As companies continue to work towards ambitious emission reduction targets, leveraging digital technology remains key in achieving net-zero emissions.

Our customers sit at the forefront of addressing the Dual Challenge – meeting the increasing demand from a growing population but in a sustainable way. The innovations in V14 are designed specifically for this purpose.

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

Leading chemical companies across the globe face more competitive pressures with volatile market conditions and a rapidly changing workforce pushing the demand for increased sustainability and profitability. Digital twin software offers new levels of operational excellence through enterprise-wide insights that drive improved business operations.

Enter the era of autonomy and take the first steps to the self-optimizing plant – a self-learning, self-adapting and self-sustaining operation driven by industrial AI that will start your industrial metaverse journey and help you thrive in any market condition. Watch this video to learn how you can start realizing this vision today.

See how digital twin technology and Industrial AI provide real-time insights on system performance, helping to optimize operations and reduce costs with recommendations to maximize uptime.

Faced with new levels of complexity, disruptions and pressure to meet customer demands, chemical supply chains have been tested as never before in recent years. In addition, there is the growing challenge to achieve net zero targets while maintaining sustainable, profitable operations.

Use the Best-in-Class Process Simulation Software to Advance Your Net Zero Goals.

Mitsubishi Chemical Group Corporation, Japan’s largest chemical company, faced quality problems in the company's polymer manufacturing processes that could not be detected on time, resulting in impacts to production. Using Aspen Hybrid Models with Aspen Plus®, Mitsubishi Chemical Group Corporation had the opportunity to create a robust and performant model that accurately predicted quality issues and supported preventive actions.

Novozymes A/S, a global biotechnology company based in Denmark, was looking to support the development and optimization of biodiesel processes due to increasing biodiesel market demand, rising materials costs and more stringent industry regulations.