Combustion Optimisation Improves Energy Efficiency

Emerson is expanding its energy management portfolio with technologies and services that help companies and municipalities convert low-cost waste and biomass into renewable energy more efficiently. Emerson Process Management's technology and plant automation and control solutions are helping customers convert biomass or waste fuel - whether waste gases from a petroleum refinery, hydrogen from a chemical plant, biogas from potato waste at a food processing plant, or wood waste from a pulp mill - into steam and electrical power.

The company's combustion optimisation technology uses Model Predictive Control (MPC) and other algorithms to determine the heat release of biomass and waste fuels. With this capability, the combustion can be optimised to the highest potential efficiency and the waste fuel can be maximised to minimise the cost of energy and reduce emissions. Seattle Steam, a district heating facility that provides heat in the form of steam to 200 buildings and hospitals in Downtown, the central business district of Seattle, US, turned to Emerson's combustion optimisation technology when it decided to rely on low-cost urban wood waste to provide energy for the Downtown area.

Emerson's energy solution includes biomass and waste fuel combustion optimisation technology that provides automatic, real-time process adjustments based on changing quality and availability of alternative fuels, costs of alternative and fossil fuels, emissions, and process constraints. The company also provides energy monitoring and controls to spot unusual energy usage, identify opportunities to improve energy efficiency and manage operations based on real-time energy costs.

In addition, Emerson utilises its wireless measurement technologies in its energy management programmes to reduce the installed cost of monitoring instruments and to allow measurements in tougher places. In fact, wireless measurements are being installed at approximately a third of the cost of traditional hardwired implementations.

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