“我们已将每平方米建筑区域的碳足迹从 20 千克二氧化碳当量减少到不足 4 千克二氧化碳当量。” — Stockholm Exergi 可持续发展经理 Ulf Wikström

能力越大,责任越大。负责为 80 万人提供热能的能源供应商 Stockholm Exergi 将这一承诺铭记于心。该公司拥有关键基础设施,并致力于可持续发展,一直在寻找减少能源消耗并优化其所在区域建筑物效能的方法。
为了实现这一目标,该公司从 2016 年开始在 Amazon Web Services(AWS)上开发其解决方案 Intelligy Solutions。如今,在斯德哥尔摩上万栋联网建筑中,其客户将享受到在高效能“智能化”建筑中居住的益处。
通过软件即服务解决方案拓展负责任的能源消费模式
Stockholm Exergi 正在将 Intelligy Solutions 打造成 AWS 上的软件即服务解决方案,让其他注重可持续发展的能源提供商可以迅速采用。“我们为取得的进步感到自豪。”Stockholm Exergi 可持续发展经理 Ulf Wikstrom 说,“我们已将每平方米建筑区域的碳足迹从 20 千克二氧化碳当量减少到不足 4 千克二氧化碳当量。”

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Australia
South East Water Identifies and Mitigates Water Pressure Anomalies (Transients) using AI
Learn how this Melbourne metropolitan water corporation, established by the Victorian Government in Australia is improving infrastructure monitoring and water management using the TD•Cloud solution powered by AWS. -
Europe, Middle East, & Africa
Atlante Focuses on Sustainability and Growth Using Generative AI and AWS
Energy storage and e-mobility company Atlante is breathing new life into electronic vehicle infrastructure across southern Europe. Building from scratch in the Amazon Web Services (AWS) Cloud, it uses serverless and fully managed services that have helped it grow and innovate sustainably and at pace. Data scientist Laura Monforte talks about how Atlante teams are using generative artificial intelligence (AI) and services such as Amazon Q and Amazon Bedrock. And how being able to track carbon emissions means the startup keeps to its core value of protecting the planet, while increasing efficiency and saving money. -
Spain
Iberdrola Supports Customers’ Energy Transitions Using AWS
Using AWS services, global energy company Iberdrola built the Advanced Smart Assistant to help customers reduce smart device energy consumption and better manage grid consumption and capacity. -
Americas
Carbon Lighthouse Tackles CO2 Emissions with Machine Learning on AWS
Carbon Lighthouse is on a mission to stop climate change by making it easy and profitable for building owners to cut carbon emissions caused by wasted energy. In this video, learn how the company uses machine learning on AWS to develop insights that deliver energy savings and decrease CO2 emissions in commercial real estate, reducing more than 260,000 metric tons of emissions to date.
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