References#

When we use parameters and assumptions from the literature, we indicate the source using a key in the form of [@first-author:year]. Here's a list of all sources we use:

@Trondle:2019#

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, 100388. https://doi.org/10.1016/j.esr.2019.100388

@Steffen:2019#

Steffen, B. (2019). Estimating the Cost of Capital for Renewable Energy Projects (SSRN Scholarly Paper ID 3373905). Social Science Research Network. https://papers.ssrn.com/abstract=3373905

@Schmidt:2019#

Schmidt, O., Melchior, S., Hawkes, A., & Staffell, I. (2019). Projecting the Future Levelized Cost of Electricity Storage Technologies. Joule, 0(0). https://doi.org/10.1016/j.joule.2018.12.008

@Wirth:2017#

Wirth, H. (2017). Aktuelle Fakten zur Photovoltaik in Deutschland. Fraunhofer ISE. https://www.ise.fraunhofer.de/de/daten-zu-erneuerbaren-energien.html

@Klauser:2016#

Klauser, D. (2016). Solarpotentialanalyse für Sonnendach.ch (p. 50). Swiss Federal Office of Energy. https://www.bfe.admin.ch/bfe/de/home/news-und-medien/publikationen.exturl.html/aHR0cHM6Ly9wdWJkYi5iZmUuYWRtaW4uY2gvZGUvcHVibGljYX/Rpb24vZG93bmxvYWQvODE5Ng==.html

@Gagnon:2016#

Gagnon, P., Margolis, R., Melius, J., Phillips, C., & Elmore, R. (2016). Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling. Environmental Research Letters.

@JRC:2014#

JRC. (2014). ETRI 2014 -- Energy Technology Reference Indicator projections for 2010-2050. JRC. https://ec.europa.eu/jrc/en/science-update/etri

@EuropeanEnvironmentAgency:2009#

European Environment Agency. (2009). Europe’s onshore and offshore wind energy potential [Publication]. https://www.eea.europa.eu/publications/europes-onshore-and-offshore-wind-energy-potential

@Ruiz:2019#

Ruiz, P., Nijs, W., Tarvydas, D., Sgobbi, A., Zucker, A., Pilli, R., Jonsson, R., Camia, A., Thiel, C., Hoyer-Klick, C., Dalla Longa, F., Kober, T., Badger, J., Volker, P., Elbersen, B. S., Brosowski, A., & Thrän, D. (2019). ENSPRESO - an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials. Energy Strategy Reviews, 26, 100379. https://doi.org/10.1016/j.esr.2019.100379

@schroeder:2013#

Schröder, A., Kunz, F., Meiss, J., Mendelevitch, R., & Von Hirschhausen, C. (2013). Current and prospective costs of electricity generation until 2050. https://www.econstor.eu/bitstream/10419/80348/1/757528015.pdf

@DEA:2020#

Danish Energy Agency. (2020). Technology Data for Generation of Electricity and District Heating. https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-generation-electricity-and