Paul Watissée Email & Phone Number

Copenhagen, Capital Region Of Denmark, Denmark

Consultant in the Operations Economics & Analytics team - Consultancy.Missions:- Wind farm O&M modelling: OPEX, availability and accessibility - Internal tools development and methods improvement, both on Python and Excel - Floating wind O&M technology operations assessment - Analyze data on floating projects to build a tow-to-port (TTP) and onsite repair methodology (weather limitation, vessels spread, estimation of vessels chartering times, total operation downtime, etc.)- OPEX budgets - Delivering OPerational EXpenditures over the asset lifetime for offshore wind projects, engagement on both bottom-fixed and floating technologies- Availability & Accessibility calculations - Delivering availability and accessibility results along with the OPEX budget- O&M Strategy - Port assessment, logistical concepts, maintenance etc.

Copenhagen, Capital Region, Denmark

As part of the Graduate Programme, I worked in 3 different teams of the company (8 months per rotation). I completed the Graduate Programme in August 2024.1st rotation: O&M Strategy, Concepts & OPEX - Consultancy- OPEX budgets - Delivering OPerational EXpenditures over the asset lifetime for offshore wind projects, engagement on both bottom-fixed and floating technologies- Availability & Accessibility calculations - Delivering availability and accessibility results along with the OPEX budget- OPEX, Availability and Accessibility modelling - Internal tools development, both on Excel and Python (reviewing calculations, improving methods, updating assumptions, standardizing processes, etc.)- O&M Strategy - Port assessment, logistical concepts, maintenance etc.- Ad-hoc tasks - From supporting other client assignments to being involved in internal development 2nd rotation: Floating Wind Excellence & Advanced Programs - Consultancy- Tow-to-port (TTP) operations assessment - Analyze data on floating projects to build a TTP methodology (weather limitation, estimation of vessels chartering times, total downtime, etc.)- OPEX assumptions for floating projects - Develop floating-specific OPEX assumptions for floating projects, including TTP operations, mooring lines, dynamic cables, etc.- Python tool development - Restructuring + reviewing methodology and assumptions for site accessibility, availability and TTP modelling- Client assignments - Engagement on several client assignments to support floating projects3rd rotation: Central Operations - Asset Management- Asset Management - Active role in day-to-day operations of onshore wind assets under PEAK Wind's management- Deliverables improvement - Improve the reporting process and template of one of the key deliverables delivered to wind farm owners- Auditing tool development - Leading the development of an internal tool to facilitate internal auditing of wind farm assets under PEAK Wind's management

Copenhagen, Capital Region, Denmark

This Master's thesis project was part of my education at DTU - Technical University of Denmark. Grade: AThe project focused on an innovative framework within floating wind: maximizing annual energy production (AEP) of floating wind farms comprising a passive relocation of all turbines. Work carried out: - Conducting a literature review on optimization, floating wind, wind farm control strategies and turbine repositioning.- Building a methodology describing the main features of the wind farm (wind farm layout, wind turbine characteristics, mooring lines), the forces applied to wind turbines and the power output.- Describing different cases corresponding to optimization problems in order to draw relevant comparisons between bottom-fixed platforms and floating wind turbines. - Programming in Python using PyWake, a package for wind farm simulations developed by DTU Wind Energy, and OpenMDAO, an open-source package for optimization purposes. - Showcasing and discussing all results obtained, and carrying out a sensitivity analysis. In particular, the aforementioned control strategy presents significant AEP improvements under specific conditions, highlighting that mooring systems can play a key role in improving offshore floating wind farm efficiencies.

La Défense, Paris, France

Topic of the internship: uncertainties regarding horizontal extrapolation of onshore wind data (from a measurement mast to a wind turbine).Purpose: update values regarding uncertainties on horizontal extrapolation using WindPRO.Work carried out:- Short bibliographic readings in order to define a methodology- Apply the methodology and test on two onshore wind farms operated by EDFR. Use of WindPRO (creation of masts, data importations, PARK calculations...) to run wind speeds calculations and use of Excel to analyze results (comparisons with SCADA data, highlight trends thanks to regressions...).

La Défense, Paris, France

Subsidiary: Total Solar Distributed GenerationSynthesis of solar PV farms costsMain purpose: deducing standard costs of every part of a solar farm. Building new abacus in order to estimate costs of future projects.Synthesis of grid connectionMain purpose: deducing standard costs of grid connection before implementing them in costs abacus. Assessment of all the different connection solutions, used as a reference for future projects.

Nancy, Grand Est, France

Second year project at École des Mines de Nancy, in partnership with EDF Renouvelables. Grade: APurposes: - Site assessment of the zone delimited by EDF Renouvelables (constraints linked to houses, high-voltage overhead lines, roads, waterways, elevation gain, environmental and military aspects...).- Wind resource assessment thanks to data obtained on a measure mast and provided by EDF Renouvelables (vertical extrapolation of wind speeds, wind rose, Weibull distribution, turbulence intensity...).- Calculating the power generation of a single wind turbine thanks to data provided by EDF concerning a wind turbine (rated power, power curve, hub height, rotor diameter...).- Building different designs by placing wind turbines smartly and calculating the power generation of every design, taking into account wake effects.- Economic assessment thanks to data provided by EDF allowing to choose the more profitable design.

Master'S Degree, Sustainable Energy - Wind Energy

Main courses: Wind turbine aerodynamics and technology, Aeroelastic simulations, Planning and development of wind farms, Offshore wind.

Master'S Degree, Energy

Main courses: General theory Mathematics and Physics, Fluid mechanics, Data analysis, Digital simulations, Statistics.

Classes Préparatoires Aux Grandes Ecoles D'Ingénieur, Engineering

First year: PCSI (Physics, mathematics, chemistry, informatics) Second year: PSI* (Physics, mathematics, informatics)

Baccalauréat, Scientific, Highest Honours (Mention Très Bien)