E-MON D-MON Metering Applicatons
Demand Analysis & Load Control
Users are billed high kilowatt demand rates for an entire month or multiple months even if the demand only occurs for a 15-30 minute period during a given month. The key to avoiding these exorbitant costs is to identify peaks in usage and proactively take steps to reduce those peaks. Graphic profiling of individual or aggregated loads will pinpoint peak usage areas or equipment. With this data manufacturers are able to employ load controlling devices to set high/low thresholds, control loads and reduce energy costs.
Production Run Allocation
Submetering allows manufacturers to identify exact energy costs by production line, production run, individual piece of equipment or the entire facility. This data enables manufacturers to accurately allocate energy costs to individual products or customers, avoiding estimation errors while increasing profitability. For manufacturers that produce multiple products, this data is key for creating accurate costing models and profitable price levels.
Departmental Allocation
Manufacturing facilities often have more than just production areas within their facility; accounting, testing, engineering, quality control or maintenance departments may be present. Monitoring energy usage of non-production departments allows businesses to drill down on energy usage to identify exactly how, when and where energy is used within their facilities. In addition to separating production from other departments, businesses can allocate energy costs to these departments, ensuring accurate budgeting and increased energy efficiency.
Equipment Maintenance
As the cost of doing business increases and budgets are more constrained, it is more important than ever to avoid production interruptions and costly equipment replacement. Submeters can be installed on key pieces of equipment to monitor usage and identify potential failures. This allows facility managers to take proactive steps to schedule repairs before the equipment fails, thus avoiding costly and unexpected downtimes
