Enhancing the sustainability of producing entails optimizing whole product lifecycles — from materials sourcing and transportation to design, manufacturing, distribution and end-of-life disposal.
Based on the Worldwide Vitality Company, decreasing the carbon footprint of business manufacturing by simply 1% might save 90 million tons of CO₂ emissions yearly. That’s equal to taking greater than 20 million gasoline-powered vehicles off the street every year.
Applied sciences akin to digital twins and accelerated computing are enabling producers to scale back emissions, improve vitality effectivity and meet the rising demand for environmentally aware manufacturing.
Siemens and NVIDIA are on the forefront of growing applied sciences that assist prospects obtain their sustainability targets and enhance manufacturing processes.
Key Challenges in Sustainable Manufacturing
Balancing sustainability with enterprise targets like profitability stays a prime concern for producers. A research by Ernst & Younger in 2022 discovered that digital twins can scale back building prices by as much as 35%, underscoring the shut hyperlink between useful resource consumption and building bills.
But, one of many largest challenges in driving sustainable manufacturing and decreasing overhead is the presence of silos between departments, totally different crops throughout the similar group and throughout manufacturing groups. These silos come up from quite a lot of points, together with conflicting priorities and incentives, a scarcity of frequent energy-efficiency metrics and language, and the necessity for brand new expertise and options to bridge these gaps.
Information administration additionally presents a hurdle, with many producers struggling to show huge quantities of information into actionable insights — significantly these that may influence sustainability targets.
Based on a case research by The Producer, 1 / 4 of respondents surveyed acknowledged that their information shortcomings negatively influence vitality effectivity and environmental sustainability, with practically a 3rd reporting that information is siloed to native use instances.
Addressing these challenges requires progressive approaches that break down obstacles and use information to drive sustainability. Performing as a central hub for data, digital twin know-how is proving to be an important software on this effort.
The Function of Digital Twins in Sustainable Manufacturing
Industrial-scale digital twins constructed on the NVIDIA Omniverse improvement platform and Common Scene Description (OpenUSD) are remodeling how producers method sustainability and scalability.
These applied sciences energy digital twins that take engineering information from numerous sources and contextualize it as it could seem in the true world. This breaks down data silos and provides a holistic view that may be shared throughout groups — from engineering to gross sales and advertising and marketing.
This enhanced visibility allows engineers and designers to simulate and optimize product designs, facility layouts, vitality use and manufacturing processes earlier than bodily manufacturing begins. That enables for deeper insights and collaboration by serving to stakeholders make extra knowledgeable selections to enhance effectivity and scale back expensive errors and last-minute adjustments that can lead to important waste.
To additional remodel how merchandise and experiences are designed and manufactured, Siemens is integrating NVIDIA Omniverse Cloud utility programming interfaces into its Siemens Xcelerator platform, beginning with Teamcenter X, its cloud-based product lifecycle administration software program.
These integrations allow Siemens to deliver the ability of photorealistic visualization to advanced engineering information and workflows, permitting corporations to create physics-based digital twins that assist remove workflow waste and errors.
Siemens and NVIDIA have demonstrated how corporations like HD Hyundai, a frontrunner in sustainable ship manufacturing, are utilizing these new capabilities to visualise and work together with advanced engineering information at new ranges of scale and constancy.
HD Hyundai is unifying and visualizing advanced engineering tasks straight inside Teamcenter X.
Physics-based digital twins are additionally being utilized to check and validate robotics and bodily AI earlier than they’re deployed into real-world manufacturing amenities.
Foxconn, the world’s largest electronics producer, has launched a digital plant that pushes the boundaries of business automation. Foxconn’s digital twin platform, constructed on Omniverse and NVIDIA Isaac, replicates a brand new manufacturing facility within the Guadalajara, Mexico, electronics hub to permit engineers to optimize processes and prepare robots for environment friendly manufacturing of NVIDIA Blackwell methods.
By simulating the manufacturing facility setting, engineers can decide the most effective placement for heavy robotic arms, optimize motion and maximize secure operations whereas strategically positioning hundreds of sensors and video cameras to observe the whole manufacturing course of.
The usage of digital twins, like these in Foxconn’s digital manufacturing facility, is changing into more and more frequent in industrial settings for simulation and testing.
Foxconn’s chairman, Younger Liu, highlighted how the digital twin will result in enhanced automation and effectivity, leading to important financial savings in time, value and vitality. The corporate expects to extend manufacturing effectivity whereas decreasing vitality consumption by over 30% yearly.
By connecting information from Siemens Xcelerator software program to its platform constructed on NVIDIA Omniverse and OpenUSD, the digital plant permits Foxconn to design and prepare robots in a sensible, simulated setting, revolutionizing its method to automation and sustainable manufacturing.
Making Each Watt Rely
One consideration for industries in every single place is how the rising demand for AI is outpacing the adoption of renewable vitality. This implies enterprise leaders, significantly manufacturing plant and information middle operators, should maximize vitality effectivity and guarantee each watt is utilized successfully to stability decarbonization efforts alongside AI development.
The most effective and easiest technique of optimizing vitality use is to speed up each doable workload.
Utilizing accelerated computing platforms that combine each GPUs and CPUs, producers can considerably improve computational effectivity.
GPUs, particularly designed for dealing with advanced calculations, can outperform conventional CPU-only methods in AI duties. These methods will be as much as 20x extra vitality environment friendly on the subject of AI inference and coaching.
This leap in effectivity has fueled substantial good points over the previous decade, enabling AI to handle extra advanced challenges whereas sustaining energy-efficient operations.
Constructing on these advances, companies can additional scale back their environmental influence by adopting key vitality administration methods. These embrace implementing vitality demand administration and effectivity measures, scaling battery storage for short-duration energy outages, securing renewable vitality sources for baseload electrical energy, utilizing renewable fuels for backup technology and exploring progressive concepts like warmth reuse.
Be a part of the Siemens and NVIDIA session on the 7X24 Trade 2024 Fall Convention to find how digital twins and AI are driving sustainable options throughout information facilities.
The Way forward for Sustainable Manufacturing: Industrial Digitalization
The following frontier in manufacturing is the convergence of the digital and bodily worlds in what is called industrial digitalization, or the “industrial metaverse.” Right here, digital twins grow to be much more immersive and interactive, permitting producers to make data-driven selections sooner than ever.
“We’ll revolutionize how merchandise and experiences are designed, manufactured and serviced,” stated Roland Busch, president and CEO of Siemens AG. “On the trail to the commercial metaverse, this subsequent technology of business software program allows prospects to expertise merchandise as they’d in the true world: in context, in gorgeous realism and — sooner or later — work together with them by way of pure language enter.”
Main the Method With Digital Twins and Sustainable Computing
Siemens and NVIDIA’s collaboration showcases the ability of digital twins and accelerated computing for decreasing the environmental influence attributable to the manufacturing trade yearly. By leveraging superior simulations, AI insights and real-time information, producers can scale back waste and enhance vitality effectivity on their path to decarbonization.
Be taught extra about how Siemens and NVIDIA are accelerating sustainable manufacturing.
Examine NVIDIA’s sustainable computing efforts and take a look at the energy-efficiency calculator to find potential vitality and emissions financial savings.
