Equal to the ski tourism sample above, such indirect effects are often not seen but can have a huge impact of the overall result of sustainability. As you may assume, you will find these kinds of surprises often if you look beyond your own garden.

Energy savings: the underestimated side effects of Predictive Maintenance


Therefore, we left our own garden and discovered new territory: We were looking for possible governmental subsidiaries, funds or benefits for development or application of Predictive Maintenance Solutions. And we discovered that the indirect effects of Predictive Maintenance open the door to governmental support for energy or CO2 savings.

Based on this, we reflected specifically how Predictive Maintenance makes its contribution to drive sustainability based on energy savings:

Starting a machine takes more electrical energy then continues operation. Specifically in the process industry a process re-start can be very energy intense, e.g. if a thermal process must be re-started. In many cases, the start-energy of the drive is only a small portion of the energy required to restart a production process. In the case of thermal processes, the impact is multiple.

If the service technician must travel by car or plane, each intervention avoided has a positive impact to the sustainability of your operation.

Research indicate that airplanes create 44 times more carbon dioxide than ships when carrying the same cargo over the same distance. Avoidance of breakdowns and catastrophic machine failures with subsequent emergency shipments avoids a CO2 footprint by factor 44 if you can use ocean freight.

If you are enabled to order spare parts in advance and only when needed, no parts must be on stock for breakdown situations. Consequently, no parts must be manufactured and shipped to be stored in the warehouse. Raw material resources and energy will only be consumed if the part is required.

Energy savings – difficult to count, important to consider


Many of these savings are indirect consequences of Predictive Maintenance and can hardly be quantified. You may review your own spare part inventory or requests for service technicians and contractors to get an idea about the indirect savings.

  • How many times in the last 24 months did you call a service technician because of an unplanned breakdown?
  • How many spare parts / which spare part value do you have on stock, which haven’t been used in the last 10 years? What’s the value?
  • How many times in the last 24 months did you have emergency shipments by airfreight of a spare part?

Predictive Maintenance take away

Besides the obvious benefits of Predictive Maintenance, it is the underestimated indirect impact on energy consumption which makes this technology even more interesting.

Are you ready to start your Predictive Maintenance journey? Find out more about our Predictive Maintenance Solutions here.

Interested in Predictive Maintenance?


All about Predictive Maintenance! Let´s stay up-to-date together with our blog which contains our latest knowledge and experience in developing and implementing Predictive Maintenance Solutions.

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