统组件的尺寸,以提供需要冗余能力来提高系统对组件故障的弹性和需求变化方面的灵活性,(iv)将最佳路线图定义为系统配置变化(结构和组件能力),以实现特定水平的GHG排放,以及(vi)最低可能的GHG零件与目前可用的GHG零件。 长期(5至10年)的目标是设计净零温室气体排放能量簇,可以满足由于气候变化而导致的能源需求,如果一个或多个组件失败,则可以降解其组件的降解,并且不会遭受级联网络故障。 这项研究将使决策者能够预测自己的能源系统的未来变化,并确定将其修改为零净的最佳途径。 在接下来的5年中。该计划将培训5名本科,1 M.A.Sc和3博士学位;另外3博士学位学生将在一年中进行。 DG Grant 5。除了在技术期刊上发布,该研究的概念结果 /高级摘要还将在广泛访问的媒体上发表,以提高人们对这些选择的认识。

项目成果

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Mahalec, Vladimir其他文献

Reconfiguration of satellite orbit for cooperative observation using variable-size multi-objective differential evolution
利用变尺寸多目标差分演化重构卫星轨道以进行合作观测

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:
    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
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:
    2008
  • 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:
    2007
  • 资助金额:
    $ 2.4万
  • 项目类别:
    Discovery Grants Program - Individual

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