Media Hub

This document presents an industry-aligned, field-tested guide to best practice across the full lifecycle of Lidar Deployments: from site selection and system setup through to maintenance, monitoring, and pre- and post-campaign validation. It includes practical tools, sample checklists (see Annex), and is underpinned by IEC, MEASNET, DNV, and IEA guidance. By adhering to these practices, project developers and measurement professionals can significantly reduce uncertainty, improve data representativeness, and ensure successful wind measurement campaigns.

At the beginning of 2023, Firnas Shuman was approached by an independent energy developer to assess the development potential of a large-scale, multi-gigawatt renewable energy project in Mauritania. The project, targeting over 10 GW of combined onshore wind and solar capacity, is designed to supply a green hydrogen export facility across two extensive areas totalling approximately 15,000 km². To initiate the measurement campaign quickly and to ensure comprehensive coverage of the vast project area, Firnas Shuman deployed twelve ZX 300 Lidars, complemented by 6 meteorological masts and 4 solar measurement stations. This integrated approach provided high-resolution wind and solar resource data to support the project’s large-scale feasibility assessment.

METICE is a machine-learning ensemble transfer function that converts a CW Lidar’s turbulence measurements into an equivalent cup reading. What sets METICE apart is its novel architecture combining multiple site-specific models with a Bayesian weighting scheme, combined with extensive training and validation data sets that represent best-in-class turbulence intensity data from a Lidar.

An Informative Guide for the Wind Energy Industry.

Measuring wind in the 10–50 m layer above ground or sea level is critical for a range of applications within the wind energy industry - from designing wind energy projects to understanding loads on modern wind turbines.

This informative guide explores the unique wind flow behaviour in the 10–50 m layer, the challenges of measuring wind in this regime, and how ZX’s Lidar technology addresses these challenges. We present validation evidence comparing ZX Lidars against traditional sensors (cup and ultrasonic anemometers) at low heights, discuss use cases across wind energy and offshore platforms, and include real-world case studies. All claims are grounded in validated data and aligned with IEC 61400-12-1 standards and industry best practices for wind measurements.