Future Technology Transformation
Integrated assessment model with a realistic treatment of technology diffusion.
https://github.com/cpmodel/ftt_standalone
Category: Climate Change
Sub Category: Integrated Assessment and Climate Policy
Last synced: about 12 hours ago
JSON representation
Repository metadata
Future Technology Transformation models
- Host: GitHub
- URL: https://github.com/cpmodel/ftt_standalone
- Owner: cpmodel
- License: mit
- Created: 2022-12-16T22:10:23.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-17T07:36:41.000Z (11 days ago)
- Last Synced: 2025-04-17T22:03:01.302Z (10 days ago)
- Language: Python
- Homepage:
- Size: 1.39 GB
- Stars: 11
- Watchers: 8
- Forks: 1
- Open Issues: 48
- Releases: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
FTT StandAlone
Future Technology Transformation
This repository contains a family of Future Technology Transformation (FTT) models. Models that are included are:
- FTT:Power (Mercure, 2012) - data up to 2019, update to 2021 expected in October
- FTT:Heat (Knobloch et al, 2017) data up to 2020
- FTT:Industrial heat under construction
- FTT:Transport (Mercure et al, 2018) - data up to 2022
- FTT:Freight under construction
Theoretical background
The FTT family of models are based on evolutionary economics. The uptake of new technologies typically follows an S-curve, which can be represented well with evolutionary dynamics (Mercure et al, 2012). The core equations for all of the models in the model family are coupled logistic equations of the Lotka-Volterra family, also known as the predator-prey equations. These equations are used to determine the evolution of the shares of various technologies in the models. Each model contains between ~10 to 25 technologies competing for market share.
FTT and E3ME
This repository contains the public standalone version of FTT, written in Python. A FORTRAN version of the model family is often used together with a macro-economic model as: E3ME-FTT. This model is managed by Cambridge Econometrics, and informs some of the inputs for the standalone model. In specific, energy demand is an output from the coupled model.
Installation and running the model
- Run the install_ce_conda_3.9_external_users.cmd script in _Python_installation to install the prerequisite packages. On top of Anaconda's standard packages, bottle and paste are required.
- You can run the front-end of the model by starting the FTT_Stand_Alone_Launcher.cmd. Alternatively, you can run the model from the run_file.py script for development, but this does not save the data. The basic settings can be edited in the settings.ini file.
- The first time you run the model, csv input files will be created. This takes a few additional minutes.
References
- Knobloch, F., Pollitt H., Chewpreecha U., Daioglou V. and Mercure J-F. (2018) ‘Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5°C’, Energy Efficiency 12, Issue 2, pp 521–550.
- Mercure (2012) FTT:Power : A global model of the power sector with induced technological change and natural resource depletion. Energy Policy 48.
- Mercure, J-F., Lam, A., Billington, S. and Pollitt, H. (2018) ‘Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2°C’, Climatic Change, November 2018, Volume 151, Issue 2, pp 109–129.
- Vercoulen, P.; Lee, S.; Han, X.; Zhang, W.; Cho, Y.; Pang, J. (2023) 'Carbon-Neutral Steel Production and Its Impact on the Economies of China, Japan, and Korea: A Simulation with E3ME-FTT:Steel. Energies 16, 4498. https://doi.org/10.3390/en16114498
Owner metadata
- Name: Climate Policy Assessment Community of Models
- Login: cpmodel
- Email:
- Kind: organization
- Description: The community of Models includes CPAT, Mindset and FTT
- Website:
- Location: United States of America
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/87036185?v=4
- Repositories: 1
- Last ynced at: 2023-05-01T08:37:12.517Z
- Profile URL: https://github.com/cpmodel
GitHub Events
Total
- Create event: 19
- Commit comment event: 2
- Issues event: 8
- Watch event: 1
- Delete event: 10
- Issue comment event: 14
- Push event: 206
- Pull request review comment event: 23
- Pull request review event: 35
- Pull request event: 30
Last Year
- Create event: 19
- Commit comment event: 2
- Issues event: 8
- Watch event: 1
- Delete event: 10
- Issue comment event: 14
- Push event: 206
- Pull request review comment event: 23
- Pull request review event: 35
- Pull request event: 30
Committers metadata
Last synced: 8 days ago
Total Commits: 404
Total Committers: 15
Avg Commits per committer: 26.933
Development Distribution Score (DDS): 0.505
Commits in past year: 201
Committers in past year: 8
Avg Commits per committer in past year: 25.125
Development Distribution Score (DDS) in past year: 0.463
| Name | Commits | |
|---|---|---|
| Femke Nijsse | f****e@p****t | 200 |
| cormacmlynch | 1****h | 50 |
| Rosie Hayward | 1****1 | 36 |
| Ian Burton | i****0@e****k | 32 |
| Rosie Hayward | 1****n | 30 |
| Rishi Sahastrabuddhe | r****1@g****m | 18 |
| Chris Thoung | ct@c****m | 12 |
| AEdwards476 | a****6@e****k | 11 |
| Aicha Kharazi | k****9@g****m | 4 |
| Jamie Pirie | C****P | 3 |
| Pim Vercoulen | pv@c****m | 3 |
| aileenlam28 | 6****8 | 2 |
| Jamie Pirie | 1****n | 1 |
| dbastidas | d****c@g****m | 1 |
| ghardadi | g****i@g****m | 1 |
Committer domains:
- camecon.com: 2
- exeter.ac.uk: 2
- posteo.net: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 90
Total pull requests: 180
Average time to close issues: 5 months
Average time to close pull requests: 12 days
Total issue authors: 14
Total pull request authors: 21
Average comments per issue: 1.17
Average comments per pull request: 0.68
Merged pull request: 126
Bot issues: 0
Bot pull requests: 0
Past year issues: 35
Past year pull requests: 103
Past year average time to close issues: 3 months
Past year average time to close pull requests: 11 days
Past year issue authors: 8
Past year pull request authors: 12
Past year average comments per issue: 0.91
Past year average comments per pull request: 0.55
Past year merged pull request: 69
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- Femkemilene (65)
- cormacmlynch (8)
- rh-camecon (3)
- pv-camecon (3)
- rhayward1 (2)
- PVercoulen-CE (1)
- QuentinLETERRIER (1)
- ldxib2 (1)
- ct-camecon (1)
- gressyde (1)
- rishids01 (1)
- jp-camecon (1)
- AEdwards476 (1)
- jk694exe (1)
Top Pull Request Authors
- Femkemilene (73)
- arpangolechha (18)
- cormacmlynch (18)
- ldxib2 (16)
- rishids01 (15)
- rhayward1 (5)
- rh-camecon (4)
- varunaga13 (4)
- Shruti-d1 (4)
- jp-camecon (3)
- jk694exe (3)
- AEdwards476 (2)
- PurpleHycinth (2)
- PVercoulen-CE (2)
- olelouch (2)
Top Issue Labels
- frontend + backend (9)
- hackathon (8)
- documentation (7)
- enhancement (6)
- good first issue (6)
- question (4)
- bug (3)
- invalid (3)
Top Pull Request Labels
- documentation (2)
Score: 6.785587645007929