Marc Energy Software – Cloud

Lumel Marc Energy Software is a cloud based next generation energy data analytics platform for demand side management of energy loads and process parameter monitoring.

Description

Lumel Marc Energy Software is a cloud based next generation energy data analytics platform for demand side management of energy loads and process parameter monitoring.

Lumel are the producers of automation devices for measurement, control, transmission and visualisation of various industrial processes. They also provide Services of designing and manufacturing of automation systems.

Since 1954 Lumel brand has been known as a producer of quality measuring devices and high-pressure die-casting all over the world. Their high position in the market has been achieved thanks to continuous development, employees and modern technology in areas of research, design and production. Lumel delivers complex solutions for power and industrial automation sector as well as for automobile, chemical, steel, or HVAC industries

Their objective is to provide comprehensive solutions by designing intelligent systems based on the electronics Lumel manufactures, which are measuring and regulating equipment for industrial, automotive and military applications, as well as through service production of electronics.

View more Lumel products.

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The Marc energy Software is designed to handle quantitative and qualitative data to provide users with an in-depth analysis and insight into their load systems enabling them with possibilities for optimisation, energy OPEX savings and building efficiency in their load networks.
The additional value provided by the system is its problem diagnosis engine based on the trends and data mining of historical data in cloud of an asset preventing expensive downtimes and breakdown of machines, motors, transformers and other loads.

Benefits of March Energy
► Reduction in energy OPEX costs
► Directly increase profits by saving on energy expenses
► Overall equipment efficiency
► Achieve maximum efficiency of the equipment by tracking the power quality
► Complete power quality analysis
► Eliminate failure of equipment to reduce the loss
► Identification of downtime of assets
► Know when the equipment was down and analyse it to improve it