logo

SnapToPowerQuality: Protect Production Facilities from Power Quality Failures using Low-cost Clamp-on Measurements from the Outside of Existing Multiconductor Cables

Source: EU Funding & Tenders Portal

Project
Ended

PAIN: Loss of resources due to poor power PAIN: Loss of resources due to poor power quality in production facilities. The state-of-art solutions to identify the sources of failure are costly and difficult to install, which is the main problem to be solved. SOLUTION: We have solved what no one else have been able to do before; we measure power quality from the outside of existing multi-conductor

Project Information FAQ

Project Information

5 Q
The project "SnapToPowerQuality: Protect Production Facilities from Power Quality Failures using Low-cost Clamp-on Measurements from the Outside of Existing Multiconductor Cables" is an infrastructure initiative in the Advanced Electronics, Manufacturing (Industrial), Power Generation (CCGT), Commercial sector, located in N/A, Netherlands. Taiyo aggregates data from EU Funding & Tenders Portal, including information on sponsoring government bodies, EPCs, and contractors.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

PAIN: Loss of resources due to poor power PAIN: Loss of resources due to poor power quality in production facilities. The state-of-art solutions to identify the sources of failure are costly and difficult to install, which is the main problem to be solved. SOLUTION: We have solved what no one else have been able to do before; we measure power quality from the outside of existing multi-conductor cables. The core secret in our technology is to use mathematical models to map the “non-sense” data acquired by the clamp-on sensors into the actual power quality measures. The solution builds on top of the patented ReMoni solution, which is already used to monitor technical installations in commercial buildings, and the power quality analysis from TUE. We can thereby speed-jump to a patented solution running on an already tested and proven platform. The value proposition: + Clamp-on sensors which are easy to click on existing cables without breaking into the installations. + Self-learning AI analysis. + Inexpensive: Cost <10 % of the known alternatives. + Coherent solution. + Open data integration. MARKET: The main market segment is industrial production facilities, where 90 % of the saving potential is originated. The estimated European market potential is 13.6 billion €. It is dominated by the large equipment vendors, like Johnson Controls, Honeywell, and National Instruments. OBEJCTIVES: We will develop a patented clamp-on measurement and analysis platform to eliminate sources of power quality disturbance. This requires a combination of the: + Technical development of the clamp-on sensor platform. + Models of the power analysis implemented in the embedded and cloud software. + Integration into the existing industrial operation system. + Demonstration and integration into the business models for efficient industrial production. Impacts: + Avoid loss of production and energy. + Higher production stability. + Increased competitiveness of European production lines.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data