Seamless Process Automation Limited

Power and Energy Data Logging | Kenya

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Power and Energy Data Logging

Helping industries monitor and control energy consumption through efficient power and energy data logging solutions

LOGGING CAPABILITIES

Our power and energy data logging solution comprise of energy meter, data logger (server) and / or webserver. They make it possible to measure, store and retrieve historical data for upto 3 years. The power and energy parameters logged are voltage, current, KW, KWh, KVA, Power Factor, frequency etc

Benefit

Portable Power and Energy Logging Solution

Seamless Process Automation Limited supplies portable power and energy data loggers suitable for mapping electrical usage on site, determine real-time energy consumption and analyse electrical power quality

We offer data loggers for best manufacturers including

  1. Fluke
  2. Chauvin Arnoux
  3. Gemini
  4. Circutor
power and energy data logging

Typical Applications

  1. Measure energy efficiency, identify areas of potential savings
  2. Monitor individual consumption and assign energy costing within sub-sections / departments
  3. Identify peak demand instances and find opportunities for reducing surcharges
  4. Determine current load capacity (avert unnecessary cost on upgrades)
  5. Enable fast fault finding in electrical systems
  6. Monitor power availability and reliability of utility company

Conduct Data Logging in a Demanding environment with the right tool

Monitoring, logging and analyzing data from loggers help identify critical areas efficiently. This approach can not only enable electricians to narrow in on the electrical faults and / inefficiency but also provide accurate measurement of energy savings achieved over time.

Energy Data Logged

Graphical Monitoring

Logged power and energy data is accessed by connecting directly to a device and / or web browser on a computer. Through interactive software tools, it is possible to combine and compare data or focus on specific point

energy graph

Historical Data Analysis

Common data analysis include peak demand, baseload analysis, harmonics, power factor among others

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