Real-time Analytics
Towngas Energy needed a common digital platform to integrate fragmented park-energy projects, manage specialized IoT and analytics workloads, and support zero-carbon operations across many energy scenarios and user roles.
Reported impact
Towngas gained a unified entry point for park energy operations, better operational visibility, and a scalable digital foundation for low-carbon optimization and decision support.
Towngas Energy and Tencent Cloud built a smart-energy ecosystem platform for industrial parks and zero-carbon operations. At the front end, a digital-twin cockpit visualizes park activity and uses simulated and sensed data to monitor electricity, gas, steam, water, coal, and oil usage in one screen. Beneath that, Tencent Cloud's Smart Energy Workshop, IoT platform, and Carbon Engine provide data ingestion, device management, API access, carbon accounting, and drag-and-drop calculation tools. The platform connects photovoltaic, storage, charging, cooling, and broader energy-management applications so operators can analyze consumption, efficiency, warnings, and emissions across multiple sites. Forecasting modules support supply, demand, cost, energy trading, and carbon trading optimization. By standardizing the data layer and application assembly model, Towngas can expand the platform as more users, devices, and low-carbon services come online.
Energy devices and park systems feed data into the IoT platform, where the smart-energy platform aggregates it for digital-twin views, monitoring, alerts, energy-efficiency analysis, forecasting, and carbon accounting before results are exposed to operators through the cockpit and related applications.
Tencent Cloud provides Smart Energy Workshop, an IoT platform, and carbon-emissions data management and calculation tools. (original: 提供集综合能源产品生态和数据汇接于一体的平台⸺腾讯云综能工场...提供物联网平台...提供碳排放数据管理工具和碳排放量核算工具。)
The Taizhou Hailing cockpit uses digital-twin technology and simulated sensor data to monitor energy operations, energy consumption, efficiency, and alerts across multiple energy types. (original: 驾驶舱采用数字孪生等技术...实现对园区企业主体的“电、燃气、蒸汽、水、煤、油”等多类型能源的运行监测、能耗统计、能效分析、预警告警。)
The completed project is expected to cut carbon emissions by hundreds of thousands of tons per year and provide strong digital support for a zero-carbon city. (original: 预计在项目全部建成后，每年可减少数十万吨的碳排放，为海陵区的“太阳城”和零碳城市建设提供良好的数智化支撑。)
The current platform has 8 digital-twin models, 162 data nodes, and has pushed more than 13 million data records. (original: 目前该平台数据系统已有8个数字孪生体模型、162个数据节点，推送数据量超过1300万条。)
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