pLAtYpus

This repository contains the pLAtYpus model.

Authors and contact

Carlos Montalvo ([email protected]) Omar Usmani ([email protected])

Installation and use

Installation

Install the model via Pypi:

pip install pLAtYpus_TNO

(or copy the files in the src/pLAtYpus_TNO/ folder) You will also need a configuration file that can be found in the root folder of the Github repository

Use

Model explanation

Phases

Attention

Enable

Attention

Sources

Map data

The map boundaries are taken from eurostat/EuroGeoGraphics https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-files.html © EuroGeographics for the administrative boundaries You can download them there and put the into the input/map_data/ folder For running the whole model, you also need survey data in the input/survey_data/ folder Note that the survey data is not yet publically available. Contact the authors for more information. As such, you cannot run all the functions of the model. You can however use the ones in GRETA_tool, or you can use the following code to make the outputs (this code is in the make_all_outputs.py source file)

from ETS_CookBook import ETS_CookBook as cook

try:
    from pLAtYpus_TNO import solver
except ModuleNotFoundError:
    import solver

try:
    from pLAtYpus_TNO import maps
except ModuleNotFoundError:
    import maps


def make_all_outputs(parameters):
    solver.get_all_evolutions_and_plots(parameters)
    maps.make_long_term_average_tables(parameters)
    maps.make_area_maps(parameters)
   

if __name__ == '__main__':
    parameters_file_name = 'pLAtYpus.toml'
    parameters = cook.parameters_from_TOML(parameters_file_name)
    make_all_outputs(parameters)

You can however run the tool part with the provided pLAtYpus.sqlite3 (and its version containing only survey data, used for resets) that is in the output/ folder in the Github repository

Licence

pLAtYpus is released under the Apache 2.0 licence. All accompanying documentation and manual are released under the Creative Commons BY-SA 4.0 license.

Libraries/dependencies

For the used libraries, see requirements.txt To create the right running environement, do the following:

1. Create virtual environment: python -m venv your_environment_name
2. your_environment_name/Scripts/activate.bat
3. virtualenv --clear /your_environment_name
4. Select interpreter (in help if using VS Codes) and choose the one in your_environment_name
5. Kill terminal
6. Start new terminal
7. Install the requirements: pip install -r requirements.txt

Context, goals, and future developments

Driver

The primary driver for the publication and development of pLAtYpus in this repository is the participation in the GRETA project (funded from the European Union’s HORIZON 2020 Research and Innovation programme under grant agreement N°101022317.).

This model was used in the GRETA Analytics tool.

GRETA Analytics is a Shiny app developed by GESIS – Leibniz Institute for the Social Sciences in close collaboration with all GRETA partners and maintained by Jonas Lieth ([email protected]) https://projectgreta.shinyapps.io/greta-analytics/?tab=stakeholder

Goal

The main goal of providing this repository is transparency regarding the assumptions and computations of the pLAtYpus model.

Uses outside GRETA

Prior to GRETA

Change and Innovation

1. Explaining and predicting the impact of regulation on innovation: towards a dynamic model, Carlos Montalvo, International Journal of Public Policy, Vol 2, pp 5-31
2. Carlos Montalvo, What triggers change and innovation?, Technovation, Volume 26, Issue 3, 2006, Pages 312-323, ISSN 0166-4972,
3. Environmental Policy and Technological Innovation Why Do Firms Adopt or Reject New Technologies? (New Horizons in the Economics of Innovation Series), Carlos Montalvo, An edition of Environmental Policy and Technological Innovation (2002)

CODEC

1. Geerte L. Paradies, Omar A. Usmani, Sam Lamboo, Ruud W. van den Brink, Falling short in 2030: Simulating battery-electric vehicle adoption behaviour in the Netherlands, Energy Research & Social Science, Volume 97, 2023, 102968, ISSN 2214-6296
2. Modelling consumer decisions towards sustainable energy technology, S. Brunsting, R. Matton, C. Tigchelaar, l. Dreijerink, G.L. Paradies, J. Jamssen, O. Usmani, TNO, Decmeber 2018
3. Marc Londo, Robin Matton, Omar Usmani, Marieke van Klaveren, Casper Tigchelaar, Suzanne Brunsting, Alternatives for current net metering policy for solar PV in the Netherlands: A comparison of impacts on business case and purchasing behaviour of private homeowners, and on governmental costs, Renewable Energy, Volume 147, Part 1, 2020, Pages 903-915, ISSN 0960-1481

After/during GRETA

1. Montalvo, C., Schlindwein, L., Ruggieri, B., Kantel, A. (2021). Framework for research on energy citizenship emergence structure and dynamics. D1.1 of the Horizon 2020 project GRETA, EC grant agreement no 101022317, The Hague, The Netherlands
2. López, A.; Hermoso, N.; Sánchez, B.; Usmani, O.; Montalvo, C.; Abel, D.; Lieth, J.; Jünger, S.; Kuronen, T.; Lensu, L. (2023). Definition of the modelling framework. D4.2 of the Horizon 2020 project GRETA, EC grant agreement nº 101022317, Bilbao, Spain.

Future

pLAtYpus will be used in other projects that will be listed here, if deemed relevant and apprpriate within the context of these projects.

Acknowledgments

 

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	The pLAtYpus model orginally has been developped within [GRETA](https://projectgreta.eu/), which has received funding from the European Union’s HORIZON 2020 Research and Innovation programme under grant agreement N°101022317.