D6.5 Plan for results exploitation

This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains HORIZON EUROPE PROGRAMME – TOPIC HORIZON-CL5-2021-D3-03-05 Wind energy in the natural and social environment Research and Innovation action (RIA) WIMBY Wind in My Backyard: Using holistic modelling tools to advance social awareness and engagement on large wind power installations in the EU Grant Agreement No. 101083460 Starting date: 1st January 2023 – Duration: 36 months Deliverable D6.5 Plan for results exploitation Ref. Ares(2024)2359530 - 29/03/2024 WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 2 of 58 DOCUMENT INFORMATION Deliverable number D6.5 Deliverable title Plan for results exploitation Work Package WP6 Deliverable type Report Dissemination level Public Due date 31.03.2024 (Month 15) Pages 58 Document version 2.1 Lead author(s) Marta Cecconi (DBL), Rebecca Hueting (DBL) Contributors All partners The WIMBY project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 3 of 58 DOCUMENT CHANGE HISTORY Version Date Author Description DRAFT 0.1 23.02.2024 Marta Cecconi (DBL) Creation and integration of partners’ input collected during workshops and via shared templates. 0.2 18.03.2024 Marta Cecconi (DBL), Rebecca Hueting (DBL) Consolidation of input from contributors FIRST PEER REVIEW 1.0 20.03.2024 Marta Cecconi (DBL), Rebecca Hueting (DBL) Proofreading and peer review 1.1 27.03.2024 Eva Schöll (BOKU), Dominik Huber (VUB), Thomas Schauppenlehner (BOKU), Shary Heuninckx (VUB), Andrea Hahmann (DTU), James Price (UCL), Lien Bakelants (NAZKA), Adrienne Etard (IIASA), Salvatrice Vizzini (UNIPA) , Luis Ramirez Camargo (UU) Consolidation of input from reviewers FINAL VERSION 2.0 28.03.2024 Marta Cecconi (DBL), Rebecca Hueting (DBL) Final version ready for coordinator review 2.1 29.03.2024 Shary Heuninckx (VUB) Format review, version ready for final submission WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 4 of 58 SHORT ABSTRACT FOR DISSEMINATION PURPOSES Abstract This document outlines the strategy for the exploitation of WIMBY’s results. It presents the strategy towards optimising the project's influence and commercial viability. It unveils a roadmap enlisting key elements, incorporating strategic activities and a methodical approach to formulate a comprehensive exploitation plan, aligning with both the project and partners' requisites. The document outlines the main aspects that will be taken into consideration for exploitation. Regular updates will be made accord ing to the project's advancements and the evolving needs of Consortium members. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 5 of 58 TABLE OF CONTENTS LIST OF FIGURES ....................................................................................................... 8 1. PROJECT RESULTS AND POSITIONING ......................................................... 10 1.1 Key Exploitable Results (KERs) ............................................................ 10 1.2 Main actors in the field ......................................................................... 18 2. STAKEHOLDER GROUPS ANALYSIS ............................................................... 26 2.1 Target stakeholders .............................................................................. 26 2.2 Stakeholders’ relevance analysis ...................................................... 27 3. BARRIERS AND DRIVERS ................................................................................ 28 3.1 PESTEL analysis ...................................................................................... 28 3.2 SWOT analysis ........................................................................................ 34 3.3 Barriers to dissemination and exploitation ..................................... 37 4. EXPLOITATION STRATEGY ............................................................................. 39 4.1 Strategy for knowledge management and protection .................. 39 4.2 Individual exploitation plans ............................................................. 40 5. EXPLOITATION PLAN TIMELINE ......................................................................56 5.1 Initial project phase (M01-M15) ..........................................................56 5.2 Core project phase (M15-M24) ...........................................................56 5.3 Final project phase (M25-M36) .......................................................... 57 6. EC EXPLOITATION SERVICES ......................................................................... 57 7. CONCLUSIONS ................................................................................................ 57 WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 6 of 58 LIST OF PARTNERS N o Logo Name Short Name Country 1 VRIJE UNIVERSITEIT BRUSSEL (PROJECT COORDINATOR) VUB Belgium 2 DANMARKS TEKNISKE UNIVERSITET DTU Denmark 3 INTERNATIONALES INSTITUT FÜR ANGEWANDTE SYSTEMANALYSE IIASA Austria 4 UNIVERSITÄT FÜR BODENKULTUR WIEN BOKU Austria 5 UNIVERSITETET I OSLO UiO Norway 6 NAZKA MAPPS BVBA NAZKA Belgium 7 KELSO INSTITUTE EUROPE GEMEINNÜTZIGE GMBH KIE Germany 8 DEEP BLUE SRL DEEP BLUE Italy 9 UNIVERSITEIT UTRECHT UU Netherlands 10 POLITECNICO DI TORINO POLITO Italy 11 UNIVERSITÀ DEGLI STUDI DI PALERMO UNIPA Italy 12 APREN-ASSOCIAÇÃO PORTUGUESA DE ENERGIAS RENOVAVEIS APREN Portugal 13 MULTICONSULT NORGE AS MCN Norway 14 EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZÜRICH ETH Zürich Switzerland 15 PAUL SCHERRER INSTITUT PSI Switzerland 16 UNIVERSITY COLLEGE LONDON UCL United Kingdom WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 7 of 58 ABBREVIATIONS Acronym Description CC BY-NC 4.0 Creative commons license CLCA Consequential life cycle assessment EOL End of life EU European Union GPL General Public License HRB Horizon Results Booster HRP Horizon Results Platform IPR Intellectual property rights KER Key Exploitable Results kWh Kilowatt per hour LCA Life cycle assessment MIT Permissive free software license originated by Massachusetts Institute of Technology MPL Multi Pilot License NCP National Contact Points NEWA New European Wind Atlas NGO Non-governmental organisation PESTEL analysis Political, Economic, Societal, Technological, Environmental, Legal analysis SOA State of the art SUMP Sustainable Urban Mobility Plan SWOT Strengths, Weaknesses, Opportunities, Threats analysis TRL Technology Readiness Level UI User interface WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 8 of 58 LIST OF FIGURES Figure 1 - Exploitation flow chart .................................................................................................. 10 Figure 2 - Influence vs Interest analysis ................................................................................ 28 Figure 3 - Graphic representation of the SWOT Analysis .......................................... 35 LIST OF TABLES Table 1 - Project KERs ............................................................................................................................ 10 Table 2 - Consortium KERs ................................................................................................................ 12 Table 3 - Closest competitors in the field and differences with them ............. 18 Table 4 - Stakeholders' groups identification ................................................................... 26 Table 5 - PESTEL Analysis .................................................................................................................. 29 Table 6 - SWOT analysis ................................................................................................................... 35 Table 7 - Barriers to dissemination and exploitation of stakeholders .............. 37 Table 8 - Partners individual exploitation plans ............................................................... 41 WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 9 of 58 EXECUTIVE SUMMARY D6.5 – The Plan for results exploitation delineates and elaborates on the exploitable assets within the WIMBY project, outlining a strategy for exploitation that complements communication and dissemination activities. Specifically, this document provides a more detailed description of the Key Exploitable Results (KERs) of the WIMBY project, sourced from the project’s results outlined in the Grant Agreement and from the respective KER owners. At this project stage, the deliverable provides a preliminary framework for potential future utilization. Within this document, the most pertinent end-users and their level of interest and influence on future uptake and impact are outlined. Comprehensive insights derived from the PESTEL drivers and barriers, and SWOT analyses conducted on the various Key Exploitable Results (KERs) are presented. This strategic approach aims to navigate the intricate landscape of project outcomes, ensuring an impactful exploitation plan aligned with the project and partners’ requirements. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 16 of 58 3) financing resources in the wind energy industry KER32 Dataset Analysing misperceptions in the wind energy sector spread on Twitter (X) and news A data set containing tweets, headlines, and full-text news regarding wind energy in Germany, Austria, Ireland, Italy, France, Norway, Denmark, and Switzerland from 2010 to 2022 with the goal of conducting different text analyses. KER33 Scientific publication (peerreviewed) Planning highly renewable netzero electricity systems for Europe: the trade-offs between social, environmental and energy systems A study focusing on the planning of future European electricity systems that account for, and trade-off, the social and environmental impacts of wind power. KER34 Software Shadow flicker calculator Software package (.conda) containing system-level libraries and other components needed to calculate shadow flicker of individual wind turbines and parks for worst case and realistic cases. KER35 Scientific publication (Refereed) Shadow flicker model description Shadow flicker model description and methodology. KER36 Taxonomy Taxonomy of wind power impacts Taxonomy of the types of impacts from wind power coming from surveys KER37 Software WIMBY - Job creation model Software package (.conda) to estimate job creation of individual wind parks. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 17 of 58 KER38 Scientific publication (Refereed) Job creation review and model Job-creation model description, methodology and review. KER39 Framework/ software 3D Environment toolset and interactive planning tool A codebase (published on git) to process comprehensive geodata to generate a geopackage for immersive visualisations at the case study level to support collaborative wind park planning processes. Recommendations and methods for geodata enhancement and processing to utilize large-scale geodata for realistic 3D models. Contributions to new digital approaches for game-based planning and collaboration. KER40 Software Region-specific wind power plant LCOE model Software package (.conda) to estimate a region-specific LCOE model. KER41 Dataset and Scientific publication (Refereed) Updates to New European Wind Atlas model Data set containing up to date (including extra years 20192023) wind resource estimates and time series for all Europe. The data set will also include a new improved microscale downscaling including new geo datasets and the effects of atmospheric stability. KER42 Software Updates to TOPFARM New models (e.g. shadow flicker model and LCOE model) integrated into the public distribution of TOPFARM. KER43 Scientific publication Interactive modelling Understanding the stakeholder insights obtained WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 18 of 58 (peerreviewed) results in pilot site from the interactive modelling in the pilot site Rogaland. 1.2 Main actors in the field Table 3 lists the closest existing related or competing actors/tools in the field that have been identified for the various KERs, as well as what sets them apart from what is envisioned in the WIMBY project. KERs for which a competitor does not exist or has not been identified yet have been left out of this table. Table 3 - Closest competitors in the field and differences with them Id KER name Closest competing/ related actors Differentiator KER 8 WIMBY map code • Code of New European Wind Atlas • Integrated wind farm simulation tool • Impacts and exclusion zones KER 9 WIMBY map prototype • Low fidelity prototype of WIMBY map • Interactive highfidelity prototype KER 10 Updates to Nazka Mapframe • Mapping libraries like Mapbox, Leaflet, Maptiler, Maplibre • Open Layers • Framework around the map • Embed version KER 11 WINDISCH v2.0 ● Prospective life cycle assessment ● Open-source method to calculate life cycle inventories for any wind turbine at a given location ● Sister projects: JustWind4All (UAB), WENDY Extension of Wind_LCA_DK (a wellknown tool for evaluation of climate change impact of the Danish wind fleet) to a European level/conversion into a prospective life cycle assessment tool for wind turbines WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 19 of 58 ● Other research on LCA of wind turbines KER 12 Correlation material/ rated power ● Correlation based on published life cycle inventories of life cycle assessment studies about wind turbines ● Universitat Autònoma de Barcelona ● Other researchers interested in the material composition of wind turbines Especially the correlations can be helpful for (LCA) scientists interested in the material composition of wind turbines. KER 13 Consequenti al life cycle assessment ● Researcher interested in national evaluation of energy systems ● Consequential life cycle assessment of an EU energy system with high wind penetration ● Aalborg University, Department of Sustainability and Planning No such evaluation has been done before on such a large scale. KER 14 EOL scenarios for wind turbines ● Fraunhofer (Germany) ● DTU, etc ● Different scenarios for endMapping different, potential futures of EoL of wind turbines is still linked to a lot of uncertainties. Presenting possible WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 20 of 58 of-life treatment of wind turbines ● University of Pforzheim ● Policymakers ● Turbine manufacturer ● Turbine commissionaires scenarios summarizes current discussions and could serve as a guidance for researchers. KER 15 Landscape quality ● Wind park developers, at the stage of selecting the future wind park location ● Policymakers ● Research groups working on the micro-level energy systems analysis ● No such analysis was done on such a large scale ● The data (the results of the study) will be publicly available KER 19 Augmented highRESEurope Other high resolution electricity system modelling teams Our collaboration, as part of WIMBY, with a broad range of researchers gives us access to highly novel data on the impacts of wind power across multiple areas, e.g. birds and bats, noise, landscape visual impact. KER 21 Wind farms safety and health risk assessment methodology Standard s afety and health risk impact assessment methodologies (e.g. OSHA, ISO 45001) Integrate site-specific variables for risks KER 22 Social Acceptance Framework Other social acceptance frameworks are not Social acceptance framework covering endusers’ propensity towards wind turbines in their WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 21 of 58 focused on wind power or renewable energies. vicinities, supported by interactive maps and 3D environment as informed decision-making tools. KER 23 General Forum code and user interface Energyfocused online discussion fora and citizens’ feedback platforms (e.g. for SUMPs and urban planning) Direct integration with informative map layers; high usability and intuitive UI. KER 24 Communicat ion and disseminatio n skills Other organisations offering communication and dissemination support to research Consortia. Usercentred and multidisciplinary approach focused on targeted stakeholders; expert team with background knowledge about the European energy, climate adaptation and socioeconomic context. KER 30 Regulation on wind turbine siting in 10 EU MS (up to NUTS2) Wind park developers, as they must collect the data for their projects (e.g. Vattenfall, Orsted) • the data will cover at least 10 EU MS (as of now, data is usually scattered) • the data will be publicly available (as of now, most datasets are not publicly available) • users will be able to use it in an interactive map which makes it appealing to “play” with it (as of now, the data has not been used in such an interactive way) WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 22 of 58 • the dataset provides links to the national websites (as of now, most datasets are missing links to the source which makes it difficult to check whether the data still is up to date) KER 31 Policy review of wind energy regulation in AT, IT, PT and NO • research institutes working in the field of renewable energy • wind park operators who depend on the data as well • the policy report will be public; • the analysis also includes justice elements (e.g. role of citizens in permitting procedures + other measures to raise acceptance vis-àvis wind energy, such as financial participation) KER 32 Analysing misperceptio ns in the wind energy sector spread on Twitter (X) and news Similar research has been conducted using text analysis to investigate wind energy, both utilizing newspaper materials and social media data. Some examples include: - DehlerHolland, J., Okoh, M., & Keles, D. (2022). Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power Previous research has been limited to specific locations or short time periods. Our database encompasses an extensive time frame and various locations, including a much larger sample than has been previously studied by any research. The database enables comparisons between different periods and countries regarding the topics of misperception and, due to WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 23 of 58 in Germany. In Technological Forecasting and Social Change (Vol. 175, p. 121354). - Jeong, D., Hwang, S., Kim, J., Yu, H., & Park, E. (2023). Public perspective on renewable and other energy resources: Evidence from social media big data and sentiment analysis. In Energy Strategy Reviews (Vol. 50, p. 101243). its scope and comparability, allows for much more robust analyses and a range of possibilities such as sentiment analysis, text frequency analysis, topic modelling , and other text analysis methodologies. The way the data was collected makes the content easily manipulable and usable, being readily accessible to researchers who were not involved in the initial data collection process. KER 33 Planning highly renewable net-zero electricity systems for Europe: the trade-offs between social, environment al and energy systems Other electricity system modelling teams working across Europe As for KER19, we have access to novel data on a range of wind power impacts giving us a competitive edge. KER 34 Shadow flicker calculator WINDPRO is the standard in the industry. Very little information is available about their model, their implementation or their validation. The software is open source, and the explanation and code are fully available for any other person/user. Validation is limited since only cross-validation with WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 24 of 58 WINDPRO is feasible when taking into consideration the resources available. KER 35 Shadow flicker model description WINDPRO is the standard in the industry. Very little information is available about their model, their implementation or their validation. The software is open source, and the explanation and code are fully available for any other person/user. Validation is limited since only cross-validation with WINDPRO is feasible when taking into consideration the resources available. KER 36 Taxonomy of wind power impacts Probably does not exist yet. If there were something comparable there would be no point in creating one. Rather bottom up, it has been created from scientific literature but also surveying nonscientists in multiple countries. KER 37 WIMBY - Job creation model A model presented in grey literature, “calculating global energy sector jobs: 2015 methodology update” from Rutovitz et al. 2015. WIMBY builds up on their work, the data are more up to date, and this specific development is for the individual wind park level. KER 38 Job creation review and model A model presented in grey literature, “calculating global energy sector jobs: 2015 methodology update” from Rutovitz et al. 2015. WIMBY builds up on their work, the data are more up to date, and this specific development is for the individual wind park level. KER 39 3D Environment toolset and interactive planning tool Commercial Wind Park planning software Planning offices Energy providers • Using open data and software enables collaborative development and utilisation of the 3D environment. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 25 of 58 • Serious game elements allow the involvement of a broad range of stakeholders and actors • Suitable for educational purposes KER 40 Regionspecific wind power plant LCOE model Many competitors exist, but many are not geographically dependent or deal with offshore wind farms. The new LCOE model will be applicable to land and offshore, using up-to-date parameters and be geographically explicit. KER 41 Updates to the New European Wind Atlas model Wind resource maps and time series are available from Copernicus and other pay companies (e.g., Vortex or EMD). In WIMBY, the datasets will already be integrated into the wind farm calculation. This is a clear advantage for the public and small wind developers who don't have the funds to buy commercial products. Also, there is full transparency of how the product is created and what the underlying errors are. KER 42 Updates to TOPFARM Competitors exist (e.g., WINDPRO and WindFarmer). The TOPFARM software is open source and much faster than GUI-based commercial counterparts. KER 43 Interactive modelling results in the pilot site Not been identified yet. Not been identified yet. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 32 of 58 about layered maps by the general public thanks to route planning and weather forecast services. • Increased use of VR for educational purposes • VR can be a barrier to certain groups (fear, isolation) • Let them elaborate siting options themselves • Community in the leap siting tool > an aesthetic model (the 3D tool) • Automatic collection of community feedback or let them decide in the first place Environmental • How does the implementation of WIMBY contribute to reducing the NIMBY effect and contribute to the EU decarbonisation goal? • What are the potential environmental risks and challenges associated with the introduction of WIMBY results? Drivers Challenges Actions • Showing that wind park operators care about nature and people will help to build trust and increase acceptance - we shall ensure all audiences, especially local communities, take up this message • Potential increase of biodiversity/safe corridors/areas/no hunt/no predators on some species provided by wind turbine developments, • Low understanding of actual visual impacts / Understanding visual impact • Low understanding of multilayered/complex impacts and the need to consider tradeoffs (since 0 impact is not possible if we want renewable energy) • Results might be too general and not region specific • Better community engagement • Taking consideration of concerns of local communities • Show important ecological areas in forests will help reducing the NIMBY effect • Show visual impacts will help reducing the NIMBY effect • Low understanding of how environmental impacts are measured/assessed and mitigated WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 33 of 58 both onshore and offshore • Increase scientific understanding of environmental impact • Show environmental tradeoffs between options • Stakeholder engagement • Showcase positive biodiversity impacts beyond decarbonisation Legal • What are the existing legal frameworks and regulations ruling over the wind energy field? • Are there political regulations and policies that need to be addressed or modified to accommodate the introduction and implementation of WIMBY results? • How can legal mechanisms take advantage to foster collaboration among different stakeholders within the wind power field and more widely in the green energy ecosystem? Drivers Challenges Actions • Environmental impact assessment process • AcceleRES - RepowerEU - REC directives • Habitat directive, binds directives, biodiversity conventions, NECP’s • Heterogeneity across countries in Europe - difference included within WIMBY • Mandate common data standards • Planning and permitting are high-priority issues and needs reforming • Every update to targets in EU • Mandate at least an open data for specific subsets (when evaluating investments) • WIMBY will provide recommendations (WP4 - 4.3) • Acknowledge / facilitate developers who inquiry local communities before decisions are taken • Acknowledge citizens who WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 34 of 58 countries would speed it up • Legal obligations promote bottom-up wind development in specific (feasible) area 3.2 SWOT analysis A SWOT analysis is a useful tool in dissecting the internal strengths and weaknesses, as well as external opportunities and threats that shape the landscape for WIMBY's endeavours. This strategic assessment enables a nuanced understanding of the project's intrinsic capabilities and limitations. Internally, strengths highlight competitive advantages, such as innovative methodologies and cross-disciplinary expertise within the consortium. Identifying weaknesses offers an opportunity for targeted improvements, ensuring a more robust approach to project goals. Externally, opportunities encompass avenues for growth and collaboration, such as potential partnerships or emerging trends in renewable energy acceptance. Threats, on the other hand, signal potential challenges that demand proactive mitigation strategies especially related to the complexity in the adoption of delivered results by certain user categories (e.g. low-digital skills users and interested users not familiar with GIS tools in the legal and regulatory domain). In the context of WIMBY, conducting a SWOT analysis becomes instrumental in crafting an exploitation strategy that leverages internal strengths, mitigates weaknesses, seizes external opportunities, and safeguards against potential threats, ultimately optimising the project’s impact and sustainability in the short, medium, and long term. In Figure 3, we see the graphical representation of the SWOT analysis conducted collaboratively with the consortium using an online board. Each partner contributed their insights via digital sticky notes, and through the dot voting activity, the consortium identified the key aspects to prioritise. Conversely, Table 6 provides a textual summary of the board's contents. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 35 of 58 Figure 3 - Graphic representation of the SWOT Analysis Table 6 - SWOT analysis Strengths Weaknesses KER1: It is the first time this (web-GIS and coupled models) has been done at a European level; European scale climate change impacts; Future/prospective environmental impacts; Reproducibility; potential increase of biodiversity/safe corridors/areas/no hunt/no predators on some species provided by wind turbine developments, both onshore and offshore. KER2: It tries to help identify the social benefits in comparison to other energy sources and quickly compare with other aspects/impacts; showing that KER1: Theoretical model depending on a lot of assumptions; Potential oversimplification of the results to make it more accessible to the general audience ; Low understanding of how environmental impacts are measured/assessed and mitigated. KER2: A more general assessment might not represent the local perspectives. KER3: The restrictions/conditions behind might not be clear to the stakeholders. KER4: Lack of specific datasets for this purpose. Results might not be taken seriously. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 36 of 58 wind park operators care about nature and people will help build trust and increase acceptance. KER3: Useful tool for stakeholders' discussion and decision-making. KER4: Has its contribution to research methodology/ tool in the wind energy field. KER5: All the information in one place and on a map; Overview of limitations to the deployment of wind energy. KER6: Very detailed representation of the pilots. KER7: True multidisciplinary approach to develop, test, and validate. KER5: Level of complexity for different user types; Positive impacts and comparison with other options for energy production might not be visible/intuitive enough; Low digital skills related to Digital tools; language barriers. KER6: Very adaptable to different physical contexts , but not too attractive user interface (low usability for non-experts) ; Low understanding of actual visual impacts. KER7: Data format storage and alignment ; Slow data access while bringing together tools and data; Opportunities Threats KER1: Good & transparent documentation of calculation and assumptions; High acceptance of models due to discussion of results with stakeholders, and access to additional data. KER2: An opportunity to work with stakeholders to improve our social impact assessment. KER3: Excellent tool for classroom education in both physical and social dimensions (and their combination). KER4: Offer a best practice example on modelling transparency for the wind industry; Economic incentive: cost reduction. KER5: Share right and objective information with a large audience; KER1: Misinterpretation of (simplified) results. KER2: Difficulty in keeping it up to date (no open data related to social impacts) and interactive might result in low "usefulness" especially for the most interested stakeholders looking for such data (e.g. wind engineers working for developers searching for up-to-date data); misuse of info to undermine or block projects. KER3: Misuse the assessing results; Heterogeneity across countries in Europe in terms of regulation and standards KER4: Complexity if not explained might result in low comprehension of the potential. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 37 of 58 Automated access to a curated set of data. KER6: Trend: coownership, energy communities, citizen participation in energy and infrastructure planning; Investment trend in green solutions and renewable energy. KER7: High EU implications through the Commission’s development plans for wind power. KER5: Sustainability and support after the project; ability to work with many requests/high numbers of users at the same time. KER6: Low integration with the WIMBY map (both the software and some features) and low visibility of its potential might hamper its adoption/uptake; Tech is seen as a barrier to certain groups (e.g. VR). KER7: the risk that some companies will take WIMBY’s datasets/scripts and commercialize them. 3.3 Barriers to dissemination and exploitation In the pursuit of effective communication and dissemination strategies within the WIMBY initiative, understanding the unique challenges and opportunities presented by diverse target groups is needed. Table 7 delves into the barriers and mitigation strategies associated with the three defined stakeholder groups. Recognising the intricacies of each stakeholder group allows WIMBY to tailor outreach efforts and optimize the conveyance of the project’s insights. From bridging knowledge gaps to addressing concerns over complex jargon, the analysis presented in the table shows how we plan to navigate these hurdles, ensuring that the communication, dissemination, and exploitation strategies are effective across varied stakeholders. Table 7 - Barriers to dissemination and exploitation of stakeholders Stakeholder group Description Barriers and mitigations Education Targeting educational institutions and students is crucial for fostering awareness and understanding of wind energy, contributing to future sustainable practices. Barriers: Limited access to specialised wind energy educational resources, insufficient integration of practical aspects in curricula, low subject knowledge, digitalisation limitations, and difficulties in WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 38 of 58 understanding technical information. Mitigation: Develop tailored educational materials, collaborate with institutions, offer handson learning experiences, provide a first impression of wind energy. WIMBY could serve as a tool for teaching with an easy-touse interface for easy understanding of complex topics. Specialised users Reaching professionals, researchers, and policymakers is essential for validating WIMBY tools, obtaining expert feedback, and ensuring practical applicability and impact in the field. Barriers: Technical complexities, resistance to change in established practices, and potential conflicts in integrating WIMBY tools. Mitigation: Offer comprehensive training, demonstrate the practical value of WIMBY tools, and establish collaborative platforms for knowledge exchange. Interested audience Engaging the general public creates a broad network for information dissemination, building support, involving diverse perspectives in wind energy discussions, and opportunities to stimulate a bottom-up Barriers: Information overload, scepticism, lack of awareness about wind energy benefits, NIMBY effect, difficulty in recognising wind industry jargon, challenges in understanding WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 39 of 58 approach to wind farm projects (neighbours/energy communities that team up to start a wind project). information in daily life terms. Mitigation: Implement targeted communication strategies, provide clear and concise information, and showcase positive examples of wind energy projects, offer unbiased and trustworthy information, ensure easy comprehension of the impacts of specific wind projects, and deliver information that would otherwise be costly to obtain. With clear and transparent communication, the interested public can understand how to benefit from wind energy projects and use the knowledge gained as a fact checking tool. 4. EXPLOITATION STRATEGY 4.1 Strategy for knowledge management and protection Any details concerning the access rights to background and foreground IP are defined in the Consortium Agreement signed by all the partners in the consortium. Partners will only use the products, information, source code, or other protected items owned by another partner in the WIMBY project when the licensing conditions have been clearly communicated by the holder. The holistic approach of the project is reflected in the multitude of data that are required and that are generated throughout the project. These data are key for the tools and assessments to be developed in WIMBY as well as for the dissemination strategy and the project's expected impact. WIMBY strives to WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 40 of 58 make data and other outputs open while following FAIR principles and INSPIRE guidelines. Specific details and arrangements on the exchange and use of data within the WIMBY project are presented in deliverable D7.3 - Data management plan. ● IP Ownership: Foreground IP shall be owned by the project partner carrying out the work leading to such Foreground IP. The General Assembly will coordinate patent issues: if any Foreground IP is created jointly by at least two project partners and it is not possible to distinguish between the contributions of each of the project partners, such work will be jointly owned by the contributing project partners. ● Confidentiality: Information from other partners will be treated as confidential unless public. ● Ownership of Knowledge: Knowledge is owned by the partners who carried out the work generating it or on whose behalf such work was carried out. If a partner wishes to assign any knowledge to a third party, it should inform the other partners and request their consent, which should not unreasonably be withheld. ● Access Rights: The Consortium will pay specific attention to IPR of the exploitation of the project results. The partners will reach a full agreement, complementing the EC contract, on pre-existing intellectual property rights excluded from WIMBY and user licences in this agreement. The agreement will detail rights to exploit project results for commercial purposes; each partner will, however, maintain the right to use the project outcome for internal use. During the lifetime of WIMBY, the implementation of these IPR principles will comprise the following main tasks: a) Updating of foreground knowledge, b) Management of the WIMBY knowledge portfolio, c) Knowledge projection, d) Joint Exploitation Agreement maintenance and evolution. 4.2 Individual exploitation plans Completing an individual exploitation plan, as presented in Table 8, is essential for each partner for several reasons. First and foremost, it serves as a strategic roadmap for the partner, outlining how they intend to leverage WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 41 of 58 and capitalise on the KERs generated within the project. The individual exploitation plan provides a structured framework for partners to articulate their specific goals, target audience, and intended outcomes, fostering clarity and alignment with the overall project objectives. Additionally, the individual exploitation plan enhances coordination and collaboration among partners by ensuring a harmonised approach to disseminating project outcomes. It enables partners to identify synergies, share resources, and avoid duplicative efforts. Furthermore, the individual exploitation plan serves as a proactive measure for partners to address potential challenges and risks associated with dissemination and exploitation activities. By anticipating obstacles and strategizing mitigations in advance, partners can navigate complexities more effectively and optimise the success of their individual exploitation endeavours. Table 8 - Partners' individual exploitation plans KER6 3D ENVIRONMENT FRAMEWORK Target stakeholder Education, specialised user, interested audience, bottom-up initiatives Stakeholder benefit New methods and approaches for state-of-theart visualisation and a framework for collaborative RE planning Barrier/ risks Funding for service after launch Owner and beneficiary(s) involved BOKU-ILEN KER8 WIMBY MAP CODE Target stakeholder Education, specialised user, interested audience, research and academia Stakeholder benefit Getting the information about potential wind power projects; ability to create own wind power project plans with limited knowledge and resources; understand the consequences and advantages of local deployment of wind power. With the additions of the results from the energy system modelling WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 48 of 58 Target stakeholder Research and academia, general audience Stakeholder benefit The report describes the methodology behind the obtention of the collision risk maps for European birds and bats. Barrier/ risks The methodology might not be well understood by a non-specialist audience. Owner and beneficiary(s) involved IIASA KER29 EUROPEAN BIRDS AND BATS COLLISION RISK ASSESSMENT Target stakeholder Research and academia, general audience Stakeholder benefit The assessment contains the species-level estimates of collision risk for European birds and bats. Barrier/ risks The estimates are species-level averages and might not capture intraspecific variation well. Owner and beneficiary(s) involved IIASA KER30 REGULATION ON WIND TURBINE SITING IN 10 EU MS (UP TO NUTS2) Target stakeholder • energy communities • citizens • municipalities • policy maker • wind park developer Stakeholder benefit • energy communities: can see whether construction of wind turbine in their vicinity possible • citizens: can check the regulation on wind energy construction is in their area • municipalities: can check the regulation on wind energy construction is in their area • policy maker: can compare the regulations with other areas WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 49 of 58 • wind park developer: can see whether the construction of a wind park in a certain area is legally possible Barrier/ risks • data will be outdated quite fast mitigation: some links are added, so users can check themselves and compare, whether the information in the legal text has changed. Perhaps the dataset can be updated every 6 months internally. A barrier will be the lack of funds. Owner and beneficiary(s) involved KIE KER31 POLICY REVIEW OF WIND ENERGY REGULATION IN AT, IT, PT AND NO Target stakeholder policy report relevant for all stakeholders (citizens, municipaliti es but also industry) interested in the current regulations governing wind energy; various business models for wind energy projects and possible funding opportunities for wind energy projects in the EU Stakeholder benefit • citizens: profit from getting a better understanding of the governance model in the wind energy industry and their opportunity to get active themselves (e.g. by funding a renewable or a citizen energy community); they can also learn from the listed best-practice models. • municipalities: see above • government: can get a better understanding of how other countries manage wind energy production (e.g. use of wind energy zones or not; mandatory financial participation or not; etc. ); they can also learn from the “mistakes” other countries have made in their development of a wind energy governance model (e.g. moratorium in WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 50 of 58 NO) and prevent it by, preferably, including stakeholders from the beginning • wind park operators: can get a better understanding of how to design their wind energy project in a more inclusive manner and learn from best practices in other countries Barrier/ risks • data will be outdated quite fast mitigation: some links can be added, so users can check themselves and compare, whether the information in the legal text has changed. Perhaps the dataset can be updated every 6 months internally. A barrier will be the lack of funds. Owner and beneficiary(s) involved KIE KER32 ANALYSISNG MISPERCEPTIONS IN THE WIND ENERGY SECTOR SPREAD ON TWITTER(X) AND NEWS Target stakeholder The dataset itself can be used not only by the consortium researchers but also be of interest for academia, researchers, professors, and students interested in the subject matter to develop research with the extensive material collected. The database should also interest researchers in the private market and consultants with knowledge of text and data analysis tools. However, due to its extensive and multifaceted analytical potential, the results of the analysis may interest a range of stakeholders involved in the planning and implementation of wind energy projects such as project managers, policymaker s, civil society organizations, and energy companies. The different analysis possibilities allow their results to be utilized and benefit different WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 51 of 58 sectors based on the use and hypotheses and research formulations raised. Stakeholder benefit With the misperceptions dataset, it is possible to understand the main topics of misperceptions filtered by geographic location; how these misperceptions change over time; how a location, a region, or a country covers the implementation of wind energy projects; what the main topics discussed in a country's social networks; who are the main opinion leaders in social networks regarding wind energy. Questions such as what the sentiment of Twitter users regarding wind energy change over time is , or what is the sentiment regarding a specific work or project can also be answered. The myriad uses of the dataset, depending on the period, coverage, topic of interest, and location, allow for a clearer understanding of how misperceptions regarding wind energy occur and, finally, how policymakers, energy companies, and civil society can work together to combat misinformation on the subject. Barrier/ risks To fully exploit the potential of the database, it is essential for researchers to be familiar with text analysis mechanisms in software such as R or Python and to have complete mastery of them. These methods are becoming increasingly popular as more researchers take an interest in the field and acquire the necessary skills to use them. However, it still requires some previous knowledge and training to do so. Given the extent and scope of the database, a complete understanding of how the data was collected and how the consortium researchers conducted the initial research is also necessary. For the dissemination of the dataset, we recommend WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 52 of 58 the development of documentation that facilitates understanding not only for consortium researchers but also for potential collaborators and users of the misperception dataset. Additionally, training in the tools used along with consortium researchers is recommended for a full understanding of the database and learning how to analyse it. Owner and beneficiary(s) involved KIE KER33 PLANNING HIGHLY RENEWABLE NET-ZERO ELECTRICITY SYSTEMS FOR EUROPE: THE TRADEOFFS BETWEEN SOCIAL, ENVIRONMENTAL AND ENERGY SYSTEMS Target stakeholder Academic, industry, policymakers, and civil society Stakeholder benefit An understanding of the trade-offs necessary in the design of European electricity systems with high shares of wind power Barrier/ risks Not been identified yet Owner and beneficiary(s) involved UCL-UIO KER34 WIMBY - SHADOW FLICKER CALCULATOR Target stakeholder Energy system modelers, wind power planners, spatial planners, and interested audience. Stakeholder benefit All of them can make calculations of shadow flicker for free and there is an opportunity to understand what exactly is taken into consideration and how. Barrier/ risks Compared to WINDPRO no UI is provided, therefore some minimum knowledge of python is required to use it. The objective is that it can be also used via the WIMBY interactive map, which partially addresses the lack of UI. It is only partially because we do not think that the model will be fully tuneable from WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 53 of 58 the interactive map (many parameters will be kept to the default.) Owner and beneficiary(s) involved UU KER35 SHADOW FLICKER MODEL DESCRIPTION Target stakeholder Energy system modelers, wind power planners, spatial planners, and interested audience. Stakeholder benefit All of them can make calculations of shadow flicker for free and there is an opportunity to understand what exactly is taken into consideration and how. Barrier/ risks Compared to WINDPRO no UI is provided, therefore some minimum knowledge of Python is required to use it. The objective is that it can be also used via the WIMBY interactive map, which partially addresses the lack of UI. It is only partially because we do not think that the model will be fully tuneable from the interactive map (many parameters will be kept to the default.) Owner and beneficiary(s) involved UU KER36 TAXONOMY OF WIND POWER IMPACTS Target stakeholder IEA, interested audience, the scientific community. Stakeholder benefit It would help to speak a common language about the impacts of wind power. Barrier/ risks It is not clear how many stakeholders know about the taxonomies that the DTU/IEA have created. mitigation: we can promote them via the web page, an associated scientific publication and dissemination channels of WIMBY/UU. Owner and beneficiary(s) involved UU WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 54 of 58 KER37 WIMBY - JOB CREATION MODEL Target stakeholder Interested audience, research and academia, education, policymakers Stakeholder benefit Quick but detailed estimation of job creation potential of a single wind park. Barrier/ risks No UI, therefore some minimum knowledge of Python is required to use it. The objective is that it can be also used via the WIMBY interactive map, which partially addresses the lack of UI. It is only partially because the user will be required to deal with many other parameters for other topics not related to job creation before getting the job creation estimation. Owner and beneficiary(s) involved UU KER38 JOB CREATION REVIEW AND MODEL Target stakeholder Interested audience, research and academia, education, policymakers Stakeholder benefit Quick but detailed estimation of job creation potential of a single wind park. Barrier/ risks No UI, therefore some minimum knowledge of Python is required to use it. The objective is that it can be also used via the WIMBY interactive map, which partially addresses the lack of UI. It is only partially because the user will be required to deal with many other parameters for other topics not related to job creation before getting the job creation estimation. Owner and beneficiary(s) involved UU KER39 3D ENVIRONMENT TOOLSET AND INTERACTIVE PLANNING TOOL Target stakeholder Professionals, researchers, and other specialised user WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 55 of 58 Stakeholder benefit A workflow (codebase) to manage complex and diverse geodata for visualisation and analysis Barrier/ risks Funding for service after launch Owner and beneficiary(s) involved BOKU-ILEN KER40 REGION-SPECIFIC WIND POWER PLANT LCOE MODEL Target stakeholder Interested audience, research and academia, education, policymakers Stakeholder benefit Quick but detailed estimation of LCOE for a specific wind farm in Europe Barrier/ risks No UI, therefore, some minimum knowledge of Python is required to use it. The objective is that it can be also used via the WIMBY interactive map and TOPFARM, which partially addresses the lack of UI. Without updating cost-specific parameters, the model can become obsolete. Owner and beneficiary(s) involved DTU + ETH, to be discussed further with project partners. KER41 UPDATES TO THE NEW EUROPEAN WIND ATLAS MODEL Target stakeholder Interested audience, research and academia, education, policymakers. Stakeholder benefit Updates to the already popular NEWA dataset including more recent years. Also, updated microscale modelling that will result in more accurate results. Barrier/ risks Due to the large size of the dataset, the data download speed is always a problem. Also how to support further updates once the project ends. Owner and beneficiary(s) involved DTU WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 56 of 58 KER42 UPDATES TO TOPFARM Target stakeholder Interested audience, research and academia, education, policymakers. Stakeholder benefit New models make TOPFARM attractive because optimis ation based on quantities other than AEP can be carried out. Barrier/ risks Without updating cost-specific parameters, the model can become obsolete. Owner and beneficiary(s) involved DTU 5. EXPLOITATION PLAN TIMELINE 5.1 Initial project phase (M01-M15) A strategic approach to define and analyse the existing background IP, the initial patent landscape, opportunities, and risks of sharing knowledge is carried out in this section of the deliverable. Through iterative workshops and discussions, the exploitation strategy has taken shape over time, while preliminary results were drafted. Stakeholder groups were outlined, PESTEL and SWOT analyses were conducted, and the data helped to create a solid plan to exploit the results of WIMBY. This strategic work lays the foundation for a targeted and impactful exploitation path in the evolution of the WIMBY project. 5.2 Core project phase (M15-M24) During the core project phase, the joint and individual exploitation strategies and pathways will be further refined. This includes identifying the possible IP ownership arrangements and related responsibilities, including possible joint ownership (e.g. patents, joint IPR agreements, etc.). Moreover, the Consortium will keep track of possible outcomes not originally foreseen, to promptly evaluate their potential exploitation. Similarly, market needs or stakeholder interests change, therefore Consortium members will be periodically invited to reconsider planned exploitation activities. In particular, a dedicated session will be organised during the 4th General Assembly around January 2025 (M25), when the first versions of the WIMBY interactive map (D5.1) and 3D Environment (D5.2) will be already deployed and upcoming updates from WP2 and WP4 could also be considered. WIMBY | D6.5 Plan for results exploitation | V 2.1 | Public This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101083460. This document reflects only the author’s view, and the Commission is not responsible for any use that may be made of the information it contains Page 57 of 58 5.3 Final project phase (M25-M36) Once the project approaches its end, the focus of exploitation activities will shift towards the sustainability and legacy of WIMBY. The team will strive to ensure a smooth transition from the dissemination of results towards their practical applications and will continue to foster partnerships to maximise long-term impact. The goal is to maintain the relevance of WIMBY's findings, foster industry growth, and contribute to the realisation of a sustainable energy transition in Europe. 6. EC EXPLOITATION SERVICES If the needs emerge, the WIMBY Consortium will refer to the available EC services related to exploitation, namely: 1. the Horizon Results Booster (HRB)1, which offers free consultancies, as well as support for the exploitation of results. 2. the Horizon Results Platform (HRP)2, where Key Exploitable Results, are available for all interested stakeholders and bi-directional engagement among beneficiaries and potential end-users is provided, directly or through National Contact Points (NCPs). 3. The European IP Helpdesk3, supporting beneficiaries of EU-funded projects to manage their Intellectual Property in the context of EU research and innovation programs. 7. CONCLUSIONS DBL has the leadership of task T6.4 - Exploitation of project results. All partners are responsible for preparing their individual and joint exploitation plans and providing input to the task, deliverables, and materials. If needed, a detailed joint Exploitation Agreement will be defined among partners to establish clear commercial routes, publication policies, and rights to exploit, finally providing fair commercial opportunities for all. This Agreement will refer to this Exploitation Plan, specifying the activities that the partners are committed to carry out before and after the end of the project to guarantee exploitation. Each Agreement will be signed by all involved partners, by the 1 https://ec.europa.eu/research-and-innovation/en/research-area/industrial-research-andinnovation/eu-valorisation-policy/knowledge-valorisation-platform/repository/horizon-resultsbooster 2 https://ec.europa.eu/research-and-innovation/en/research-area/industrial-research-andinnovation/eu-valorisation-policy/knowledge-valorisation-platform/repository/horizon-resultsplatform 3 https://intellectual-property-helpdesk.ec.europa.eu/services/horizon-ip-scan_en