Deploying sustainable energy technologies to enhance global development and human well being

利用可持续能源技术促进全球发展和人类福祉

• 批准号: RGPIN-2021-02954
• 负责人: Niet, Taco
• 金额: $ 1.89万
• 依托单位: Simon Fraser University
• 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
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=743809
• 关键词: Deploying; sustainable; energy; technologies; enhance

Addressing the climate emergency requires energy systems models to ensure efficient use of resources. The complexity of the challenges that these models are being asked to address has increased significantly. Models are being asked to represent variable renewable energy and storage, to incorporate trade-offs between land, energy, and water, and to address uncertainties. Not addressing these challenges, synergies and trade-offs can lead to inefficient use of resources. This research program addresses major modelling challenges for sustainable development. The long-term objectives support sustainable development at the local, regional, and international scale through creating effective modelling tools, and apply these tools to policy making around the globe. Short term objectives address uncertainty in systems models, develop algorithms for incorporating the UN Sustainable Development Goals (SDGs), and address challenges posed by demand side management (DSM) and storage. Work addressing uncertainty in energy system models focusses on financial risks and not risks related to climate impacts, nor future demand/population projections. Expanding the risks that models address will result in better policy decisions. For example, addressing the risk of shifts in solar resources can reduce the likelihood of installing solar panels in locations where the future resource is not suitable. Given the resource limitations being faced in addressing the climate crisis, incorporating uncertainty into system models will reduce the inefficient use of resources. Incorporating more aspects of the SDGs into models will address trade-offs and synergies. Recent work incorporates aspects of the nexus of land, energy and water into models, but this needs to be expanded. Expanding the nexus to include health and biodiversity will better address trade-offs. For example, indoor air quality from burning biomass is not currently considered in most electrification plans, but in developing countries these impacts could significantly shift the benefits of electrification. Finally, addressing DSM and storage will be critical in future planning of the energy system. These emerging technologies allow more variable renewable energy sources to contribute to reducing climate emissions, but the modelling tools to represent them are not well studied. Combined, these modelling enhancements will build a strong research program that will enhance decision making. Building models that consider the trade-offs in sustainable development is critical to efficient resource use. HQP working on the program will have the opportunity to apply their modelling knowledge to sustainable development projects around the globe, expanding the impact of the research program.

应对气候紧急情况需要能源系统模型，以确保有效利用资源。要求这些模式应对的挑战的复杂性大大增加。模型被要求代表可变的可再生能源和存储，纳入土地，能源和水之间的权衡，并解决不确定性。不解决这些挑战、协同增效和权衡取舍，可能导致资源利用效率低下。该研究计划解决了可持续发展的主要建模挑战。长期目标通过创建有效的建模工具，支持地方、区域和国际各级的可持续发展，并将这些工具应用于地球仪的政策制定。短期目标解决系统模型中的不确定性，开发算法以纳入联合国可持续发展目标（SDG），并解决需求侧管理（DSM）和存储带来的挑战。解决能源系统模型不确定性的工作重点是金融风险，而不是与气候影响相关的风险，也不是未来需求/人口预测。扩大模型所处理的风险将导致更好的政策决策。例如，解决太阳能资源转移的风险可以减少在未来资源不适合的地方安装太阳能电池板的可能性。鉴于在应对气候危机方面面临的资源限制，将不确定性纳入系统模型将减少资源的低效使用。将可持续发展目标的更多方面纳入模型将解决权衡和协同作用问题。最近的工作将土地、能源和水的关系纳入模型，但这需要扩大。将这一关系扩大到包括健康和生物多样性，将更好地处理权衡问题。例如，目前大多数电气化计划都没有考虑燃烧生物质产生的室内空气质量，但在发展中国家，这些影响可能会大大改变电气化的好处。最后，解决需求侧管理和储能问题将是能源系统未来规划的关键。这些新兴技术使更多可变的可再生能源有助于减少气候排放，但代表它们的建模工具尚未得到充分研究。结合起来，这些建模增强将建立一个强大的研究计划，将提高决策。建立考虑到可持续发展中的权衡的模型对于有效利用资源至关重要。参与该项目的HQP将有机会将他们的建模知识应用于地球仪的可持续发展项目，扩大研究项目的影响。