Seanergy Prediction Tool

Seanergy Prediction Tool

A decision-support tool that identifies the potential and optimal combination of offshore wind, wave, battery and solar energy systems.

The Challenge of Offshore Energy

Offshore equipment require reliable power around the clock. Traditional solutions rely heavily on diesel generators or battery systems, which are expensive to operate and maintain while producing significant emissions in their operations.

Renewable energy offers a cleaner alternative, but each source has limitations. Solar panels produce nothing at night. Wind turbines sit idle during calm periods. Even wave energy, though more consistent, varies with ocean conditions.

The question isn't which renewable source is best—it's how to combine them effectively to minimize the gaps that require diesel backup. Seanergy answers this question through data-driven analysis.

The analysis begins with location selection. Every offshore site has unique characteristics: wave heights, solar irradiance, and wind patterns all vary by geography and season.

Step 1

Analysis Location

Every offshore site has unique characteristics. For this demonstration, we analyze data from the Dutch Continental Shelf in the North Sea—a region with significant wave, wind, and solar potential.

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North Sea (Dutch Continental Shelf)

Coordinates: 53.50°N, 4.50°E

Once a location is selected, Seanergy analyzes years of (hindcast) weather data to compute the energy potential.

Step 2

Analyze Historical Patterns

The chart below shows capacity factors for wave, solar, and wind energy over five years. Click any bar to drill down from yearly to monthly to daily to hourly data, revealing the patterns that inform optimization.

Yearly Overview

Capacity factor by energy source

Wave
Solar
Wind

The data reveals important patterns. Wave energy maintains relatively consistent output throughout the year, while solar shows strong seasonal variation. Understanding these complementary patterns is key to effective energy mix optimization.

Historical capacity factors tell only part of the story. To understand the real value of combining energy sources, we simulate how they perform together against actual demand patterns over multiple days.

Step 3

Compare Energy Scenarios

This simulation compares energy production over three days. The Production view shows output from each source. The Gap Analysis view shows when production fails to meet demand, the hours requiring diesel backup.

Three-Day Simulation

100 MW offshore platform

Solar Output
Wave Output
Demand

Results

Over the three-day simulation, the solar-only configuration achieves approximately 31% demand coverage. By adding wave energy, coverage increases to 70%—an improvement of 39 percentage points.

The number of hours requiring diesel backup drops from 72 to 56 out of 72 total hours. This reduction translates directly to lower fuel costs and reduced emissions.

Next Steps

The analysis demonstrates the principle: combining complementary renewable sources yields better results than optimizing any single source alone. The specific optimal mix varies by location.

Seanergy performs this analysis for any offshore location worldwide, using actual historical weather data and customizable demand profiles.

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