Energy Managers & Application Managers

Energy Managers & Application Managers

Energy managers and application managers are specialized computing and recording devices that convert measured process variables into energy and application outcomes - turning flow, temperature, and pressure into quantified energy content for liquids and steam. Endress+Hauser positions these devices to support energy optimization, noting that heating and cooling are energy-intensive and that, depending on industry, energy costs can reach up to 40% of total industrial production costs - making accurate recording of energy flows foundational to improvement programs.

Beyond measurement, these devices provide the calculation, logging, and reporting layer needed for decision-grade energy and material balances. They support high data security, document results and reports centrally, and maintain logbook-style records of error messages and parameter changes with date and time - capabilities that matter when energy KPIs are tied to cost allocation, compliance targets, or contractual performance.

The category spans multiple application focuses. The EngyCal RH33 and EngyCal RS33 provide heat metering for liquids and steam calculation using inputs for flow, temperature, and pressure. The Memograph M RSG45 can extend into energy applications via an energy package for mass and energy flow calculations in water and steam. Related application managers address batching (RA33) and bunkering (SBC600), and the portfolio also includes flow computers supporting event logging, parameter logging, and reporting for demanding custody-transfer contexts.

Typical applications include chilled-water and hot-water loop metering, boiler and steam distribution efficiency monitoring, process heat recovery validation, utility billing/allocation, and verification of energy savings initiatives. Application-focused variants support precise dosing with compensation functions in batch operations, and high-integrity reporting where transfer documentation must be repeatable and defensible.

Design success depends on getting the measurement chain and calculation assumptions correct: sensor placement, calibration strategy, density/steam-property method selection, and definition of reporting intervals and reconciliation logic. Interfaces to automation and information systems should be planned to preserve traceability from raw measurements through calculated totals, with clear handling of power interruptions, time sync, and cybersecurity boundaries between operational networks and reporting endpoints.

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