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SENERQON Launches Two New Energy Optimization Projects for Koronakis S.A. in Thiva

  • Jan 15
  • 1 min read

SENERQON is pleased to announce the launch of two new Electricity Savings & Electrical Installation Performance Optimization projects for Koronakis S.A., covering two independent manufacturing facilities operating at the same industrial location in Thiva.


Although the factories are located within the same site, each facility operates with a separate electrical supply. For this reason, SENERQON is treating the assignment as two distinct engineering projects, each with its own analysis, modelling, and optimization strategy.


Project Kick-off and Measurements Phase


The projects have officially commenced, and on-site electrical measurements are currently underway at both facilities. This initial phase is essential for capturing the real electrical behavior of each installation and forming the basis of the upcoming scientific study.


During this phase, SENERQON’s engineering team is performing:

  • Detailed measurements of electrical loads

  • Power quality and system performance assessments

  • Data collection required for AI-based modelling and advanced simulations


Scientific Methodology and Next Steps


The measurement data collected will be used to develop scientific models tailored to each factory, enabling SENERQON to accurately identify inefficiencies and design custom-engineered interventions.


The next stages of the projects will include:

  • AI-driven modelling and advanced simulations

  • Engineering design of optimization solutions

  • Implementation aimed at improving energy efficiency, power quality, and operational reliability


A Trusted Engineering Partnership


The assignment of two independent projects reflects Koronakis S.A.’s trust in SENERQON’s engineering expertise, scientific methodology, and proven track record in complex industrial environments.

Further updates will follow as the projects progress through analysis, modelling, and implementation stages.


SENERQON — Turning Engineering into Verified Performance




 
 
 

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