Energy IoT in Manufacturing
Energy IoT in Manufacturing
Bridging digital assets and physical resources
Climate change has forecasted disastrous environmental and economic effects. In the recent global debate, energy efficiency is promoted as a central flagship initiative creating a resource efficient and low-carbon emitting economy. Seeing that shrinking operating margins essentially makes one of the top challenges alongside environmental awareness, cost efficiency is evidently the only logical solution to date.
Manufacturing facility comprise of a multitude of systems from facilities to production floor, each typically with only piecemeal optimization. Manufacturing plant operators need to maintain a high-level business continuity while striving to reduce energy cost in their operation driven by factors mentioned above. As such, the visibility of relevant real-time information and insights at a systems-of-systems level will help operators greatly in making the best energy-efficient decisions.
Cost structure of a typical manufacturing operation was thoroughly examined and the following major challenges in solving energy efficiency were identified:
· Energy wastage due to manufacturing process deficiencies
· Energy measurement inaccuracy due to improper/inefficient data collection, processing and reporting methods
· Energy consumption ownership issues due to lack of energy visibility and lack of data capture at sub-system level
As mentioned above, energy optimization is currently managed using piece-meal approach. Overall energy efficiency across different infrastructure systems (i.e., facility, IT system, environment, production floor) is often unknown due to the energy conversion complexity between each system, thus unable to provide energy insights to the operator. Traditional hardware solutions focus more on silo energy optimization, which could improve energy efficiency in one component or system, but fails to optimize energy efficiency at the overall systems-of-systems level.
With Internet-Of-Things (IOT), boundaries between digital assets and physical resources are no longer separate. Smart embedded devices are blurring the boundaries by reconnecting physical assets with digital assets, unlocking a wealth of new information that can be used to optimize for energy efficiency at the overall systems-of-systems level.
To enable systems-of-systems optimization, data supply chain management is extremely important. Traditionally, data ecosystems are complex and littered with data silos, limiting the value organizations can extract from their own data by making it difficult to access. To maximize the new wealth of data coming in from IOT devices, enterprises must start treating data more as a supply chain by making it easily accessible, using big data analysis to unlock actionable insights and enabling data to flow easily and usefully through the entire organization.
Author: Ted Chen. Product Architect of Evercomm. To contact the author please email firstname.lastname@example.org