3 ways AI can support energy management
There are several ways that AI can be used to support energy management. Here are a 3 examples: Predictive maintenance Predictive maintenance (PdM) is a technique that uses data from sensors and other…
Read Full articleCase study: Monitoring and Targeting method applied in automotive industry
Case Study of the implementation of the Monitoring and Targeting method to optimize the heating system in a body shop of an automotive producer. Starting with an in-depth explanation of the methodology, the case study shows how the methodology was applied - from analytical findings to financial impact. According to HE Consulting, this methodology is an appropriate tool to achieve savings through…
Read Full Business PracticeHydraulic system - energy efficiency optimization
This paper describes the 4 step approach of KSB to optimize the energy efficiency of a hydraulic system. While focussing on the entire life-cycle, the aim is to lower operating costs. The approach starts with a system analysis to detect optimization potential and ends with usage of smart pump technology and services during operation - see also paper on industry 4.0 and smart pump technology. It…
Read Full Business PracticeThe Economic Impact of AI on Energy Transition: Financial Institutions at the Forefront of a Green Revolution
The global shift towards sustainable energy sources is one of the defining challenges of our time. While renewable technologies like solar and wind power have made significant strides, their…
Read Full articleUtilities and Governments are Wasting Millions of Dollars Subsidizing A Wrong Technology for Motor Systems Efficiency
According to the International Energy Agency (IEA), electric motor systems consume more than half of global electricity. Industrial electric motor systems account for over 70% of total global…
Read Full articleAutomatica 2018
Everything at automatica revolves around optimizing your production operation. The leading trade fair features innovative automation and robotics solutions with pioneering key technologies for all branches of industry. So you can manufacture…
Details4 case studies: how analytics deliver energy savings in pulp and paper industry
4 short case studies describing how PEPITe has used data analytics to reduce energy consumption in pulp and paper industry. Case studies cover the objective, the solution applied as well as benefits achieved including financials and project timelines. Areas of improvements are ranging from optimization of steam consumption to energy recovery.
Read Full Business PracticeCase study cement industry: increased fuel efficiency
This short case study shows how data mining has led to significant and recurrent savings in a cement plant located in Belgium. In this example, the fueling of the multi-step-heating process of production lines was analyzed and optimized. A good case to show that data analytics might be capable to deliver the next step in energy efficiency.
Read Full Business PracticeLoad Management of Industrial Systems
If a company wants to reduce its energy costs, its primary focus should be on reducing energy consumption. However, in many cases, companies can also realize significant savings by optimizing 1. Their energy consumption profile and 2. Their energy contract and purchasing strategy. Among other things, this paper will discuss various ways of adjusting consumption supported by practical examples.
Read Full Business PracticeJohn Deere - variable peak load compressor
Case Study about optimizing compressed air station to reduce idle times and increase energy efficiency better responding to variable peak loads. Helmut Rembert, Senior Facilities Engineer at the John Deere factory in Mannheim: “Once the turbo compressors are switched off, you have to wait at least twenty minutes for them to start up again. If you want flexibility, you have to run them idle from…
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