At a Glance
Goals/Targets, Industrial Energy Efficiency, Sustainability and Energy Management Strategy
Hassan Nadeem worked with AT&T’s 5G Center of Excellence team to develop the business strategy for incorporating the sustainable value proposition of 5G and IoT deployment in manufacturing environments.
AT&T’s 10x goal calls for enabling carbon emission savings 10 times its own footprint. Since manufacturing is a major emissions contributor, AT&T identified an opportunity to digitize manufacturing through its 5G and IoT offerings, and simultaneously enable customer innovation in sustainability.
Hassan was tasked to identify potential manufacturing use cases for 5G and IoT deployment and develop a toolkit to estimate associated environmental benefits. Furthermore, to engage customers on the positive environmental outcomes, Hassan was also required to develop collateral for driving business development for the 5G team.
After consultation with numerous industrial experts, Hassan explored and analyzed 20 use cases across a variety of industries and interfaces. He focused on 5G and IoT applications that (through reduced latency and higher bandwidths) unlock new operational efficiencies across production asset management, manufacturing operations, instrumentation and electrical, and quality management. The quantitative excel model he developed takes as input key operating information, such as fuel/electricity consumption, and calculates energy, resource, emissions, and costs savings.
In order to maximize the use of this exercise, he also undertook a market study to identify key market trends and developed a business strategy for prioritizing the sustainable value proposition of 5G and IoT in commercial project design.
Manufacturing firms are some of the largest polluters and emitters of greenhouse gases. With 5G, the scale and scope of IoT deployments is going to transform manufacturing into smart factories. Thus, there is a unique opportunity to enable sustainable operations by focusing on use cases that result in both profitability and positive environmental outcomes. While the exact impact depends on individual customer operations, a typical conditional monitoring application on industrial pumps can save up to 1600 MT in carbon emissions and $150,000 U.S.D. in costs annually.