The global demand for energy continues to increase and the diversity of sources is growing. We are helping customers explore sustainable generation, achieve efficient distribution, maintain reliable power grids, and transform the market with Internet of Things (IoT). Whether in oil and gas, coal, renewable energy, nuclear power, or distribution, our customers use Altair to simulate everything from geomechanics to composite wind turbine blades and analyze structural safety to network loads.
Reliable in the Real World
Developing economies are undertaking more government-funded projects with a focus on rural electrification to meet the demands of increasing power access, urbanization, and rapid industrialization. Designing the efficient and sustainable energy generation equipment required is supported by Altair analysis and optimization. Ensuring reliability under real world conditions requires exploration of variables with trusted physics simulations.
A Clear Path to Sustainability
Existing utilities are on a path to sustainability, working to replace and upgrade their existing infrastructure with an increasing focus on renewable energy. Altair's simulation and optimization technologies support this growing trend. Our core competencies include turbine vortex simulation and prediction, acoustic interpretation and assessment, wind farm siting, composite blade analysis and optimization, and transmission dynamics simulation and optimization.
A Smart Digital Transformation
The digital transformation of electricity uses IoT and smart grid technology to improve customer experiences and ensure safety and compliance. Altair provides real-time streaming analytics designed to handle energy industry requirements. Our technology supports the critical functions required to analyze and monitor the vast amounts of data generated in energy production and utilities applications.
Improving lifetime value of a fusion powerplant using a physics-based digital twin. Assystem is an international engineering and digital services group focused on low-carbon projects that accelerate the transition to clean energy. Assystem is committed to the development of decarbonized electricity (fusion energy, renewables and electricity grids) and clean hydrogen. The Assystem team wanted to leverage the expensive design models to create a digital twin by inputting the sensor data that was livestreamed from the plant, which helps engineers understand the plant’s structural integrity and further optimize inspection and maintenance schedules.
Altair’s technical experts, Chayan Basak and Sebastián Larrazábal, along with Peter Connolly (President ConnollyGeo) discuss how semi-autonomous tools, Altair Geomechanics Director, can help you to build fast and accurate mechanical earth models, visualize standard results, perform geomechanics specific calculations, and provide efficient interpretation of the results. The presentation includes a demonstration of simulation technologies designed to enhance geomechanics engineering efficiency.
CEA Tech, the Grenoble-based technology research unit for the French Alternative Energies and Atomic Energy Commission (CEA) is a global leader in miniaturization technologies that enable smart digital systems and secure, energy-efficient solutions for industry. Its multidisciplinary team of experts tackles critical challenges in healthcare, energy, digital migration, and more in world-class facilities. CEA Tech needed to improve license utilization and ensure that licenses are freed quickly to be made available to queued jobs. The team sped up R&D using Altair® Accelerator™ for EDA job scheduling and Altair® Monitor™ for real-time license monitoring. One series of single-user simulations showed a speed increase of more than 4.5x using Accelerator.
Vortex Bladeless, a Spanish technology startup company developing an aerogenerator with no blades, leverages Altair SmartWorks to advance product designs. Hear how the Vortex team is using an IoT monitoring board and a digital twin to accelerate the development process while continuously improving product performance.