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ENERGY SAVING


as parameters are constantly changing.


Remote monitoring and data analysis is now central to optimising plant performance and increasing efficiency as part of an ongoing PPM programme. This in turn enables end users to achieve the best return on their investment by reducing the whole lifecycle cost of the plant. Modern maintenance programmes are tailored to support and protect each client’s key business asset by saving energy, boosting efficiency and reducing running costs. With an overriding commitment to help all clients save energy and reduce life cycle costs, Star has continually refined and improved its remote monitoring service over the past 20 years.


The latest smart technology has been incorporated to develop a unique aftercare service for users of industrial cooling across a wide range of sectors. Remote monitoring now has a critical role to play in asset management, helping to extend plant life, improve whole life cost and reduce client spend.


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Product Spotlight S


tar’s remote monitoring systems use sophisticated software linked to each plant’s PLC control system. Key operational data from maintenance customers can sent via broadband to a remote monitoring hub, where it is stored on dedicated computer servers. The system collects operational data including temperature, pressure, run times and plant status. Specialist software uses algorithms to produce insightful trends and graphs to accurately predict future plant performance and maintenance requirements. Remote monitoring services are managed for


industry-leading clients at a national Monitoring Hub, with regular live data analysis by Star’s expert engineering team. Senior engineers from regional maintenance depots dial in to the network on a daily, weekly or monthly basis to analyse data and check plant operation for local clients. As well as standard operational alarms, the system generates alerts when plant drifts from the manufacturer’s optimum design parameters. A low pressure alert for example may indicate a filter issue, which if left unchecked could have a detrimental effect on plant efficiency. When all data has been reviewed, including


trending graphs and alerts, a remedial task list or set of hints and insights is produced for client and field engineers to attend to during site visits. Task lists are focused on proactive maintenance activities such as technical adjustments, corrective actions and investigations to improve efficiency, reduce utility usage and save costs. On an annual or bi-annual basis, historical plant performance is


measured against the manufacturer’s optimum design parameters, with predictive maintenance undertaken to increase efficiency. Whilst all remote monitoring techniques are


undertaken to improve plant efficiency, software can also be configured with specific energy management protocols to optimise energy usage. By monitoring seasonal ambient temperatures, graphing climatic trends and analysing data, engineers can adjust controls accordingly to help keep equipment running reliably at optimum performance parameters all year round. Load shedding and electricity tariff management can also be employed to deliver substantial energy cost benefits to the client. Software allows plant control systems to switch off or shed load during peak periods without compromising temperature or production, to take advantage of reduced tariffs offered by energy suppliers. The future for remote monitoring now looks even brighter, with the development of new software to increase automation and reduce the need for manual engineer interface. Star has developed a new software programme for continuous monitoring of energy usage and automated data analysis. Developed by award-winning refrigeration consultants, field engineers and software experts, Ethos delivers strategic analysis of energy usage, with automated reporting on the technical adjustments required to optimise plant performance and efficiency. This web-based system provides 24/7 monitoring and automated analysis of operational data, identifying performance issues and recommending corrective actions for field engineers to implement to increase efficiency.


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