Stage - analyse du changement climatique

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Titre du poste :
Stage Analyse longterme des donnes de vent issues des SCADA (Onshore & Offshore) pour ltude des effets du changement climatique

Localisation :
Paris La Dfense 92 & cole Polytechnique (Palaiseau)

Description du march et contexte du poste :

Le march de lolien aussi bien terrestre que marin est en pleine expansion lchelle mondiale. Cette croissance saccompagne dun besoin croissant de comprhension fine de la ressource olienne dans un contexte de changement climatique. Siemens Gamesa Renewable Energy (SGRE) filiale de Siemens Energy est un leader mondial dans la conception linstallation et la maintenance doliennes. SGRE sassocie au Laboratoire de Mtorologie Dynamique (LMD) lcole Polytechnique pour explorer lvolution des caractristiques du vent sur les 20 dernires annes.

Le stage vise analyser les donnes de vent enregistres par des milliers doliennes Siemens Gamesa (onshore et offshore) sur les 5 continents. Lobjectif est dtudier les tendances annuelles et pluriannuelles de lintensit du vent (moyennes 10 minutes) de la direction du vent et de la turbulence et de mettre ces volutions en lien avec les phnomnes climatiques globaux (comme El Nio La Nia ou la variabilit dcennale).

Objectifs du stage :

• Traiter et structurer des volumes massifs de donnes SCADA sur les vents (vitesse 10min direction turbulence).
• Identifier des tendances climatiques longues sur lvolution du vent diffrentes chelles temporelles (saisonnier annuel dcennal).
• tudier les variabilits rgionales et leurs liens avec les grands modes climatiques (ENSO NAO etc..
• Comparer les donnes locales mesures avec des ranalyses atmosphriques et modles climatiques globaux.
• Explorer limpact de certains vnements climatiques (ex : forts El Nio) sur les rgimes de vent dans diffrentes rgions.
• Mettre en place des analyses statistiques avances et des visualisations robustes.
• Contribuer une meilleure comprhension physique de lvolution de la ressource olienne dans un climat changeant.

Profil recherch :

• tudiant(e) en Master 2 ou dernire anne dcole dingnieur.
• Formation en mcanique des fluides nergie climat ou domaine connexe.
• Solide niveau en statistiques et analyse de donnes temporelles.
• Trs bon niveau en programmation (Python et MATLAB requis).
• Connaissances en mtorologie dynamique de latmosphre et modes de variabilit climatique (ENSO NAO etc..
• Intrt pour lolien la ressource en vent et les enjeux climatiques.
• Autonomie rigueur scientifique et esprit danalyse.

Title:
Internship Longterm Wind Data Analysis from SCADA Systems (Onshore & Offshore) to Assess Climate Change Impacts

Location:
Paris La Dfense (SGRE) & cole Polytechnique (LMD Palaiseau France)

Market Overview and Job Context

The global wind energy sector both onshore and offshore is experiencing rapid growth and is playing a key role in the energy transition. However longterm shifts in wind resource patterns due to climate change are becoming an increasingly important concern. Siemens Gamesa Renewable Energy (SGRE) a Siemens Energy business unit and world leader in wind turbine manufacturing and maintenance is launching a collaboration with the Dynamic Meteorology Laboratory (LMD) at cole Polytechnique to address this issue.

The goal of this internship is to analyze SCADA wind data including 10minute average wind speed wind direction and turbulence intensity collected from thousands of SGRE turbines located on all five continents over the past 20 years. This work will assess longterm trends and interannual variability of wind characteristics and investigate their links with largescale climate dynamics such as ENSO (El Nio / La Nia) the North Atlantic Oscillation (NAO) and others.

This project sits at the intersection of industrial data science fluid dynamics and climate research and is cosupervised by experts at SGRE and researchers at LMD.

Internship Objectives

• Process structure and analyze largescale SCADA datasets focused on wind characteristics.
• Identify longterm trends in wind speed direction and turbulence intensity across different regions and time scales (seasonal annual decadal).
• Detect and characterize interannual to decadal variability and assess links with known climate modes (ENSO NAO MJO etc..
• Compare local SCADAderived wind data with outputs from reanalysis datasets and climate model simulations.
• Investigate the potential impacts of extreme climate events (e.g. strong El Nio years) on wind patterns in specific regions.
• Apply statistical and data science tools to reveal meaningful patterns and build robust visualizations.
• Contribute to the understanding of how wind energy resource is evolving in a changing climate.

Candidate Profile

• Finalyear Masters student or engineering school student (M2 or equivalent).
• Background in fluid mechanics climate science data science energy systems or related fields.
• Strong skills in statistics data analysis and time series processing.
• Proficiency in Python and MATLAB (mandatory).
• Solid knowledge of atmospheric dynamics climate variability and climate indices (ENSO NAO etc..
• Interest in wind energy renewable resources and climate impacts.
• Scientific curiosity critical thinking and ability to work independently.
• Comfortable working in an interdisciplinary and international environment.

Supervision & Work Environment

• Joint supervision by:
  • SGRE engineering and data teams (based in Paris La Dfense
  • Researchers from the Dynamic Meteorology Laboratory (LMD) at cole Polytechnique (Palaiseau)
• Access to a unique globalscale SCADA database
• Opportunity to work across the industryresearch interface
• Possibility of scientific publication or continuation into a CIFRE PhD

Working Languages

French and English (documentation and communication in both)

Siemens Gamesa is an equal opportunity employer and maintains a work environment that is free from discrimination and where employees are treated with dignity and respect. Employment at Siemens Gamesa is based solely on an individuals merit and qualifications which are directly related to job competence. Siemens Gamesa does not discriminate against any employee or job applicant on the basis of race ethnicity nationality ancestry genetic information citizenship religion age gender gender identity/expression sexual orientation pregnancy marital status disability or any other characteristic protected by applicable laws rules or regulations. We adhere to these principles in all aspects of employment including recruiting hiring training compensation promotion and benefits.

We are driven by people from more than 100 different countries they build the company we are every day. Our diverse and inclusive culture encourages us to think outside the box speak without fear and be bold. We value the flexibility that our smartworking arrangements our digital disconnection framework and our familyfriendly practices bring to the new way of working.