platform
Energy Policies Optimization
A project that relies on a climate change simulator to optimize energy policies.
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Decision makers
- Energy policy makers
- Climate change policy makers
- Government officials
Objectives
To optimize energy policies to minimize temperature change, cost of energy, government spending, and reduction in energy demand.
Interactive application
The user interface is available here: Energy Policies Optimization
Data attributes
Context
A scenario like one of the five Shared Socioeconomic Pathways from the AR6 climate report, or a custom scenario.
- Long-Term Economic Growth (GDP Per Person)
- Near-Term Economic Growth (GDP Per Person)
- Transition Time (Years)
- Population (Billion)
Actions
A set of energy policies to be implemented for:
- Coal
- Oil
- Natural Gas
- Renewables
- Bioenergy
- Nuclear
- Carbon Pricing and Energy Standards
See the 'Show Actions' button in the interactive application for details.
Outcomes
- Temperature change from 1850 (°C) (Minimize)
- Highest cost of energy (($/GJ)) (Minimize)
- Government spending (T$) (Minimize)
- Reduction in energy demand (EJ) (Minimize)
Data
Decisions are evaluated using the En-ROADS Climate Solutions Simulator.
Code
The code for this project is available here: GitHub
References
Discussion
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