A study done by Department of Energy (DOE), United States on “Energy uses & loss in manufacturing plants” reveals that system loss result in energy waste anywhere from 6% to 40%. Some key areas are:
It is difficult to accurately measure these energy losses, primarily due to lack of adequate sensors placed in the system and due to faults in reporting systems. If captured accurately, there is a huge scope to improve energy efficiency of the entire plant. Most manufacturing plants have a range of SCADA and reporting systems each of which focus on one step in a larger manufacturing process.
Traditional methods are inefficient, costly, labour intensive and take a long time to produce results. Also, data is stored only for a limited time period (like 1 day or 1 week), and is not directly correlated to production or output.
“Smart IoT systems” – A key to energy management
An array of technologies including Radio-frequency Identification (RFID), wireless sensors, high speed internet and cloud infrastructure can play a pivotal role in energy management. We need to leverage these technology changes to increase energy efficiency.
There is tremendous untapped potential to drive energy efficiency by analysis of manufacturing plant’s data. Innovative & intelligent technologies like the Internet of Things (IoT) and data analytics are emerging to solve energy management problems in the industrial settings.
This intelligence can help manufacturers overcome the challenges associated with implementing energy conservation programs due to an inability to get their hands on meaningful data (which can be a few milli-seconds to hourly logged data) and get an operational insights to minimize the energy consumption.
Algo Engines is involved in analysis of energy data in the IoT space. We offer a SaaS based platform for energy analytics with a focus on renewable energy generation systems.