Encore SeriesTM enables users to understand and manage energy consumption. Understand And Better Manage Energy Consumption To succeed in today’s fiercely competitive business environment, companies must reduce both production and service costs. Since energy represents a significant portion of these costs, energy management becomes a key factor in cost reduction. The ES Series Energy Management DataNode’s® are designed to help you manage energy consumption. The ES210 and ES220 DataNode’s measure more than 60 parameters, including true RMS voltage and current, kW, kVA, KVAR, power factor, frequency. The ES230/ES230s DataNode’s add Vthd, Ithd and individual harmonics to the 15th. ES Series DataNode’s are available in the standard DIN96 or DIN144 sizes and can be used as stand alone panel meters or, by adding an available Ethernet or serial interface the ES Series can be used with web browser based Encore Series Software for remote access to real time and recorded data. Track Power Flow And Energy Costs Reducing consumption during peak times or shifting loads to off-peak times can save a typical commercial or industrial facility from ten to fifty percent annually on energy costs. By monitoring energy consumption on a continuous basis using the ES Series DataNode, energy and demand data can be gathered for an entire facility and at key consumption points including energy-intensive processes and key machinery. The ES Series DataNode is part of Encore Series Software, which automatically plots and trends this data to develop daily, weekly, monthly or yearly load profiles. Encore Series Software can also alert the user to shed loads before a new demand level is reached. The available Energy Usage Answer Module® enables Encore Series Software to aggregate energy from multiple points, compute costing information and provide other advanced energy reports. This information can be reconciled with operating data from other systems, including building automation and process control, to understand how variations in facility operations affect the load profile and electricity bill. Facilities armed with load profile data are better positioned to negotiate energy purchase contracts. Data from the ES Series DataNode can be used to develop a price/risk curve for evaluating options such as fixed, time-of-use, and real-time pricing plans. Without this data, a facility might incur much higher energy or peak-demand charges than necessary, or carry more than the appropriate level of risk. Evaluate Energy Reduction Strategies When and where electricity is consumed is invaluable information to have when developing energy reduction strategies, which can include lighting upgrades, HVAC replacement, installation of high efficiency motors and/or adjustable speed drives and other cost saving measures. The data provided by the ES Series DataNode arms the user with the information necessary to understand your facility, its loads and energy usage profile. This information, combined with your local utilities rate structure enables you to intelligently target areas of your facility in order to provide the best return on your energy reduction budget. Not only can you reduce your overall energy usage but utility charges such as power factor penalties and time of use demand penalties can be targeted for reduction by mitigating such problems or shifting loads to less expensive times of the day.
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Aggregated Energy Expense , usage and cost for all DataNodes or monitoring instruments for a given time period
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Energy Expense , energy use for a particular DataNode for a specific time period compared to rate structure
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Energy Usage Comparison , energy use for a specific monitoring location for various time periods against a specified reference period
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Operating environment , Installed in any InfoNode or Encore Series Software
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Input data , Accepts energy usage and demand data from any DataNode. User must input rate structures and peak off peak consumption and demand parameters
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Aggregated Energy Expense usage and cost for all DataNodes or monitoring instruments for a given time period
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Energy Expense energy use for a particular DataNode for a specific time period compared to rate structure
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Energy Usage Comparison energy use for a specific monitoring location for various time periods against a specified reference period