In 2022, sustainability was identified by 58% of Energy and Resources CEOs as their greatest challenge, with 51% of them also considering it as a business opportunity that will drive growth. At the same time, 44% of CEOs cited a lack of insights from data as a problem. (Source: IBV 2022 CEO - Energy & Resources insights)
Today companies are confronted with not only rising energy prices but also supply chain and operational disruptions. These disruptions are due to multiple factors including geopolitical situations, an aging workforce, and climate-related risks. In response to these challenges, deploying new infrastructure quickly and efficiently as well as optimizing the operations of existing assets and extending their lifecycle is crucial. A company's ability to harness actionable, data-driven insights is key to accelerate the transformation of assets that are safer, more efficient and more sustainable.
To help companies ensure business continuity while achieving their sustainability goals,
Any organization including consulting firms or engineering companies will be able to better understand existing assets and therefore provide the transformational roadmap to modernize and optimize energy grids, wind farms, airports, water distribution systems, transportation and mobility, cities and datacenters.
A virtual twin experience of an asset is a data-enriched, evolving 3D model that replicates reality with scientific accuracy and is used to test and improve the asset's performance virtually before doing so physically. Combining virtual twin experiences of equipment, infrastructure, value networks and territories with solutions for optimizing meteorological and green IT data, for example, will help to:
*Improve collaboration and knowledge sharing between system engineering, manufacturing, and operations teams.
*Make faster, safer, and more sustainable operational decisions for assets, people, and processes.
*Integrate compliance considerations with respect to industry and environmental regulations from the engineering phase to the maintenance phase.
Over the coming months,
Examples use cases that benefit from this collaboration in Energy and Civilian Infrastructure markets include:
*Compute and optimize global carbon footprint during datacenter operations by automating the actions that proactively deliver the most efficient use of compute, storage, and network resources.
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*Combine optimization and simulation capabilities to improve the placement of physical assets for wind farms.
*Optimize utilities operations and renovations including electrical transmission, water supply and sanitation
"There is no better time to revitalize the IBM Dassault Systemes long-term Partnership, as solving sustainability challenges requires collaboration across an advanced ecosystem of business partners. We are convinced that enriching virtual twins with real world data will enable companies to improve their operational efficiency and reduce their environment impact especially in asset intensive industries," commented
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