Digitalisation

Here’s How European Energy Companies See The (Near) Future

Two days at Europes premier energy conference, eurelectric 2017, reveal how utilities are rapidly adjusting — and looking forward- to a new era of opportunity. Three years ago, less than half of delegates of this conference saw an opportunity in decarbonisation. For this 2017 event, that number has climbed to over 80%. Tesla production capability needs to increase exponentially over the next six quarters in order to meet targets. This means 350,000 Model 3s alone need to be delivered in 2018, representing over 75% of all Tesla car sales in the year. That equates to a ramp-up in that is twice as steep as aircraft production during WWII. There could not be a more fitting illustration in terms of the birth and re-birth of an industry. But production alone is not the only EV headache: Laszlo Varro from the IEA illustrated the challenge inherent in which millions of people will habitually charge overnight charging patterns.

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Blockchain in the energy sector: Institutional disruption?
Digitalisation

Blockchain in the energy sector: Institutional disruption?

Blockchain technology has yet to prove that it can meet the (very high) expectations. It is a distributed, digital peer-to-peer register, which stores every transaction between two connected agents in a ledger. To create sufficient security for a Bitcoin.

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Cleantech startups: German utilities bridging the valley of death?
Digitalisation

Cleantech startups: German utilities bridging the valley of death?

In the period from 2006-2008 clean tech was one of the hot topics for venture capital funds. At the MIT Gaddy et al (2016) compared the data from clean tech with two other technology sectors: Software and Medical. From this data we.

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Can data analytics replace people in energy efficiency?
Digitalisation

Can data analytics replace people in energy efficiency?

Data analytics can identify potential customers where there may be energy efficiency opportunities. Existing load information cannot determine exactly what is creating the load pattern. analytics can only provide directional vs. actionable information. It will never be able to gauge the interest .

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Compressed Air: Energy efficiency at the top of the ComVac agenda (HM17)
Digitalisation

Compressed Air: Energy efficiency at the top of the ComVac agenda (HM17)

The latest edition of ComVac will be staged from 24 to 28 April 2017 in Hannover, Germany. 260 exhibitors will be there in halls 26 and 27 to shocase the current state of the art in industrial compressed-air and vacuum-.

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Digitalisation

Hydraulische Systeme - Optimierung Energieeffizienz

Kurzdarstellung des 4-Stufen Prozesses von KSB zur Optimierung der Energieeffizienz von hydraulischens Systemen. Mit einem Fokus auf den ges.

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Hydraulische Systeme - Optimierung Energieeffizienz

Digitalisation

Hydraulic system - energy efficiency optimization

This paper describes the 4 step approach of KSB to optimize the energy efficiency of a hydraulic system. It starts with a system analysis to detect optimization potential and ends with usage of smart pump technology and services during operation - see also paper on industry 4.0.

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Hydraulic system - energy efficiency optimization

Digitalisation

Industrie 4.0 und smarte Pumpentechnologie

Smarte Pumpentechnologie und smarte Serviceleistungen kommen zusammen. Dies geschieht basierend auf den wesentlichen Produkteigenschaften Vernetzbarke.

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Industrie 4.0 und smarte Pumpentechnologie

Digitalisation

Industry 4.0 and smart pump technology

This paper shows the IoT or industry 4.0 approach of KSB. It describes how KSB sees smart pumps and smart services coming together. The paper also contains links to further information on KSB website. Back to Mail Online home.

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Industry 4.0 and smart pump technology

Digitalisation

New - automated predictive maintenance using unstructured data

Warwick Analytics briefly describes their next level software developments leading to automated predictive maintenance. It also claims to solve implementation barriers like unstructured data or complex IT integration. The benefits of such tools like reduced downtime and a reduction of energy and waste is not new.

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New - automated predictive maintenance using unstructured data