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Forschungsstelle
BFE
Projektnummer
SI/502134
Projekttitel
Concept for The Swiss Wind Energy Machine Learning Platform - improving wind energy project planning and operation

Texte zu diesem Projekt

 DeutschFranzösischItalienischEnglisch
Kurzbeschreibung
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Schlussbericht
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Erfasste Texte


KategorieText
Kurzbeschreibung
(Deutsch)
Das Ziel dieses Projekts ist die Entwicklung eines grundlegenden Konzepts für eine neue Plattform "Swiss Wind Energy Machine Learning Platform", die zur Entwicklung und Anwendung neuer "Machine Learning"-Methoden für eine verbesserte Planung und Betrieb von Windenergieprojekten genutzt werden kann. Es wird sich auf die Bedürfnisse des Schweizer Marktes und die Kompetenzen der Schweizer Produkt- und Dienstleistungsanbieter fokussieren und die Implementierung von Anwendungsfällen beinhalten.
Kurzbeschreibung
(Englisch)
The goal of this project is to develop a fundamental concept for a new Swiss Wind Energy Machine Learning Platform, which can be used to develop and apply new machine learning methods for improved wind energy project planning and operation. It will focus on the needs of the Swiss market and the capabilities of Swiss product and service providers, and will include the implementation of some use cases supplied by industry partners.
Schlussbericht
(Englisch)
In this report, the development of a concept for The Swiss Wind Energy Machine Learning Platform is described. We firstly introduce the background and motivation, then define the initial requirements, explain how a suitable partner was identified, introduce the fictional user journeys, describe the implementation of more than 30 user interviews, then describe the development of a mini-demonstrator and finally introduce the final concept. We have identified a very large interest in and high demand for a self-sustaining platform that provides a central location for wind energy industry and research to share and collaborate on reproducible workflows, data and code whilst respecting confidentiality requirements. There is a very high potential for this platform and we are committed to continuing its development as quickly as possible, as described in the final chapter of this report. We plan a bottom-up approach, starting with the definition of a Minimum Viable Product and further developing the platform as we introduce more users and better understand their needs, as described in the final chapter. The concept we have developed is the first central collaboration platform in the wind energy industry that provides real incentives for participation. It is a Wiki- and cloud-based platform with threaded discussions and searchable labels, allowing users to post requests, challenges and contests on one hand (data-owners), and answers, solutions and submissions on the other hand (algorithm/method-owners) on key wind energy topics, as well as datasets, lectures, information, standards, data standards, and more. The platform is divided into separate "open" and "private" sections, allowing users to share and showcase information on their own terms. It contains an optional docker environment for running and reproducing entire workflows in a standardised manner. The platform does not seek to replace any existing platforms; its power is in providing a central location for solving the most important wind energy industry challenges through sharing and exchanging selected information. For example, the datasets do not have to be stored on the platform (even though they can be), but a link or API to an existing platform can be provided, code can be either uploaded directly or provided via links to existing GitHub repositories, existing videos can be embedded, etc.. As this platform will provide users with a real incentive for participation, it will be able to sustain itself long-term by generating revenue from user membership fees, advertising, and fees for particular features. We have changed the name of the platform to the wedowind.com platform, with a slogan "Accelerating innovation through knowledge sharing". By providing this central platform where all the information related to particular relevant wind energy challenges and topics can be stored, exchanged and improved in a reproducible manner, the whole wind energy community benefits. Companies benefit by getting solutions to their key challenges, by improving their workflows, by showcasing their work and by getting access to the best researchers. Researchers benefit by getting access to relevant datasets and real industry problems, by improving their solutions, and by getting access to industry partners. The whole community benefits as these collaborations lead to more efficient problem solving of the key challenges, ultimately reducing the cost of wind energy. In particular, Swiss organisations benefit from the increased opportunities for relevant learning and technology transfer from international and national players as well as collaborations that enable an easier entry in the global wind energy market. The Swiss Energy Strategy 2050 could benefit from transfer of the ideas and concepts developed here to the entire Swiss energy branch, including tokenomics, incentive schemes, anonymous computing, data sharing and computing without compromising copyrights and authorships. We are already involved in plans to apply the solution to other fields, as well as for the Swiss Wind Atlas. The platform has particularly high potential for applications with a wide range of stakeholders. Other benefits to Switzerland in general include the improved visibility and reputation of Switzerland as an innovate country, technology transfer to other fields, including in societal, social and energy applications, and the improved acceptance of wind energy in the general public due to more media coverage and exposure to attractive and innovative projects.
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