Energy Monitoring

How Energy Monitoring Works?

Energy monitoring helps to save costs, set energy consumption targets and do financial data tracking. With Enetic’s smart solutions, energy monitoring has never been as simple.

We provide energy monitoring software and smart metering solutions. Merely understanding of how and where you use energy can bring in up to 15% savings without any capital investment. A typical energy monitoring system consists of 30-50 metering points in one or many locations. Various sensors measure electric energy, heat energy, steam energy, oil, gas and water consumption etc.

All measuring equipment is easily mountable into the existing infrastructure and does not require disconnecting or dismantling of production facilities. Sensors are connected over wireless industrial data networks (Modbus/ZigBee). Data is collected into SQL database by Mango M2M an industrial SCADA system.

Data presentation

energy monitoring

Data is presented and visualized in web based application Revise. Users can view the energy consumption in real time in units of measure or in cost. For analyses it is possible to compare data over different time periods and between different metering points. Alarms can be set to the certain levels of consumption that notify users by e-mail at the level crossing. No software needs to be installed at the user’s computer, the locally hosted solution is fully browser based. All software used is Open-Source and freely downloadable to keep investment low. Enetic is prepared to design and implement the project and deliver all required system components both hardware and software.


Why Measure Energy?

Businesses are feeling the pressures of rising energy and water costs. Electricity prices are increasing and open market price has been known to vary between eur 20/MWh and over eur 200/MWh. Traditional methods of managing these utilities are no longer sufficient for most industrial businesses to remain successful and competitive. Energy management systems are being used by many businesses to monitor, analyze and control energy use.

These systems help to achieve annual savings that typically range from 5 to 15 percent of energy costs. Typical payback on energy management systems is one year or less, and sometimes as low as a few months. Energy management systems help to make better purchasing decisions, to control the use of energy and forecast the impact of adding new equipment, or planning a plant expansion. The metering data is used to understand trends and recurring patterns, to determine which areas of the business are the largest users of energy, to measure results from energy reduction measures and to identify cost saving opportunities. energy management

Users have access to the data hourly or on a minute-by-minute basis. Multiple users can get access to the data any time they want. Most organizations are able to realize some energy cost savings by either shifting a portion of their energy use from one time of day to another or to find opportunities to reduce loads, particularly peak loads, during peak billing periods.

Using energy management system is possible to place the responsibility for managing energy costs with the people in the organization who can control the costs. Energy use can be measured in units such as kWh, but it is equally important to attach financial numbers to those units. Energy costs can be allocated right down to the product level if desired. Organizations are also able to make business decisions about taking on additional work or expanding facilities. They can accurately calculate the total energy cost and the impact on margins prior to making important decisions. Energy management systems that include tariff engines can be used to evaluate energy purchase alternatives. Different rate structures can be compared using the company’s actual energy use patterns. It is possible to make frequent energy use decisions when prices change. In most cases energy management systems provide also valuable information on operations.

The systems can be configured to analyze the data, find abnormalities in energy profiles and provide warning signals to take corrective action.


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