EcoStruxure Hybrid DCS is the next generation process automation system for a digitized and energy-aware plant that meets the demands of modern day production. EcoStruxure Hybrid DCS is a single automation system to engineer, operate and maintain your entire plant. The system enables users to achieve operational profitability from design engineering through to plant operations.
This single automation system combines the management of field buses, instrumentation, intelligent devices, control networks, controllers, operator stations, engineering stations, alarm management in a common and single database. EcoStruxure Hybrid DCS is an essential component of EcoStruxure for Industry, interconnecting and managing all the components of the automation architecture. EcoStruxure Hybrid DCS supports standard field buses, instrumentation and best-in-class, intelligent, connected devices and at the heart of the system is a scalable and powerful automation platform.
EcoStruxure Hybrid DCS is based on open communication standards and system-wide Ethernet architecture, that interconnects the automation assets. It gives you access to all the data you need to optimize your business; in the form you need it. EcoStruxure Hybrid DCS harnesses the power of the Industrial Internet of Things to bring your plant into the future. It delivers everything you need to run a sustainable, productive and market-agile plant, from full process traceability to embedded energy management.
Engineers can develop and deploy configurations faster and more accurately; operators have the necessary data at their fingertips for better insight to optimize the process; maintenance teams are empowered with powerful native diagnostics to diagnose root cause of any issues and solve problems, thus reducing downtime. EcoStruxure Hybrid DCS helps you make the right decisions for your plant at the right time.
Delivers tangible value to your bottom line:
Reduce project execution time up by to 25%, up to $2.4M in extra production at launch
- Industrial production costs on average $20,000/ hr, so a 25% reduction in time to market on a 3-month project would be 3 weeks (ie, 3x40hrs) = $2.4M extra production
Improve profitable reliability - move towards 100% up-time, gain up to $2M in efficiency
- Moving from reactive to prescriptive maintenance can reduce unplanned downtime to close to zero. Downtime costs the average plant 5% of production*, so let’s conservatively assume increased maintenance maturity can reduce this to 2%
unplanned downtime. For a plant running 40 hours per week, 50 weeks per year at a cost of $20,000/hr, this increases profit by $1.2M/ year. In addition, maintenance staff could waste less time performing needless maintenance tasks
which could save the average plant up to $800K per year in maintenance costs**.
Improve operational profitability by up to 10%, revenues by 3% - gain up to $1.3M extra profit
- Accessing data and turning it into actionable business intelligence delivers enhanced process visibility, which can result in 0.5 to 3% of revenue improvement a year, and 3 to 10% of potential margin impacts. This can result in over $1.3M of annual bottom-line impact**.
Improve Energy Utilization – up to 30% reduction in process energy cost – save up to $1.8M/Yr.
- For example, large water treatment plants or industrial facilities can use up to 1.2Million kWH of electricity per year***. At an energy cost of 5 cents per kWh, this is $6.02M/ Year. Improving process energy use can yield savings of up to 30%, which translates to $1.8M in annual cost savings.
*Statements by ARC , **Data from Alinean , *** Water Research Foundation report