Report on model application in the case studies: challenges and lessons learnt: Deliverable 7.2. Sustainable Energy Transitions Laboratory (SENTINEL) project
Creators
- Serafeim Michas1
- Nikos Kleanthis1
- Vassilis Stavrakas1
- Amanda Schibline2
- Andrzej Ceglarz2
- Alexandros Flamos1
- Dimitra Tzani1
- Dimitris Papantonis1
- Leonidas Kliafas1
- Diana Süsser3
- Johan Lilliestam3
- Miguel Chang4
- Jakob Zinck Thellufsen4
- Henrik Lund4
- Souran Chatterjee5
- Gergely Molnar5
- Diána Ürge-Vorsatz5
- Bryn Pickering6
- Raffaele Sgarlato7
- Nieves Casas Ferrús7
- Cornelis Savelsberg7
- Cristina Madrid López8
- Nick Martin8
- Laura Talens Peiró8
- Gabriel Oreggioni9
- Iain Staffell9
- Alexandra Psyrri10
- Stefan Pfenninger11
- Jakob Mayer12
- Gabriel Bachner12
- Karl Steininger12
- Stratos Mikropoulos13
- Hsing-Hsuan Chen13
- Mark Roelfsema13
- 1. Technoeconomics Systems of Energy Laboratory (TEESlab), Department of Industrial Management & Technology, School of Maritme and Industry, University of Piraeus, Karaoli & Dimitriou 80, Piraeus, 185 34, Greece
- 2. Renewables Grid Initiative, Manfred-von-Richthofen-Straße 4 12101, Berlin, Germany
- 3. Institute for Advanced Sustainability Studies e.V. (IASS) Berliner Strasse, 130 D-14467 Potsdam, Germany
- 4. Aalborg University, Fredrik Bajers Vej 7K, 9220 Aalborg East, Denmark
- 5. Central European University Private University, Quellenstraße 51, A-1100 Wien, Austria
- 6. ETH Zurich, Rämistrasse 101 8092 Zurich, Switzerland
- 7. Hertie School, Friedrichstraße 18010117 Berlin, Germany
- 8. Universitat Autònoma de Barcelona, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain
- 9. Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX, Great Britain
- 10. Power Public Company, Athens, Greece
- 11. Delft University of Technology, Mekelweg 5, 2628 CD Delft, Netherlands
- 12. University of Graz, Universitätspl. 3, 8010 Graz, Austria
- 13. Utrecht University, Heidelberglaan 8, 3584 CS Utrecht,, Netherlands
Description
Although energy system models have become more complex, it does not necessarily mean that they are better suited to answer the questions, or address the challenges, faced by decision- and policymakers. In this report, we aim to tackle such critical issues and challenges of the European energy transition towards climate neutrality by 2050, with the user-driven updated SENTINEL modelling ensemble. Specifically, we showcase the applicability and usefulness of the SENTINEL modelling suite in the context of three case studies, a. a Continental level case study (European Union, Iceland, Norway, Switzerland, the United Kingdom, and some Balkan countries), b. a Regional level case study (Nordic countries), and c. a National level case study (Greece). Specifically, this report provides details on input data, as well as model linkages and results, and serves two purposes. It provides (i). detailed specifications for the application of the SENTINEL models in the context of policy-relevant scenarios and energy and climate targets, and (ii). answers to stakeholders’ critical research questions through scientific evidence from the SENTINEL models.
Modelling results relevant to the power sector’s transformation showcase that the transition to a low-carbon power sector would need to consider potential lock-ins to intermediate technologies, such as natural gas, which could decrease European energy security, and increase import dependency. On the demand side, the potential for energy demand reduction in the European transport sector is large, while the industry sector presents inertia. However, electrification in both sectors is expected to become significant, which would decrease fossil-fuel extraction and use, and consequently direct fossil carbon dioxide emissions. Furthermore, achieving decarbonisation in the building sector by 2050 is possible but would require a higher annual rate of high-efficiency renovations and new buildings than currently prescribed, which would also require strong political support to accelerate the implementation of measures. Overall, increasing electrification across all demand sectors is expected to cause changes in total and hourly power demand, which could potentially increase peak demand. In this context, sector coupling can provide the necessary flexibility to the power system and ensure an adequate balance between energy supply and demand. Regarding the environmental impacts of the energy transition, we highlight that greenhouse-gas emission reductions should not be looked at solely, as the effect of the energy transition on other aspects (such as for example, human toxicity, human health, water depletion, particulate matter formation, terrestrial acidification, etc.) may be negative. On top of that, risks regarding the availability of critical raw materials should be taken into account to avoid scarcity of raw materials required for key new renewable technologies. Finally, on the socio-economic aspect, we show that although a people-powered, decentralised energy system has the highest system cost, it has the largest economy-wide welfare benefits, including positive aggregate EU27+ employment effects by 2030 and by 2050.
Notes
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D7.2 Model application in the case studies challenges and lessons learnt.pdf
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(14.3 MB)
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