GithubHelp home page GithubHelp logo

mahtep / temoa-europe Goto Github PK

View Code? Open in Web Editor NEW
0.0 0.0 0.0 384.25 MB

Single-region open-database and open-source energy for energy system optimization analyses up to 2050 based on OECD Europe.

License: GNU Affero General Public License v3.0

Python 95.85% Jupyter Notebook 1.89% Makefile 0.63% Shell 0.80% TeX 0.17% HTML 0.05% JavaScript 0.57% CSS 0.03%
energy-system-optimization-model temoa

temoa-europe's Introduction

TEMOA-Europe

Features

TEMOA-Europe is an energy system model instance based on the open-source energy system modeling framework TEMOA for integrated supply and demand optimization. TEMOA-Europe is a case study based on the OECD Europe Reference Energy System and is the first replicable and transparent tool to allow analyses concerning net-zero emissions trajectories.

The developing team includes Prof. Laura Savoldi1, Prof. Valeria Di Cosmo2, Daniele Lerede2, Matteo Nicoli3, Gianvito Colucci3 and Dario Cottafava4.

For any inquiries concerning TEMOA-Europe, please contact [email protected]. For general inquiries concerning TEMOA development within the MAHTEP research group please contact [email protected].

Davide Segantini5 and Daniele Lerede developed the Endogenous Technology Learning (ETL) extension of the model (branch 'etl').

The temoa_energysystem/ directory contains the database of the techno-economic description for the European energy system over a time scale starting from 2005 and up to 2050 and results postprocessing files:

  • TEMOA_Europe.sql is the text file containing the modifiable version of the database
  • TEMOA_Europe.sqlite is the relational dataset containing all data from TEMOA_Europe.sql and the necessary modifications apported through database_preprocessing.sql (application of interpolation rules, computation of emission activities, demand projection). database_preprocessing.sql is automatically called when running database_creator.sql.

The TEMOA_Europe_Results/ directory contains a set of detailed scenario results including: 1) Composition of the transport sector (including technological mix and fuel mix); 2) Primary energy supply; 3) Composition of the electricity generation system; 4) Hydrogen production 5) Final energy consumption 6) Composition of the heat generation sector; 7) Composition of the biofuels production sector; 8) Industrial energy consumption and technology mix; 9) Composition of the energy import/export sector. All the results are aggregate in the Results_*.xlsx file.

If you already have TEMOA ready to run on your PC, please ensure you are using the version of the model files located in the temoa_model folder provided here (the main difference with respect to the standard version of the model is the implementation of capacity retirement for existing technologies).

References

[1] D. Lerede, V. Di Cosmo, 'Temoa-Europe: An Open-Source and Open-Data Energy System Optimization Model for the Analysis of the European Energy Mix', submitted to Energy, 2024.

Contributions

The developing team wishes to receive help form the users in the definition and test of new test cases, in the benchmark against other established software, in the update of other functionalities. To contribute please refer to contribution.

Code of Conduct

The developing team agreed to embrace the Contributor Covenant Code of Conduct.

License

TEMOA-Europe is licensed under AGPL or any other version of it.

Footnotes

  1. Full Professor @ Politecnico di Torino, Head of the MAHTEP research group.

  2. Postdoctoral researcher @ Università degli Studi di Torino, member of the MAHTEP research group. Lead developer of TEMOA-Europe. 2

  3. PhD student @ Politecnico di Torino, members of the MAHTEP research group. 2

  4. Postdoctoral researcher @ Università degli Studi di Torino.

  5. MSc student @ Politecnico di Torino.

temoa-europe's People

Contributors

danielelerede avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.