It is interesting how when you are move into discomfort, you may do things unimaginable. Solenes’ main growth has been on the energy side of the equation. Specifically on how the energy is consumed and how the utilities services are generated. On that equation you have, Energy coming in and a utilities service coming out. For example: electricity coming in and chilled water coming out. Or fuel oil coming in and steam coming out. But today we were moved into a different direction. Full operation. We have operated facilities from different customers but usually it is on the transformation of energy into a utilities service. Now is from a fuel source to generate electricity, steam or chilled water. This is called Combined heat, cooling and Power (CCHP).
The innovative approach is how to operate such a small scale operation without having way too many people overseeing it. The key here is to have the right personnel with the right skills, the right knowledge, with the right tools for them to make the best decisions at all times. This is where you juggle with knowledge, resources and tools to make this happen. For instance, you have 4 operators to run a 24/7 operation. Typically the problems occur on weekends and at 3:00 am. Therefore, the operators need extended support that would guide them at all times. Usually you place an engineer with some kind of experience to support the operators 24/7. Taking the “Maytag” example, you would have an engineer most of the time idle without having much to do except to look into a screen for patterns. This is where technology comes in. Either remote monitoring or artificial intelligence or a combination of both shall enhance and promote the realtime monitoring and decision making of complex systems that have the criticality to operate nonstop or at high reliability standards. This is something worth exploring into how the big data gathering could provide a forecast on the equipment performance in order to promote efficiency, and reliability on complex and costly systems.
The idea is to use the big data gathered and send it to an expert to analyze it or use artificial intelligence algorithms to forecast problematic situations in your equipment. In either case, there is a need to understand the information being suctioned from the big data. This can be overwhelming for someone but the artificial intelligence technology can trigger subtle operational changes that may prevent catastrophic failures. Even can forecast operational problems sooner than Predictive Maintenance activities.
In any case, the path forward is to use the operators not to just oversee the operation but to assure that it is running at the most efficient, effective, and safe manner. Solenes has the capability to either operate a CCHP system using the conventional or using the innovative approach. Contact us to show you the best approach that fits your needs.
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