Abstract
This handover report documents work that was carried out as part of the Turing Innovation Catalyst Collaborative Research and Development Project undertaken by the University of Manchester and GrafMarine.
Aim of the Project: The primary objective of this project was to assess the potential for solar energy capture and storage onboard vessels. A simulation algorithm was designed to understand how solar energy is captured, stored in batteries, and discharged during the voyage across a route with certain number of port calls. The project also explored the impact of different variables such as daylight hours, weather conditions, and the power demands on the solar energy captured, energy discharged from battery and battery level during different sailing legs.
Aim of the Project: The primary objective of this project was to assess the potential for solar energy capture and storage onboard vessels. A simulation algorithm was designed to understand how solar energy is captured, stored in batteries, and discharged during the voyage across a route with certain number of port calls. The project also explored the impact of different variables such as daylight hours, weather conditions, and the power demands on the solar energy captured, energy discharged from battery and battery level during different sailing legs.
| Original language | English |
|---|---|
| Place of Publication | Manchester |
| Publisher | University of Manchester |
| Number of pages | 8 |
| Publication status | Published - 20 Jan 2025 |
