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  • More
    • Home
    • Dynamic Harmonisation
    • How DLH Works
    • Why DLH
    • Results and Savings
    • Savings Calculator
    • How savings are verified
    • Sectors we serve
    • Pubs/Restaurants Savings
    • Hospital Savings
    • Super Market Savings
    • Data Centre Savings
    • Hotel Savings
    • Cold Store Savings
    • SCC
    • Privacy Policy

Energy CO2 Save

Energy CO2 SaveEnergy CO2 SaveEnergy CO2 Save
  • Home
  • Dynamic Harmonisation
  • How DLH Works
  • Why DLH
  • Results and Savings
  • Savings Calculator
  • How savings are verified
  • Sectors we serve
  • Pubs/Restaurants Savings
  • Hospital Savings
  • Super Market Savings
  • Data Centre Savings
  • Hotel Savings
  • Cold Store Savings
  • SCC
  • Privacy Policy

Dynamic Load Harmonisation

Get in Touch

Datacentres Supermarkets Manufacturing Hospitals Hospitality

Dynamic Load Harmonisation

DLH is aimed at refrigeration and air conditioning and reduces energy usage and CO2 by 13%-40%

THE PROBLEM  

Refrigeration is Expensive In the food sector 50-60% of energy costs relate to refrigeration. Optimisation is an after thought.  

Refrigeration and cooling technology is based on mechanical optimisation and has not responded to the impact  of skyrocketing costs. Some sectors are technologically stale. Vendors provide refrigeration with maintenance support. There is a lack of innovation in technologies that could save money. 

Most large-scale cooling and HVAC systems in institutional environments operate on static control. They are programmed to meet "worst-case" peak loads, leading to:  

❖ Energy Waste: systems "hunt" (cycling on/off) unnecessarily during low-load periods 

❖ Mechanical Stress: frequent start-stop cycles shorten lifespan of expensive compressors and motors 

❖ Lagging Response: traditional systems react to temperature rises only after they occur 

Dynamic Load Harmonisation

THE SOLUTION – Dynamic Load Harmonization (DLH): Energy Optimisation through AI  DLH shifts your infrastructure from Reactive to Proactive management. Our software layer acts as a "24/7  Digital Engineer" that sits on top of your existing Building Management System (BMS).  

❖ Predictive Modelling: The AI maps dozens of variables including external ambient weather, internal thermal mass, and suction pressures to anticipate load requirements 

❖ Stabilised Operation: By making micro adjustments to setpoints, the AI prevents "energy spikes," resulting in a smoother, more efficient cooling /heating curve Subscribe  

❖ Asset Protection: Smoothing the operation reduces mechanical vibration and heat stress, extending the MTBF (Mean Time Between Failure) for core assets 

Energy CO2 Save

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