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Energy Balance Studio and MAED (demand projections)
In this course, participants will learn about energy system analysis and how to use two of the IAEA modelling tools: Energy Balance Studio and the Model for Analysis of Energy Demand.
Course
19 hrs
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Infrastructure and Climate Resilience
This course is centred around the role that infrastructure systems play in enabling climate-compatible and sustainable development in an uncertain future, providing the latest science and tools in this field.
Course
20 hrs
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Energy and Flexibility Modelling: OSeMOSYS & FlexTool (Windows)
(WINDOWS version) Participants will learn to use energy modelling tools to understand the investments needed to meet growing energy demands alongside environmental and energy security constraints, while assessing system flexibility to account for high renewables penetration.
Course
32 hrs
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Energy and Flexibility Modelling: OSeMOSYS & FlexTool (MAC)
(MAC version) Participants will learn to use energy modelling tools to understand the investments needed to meet growing energy demands alongside environmental and energy security constraints, while assessing system flexibility to account for high renewables penetration.
Course
32 hrs
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Agent-based energy systems modelling: MUSE
This course will help participants understand the types of investments that could be made to ensure a sustainable and secure energy system from a global or national perspective using an agent-based methodology.
Course
10 hrs
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Infrastructure and Climate Resilience
This course is centred around the role that infrastructure systems play in enabling climate-compatible and sustainable development in an uncertain future, providing the latest science and tools in this field.
Course
20 hrs
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Modelling, Policy and Political economy
This course will help participants understand the relationship between energy systems modelling and policymaking, and introduce the concept of political economy analysis.
Course
12 hrs
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Energy Demand Projections with MAED (Model for Analysis of Energy Demand)
This course will teach participants how to use the International Atomic Energy Agency (IAEA) modelling tool called the Energy Balance Studio (EBS). Participants will learn the theory behind energy balances, and how to use the EBS tool to construct energy balances
Course
20 hrs
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Energy and Flexibility Modelling: OSeMOSYS & FlexTool (Windows)
(WINDOWS version) Participants will learn to use energy modelling tools to understand the investments needed to meet growing energy demands alongside environmental and energy security constraints, while assessing system flexibility to account for high renewables penetration.
Course
32 hrs
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Energy and Flexibility Modelling: OSeMOSYS & FlexTool (MAC)
(MAC version) Participants will learn to use energy modelling tools to understand the investments needed to meet growing energy demands alongside environmental and energy security constraints, while assessing system flexibility to account for high renewables penetration.
Course
32 hrs
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Energy Demand Projections with MAED (Model for Analysis of Energy Demand)
This course will teach participants how to use the International Atomic Energy Agency (IAEA) modelling tool called the Energy Balance Studio (EBS). Participants will learn the theory behind energy balances, and how to use the EBS tool to construct energy balances.
Course
20 hrs
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Input-Output analysis and modelling with MARIO
The main goal of the course is to introduce you to the fundamentals of quantitative impact assessment methods and models. These quantitative models are specifically designed to assess the prospective environmental and economic impacts resulting from the application of technological or policy interventions at meso and macro-scale, comprehensively including supply-chain effects in a Life Cycle perspective.
Course
40 hrs
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Geospatial clean cooking access modelling using OnStove
In this course you will be introduced to OnStove, an open-source spatial clean cooking tool identifying the best cooking solutions across any given area based on their costs and benefits. The track will take you from start to finish, from creating your own spatial repository to modifying your spatial data, calculating the net-benefits of different cooking solutions and lastly visualizing and presenting your results.
Course
32 hrs