5,867 research outputs found
Workflow code related to "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors"
No full textWorkflow code to reproduce results from "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors".
See README.md for more information
Result data related to "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors"
No full textParameter estimations from the conjoint experiments performed in "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors". Parameter estimations are given for different:
* estimands: average marginal component effects (amce) or marginal means,
* variables: choice and rating,
* sectors: buildings (heat) and transport sector,
* subgroups: by-.
Filenames accordingly are: --.csv or ---by-.cs
The global renewable power support policy dataset
Get PDFThe global renewable power support policy dataset was compiled by Sarah Hafner (Anglia Ruskin University, United Kingdom) and Johan Lilliestam (Institute for Advanced Sustainability Studies (IASS), Germany) in February-July 2017 and completed during 2017. The work was led by Johan Lilliestam but each author gathered half of the data. The data was formatted and checked for internal consistency by Tim Tröndle, IASS.
All non-commercial users are allowed to use and manipulate our data, but are required to give appropriate attribution. Hence, please cite this data as:
Hafner, S. & Lilliestam, J. (2019): The global renewable power support dataset. Institute for Advanced Sustainability Studies (IASS) & Anglia Ruskin University, Potsdam & Cambridge. Doi: https://doi.org/ 10.5281/zenodo.3371375.
If you are interested in contributing to and further developing the dataset: please contact Johan Lilliestam (IASS Potsdam).
The search was done in publically available sources, including but not limited to the IEA renewables policy database, res-legal.eu, Worldbank data, as well as data from the responsible national ministries.
Our data holds information on 10 specific policy instruments explicitly dedicated to the support for expansion of renewable electricity generation 1990-2016; some instruments, including taxation of non-renewables or emission trading, affect other sectors than renewable power, but are mentioned in their original policy description to also be dedicated to increasing renewable power. Our data concerns national policy measures, but ignores policies enacted on higher (e.g. EU-level in Europe) or lower (e.g. state-level policies in Canada, USA) political levels. For example, the “no support” entry for the United Arab Emirates indicates that there were no national-level policies: all policies were, in this case, emirate-specific.
The data exists in two versions: one version readable for humans (RE_policies_fullglobal.xlsx) and for each instrument type as .csv. The information in the two versions is identical and differs only in the way it is displayed.
Please refer to the metadata file for a detailed description of the dataset and the data categories
Raw data related to "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors"
No full textRaw survey data related to "Tröndle et al (2023): Public preferences for phasing-out fossil fuels in the German building and transport sectors"
Result data related to "Tröndle et al (2019) -- Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe"
No full textThe files include results to out study investigating the possibility for renewable electricity autarky in Europe. For each administrative unit on the continental, national, regional, and municipal levels these files include:
Name, country, population, current electricity demand, land cover statistics, shared coast with exclusive economic zone
Potential in terms of area [km2], installable capacity [MW], annual electricity yield [TWh]
If you use this data in an academic publication, please cite the following article:
Tröndle, T., Pfenninger, S., & Lilliestam, J. (2019). Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe. Energy Strategy Reviews, 26.
CHANGELOG:
Version 3 (2021-07-19)
* Fix ID of EEZ in shared-coast.csv files.
Version 2 (2019-11-08)
* Add land cover statistics for each unit
Euro-Calliope v1.0.0
No full textA model of the European power system built using Calliope.
This repository contains the workflow routines that automatically build the model from source data. Alternatively to building models yourself, you can use pre-built models that run out-of-the-box.
See README.md for further information.
If you use euro-calliope in an academic publication, please cite the following article:
Tröndle, T., Lilliestam, J., Marelli, S., Pfenninger, S., 2020. Trade-offs between geographic scale, cost, and infrastructure requirements for fully renewable electricity in Europe. Joule
Do dolphins benefit from nonlinear mathematics when processing their sonar returns?
No full textAn interview with author Tim Leighton about the paper
Opportunities for linking young surveyors across professional surveying member organisations and FIG
No full textTim Di Muzio on 'Sabotage'
No full textIn a series of essays published in 2013 and 2014 on capitaspower.com, political economist Tim Di Muzio explored the concept of ‘sabotage’ as it applies to capitalist power. I recently rediscovered these essays and was so impressed by them that I have reposted them here as a single piece.
About the author: Tim Di Muzio is a researcher at the University of Wollongong. He is the author of numerous books, including Debt as power, Carbon capitalism, and The 1% and the Rest of us
Code related to "Tröndle (2020) -- Supply-side options to reduce land requirements of fully renewable electricity in Europe"
No full textThis repository contains the entire scientific project, including code and report. The philosophy behind this repository is that no intermediary results are included, but all results are computed from raw data and code. The workflow is executed using Snakemake.
Please see `README.md` for further information
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