Optimal Design of Renewable Energy Supply Chains Under Uncertainty
Optimal Design of Renewable Energy Supply Chains Under Uncertainty
批准号:
RGPIN-2020-05866
负责人:
Afshari, Hamid
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:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
可再生能源供应链(RESC)作为减少化石燃料消费对环境影响的有效途径,在全球范围内得到越来越多的采用。最近的一个趋势是在住宅和工业用户之间的供应链范围内扩大可再生能源。然而,还需要进一步的研究,以提供洞察力,以住宅和工业用户,特别是中小型用户,由于他们缺乏获得专业知识和研究资金。这个独立研究项目的长期目标是制定一个全面的框架,通过向可持续能源的过渡,指导加拿大能源部门的利益相关者。这项研究计划对加拿大至关重要,因为有大量的中小型能源用户(SMU)生活在农村和偏远社区。特别是,我们需要一个加拿大的可持续能源消费解决方案,考虑到环境,商业,文化和可用的能源资源,这是通过审查和基准其他国家的经验抛光。在未来5年内,将追求3个相互关联的短期目标,以支持长期目标:(1)制定一个框架,以评估为SMU发展RESC的可行性,(2)制定一个框架和模型,以优化不确定性下的RESC,(3)制定一个框架和模型,以在RESC中实施“共享经济”。 目标1将侧重于制定一个分析框架,以研究加拿大中小型能源用户应用可再生能源和可再生能源的可行性。在这一目标范围内,将开发一个模型,用于在不同地理、规模和能源配置环境中实现可再生能源的最佳组合。目标2将调查与RESC相关的一系列不确定性。此外,将对供应链的不同利益攸关方进行调查,以确定实施可再生能源和可再生能源公司的个人态度和利益。目标3将审查在RESC中实施共享经济的挑战和机遇。因此,通过实施共享经济所创造的价值可以使用数学建模来量化。建模的结果将为政策制定者提供指导,以确定共享RESC实现可持续性的不同途径。 每个目标的审查框架和模型将通过应用于现实世界的案例(即,工业和住宅合作伙伴)。重点将放在研究不足的可再生能源,如能源共生。这项研究涉及本科生和研究生,以增加研究领域的高素质人才(HQP)数量,这对加拿大和世界各国都非常重要。总的来说,这项研究计划将促进向可持续能源供应链的过渡,并减少对下一代的环境影响。
英文摘要
The adoption of renewable energy supply chains (RESCs) is growing across the world as an effective way to reduce the environmental impact associated with fossil fuel consumption. A recent trend is extending renewable sources of energy in the supply chain context between residential and industrial users. However, further research is needed to provide insight to residential and industrial users, in particular, for small and medium-sized users due to lack of their access to expertise and research funding. The long-term objective of this independent research program is to develop a comprehensive framework to direct stakeholders in the Canadian energy sector through a transition to sustainable energy sources. This research program is crucial for Canada due to a large number of small and medium-sized energy users (SMUs) living in rural and far away communities. In particular, we need a Canadian solution for sustainable energy consumption that considers the environment, business, culture, and available energy resources, which is polished through reviewing and benchmarking other nation's experiences. Over the next 5 years, 3 interrelated short-term objectives will be pursued to support the long-term objective: (1) Develop a framework to evaluate the feasibility of developing RESCs for SMUs, (2) Develop a framework and models to optimize the RESCs under uncertainty, and (3) Develop a framework and models for implementing "sharing economy" in RESCs. Objective 1 will focus on developing an analytical framework to study the feasibility of the application of RESC in Canada for small and medium-sized energy users. Within this objective, a model will be developed for an optimal mix of renewable energy sources in different geographical, size, and energy-profile settings. Objective 2 will investigate a set of uncertainties related to the RESCs. Moreover, different stakeholders of the supply chain will be investigated to identify individual attitudes and interests in implementing RESCs. Objective 3 will review challenges and opportunities to implement the sharing economy in RESCs. As a result, the values created by implementing sharing economy are quantified using mathematical modeling. The outcomes of the modeling will provide a basis for developing guidance for policy-makers looking to identify different pathways towards sustainability in shared RESCs. The reviewed framework and models for each objective will be validated by applying to real-world cases (i.e., industrial and residential partners). The focus will be on understudied renewable sources of energy such as energy symbiosis. This research involves undergraduate and graduate students to increase the number of highly qualified personnel (HQP) in a research area that is very important for Canada and countries across the world. Collectively, this research program will facilitate the transition towards sustainable energy supply chains and the reduction of environmental impact for the next generations.
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Optimal Design of Renewable Energy Supply Chains Under Uncertainty
-
批准号:RGPIN-2020-05866
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.89万
-
财政年份:2022
-
负责人:Afshari, Hamid
-
依托单位:
Optimal Design of Renewable Energy Supply Chains Under Uncertainty
-
批准号:DGECR-2020-00400
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项目类别:Discovery Launch Supplement
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资助金额:$0.91万
-
财政年份:2020
-
负责人:Afshari, Hamid
-
依托单位:
Optimal Design of Renewable Energy Supply Chains Under Uncertainty
-
批准号:RGPIN-2020-05866
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.89万
-
财政年份:2020
-
负责人:Afshari, Hamid
-
依托单位:
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