18.11.2021 Aufrufe

HANSA 10-2020

Schiffstechnologie der Zukunft | Leichtbau | Review Compit 2020 | HANSA Engine Survey 2020 | Ihatec-Bilanz | LNG-Umbau Münsterland | Mega-Yachten & Werften | Havarie Peter Pan | Fährschifffahrt

Schiffstechnologie der Zukunft | Leichtbau | Review Compit 2020 | HANSA Engine Survey 2020 | Ihatec-Bilanz | LNG-Umbau Münsterland | Mega-Yachten & Werften | Havarie Peter Pan | Fährschifffahrt

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Schiffstechnik | Ship Technology<br />

»We try to be extremely prudent«<br />

Clean technology company Silverstream is growing despite the Covid-19 crisis as fuel<br />

saving technology, such as air lubrication, stays in demand. CEO Noah Silberschmidt bets<br />

on thorough testing and transparent evaluation methods as well as artificial intelligence<br />

Noah Silberschmidt<br />

© Silverstream<br />

In 2016 you won the <strong>HANSA</strong> Maritime<br />

Innovator Award for successfully commercializing<br />

the Silverstream air lubrication<br />

system – how are things today?<br />

Noah Silberschmidt: We started commercializing<br />

our system about two years<br />

after we did the first pilot with Shell on<br />

an MR tanker in 2014. Then we looked<br />

through two years of data to do in-service,<br />

all weather conditions performance<br />

analysis in the worst conditions in deep<br />

draft only. The first pilot installation got<br />

5 % fuel savings in service. Even under the<br />

least favourable conditions we had 5.1 %<br />

savings in all drafts and weather scenarios.<br />

Since then, we have changed and optimized<br />

the system, for example we use a<br />

different design of air release units in the<br />

flat bottom of the hull. We have also redesigned<br />

the configuration and were able<br />

to half the number of compressors compared<br />

to 2016. We have an automation system<br />

that is more intelligent, taking into account<br />

the different operating conditions.<br />

We are continuing to develop our technology<br />

for example by doing software updates,<br />

and we are working on using our<br />

data and artificial intelligence. We are<br />

looking at patterns in our data because<br />

we want to be able to optimize in-service<br />

in real time. You always have some variety<br />

when you are on the high seas, but that<br />

is why we want to use AI, also because we<br />

want to find out these performance patterns<br />

at different drafts, speeds etc.<br />

What we have figured out after we<br />

worked with Southampton University for<br />

three years is that our data lends itself very<br />

well to optimization using artificial intelligence.<br />

On board, we have an automation<br />

system that communicates directly with<br />

the vessel computer and then directs orders<br />

based on vessel speed, draft and outside<br />

weather scenario to our compressors.<br />

It would be very interesting to use<br />

this data we get from different vessel classes<br />

and weather patterns and put that into<br />

our operation model. Ideally, we can provide<br />

the owner with a better performance<br />

the more in-service data we get from him.<br />

A variety of companies have over the<br />

last 50 years tried air lubrication without<br />

much success. We try to be extremely<br />

prudent in how we are doing the performance<br />

analysis. We are typically agreeing<br />

with clients upfront how the sea trial<br />

procedure will take place, so that we are<br />

afterwards <strong>10</strong>0 % in agreement of how the<br />

tests are done. If that is not defined beforehand<br />

then you can look at number afterwards<br />

and pretty much get the sea trial to<br />

fit the purpose. Instead we very much be-<br />

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54 <strong>HANSA</strong> – International Maritime Journal <strong>10</strong> | <strong>2020</strong>

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