---
# System prepended metadata

title: Meeting notes

---

# Meeting notes

## 2020-06-08

### Meeting with BC Ferries.


- 70% of costs fuel.
- How can operation be improved


[Queen of oak bay](https://www.bcferries.com/onboard-experiences/fleet/profile-queen_of_oak_bay.html). Performance monitoring project.
TTsense, torque and thrust. 1min data. From august -19.


- Not a PhD project.

We want to save fuel.

Find relation from the data.

- Change heading no. of times. Relation with fuel.
- Manouvering phase.
- 




---

**Background.**

BC Ferries. Chawoo. Data from +6 months. Thurst, torque , etc. 

They are investigating the hull coating, reasoning behind the data gathering. We are open to explore the data, and they have a lot of questions. *Will have meeting with BC on Monday 1 PM.*

Tasks.

- Explore the data. Create explanatory statistics.
- Cluster the data. Especially in regions of interest, that is the manoeuvring. 

What I require from you. A report, in an IMRaD format.

- Background on the problem stated by BC.

- We have to define a research question.
  - Amount of fuel consumed.
  - Route.
  - Machinery onboard.
  - Emissions ... 
  - BC Ferries outlook.

- Method - clearly defined. Important that i can be replicated. Open source software, Python.

- Results. Aim for showing the results of the clustering and eventually efficiency indicators.

- Discussion.

    - Could it be best practises derived from the data. 

A clear and concise method, explaining all the tools used. The code should be attached in a neat format (well commented), can be in a Jupyter notebook format.