Solutions
Energy management
Energy management
The energy management developed by ICP DAS emphasizes “Access to electricity consumption information“, “Security of electricity consumption” and “Monitoring of renewable energy and energy storage systems“.
Why choose ICP-DAS?
ICP DAS offers comprehensive energy data collection solutions, from smart meters, data concentrators and smart controllers in the field to cloud-based facility management software. They have perfectly aligned product lines and solutions for energy data collection, facility monitoring and control, and in-house data analytics. These capabilities enable business owners to improve energy efficiency and reduce unnecessary losses by supporting ICP DAS while integrating elements such as remote management, data analytics and facility connectivity.
By taking this approach, companies can achieve a deeper understanding and better control of their energy consumption, enabling them to make informed decisions that optimise operations, reduce costs and promote sustainability.
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Classification and access to electricity consumption information is defined here as the monitoring of production equipment, motors, pumps, refrigeration and air conditioning systems, air compressors, heating equipment and lighting to provide information on the electricity consumption and status of individual circuits, and the automatic generation of reports by the system from which the information and status can be further integrated with MES and/or ERP systems for accurate unit cost calculations of electricity consumption. This information can also be further used as a basis for improving plant processes and preventive maintenance.
This approach not only enables detailed visibility and management of electricity consumption, but also provides valuable information for optimizing production processes, identifying opportunities for energy savings and implementing more efficient and proactive maintenance. This helps to reduce operating costs and increase overall plant efficiency and reliability.
Monitoring begins when electricity is delivered to the factory from the power company.
• Monitoring of transformers located in the plant for power safety is crucial.
• Monitoring the efficiency of energy use throughout the plant and achieving a balanced loop is essential for factory owners who really care about the cost of electricity. In such situations, they are particularly sensitive to whether capacity is exceeding contract terms and whether power factor (PF) balance is being achieved.
One of the most important indicators in power quality monitoring is the identification of voltage harmonic pollution. If the harmonic voltage seriously pollutes the electrical system, it can not only affect the power quality of the system, but also damage the electrical equipment or affect the normal operation of the equipment. Early identification and solution of harmonic pollution problems will fundamentally improve the reliability and efficiency of the factory’s electrical system.
ICP DAS believes that our professional and stable range of power metering products are the best choice for those involved in the industry to help understand their real needs from a practical point of view. Whether the source of their needs comes in the form of energy origin such as monitoring power generation efficiency and power quality in power plants, or the source comes from real data monitoring related to wind turbines, communication solutions after offshore wind farm data collection, monitoring green energy conversion efficiency from sources such as wind or solar power generation systems, voltage or current transformation, monitoring power stations and power cabinets, or getting other electricity related data and much more.
This wide range of solutions from ICP DAS enables users to gain deep insight and control over their energy systems, providing the data and analytics needed to optimize the production, distribution and use of energy in all areas of their business.
PRODUCT SERIES of ICP DAS
Industrial communications
IIOT - Industrial Internet of Things
Control systems
