In our webinar, we show you how to get a handle on your data using Sartorius Lab Instruments and Data Analytics Software. Discover how data integrity and connectivity combined with robust data analytics can optimize your manufacturing processes, increase your yield, and help you bring quality cells and packs to the market faster.
With dynamic market conditions, tight profit margins and stringent emission targets, process industries are facing a dual challenge of achieving ambitious sustainability goals while meeting growth targets. Companies must chart a course to rapidly overcome these challenges in a volatile market.
Join our experts as they share how innovative, integrated digital solutions enable you and your teams to:
Discover how industrial AI-powered energy efficiency solutions reduce energy 2-10%, increase production 5-15% and drive over $1M/year in profit margins while accelerating GHG emission targets.
Operational Technology/Industrial Control System (OT/ICS) Inventory encompasses endpoints, or components of an endpoint, that have a model number, serial number, or version number. This includes hardware, firmware and software running in the OT/ICS environment. The systems to be included in your OT/ICS inventory should include DCS, PLC, SIS, Vibration Monitoring, Fire and Gas Systems, Burner Management Systems, Advanced Process Control, Turbine Machinery Controller, Compressor Controls, Historians, Protective Relays, Smart Instrumentation, Operator Stations, Engineering Stations, Switches, Routers, Firewalls, etc.
In this webinar you’ll learn how to attain a comprehensive asset inventory that captures vital data from level 0 – level 3.5 of the Purdue Model to not only improve your cybersecurity posture but also your day-to-day operations.
By condensing at lower temperatures, the Wet Surface Air Cooler allows for increased condensing capacity when compared to dry coolers. When comparing to traditional evaporative cooling techniques, such as cooling towers and heat exchangers, the wet surface air cooler can save water as well. Traditional clean water sources are not required so alternative makeup streams allow even further savings.
Applications such as LNG, cryogenic distillation/separation and other industrial refrigeration processes can reduce operating costs and carbon footprint through the use of direct latent heat rejection via Wet Surface Air Cooling. The evaporative condensing process reduces the amount of air required for cooling and thus lowers motor power consumption as well.
IIoT makes it possible to automate chemical manufacturing operations, provide traceability of data for quality control and enable digitized regulatory reporting. The first step towards successfully implementing IIoT in chemical manufacturing is establishing connections to manufacturing machines, processes, databases, and supply chains and making the data available to the enterprise data center in a secure, scalable and reliable manner.However, data connectivity and availability are a big challenge.
As the process industries transition towards new sustainability and decarbonization paradigms, digitalization plays an essential role for companies that intend to reach environmental targets and remain profitable. The tradition of having data embedded in physical documents has been replaced by the underlying data being stored digitally, which becomes the first step to build a reliable Digital Twin. By combining digital data with models and analytics, teams are empowered with proper and timely decision-making, driving operational excellence toward a more sustainable future. This webinar will use digital twin technology to illustrate the lifecycle of a renewable hydrogen plant from conception to production to deliver a cost-effective production solution. The webinar will also outline the development of digital tools and the necessary new technologies required to address the burgeoning needs of industry as it drives towards sustainability goals supporting net-zero manufacturing and the energy transition.
*Learn more about how Digital Twins are transforming the Hydrogen industry
*See how to make better use of your engineering and operating data to improve sustainability
*Explore how integrated digital solutions can reduce your commercial risk for new projects
Many industrial processes occur in difficult-to-access reactors, which are at times, under extreme pressures and/or temperatures. They may also use aggressive chemicals that may be acutely toxic and carcinogenic. At the same time, monitoring the moisture content of these substances is critical to ensure efficient drying, to produce a high-quality starting material and reduce overall operating costs. In practice, samples of the chemicals have to be taken from the process into the lab to be analyzed for moisture by coulometric Karl Fischer titration (KFT), but doing this can be unsafe and restrictive.
Join us during Part 3 of this four-part webinar series as Elena Hagemann and Andrew Tatsch demonstrate a new Process Analytics 4.0 enabling system. Using automation, the sample analysis of the primary method (KFT) is combined with Near-Infrared (NIR) spectral collection in real-time, resulting in a more accurate model with lower detection limits. Using this combined method, moisture measurements can be calibrated down to approximately 5 mg/L and delivered as a turnkey solution for installation in pipelines and reactors.
Catch up with our experts during the live Q&A forum at the end of this presentation and get your questions answered.
AI and smart data management accelerate the discovery and development of sustainable, high-performing materials, chemicals, and manufactured products.
However, domain-specific challenges often arise when applying AI to product development and R&D data, which is often complex, sparse, an expensive to generate. In this webinar, we’ll share how organizations have overcome these challenges to successfully accelerate product development, develop more sustainable products, and improve customer responsiveness with an AI-guided approach to R&D.
In this webinar, attendees will:
• Understand how AI can be used in product development without the need for code
• Learn how expert knowledge can be used to improve the predictive accuracy of models
• See an end-to-end case study of AI applied to a sustainable product development challenge
• Learn how materials & chemicals companies are rolling out AI-guided workflows across their business units
Solids handling problems are common throughout many industries, thanks to a lack of focus around bulk solids training, and common trial-and-error approaches. 70% of all products contain at least some ingredients handled as bulk solids, and studies have shown problems around bulk solids handling has led to higher production costs and lower product quality.
This webinar will provide insights into common flow problems, and offer general steps on how to solve them.
The chemical processing industries are among the top of all heavy industries in CO2 emissions. With ever-evolving climate change accords and pressure to decarbonize and achieve net zero, major chemical producers have developed aggressive goals and announced major investments. But many are left wondering where to decarbonize and how to get started.
It is important to have a modern control system to serve as the digital foundation for measuring and monitoring. You can’t make improvements without access to the baseline data. Equally important is working with an automation and digitalization partner that has in-depth industry knowledge to maximize your plant’s performance while helping to meet your sustainability goals.
The chemical processing industries play a significant role in helping to reach global Environmental, Social, and Governance (ESG) goals by modernizing their control systems and deploying the latest digital technologies.
This webinar examines decarbonization opportunities and some key applications that address needs in many segments of the chemical processing industries, as producers look to meet their ESG goals.