Dr Johnson features in PESA News covering how numerical modelling enables the rapid and cost effective assessment of marine energy.
High resolution modelling and hindcasting of past conditions enable large areas to be analysed for the most likely areas for marine energy whether wave or tidal. The differing characteristics of the marine environment can be reviewed to help determine areas suitable for specific device types, time series analysis of power availability such as seasonal patterns and even the power output of various devices - all without extensive field data collection programmes.

Exciting New Marine Energy Resource Assessment & Atlas For New Zealand Published By EECA and Electricity Commission. MSL helps answer the critical development questions: where is the resource, the extrema, the frequency and what wave/ current profile for different devcies?

Considering deploying wave or tidal energy farms, planning infrastructure or even assessing design parameters for devices? MSL presented on the marine energy resource available around New Zealand at the national marine energy conference. Dr Dave Johnson analysed the available wave and current energy around the country.

Want to get a better handle on the uncertainty of the weather, wind or ocean? MSL's recently launched ensemble weather service has been providing clients with a visual assessment of the probable variability of weather outcomes to support critical decisions.

Forecasts are by definition forecasts. The weather can vary in terms of timing, location and magnitude. In some conditions weather patterns are generally stable, in others weather may vary quite significantly from forecasts at any single point. This uncertainty can impact critical operational decisions.

MSL's Dr Peter McComb reviews offshore developments in Taranaki and how advanced numerical modeling of ocean and weather conditions can assist in optimising design criteria, project planning and operations. These techniques allow projects to significantly cut timelines and costs as well as effectively manage design criteria, project plans and deployment for the marine environment. They are especially powerful in regions without a significant history of data collection such as the Taranaki and Great South Basins, and can be rapidly deployed anywhere in the globe.

Improving offshore project performance with advanced weather downtime analysis.

What it does

Ocean engineering relies heavily on marine conditions meeting operational tolerances to safely complete tasks. MSL’s Sequenced Downtime Analysis (SDA) is an invaluable tool for planning of marine operations, providing a realistic indication of the likely time a job will take to be completed. In turn this drives effective project, resource and contract planning.

How it works

Ship Routing Forecasts

Online, a ship route is established on a series of waypoints, and the duty forecaster simply inputs the latest position and speed of the vessel. The tool extracts the forecast wave and wind conditions (from the best available data source on our global Environmental Data Server) along the ship route over the following 7 days. These data can be served as text files or as graphs and daily charts of winds and waves with the vessel and route overlaid.

MetOcean's portal offers on-line access to a range of emergency response and hazard management tools. On-line access enables live monitoring and forecasts and projections, easy access from multiple locations for multiple users, and real data for training and simulation all at an affordable price.

MSL's models can be deployed on a long or short term basis around the world.

Learn more about the on-line emergency response tool for oil spill or man overboard trajectory monitoring.

ERI web interface
The MSL Emergency Response Interface (ERI) directly integrates the latest MSL forecasts of winds and waves with a trajectory model for prediction of how contaminants or objects are likely to move following loss at sea.
Using a point and click interface, the files necessary to run the trajectory model are automatically generate for the required area and time span of the incident.