Predictive Analysis on the Worlwide Energy Sector

Projektinformationen

PAWES

ID Finanzhilfevereinbarung: 881419

DOI

10.3030/881419

Projekt abgeschlossen

EK-Unterschriftsdatum 15 November 2019

Startdatum 1 Dezember 2019

Enddatum 30 November 2021

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 5 206 706,75

EU-Beitrag

€ 2 500 000,00

Koordiniert durch

KAYRROS
France

Periodic Reporting for period 2 - PAWES (Predictive Analysis on the Worlwide Energy Sector)

Berichtszeitraum: 2020-12-01 bis 2021-11-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

New technological, economic, geopolitical and social fault lines are shaking the foundations of two of the global economy’s most important sectors: the energy and the information and communications technology (ICT). The energy system is facing a critical and urgent transition toward a cleaner, more affordable and sustainable model with associated costs estimated in the hundreds of euro trillions over the next decades. In this context, strategic operational and investment decisions should be based on reliable, accurate and actionable information, often unavailable. At the same time, the ICT sector must develop new technologies as machine learning and advance signal processing to treat an unprecedented volume of alternative data. The energy sector could then highly benefit from the ICT’s big data disruption to the success of its transition.

Combining deep sector (energy) and technology (data science, machine learning) expertize to provide new and valuable information for greater transparency in energy markets and operations, Kayrros ambitions to become the European tech champion in business intelligence and analytics. Commingling commercially available data from sensors, satellites and the web, Kayrros has placed R&D at the heart of its development and growth strategy since its inception in 2016. Built by European talents with a global ambition, the company has consolidated a leadership position as the reference alternative data provider for the energy market and is now expanding into new sectors.

Thanks to its proprietary technology, Kayrros’s main goal is to create and lead a new multi-billion-euro market, by being the first provider of automated real time observation of industrial assets worldwide. For that purpose, Kayrros has built a highly automated asset-centric database and visualization platform, which has been rolled-out and commercialized as Kayrros’s Solutions in 2019. Access to the SME Phase 2 funding will be crucial to support Kayrros in securing its first mover position in the energy sector and accelerating its expansion to other industries. It will translate in the creation of dozens of new jobs in the European Union and will lead to new business opportunities.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

Kayrros had made significant advances in building several resolutely new and essential databases to achieve the goals set by Kayrros. Kayrros has advanced towards the creation of an Asset Database by developing additional tools necessary for managing the Asset database, enriching it with required information and affording the access to the assets in a scalable way. Through the introduction of functionalities like Platform Labeling and ‘Bring your own data’ internal teams now have the required tools for enriching assets with custom results and attributes facilitating their transfer from one organization to the other. Kayrros has also introduced the concept of ‘collections of assets’ which can regroup industrial assets and facilitate their monitoring and sharing. Collection constitutes the main mechanism for sharing assets and results among different organizations and one of the main ways for users to browse the Kayrros Asset Database. The asset database is currently populated with the first official collections of assets that client organizations will be able to import and reuse.

Kayrros has put in place a set of tools and methodologies for capturing and sharing all the technical knowledge related to the Kayrros Platform and its use in various data science projects. These tools are successfully used internally and externally and significantly the time needed for users to onboard Kayrros technology.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

The potential impact of the PAWES technology is large and can touched many sectors and many users. Indeed, the solution addresses a new, large, fast-growing market initially focused on Oil & Gas and energy market participants and now extended to new energy market segments such as, broader natural resources, but also, in a few years’ time, any industrial sector with visible physical activity could. The solutions can thus be used for many strategic purposes by public and private decision-makers. To better understand what the technology can perform and why it is strategic in our current Word, we can give the readers some clear examples. In the energy sector, the first sector with needs to which the PAWES platform had to answer, Kayrros now provides the data that public action lacks by assessing the methane emissions of companies on a global scale. The technology developed under the SME instrument makes it possible, for the first time, to detect and quantify methane emissions on a global scale and then determine their source. The platform offers public authorities the opportunity to base future legislation on reliable and standardised data and to select the energy suppliers most in line with the objectives of the Paris agreement. Thanks to PAWES, Kayrros has been able to offer a large-scale geolocation monitoring solution to help adapt the measures taken by the authorities during the covid-19 crisis. The platform was able to indicate the decrease in travel between departments and was able to confirm, thanks to very precise data, that the time spent at home has increased, except for Paris, in the Ile de France region of France. The platform is also able to measure population density to anticipate the origin of new COVID 19 clusters. The platform has shown, for example, that even if clusters have considerably decreased in the Paris conurbation, some areas such as the 18th arrondissement of the French capital still had too many local clusters. From the energy sector monitoring to the Covid 19 clusters reduction, the objective of the platform can be various but always remains strategic in the most crucial decisions.

PAWES platform