Innovyze has recently joined forces with SWAN, the Smart Water Networks Forum, to focus on the Digital Twin concept and its application to global water utility strategies. The SWAN Digital Twin H2O Work Group, which will be co-chaired by Colby Manwaring, CEO of Innovyze, has been established to help water and wastewater utilities to improve efficiency, water quality, and costs by accelerating the adoption of Digital Twin technology.
The Work Group officially launches during the upcoming, free SWAN Digital Twin H2O Workshop on May 14th, 2019, which will be held in conjunction with the SWAN 2019 Conference taking place in Miami May 15th-16th. This Workshop, sponsored by Innovyze, is being organized by the co-chairs of the Work Group with the support of the SWAN Forum, the leading global hub for the smart water and wastewater sectors.
A Digital Twin is a virtual model of the real world. Applying operational data to the digital twin means decision makers can simulate what would happen to a foul water or clean water network or in a catchment when conditions change. At the Workshop, participants will discuss the components of digital twins and the data and analytics challenges, examine practical real-life examples, and develop a common Digital Twin strategy for global water utilities.
Speaking about this exciting development, Colby commented: “We’re thrilled to be joining SWAN and our co-chairs of the Digital Twin H2O Work Group to actively bring this innovative concept to the forefront of today’s smart water and wastewater discussions. We’re excited to share with the global SWAN network how our integrated approach to this concept links water supply, wastewater, flood control, asset management, modeling/simulation, and real-world data streams.”
According to Amir Cahn, SWAN’s Executive Director: “While the water sector has been using these simulation techniques for decades, this has been carried out largely in silos. Together with the efforts of Innovyze and industry experts, we hope to see utilities applying these smart technologies across diverse departments to make better forecasts, prioritize capital planning and optimize operations.”
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