Predictive Maintenance

Unlocking Millions: Pump Energy Efficiency Optimisation with Sulzer’s Advanced Analytics

Unlocking Millions: Pump Energy Efficiency Optimisation with Sulzer’s Advanced Analytics

Industrial pumps could save millions in energy costs. Sulzer reveals how analytics, upgrades, and smart design unlock huge efficiency gains. Why Energy Efficiency Matters More Than Ever Industrial energy prices have surged since 2022, driven by global events and record-high natural gas prices. While rates have started to ease, they remain well above 2015–2020 levels. This cost pressure, combined with growing environmental responsibilities, has led to a nearly 50% rise in global energy efficiency investments between 2019 and 2024. At COP28, 200 countries committed to doubling energy efficiency improvements by 2030. Policy responses—like the EU’s Clean Industrial Deal, Australia’s Industrial Transformation Stream, and South Africa’s motor efficiency legislation—reflect this urgency. Pumps: The Hidden Energy Drain in Industrial Operations Pumps use over 20% of the world’s electricity. In some factories, they can consume up to 90%. Still, pumps are often ignored because they are smaller than turbines or compressors. But inefficient pumps raise both energy costs and carbon emissions. This creates a big chance to improve efficiency and reduce waste. The Massive Potential of Pump Upgrades Replacing old pumps with new, energy-saving models can cut power use by 3% to 20%. In some cases, the savings can go as high as 50%. Even a small 1% improvement in pump efficiency worldwide could save 59 TWh of electricity each year. That’s as much as countries like Singapore or Portugal use. Key Drivers for Pump Efficiency Improvements New materials like PEEK, thermoplastics, and ceramic coatings help pumps last longer and resist wear. Modern methods such as 3D printing and advanced machining allow for more accurate repairs and better performance. Digital tools like real-time monitoring and flow simulation also help operators spot problems early and fine-tune pump performance. Process and Market Conditions: Why Today’s Pumps Are Outdated Many pumps were installed years ago. Since then, the fluids they handle may have changed. This causes pumps to run less efficiently than before. Also, with more renewable energy on the grid, factories need to be more flexible. Old pumps were not built for this. As a result, they often work outside their best efficiency range. The ROI Misconception: Energy Efficiency Pays Back Many operators believe that energy efficiency upgrades take too long to pay off or require expensive downtime. But Sulzer’s research shows that this is not always true. About one in four pumps could save tens of thousands of dollars each year. These savings can be achieved with the right upgrades. Upgrades can be planned during regular maintenance. This avoids extra downtime and helps keep operations running smoothly. Inside Sulzer’s Pump Energy Efficiency Study Sulzer conducted a study in 2024, analysing 464 pumps using data from its BLUE BOX analytics platform. Pumps of various types, across multiple industries and regions, were monitored for 12 months. The study examined operating time within preferred, allowable, limited, and restricted zones—providing insight into where and how energy inefficiencies occur. What Sulzer’s BLUE BOX Data Tells Us Key findings from the study: 68% of pumps operated outside their Preferred Operating Region (POR) for more than 50% of the time. 44% exceeded 80% operation outside of POR. 17% of pumps ran in Limited or Restricted Operating Regions (LOR/ROR) for over half the time. 7% operated in LOR/ROR more than 80% of the time. These inefficiencies point to major savings opportunities by optimising pump operation and design.   Industrial Operators It’s time to shift the mindset around pumps—from short-term fixes to long-term efficiency. Partnering with experts like Sulzer can help assess energy performance, unlock savings, and integrate improvements into planned downtime—avoiding disruption while improving sustainability and cost-efficiency. 📖 Read the full study and insights from Sulzer in our August issue Check out our latest news and articles HERE . Read current and past ISSUES of IAA. SUBSCRIBE to stay ahead of the game! Follow us on FACEBOOK and LINKEDIN !

IAA Weekly Reports –  News & Trends – [15.01.24]

IAA Weekly Reports –  News & Trends – [15.01.24]

IAA Weekly Reports –  News & Trends – [15.01.24]   Siemens & Salesforce team up to accelerate servitization and drive manufacturing profitability Siemens and Salesforce are collaborating to help manufacturers increase service efficiency and create new revenue streams Teamcenter Service Lifecycle Management (SLM) app connects Siemens’ leading Teamcenter Product Lifecycle Management (PLM) with Salesforce Manufacturing Cloud and Service Cloud, enabling integrated, cross discipline collaboration that drive digital transformation The new AI-based SaaS integration helps manufacturers build feedback loops between service execution and product development, enabling continuous innovation Siemens Digital Industries Software announced today the new Teamcenter® SLM app on Salesforce AppExchange. Developed by Siemens in collaboration with Salesforce, the app connects product engineering and product service operations by bringing together the Teamcenter Service Lifecycle Management solution from the Siemens Xcelerator portfolio of industry software with Salesforce Manufacturing Cloud and Salesforce Service Cloud. This new app enables manufacturers to adopt more service-centric business models, improve the customer experience and increase service revenue. “Siemens and Salesforce are coming together to enable manufacturers to connect to their customers in whole new ways through this innovative integration of service lifecycle and customer relationship platforms,” said Zvi Feuer, Senior Vice President of Digital Manufacturing, Siemens Digital Industries Software. “Through our new collaboration with Salesforce, we’re helping manufacturers move to servitization through a closed loop integration that brings together product knowledge with the full customer story. The app delivers an enhanced customer service experience that can revolutionize service operations, foster collaboration between engineering and service teams and drive enhanced customer satisfaction – by delivering the right information at the right time in a single, centralized location.” Benefits of the new Teamcenter SLM app include improving operational efficiency through a better first-time-fix ratio, reducing the cost of service and helping to improve alignment between sales and service efforts. Equipped with the right asset information, tools and inventory, service teams can improve the customer service experience and drive revenue growth. The app also gives greater visibility for technicians and field staff into customer asset information alongside the graphically rich product data, managed in Teamcenter – helping service activities to complete successfully the first time. With access to Einstein, Salesforce’s AI technology, the app can scan knowledge articles created from service plans authored in Teamcenter to help find resources and solutions. With easy access to service data, manufacturers can drive continuous product improvement as lessons learned through service events become part of each asset’s digital twin. “We’re excited to partner with Siemens to help manufacturers increase efficiency, provide better service, and open new revenue streams,” said Achyut Jajoo, SVP & GM of Manufacturing and Automotive, Salesforce. “By bringing together Salesforce, which is powered by real-time data and AI, with Siemens’ Teamcenter service lifecycle management, we can help advance digital transformation across the sector and empower manufacturers to deliver better service while generating new revenue streams.” The Teamcenter SLM app is available now on Salesforce AppExchange. To learn more about how Siemens is working with Salesforce to bring new opportunities to manufacturers, drive digital transformation and accelerate the servitization of manufacturing, visit https://blogs.sw.siemens.com/service-lifecycle-management/2024/01/15/plm-connected-with-crm-for-customer-centric-servitization/ Siemens Digital Industries Software helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens’ software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today’s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries. Siemens Digital Industries Software – Accelerating transformation.   Artificial Intelligence in Manufacturing Market Size, Share & Industry Growth Analysis Report, 2028 The Artificial Intelligence in Manufacturing Market is on a trajectory of remarkable growth, projected to reach USD 20.8 billion by 2028 from USD 3.2 billion in 2023, boasting a stellar CAGR of 45.6% during 2023–2028. The dynamic interplay of factors propels this evolution, including the rising need to handle increasingly large and complex datasets and the emergence of industrial IoT and automation technology.   Artificial Intelligence In Manufacturing Market Dynamics: AI in the manufacturing market size is experiencing substantial growth, driven by the widespread utilization of big data, industrial robots, and the evolution of the Internet of Things (IoT). Macro drivers, including a focus on value creation and experiential customers, are further shaping this transformative journey.   Artificial Intelligence In Manufacturing tIn-Depth Market Insights: Explore the comprehensive market data, presented through 208 tables and 67 figures spread across 289 pages, providing an in-depth analysis of Artificial Intelligence in the Manufacturing Market share.   Ask for PDF Brochure -https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105   Artificial Intelligence In Manufacturing Market Segment Insights:   Hardware Segment: Projected to exhibit a higher CAGR during the forecast period. Processors, including MPUs, GPUs, FPGAs, and ASICs, are witnessing increased demand, especially GPUs with high parallel computing capabilities. Computer Vision Technology: Anticipated to grow with a higher CAGR. Applied in predictive maintenance and machinery inspection, this technology plays a pivotal role in industries such as automotive, energy & power, and heavy metals & machine manufacturing. Application Focus — Predictive Maintenance & Machinery Inspection: Holding the largest market share throughout the forecast period. AI adoption in this segment ensures proper equipment functioning, reduces deterioration rates, and minimizes operational costs due to untimely machine failures. Automotive Industry: Leading the market share in 2023. Automakers leveraging AI, computer vision, and machine learning technologies to enhance vehicle production quality, reduce downtime, and minimize financial losses. Regional Spotlight — Asia Pacific: Expected to grow at the highest CAGR. Factors driving growth include rapid industrialization, substantial e-commerce growth, rising labor costs, technological advancements, and a focus on Industry 4.0. Artificial Intelligence In Manufacturing Market Key Players: Profiles of key players such as Siemens (Germany), IBM (US), Intel Corporation (US), NVIDIA Corporation (US), and General Electric Company (US), among others, shape the competitive landscape.   Artificial Intelligence In Manufacturing Market Strategic Insights for Informed Decision-Making:   Market Intelligence Beyond Numbers: Beyond numerical statistics, the strategic insights delve into the nuances of market dynamics. Business leaders gain a comprehensive understanding of the forces shaping the AI

Enhancing Equipment Reliability: The Role of Instrumentation and Software in Predictive Maintenance for Manufacturing

Enhancing Equipment Reliability: The Role of Instrumentation and Software in Predictive Maintenance for Manufacturing

Enhancing Equipment Reliability: The Role of Instrumentation and Software in Predictive Maintenance for Manufacturing Discover how instrumentation, including vibration sensors, thermal cameras, and condition monitoring for motors and pumps, along with cloud-based software and wireless mesh networks, are transforming predictive maintenance in manufacturing, improving equipment reliability, reducing downtime, and enabling data-driven decision-making.

Acquisition of ECO-Adapt SAS strengthens Schaeffler’s portfolio of Lifetime Solutions

Acquisition of ECO-Adapt SAS strengthens Schaeffler’s portfolio of Lifetime Solutions

Acquisition of ECO-Adapt SAS strengthens Schaeffler’s portfolio of Lifetime Solutions Acquisition strengthens Schaeffler’s position as an innovative market leader in predictive maintenance solutions Higher level of transparency and reduced downtime by combining ECO-Adapt products with existing OPTIME offering 100 percent shares acquired through share purchase agreement