Samuel Cressall
Summary
Results-driven Offshore Wind Engineer and EngD researcher with four years' experience in developing and validating floating LiDAR systems. Expertise includes wind-resource measurement, data quality control, measurement uncertainty, energy-yield modelling, and Python-based data processing. Delivers complex technical projects collaboratively, translating research into commercial improvements and effectively communicating findings through reports, conferences, and international working groups.
Overview
4
4
years of professional experience
Work History
Reserach Engineer
Partrac
Edinburgh
09.2023 - Current
- Led technical work packages across system integration, data infrastructure, quality control and offshore monitoring, converting campaign findings into commercial product improvements.
- Supported floating lidar system progression from prototype development through offshore validation to Stage 2 commercial maturity.
- Coordinated engineering, software, operations and commercial teams to deliver testing, deployment and risk-management activities against project KPIs.
- Presented technical findings to clients and industry stakeholders through reports, conferences, webinars and technical presentations.
- Contributed to an IEA Wind Task 32 publication on qualifying LiDAR-derived turbulence intensity for fatigue-load assessments.
- Applied IEC 61400-12, IEC 61400-15-1 and IEC 61400-50 series, Carbon Trust OWA guidance and DNV metocean campaign requirements to floating-LiDAR validation, quality control and offshore campaign delivery.
Research Engineer
The University of Edinburgh
Edinburgh
09.2022 - Current
- Developed a Monte Carlo framework to quantify how floating-LiDAR turbulence-intensity uncertainty propagates through wake-loss and power-curve models into AEP estimates.
- Built a numerical digital twin of a floating lidar system to assess motion-induced errors and evaluate correction strategies using stochastic wind fields and measured platform motion.
- Developed Python workflows for data processing, quality control, wind-vector reconstruction, motion correction and validation against met-mast and fixed-LiDAR measurements.
- Designed quality-control procedures for offshore wind datasets, including sensor inter-comparisons, mast-wake screening, availability checks, wind-direction correction and reference-data selection.
Education
Doctor of Engineering - Offshore renewable energy
Univeristy of Edinburgh
Edinburgh01-2026
Master of Science - 3D printing
Swansea University
Swansea01-2021
BEng - Mechanical Engineering
Swansea University
Swansea01-2020
Skills
- LiDAR data analysis
- Wind energy modelling
- Statistical uncertainty analysis
- Python and Data Processing
- Quality control validation
- Data Infrastructure Development
- Technical leadership
Volunteering
- Served for two years as Finance Manager for the International Network on Offshore Renewable Energy, managing budgeting, sponsorship and multi-currency financial tracking for international symposia with an annual operating budget of approximately £25,000.
- Worked with an international committee and industry sponsors to maintain transparent financial reporting and deliver events within budget, while helping to double the number of international events held during the appointment.
Timeline
Reserach Engineer
Partrac
09.2023 - Current
Research Engineer
The University of Edinburgh
09.2022 - Current
Doctor of Engineering - Offshore renewable energy
Univeristy of Edinburgh
Master of Science - 3D printing
Swansea University
BEng - Mechanical Engineering
Swansea University