Hamish Beath
@hamishbeath.bsky.social
Post-doctoral researcher @ Centre for Environmental Policy, Imperial College London.
Work on societal transitions required for deep decarbonisation pathways.
Work on societal transitions required for deep decarbonisation pathways.
September 3, 2025 at 2:04 PM
#LowCarbon #MiniGrid assets face risk of asset stranding, with the expansion of or improvement in reliability of national grids. Good #Policy to ensure these assets can interconnect can reduce this risk, + improve reliability, #emissions and costs! Read the paper here: www.nature.com/articles/s41...
September 3, 2025 at 11:45 AM
#LowCarbon #MiniGrid assets face risk of asset stranding, with the expansion of or improvement in reliability of national grids. Good #Policy to ensure these assets can interconnect can reduce this risk, + improve reliability, #emissions and costs! Read the paper here: www.nature.com/articles/s41...
The study uses #energy system #modelling to explore different scenarios of national grid/mini-grid reliability in #India, and how under different #scenarios, national grid connected mini-grids can offer a promising solution providing clean, affordable and reliable power.
@powerforall.bsky.social
@powerforall.bsky.social
September 3, 2025 at 11:28 AM
The study uses #energy system #modelling to explore different scenarios of national grid/mini-grid reliability in #India, and how under different #scenarios, national grid connected mini-grids can offer a promising solution providing clean, affordable and reliable power.
@powerforall.bsky.social
@powerforall.bsky.social
Read the full paper here! iopscience.iop.org/article/10.1... #ClimateChange #ScenarioAnalysis #IntegratedAssessmentModels #Feasibility
June 12, 2025 at 12:19 PM
Read the full paper here! iopscience.iop.org/article/10.1... #ClimateChange #ScenarioAnalysis #IntegratedAssessmentModels #Feasibility
💻 The framework (named IAMEE) is available in #Python code and is #OpenSource for the community to use and adapt. Code and data are available here github.com/hamishbeath/.... We hope it can enhance the utility of scenario databases for a range of users.
GitHub - hamishbeath/IAMEE: IAM Scenario Exporation and Evaluation Framework
IAM Scenario Exporation and Evaluation Framework. Contribute to hamishbeath/IAMEE development by creating an account on GitHub.
github.com
June 12, 2025 at 12:18 PM
💻 The framework (named IAMEE) is available in #Python code and is #OpenSource for the community to use and adapt. Code and data are available here github.com/hamishbeath/.... We hope it can enhance the utility of scenario databases for a range of users.
Our framework performs well at selecting contrasting scenarios when looking at primary #energy and #CDR. We also highlight important #trade-offs and #synergies between dimensions, and see regional differences in challenges, like higher societal #resilience challenges for the #GlobalSouth. (6/8)
June 12, 2025 at 12:15 PM
Our framework performs well at selecting contrasting scenarios when looking at primary #energy and #CDR. We also highlight important #trade-offs and #synergies between dimensions, and see regional differences in challenges, like higher societal #resilience challenges for the #GlobalSouth. (6/8)
🌡️ We apply our framework to 1.5°C scenarios from the #AR6 Database. We demonstrate some uses for the framework:
1. Illustrative scenario selection with cluster analysis
2 . Exploring tradeoffs and gaps in the scenario database
3. Understanding regional feasibility/desirability challenges
(5/8)
1. Illustrative scenario selection with cluster analysis
2 . Exploring tradeoffs and gaps in the scenario database
3. Understanding regional feasibility/desirability challenges
(5/8)
June 12, 2025 at 12:12 PM
🌡️ We apply our framework to 1.5°C scenarios from the #AR6 Database. We demonstrate some uses for the framework:
1. Illustrative scenario selection with cluster analysis
2 . Exploring tradeoffs and gaps in the scenario database
3. Understanding regional feasibility/desirability challenges
(5/8)
1. Illustrative scenario selection with cluster analysis
2 . Exploring tradeoffs and gaps in the scenario database
3. Understanding regional feasibility/desirability challenges
(5/8)
The framework allows users to explore and evaluate scenarios across seven dimensions:
💰 Economic Feasibility
🪨 Mineral Resource Availability
🏘️ Societal Resilience
🌱 Environmental #Sustainability
⚖️ Interregional #Fairness
💪 Scenario Robustness
📈 Societal Transition Rate
(4/8)
💰 Economic Feasibility
🪨 Mineral Resource Availability
🏘️ Societal Resilience
🌱 Environmental #Sustainability
⚖️ Interregional #Fairness
💪 Scenario Robustness
📈 Societal Transition Rate
(4/8)
June 12, 2025 at 12:07 PM
The framework allows users to explore and evaluate scenarios across seven dimensions:
💰 Economic Feasibility
🪨 Mineral Resource Availability
🏘️ Societal Resilience
🌱 Environmental #Sustainability
⚖️ Interregional #Fairness
💪 Scenario Robustness
📈 Societal Transition Rate
(4/8)
💰 Economic Feasibility
🪨 Mineral Resource Availability
🏘️ Societal Resilience
🌱 Environmental #Sustainability
⚖️ Interregional #Fairness
💪 Scenario Robustness
📈 Societal Transition Rate
(4/8)
Our paper presents a new, open-source, quantitative, multidimensional framework designed to explore and evaluate these scenarios systematically. It can be used to assess scenarios globally or regionally.
June 12, 2025 at 12:06 PM
Our paper presents a new, open-source, quantitative, multidimensional framework designed to explore and evaluate these scenarios systematically. It can be used to assess scenarios globally or regionally.
Large collections of #climate action #scenarios are crucial for guiding #policy, but can be challenging to extract insights from. It's helpful to understand the relative feasibility and also desirability for society of scenarios across a range of relevant dimensions 🧭 (2/8)
June 12, 2025 at 12:05 PM
Large collections of #climate action #scenarios are crucial for guiding #policy, but can be challenging to extract insights from. It's helpful to understand the relative feasibility and also desirability for society of scenarios across a range of relevant dimensions 🧭 (2/8)