RPW Self-learning EnOcean based solutions that take simple zone control into the future
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RPW Self-learning EnOcean based solutions that take simple zone control into the future

Author Dene M...
Moderator
#1 | Posted: 14 Feb 2018 18:57 | Edited by: Dene Matthews  
Since the launch of BMS we have only seen small advances in automated time management, technology requires either high tech integration or it is too expensive for the mass applications in simple buildings. Simple systems (Optimiser/Compensators) and its users still need to set occupation patterns, these take time to administer if being accurately managed and often there are schedules per building or zone meaning some rooms are heated perhaps without anyone using the room, these are heated as a consequence of heating the ones you we need. Yes - we could have occupation sensors or added zone valves but may not quite fit the bill with all or can be prohibitive to install due to cost.

Heating within student accommodation for example presents other issues in that use can be highly irregular and at very different and shifting scenarios and can involve lots of wiring to maximise savings such as windows or doors being left open.

Using the new RPW room controllers from Kieback and Peter we can adapt an individual room to its actual usage automatically, it can be linked to valves directly and can also be monitored by a BMS via a wide range of complimenting gateways from Thermokon to provide even more savings and features.

Users on a simple RPW can have options for setpoint change and the devices can also be used to save energy by dropping the target temperature during periods of non-occupied use. These savings can be significant in locations such as accommodation or lecture rooms. The RPW controller will optimise the heating to match the demand of the user more accurately as it learns. User are provided a direct override and a full clear interface that is self-charged by sun-light but will also run on its own internal batteries for 3 years minimum.

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