Solutions for the energy and environment industries
Rising energy needs and sustainability targets are pushing companies to explore innovative solutions and architectures. Innovations like IoT, AI, and machine learning can help address these critical needs.
Power and utilities solutions can help industries build a future of optimized energy management and sustainability and respond to climate change.
Learn how you can join the global community committed to reducing energy use, transitioning to a more carbon-neutral grid, and promoting a greener future with sustainable and innovative technologies from Azure.
Architectures for energy and the environment
The following articles provide detailed analysis of architectures developed and recommended for the energy and environment industries.
Architecture | Summary | Technology focus |
---|---|---|
Cost savings through HTAP with Azure SQL | Use a scalable hybrid transaction/analytical processing (HTAP) architecture with Azure SQL Database to combine transaction processing with analytics. For example, energy providers can use this architecture to manage smart power grids. | Data/Analytics |
Create smart places by using Azure Digital Twins | Use Azure Digital Twins to create models of smart places from IoT device data. View and control products, systems, environments, and experiences to optimize energy. | IoT |
Efficient Docker image deployment for intermittent low-bandwidth connectivity | Learn about a reliable and resilient deployment architecture for situations when you have limited, intermittent, or low bandwidth. This architecture is applicable in fields like the oil, gas, and mining industries. | IoT |
Environment monitoring and supply chain optimization with IoT | Learn how to use Azure IoT for environment monitoring and supply chain optimization. Use cases include fire prediction and farming. | IoT |
Geospatial data processing and analytics | Collect, process, and store geospatial data by using managed Azure services. Make the data available through web apps. Visualize, explore, and analyze the data. You can use this architecture for applications like processing and storing climate data. | Data/Analytics |
Project 15 Open Platform IoT sustainability | Use IoT technologies and the Project 15 Open Platform to accelerate innovation in species tracking, ecosystem monitoring, and other areas. | IoT |
Run CFD simulations | Learn about running computational fluid dynamics (CFD) simulations for applications in the oil and gas industries, for example. Create, manage, and optimize clusters by using Azure CycleCloud. | Compute |
Run reservoir simulation software on Azure | Run OPM Flow reservoir simulation software and OPM ResInsight visualization software on an Azure HPC compute cluster and visualization VM. You can use this architecture for applications like 3D reservoir modeling and visualization of seismic data. | Compute |
Scale AI and machine learning initiatives in regulated industries | Learn about scaling Azure AI and machine learning environments that need to comply with extensive security policies, like those used in the oil and gas industries. | AI / Machine learning |
Solution ideas for energy and the environment
The following are other ideas that you can use as a starting point for your energy or environment solution.
- Azure IoT Edge data storage and processing
- Data science and machine learning with Azure Databricks
- Demand forecasting
- Energy supply optimization
- Forecast energy and power demand
- IoT analyze and optimize loops
- IoT device connectivity for healthcare facilities
- IoT monitor and manage loops
- Low-latency network connections for industry
- Modern analytics architecture with Azure Databricks
- Oil and gas tank-level forecasting
- Stromasys Charon-SSP Solaris emulator on Azure VMs
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