This article was published as a part of the Data Science Blogathon.
The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. A DG is a type of internal combustion engine that uses diesel fuel to generate electrical power. Major technology companies such as Google, Microsoft and Salesforce have been developing AI to perform all sorts of tasks away from the human sphere thereby reducing the time and effort required to attain the same.
Read more about the combination of AI & DG.
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Cognitive technologies like machine learning can be used to anticipate things that might happen in the future based on previous data, with enterprises using it for making predictions about what customers may want or stocks will plummet. Real-world use cases include catching fraudulent transactions in bank accounts or detecting ransomware attacks thereby limiting the damage caused. AI solutions also deliver better customer service experiences including chatbots or virtual assistants which can cater to client needs 24/7 rather than employees who work normal business hours.
A diesel generator is a type of internal combustion engine that uses diesel fuel to generate electrical power. Diesel generators are used in a variety of applications, including backup power for homes and businesses, as well as being used as the main power source in many off-grid locations.
Source: https://www.researchgate.net/profile/Maryam-Bayati-2/publication/338402353/figure/fig4/AS:844243123830790@1578294654417/PS-survey-spectra-of-DG-MoC-A-I-and-Pt-DG-MoC-A-II-catalysts-B-XPS-spectra-of-Mo-3d.png
The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. There are many potential advantages to using AI in diesel generators, including improved efficiency, reduced maintenance costs, and increased uptime.
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A diesel generator can be a lifesaver in many different situations. They are typically used as backup power sources in the event of an outage, but they can also be used while camping or during other activities where reliable power is not available.
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One needs to keep an eye on a wide range of variables in order to properly enhance DG set performance. Each of these variables has a unique role in the DG set’s optimization. Among the variables that need to be watched are:
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The quantity of energy a DG must deliver depends on the load it is under. When a DG is operated at less than maximum load, carbon deposits from inside the engine. The DG’s ability to produce electricity is reduced as a result. A DG’s efficiency is also decreased by overloading the engine, which shortens the engine’s lifespan and increases the engine’s wear and tears.
Source: https://www.mdpi.com/energies/energies-15-01007/article_deploy/html/images/energies-15-01007-g009a.png
One of the most crucial metrics to precisely monitor is the length of time the DG set has been operating. Operational hours are useful in understanding the usage patterns of DG sets because they are employed for a wide range of applications.
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Fuel needs to be regularly monitored in order to determine the DG’s overall efficiency, how fuel quality impacts performance, and whether fuel theft is taking place. Fuel directly affects how much it costs to run a DG set.
In order to preserve the engine from rusting, coolants are needed to maintain engine temperature. If the drop in coolant levels is not fixed right away, the DG overheats and might sustain irreversible damage.
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In DG sets, starting voltage is produced by batteries. Over time, the batteries degrade, which makes it difficult to start the DG set.
Companies worldwide and industries are currently employing AI to let machines take over some of the repetitive tasks they have on their plate, while still retaining human involvement. One example is automated Diesel Generators (DG set) of different voltage like 750 KVA, 1000 KVA, etc. Cognitive technologies like machine learning can be used to anticipate things that might happen in the future based on previous data, with enterprises using it for making predictions about what customers may want or stocks will plummet. One company that is using AI in its diesel generators is Cummins, which has developed an AI-powered diagnostic tool called Insite Pro. This tool is designed to help users troubleshoot and repair their generators more quickly and effectively. In one case study, a customer was able to reduce the time spent on repairs by 50% using Insite Pro. One needs to keep an eye on a wide range of variables in order to properly enhance DG set performance. Each of these variables has a unique role in the DG set’s optimization. Among the variables that need to be watched are Load, Operational Hours, Fuel Usage, Coolant, lube oil pressure, engine temperature, and Battery Status.
I hope you liked my article on using artificial intelligence in diesel generators. If you have any questions or suggestions on what my next article should be about, please write to me at [email protected].
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