Livrables
98 Report on second SENTINEL conference month 25
D5.2 Model development to match energy demand models to user needs52 Model development to match energy demand models to user needs The deliverable itself will be a report describing modifications to each of the models in the module month 21
D8.4 Report on in-depth experiments84 Report on indepth experiments This will report on the detailed experiments with two intentions 1 to resolve inconsistencies between the SENTINEL framework and other models and thus identify particular technical strengths weaknesses and limitations and 2 highlight areas of high and low certainty energy systems modelling to help guide future research and decisionmaking month 41
D8.3 Model comparison analysis83 Model comparison analysis This report will compare the results from the SENTINEL framework with those of other models identifying key similarities and inconsistencies month 37
D9.9 Final report on dissemination activities99 Final report on dissemination activities This will provide a synopsis and crossevaluation of the different dissemination activities including achievement of KPIs and the third SENTINEL conference month 42
D4.3 Integration of system design results into economic impacts modelsIntegration of system design results into economic impacts models The deliverable will be a report describing the model linkages month 28
D4.2 Model development to match system design models to user needsModel development to match system design models to user needs The deliverable itself will be a report describing modifications to each of the models in the module month 21
D8.1 Model protocol81 Model protocol This deliverable will specify the modelling protocol to follow with the SENTINEL framework in order to examine the same midcentury results explored by other modelling packages It will describe the key input parameters which are fixed and free and the form of results to be generated month 18
D3.3 Integration of demand model results into system planning modelsIntegration of demand model results into system planning models The deliverable will be a report describing the model linkages month 28
D9.5 Report on initial SENTINEL conference9.5 Report on initial SENTINEL conference. This will evaluate the success of the initial community building and training activity (13)
D9.2Dissemination and communication plan9.2 Dissemination and communication plan. This will set out the specific plan for dissemination and communication, building on the draft plan set forth in section 2 of this proposal. The plan will identify the activities needed to fully exploit the results of the project, including an identification of the decision-making contexts where such exploitation will be likely, and hence needs to be specifically promoted. If necessary, the plan will be revised at the end of the first and second years of the project, with such revisions included in the first and second annual reports, respectively. (month 3)
D7.1 Case specification and scheduling7.1 Case specification and scheduling. This will be a report detailing the specific decision-making cases, reviewing relevant literature related to the decisions, and containing a plan for the model specification and stakeholder interaction throughout the three case studies (month 18).
D9.4 Best practice guidelines for model transparency9.4 Best practice guidelines for model transparency. This will be the primary document informing the modelling teams of the requirements for their models, supporting their final tasks of opening their models. The document will also include an identification and clarification of IPRs in the context of transparent models, and a plan for the management of those IPRs (month 12)
D2.1 Observed trends and modelling paradigms2.1 Observed trends and modelling paradigms. This will review the theory and modelling trends underlying the particular module (month 9).
D9.10 Sustainability plan910 Sustainability plan This will outline the governance structure the operational management structure the dissemination communication strategy and the funding sources for the SENTINEL platform and annual conference series beyond the end of the project
D4.1 Observed trends and modelling paradigmsObserved trends and modelling paradigms. This will review the theory and modelling trends underlying the particular module (month 9).
D3.1 Observed trends and modelling paradigms3.1 Observed trends and modelling paradigms. This will review the theory and modelling trends underlying the particular module (month 9).
D5.1 Observed trends and modelling paradigmsObserved trends and modelling paradigms. This will review the theory and modelling trends underlying the particular module (month 9).
D1.2 User needs for an energy system modelling platform for the European energy transitionUser needs for an energy system modelling platform for the European energy transition. This will set out the key user needs identified through the stakeholder outreach activities early in the project, and identify the decision-making contexts where SENTINEL results are potentially to be exploited, as input for WP9 (month 14).
D7.2 Model application in the case studies: challenges and lessons learned72 Model application in the case studies challenges and lessons learned This deliverable will consist of a detailed report on the application of the SENTINEL framework to each of the case studies It will include details on input data model linkages employed key results and any critical challenges observed in the platform implementation month 36
D10.2 Detailed project management plan10.2 Detailed project management plan. This will include a schedule per task, responsible partner-related subtasks, and dependencies on other tasks, as well as a Gantt chart and work breakdown structure. (month 2). Note: there will be two revisions to this document during the course of the project: one just before the end of the first reporting period, and one just before the end of the second reporting period. The deliverable will be accordingly updated.
D10.3 Report on external collaboration103 Report on collaboration with other EU and national project This will briefly describe the external collaboration month 42
D2.5 Integration of socio-technological transition constraints into energy demand and systems models25Integration of sociotechnological transition constraints into energy demand and systems models The deliverable will be a report describing the model linkages month 28
D3.2 Model development to match energy demand models to user needsModel development to match energy demand models to user needs The deliverable itself will be a report describing modifications to each of the models in the module month 21
D2.4 Model development to match socio-technical transition constraints models to user needs24Model development to match sociotechnical transition constraints models to user needs The deliverable itself will be a report describing modifications to each of the models in the module month 21
D7.3 User-oriented evaluation73 Useroriented evaluation This will report on the strengths weaknesses and limitations of the SENTINEL framework as applied to each of the case studies A key feature will be the detailed analysis of stakeholder feedback on the case study exercises including in particular the usefulness of the model results for their decisionmaking challenges and recommendations for improved integration of model components month 40
D10.1 Internal project communication plan10.1 Internal project communication plan. This will set out the precise details of the media to be used in the project for internal communication (month 1)
D5.3 Integration of market and economic model results into transition and energy demand models53 Integration of market and economic model results into transition and energy demand models The deliverable will be a report describing the model linkages month 28
D1.1 Megatrends in the use of energy modelling results for policy- andMegatrends in the use of energy modelling results for policy- and decision-making. This will review how the use of energy models has changed over time, and connect different modelling frameworks and paradigms to particular decision-making issues (month 8).
6.1 Model and data interfaces. This deliverable will consist of a modelling framework, and be supplemented with complete documentation describing its structure, functionality, and operation (month 12).
D6.2 Tracing uncertainty cascades6.2 Tracing uncertainty cascades. This deliverable will consist of a modelling framework, and be supplemented with complete documentation describing its structure, functionality, and operation (month 24).
D2.3 QTDIAN model2.3QTDIAN model. This will be the complete module, including a draft version of supporting documentation (month 21).
D8.2 Model comparison database8.2 Model comparison database. This will be a database of the key results from applying the SENTINEL framework to the intercomparison study. It will include not only final results, but also intermediate data generated by sub-models, which are then fed into the other models. (month 28).
D2.2 ENVIRO model2.2ENVRO model. This will be the complete module, including a draft version of supporting documentation (month 18).
9.6 SENTINEL online platform. This will include the functionality of being able to operate models on the platform, and include the linkage protocols (month 18).
D9.7 Deployment of e-learning materials on SENTINEL platform97 Deployment of elearning materials on SENTINEL platform These will be a number of online tutorials for utilizing and expanding on the SENTINEL framework month 24
D9.1 Project website9.1 Project website. This will be the placeholder for the SENTINEL platform, containing the project logo and brief project description (month 1)
9.3 Data management plan. This is a required element of the project, and will set forth the protocols for managing data not only collected in the project, but also those data generated by the models as part of the case studies and intercomparison. It will also include the anonymysation/pseudonymisation techniques that will be followed in the project (month 6)
Publications
Auteurs:
Wohland, Jan; id_orcid0000-0001-8336-0009; Brayshaw, David; Pfenninger, Stefan; id_orcid0000-0002-8420-9498
Publié dans:
Environmental Research Letters, 16 (6), Numéro 20, 2021, ISSN 1748-9326
Éditeur:
Institute of Physics Publishing
DOI:
10.3929/ethz-b-000492844
Auteurs:
M. Roelsfema, H. L. van Soest, M. del Enzen, H. de Coninck, T. Kuramochi, M. Harmsen, I. Dafnomilis, N. Höhne, D. P. van Vuuren
Publié dans:
Environmental Science and Policy, 2022, ISSN 1462-9011
Éditeur:
Elsevier BV
DOI:
10.1016/j.envsci.2022.05.001
Auteurs:
D. Tzani, V. Stavrakas, M. Santini, S. Thomas, J. Rosenow, A. Flamos
Publié dans:
Renewable and Sustainable Energy Reviews, 2022, ISSN 1364-0321
Éditeur:
Elsevier BV
DOI:
10.1016/j.rser.2022.112162
Auteurs:
Miguel Chang; Jakob Zink Thellufsen; Behnam Zakeri; Behnam Zakeri; Bryn Pickering; Stefan Pfenninger; Henrik Lund; Poul Alberg Østergaard
Publié dans:
Chang , M , Thellufsen , J Z , Zakeri , B , Pickering , B , Pfenninger , S , Lund , H & Østergaard , P A 2021 , ' Trends in tools and approaches for modelling the energy transition ' , Applied Energy , vol. 290 , 116731 . https://doi.org/10.1016/j.apenergy.2021.116731, Numéro 8, 2021, ISSN 0306-2619
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.apenergy.2021.116731
Auteurs:
D. Süsser, A. Ceglarz, H. Gaschnig, V. Stavrakas, A. Flamos, G. Giannakidis, J. Lilliestam
Publié dans:
Energy Research and Social Science, 2021, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2021.101984
Auteurs:
Henrik Lund; Jakob Zinck Thellufsen; Poul Alberg Østergaard; Peter Sorknæs; Iva Ridjan Skov; Brian Vad Mathiesen
Publié dans:
Smart Energy, Numéro 6, 2021, ISSN 2666-9552
Éditeur:
Elsevier
DOI:
10.1016/j.segy.2021.100007
Auteurs:
A. Bricoult, R. Slade, I. Staffell, K. Halttunen
Publié dans:
Energy Research and Social Science, 2022, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2022.102634
Auteurs:
R. Quitzow, G. Bersalli, L. Eicke, J. Joschka, J. Lilliestam, F. Lira, A. Marian, D. Süsser, S. Thapar, S. Weko, S. Williams, B. Xue
Publié dans:
Energy Research and Social Science, 2021, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2021.101981
Auteurs:
Krista Halttunen; Raphael Slade; Iain Staffell
Publié dans:
Energy Research and Social Science, Numéro 12, 2021, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2021.102407
Auteurs:
Diana Süsser; Nick Martin; Vassilis Stavrakas; Hannes Gaschnig; Laura Talens-Peiró; Alexandros Flamos; Cristina Madrid-López; Johan Lilliestam
Publié dans:
Energy Research and Social Science, Numéro 23, 2022, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2022.102775
Auteurs:
A. Nikas, A. Gambhir, E. Trutnevyte, K. Koasidis, H. Lund, J.Z. Thellufsen, D. Mayer, G. Zachmann, L.J. Miguel, N. Ferreras-Alonso, I. Sognnaes, G.P. Peters, E. Colombo, M. Howells, A. Hawkes, M. van den Broek, D.J. Van de Ven, M. Gonzalez-Eguino, A. Flamos, H. Doukas
Publié dans:
Energy, Numéro 215, 2021, Page(s) 119153, ISSN 0360-5442
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.energy.2020.119153
Auteurs:
Diana Süsser; Hannes Gaschnig; Andrzej Ceglarz; Vassilis Stavrakas; Alexandros Flamos; Johan Lilliestam
Publié dans:
Energy, Numéro 23, 2021, ISSN 0360-5442
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.energy.2021.121909
Auteurs:
A. Krumm, D. Süsser, P. Blechinger
Publié dans:
Energy, 2021, ISSN 0360-5442
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.energy.2021.121706
Auteurs:
Süsser, Diana; Ceglarz, Andrzej; Stavrakas, Vassilis; Lilliestam, Johan
Publié dans:
Open Research Europe, Numéro 22, 2021, ISSN 2732-5121
Éditeur:
Open Research Europe
DOI:
10.12688/openreseurope.13683.1
Auteurs:
Bryn Pickering; Francesco Lombardi; Stefan Pfenninger
Publié dans:
VOLUME=6;ISSUE=6;ISSN=2542-4351;TITLE=Joule, Numéro 9, 2022, ISSN 2542-4351
Éditeur:
Elsevier
DOI:
10.1016/j.joule.2022.05.009
Auteurs:
Chatterjee, S, Stavrakas, V, Oreggioni, G, Susser, D, Staffell,I, Liliestam, J, Molnar, G, Flamos, A, Urge-Vorsatz,D
Publié dans:
Energy Research and Social Science, 2022, ISSN 2214-6296
Éditeur:
Elsevier Limited
DOI:
10.1016/j.erss.2022.102662
Auteurs:
Andrzej Ceglarz; Amanda Schibline
Publié dans:
Numéro 1, 2022
Éditeur:
Zenodo
DOI:
10.5281/zenodo.7197737
Auteurs:
Tröndle, T., Süsser, D., Lilliestam, J.
Publié dans:
2019
Éditeur:
IASS, Potsdam
DOI:
10.2312/iass.2019.052
Auteurs:
Nikos Kleanthis; Vassilis Stavrakas; Amanda Schibline; Andrzej Ceglarz; Diana Süsser; Serafeim Michas; Alexandros Flamos
Publié dans:
Numéro 16, 2022
Éditeur:
UPRC RGI
DOI:
10.5281/zenodo.7299571
Auteurs:
Diana Süsser; Bryn Pickering; Ludwig Hülk; Stefan Pfenninger
Publié dans:
F1000Research, Numéro 5, 2022
Éditeur:
F1000 Research
DOI:
10.12688/f1000research.121619.1
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