Case studies for improved productivity and quality control for steam users
We are focused on improving productivity and quality control for steam users, industry leaders and OEM's. Our work spans a wide range, providing our sensing and monitoring solutions at NHS sites in the UK and as far and wide as tea plantations in East Africa. We understand that each industry is different. Therefore, each sensor is programmed to monitor specific components in relation to the type of equipment, giving you the precise data required. By making use of the whole system approach, we have helped customers understand how their whole system works collectively. You can read through our case studies to see specific examples of how versatile our equipment sensors are.
Whether you are a partner, a re-seller or direct client, our sensing & monitoring solutions aim to improve the quality of the final product, maximise energy performance and reduce running costs.
African tea processing industry seeks sustainability and efficiency improvements with DCO Systems
Black tea processing is energy extensive. Volatility in world oil prices led to many factories switching from oil to biomass (especially wood) to fulfil their steam generation requirements. While this led to a reduction in fossil fuel costs, factories face new pressures. Costs, environmental impact and sustainability of their fuel sources are of concern. The need to identify areas of waste and improve efficiency is more important than ever. READ MORE
How hospitals use real time monitoring solutions to improve performance
Hospitals rely on a sound infrastructure to deliver critical services. Given the high demand for heating and hot water, maximising equipment performance is vital. With the UK Government’s target of a 34% carbon reduction by 2020, the NHS and their partners are seeking new ways to improve their steam boiler equipment. Working together, we deployed our real-time monitoring solution throughout an energy recovery system. READ MORE
Our sensing devices in these organisations currently monitor the following
