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>