• CERAWeek
  • March 18 - 22, 2024

Vikas Dhole

Aspen Technology

Vice President, Sustainability Business

Vikas Dhole serves as General Manager of Sustainability Industry Business Unit at Aspen Technology and is responsible for AspenTech’s portfolio-wide Sustainability solution strategy and enablement and co-innovation with customers and partners. Prior to taking the new role, Vikas was responsible for Product Management of AspenTech’s Performance Engineering solution. During his 20 years of Performance Engineering product management leadership, AspenTech has expanded clear market leadership in Process Engineering and Optimization across all process industry verticals. The solution over the years has incorporated innovations in concurrent engineering, asset optimization and sustainability in collaboration with customers and has helped transform the industry practice in these areas. Latest innovations in Performance Engineering include Aspen Hybrid Models that combines the strengths of first principles modelling with Machine learning (AI) delivering next generation process and asset modelling for the industry. Throughout his career Vikas has championed innovative technology and software solutions in the areas of sustainability, process design, energy management, process and asset optimization for operations. He has authored several publications on these industry topics. Prior to joining AspenTech Vikas was Technology Director at Linnhoff March Consulting. Vikas was also a staff member at the Department of Process Integration at the University of Manchester UK, the group that pioneered the development of “Pinch Technology” which has revolutionized energy efficiency improvements in the process industries with thousands of successful projects globally. Vikas has a B.Tech. in Chemical Engineering from the Indian Institute of Technology (IIT), Mumbai, India, and a PhD in Process Integration from the University of Manchester, UK.

Sessions With Vikas Dhole

Monday, 6 March

  • 02:30pm - 03:00pm (CST) / 06/mar/2023 08:30 pm - 06/mar/2023 09:00 pm

    Leveraging Next Level AI Analytics to Reduce Energy Emissions

    Digital transformation is regularly cited as key to improving operational efficiencies across the energy chain. These efficiencies save money and time, of course, but they also drive down energy consumption and GHG emissions. Many of these improvements have their origin in AI-powered analytics and machine learning. What is the next level of impact that we can expect from these capabilities in driving down emissions? Where are we in terms of creating and deploying AI specifically to target emissions? What successes—and disappointments—are we seeing? To what extent can that impact come from greater use of existing capabilities versus new ones? What digital infrastructure and people skill barriers need to be overcome to achieve that impact?