主页 / 项目 / 能源生产 / Survey and design of China’s first pumped-storage power station in a complex karst area – Caiziba pumped-storage power station in Fengjie, Chongqing

项目

组织和公司名称

上海勘测设计研究院有限公司

Survey and design of China’s first pumped-storage power station in a complex karst area – Caiziba pumped-storage power station in Fengjie, Chongqing

图片来源:上海勘测设计研究院有限公司
A black circle with a white "B" above the words "Finalist 2025," referencing YII 2025, on a white background with an orange bar at the top.
A badge with an orange top border displays the text "Finalist YII 2025" on a white background, highlighting recognition for outstanding 2025 projects.

项目

组织和公司名称

上海勘测设计研究院有限公司

Survey and design of China’s first pumped-storage power station in a complex karst area – Caiziba pumped-storage power station in Fengjie, Chongqing

图片来源:上海勘测设计研究院有限公司
奖项类别

能源生产

地点

Fengjie County, Chongqing City, China

使用的 Bentley 软件

Bentley Descartes, Bentley LumenRT, iTwin Capture, MicroStation, OpenPlant, PLAXIS, ProjectWise, STAAD, SYNCHRO

项目概要

The Caiziba pumped-storage power station is the first large-scale pumped storage project in China’s complex karst area. Located amid extensive karst formations, including caves and fissures, the project presented significant site challenges, compounded by technical and coordination issues. Previous traditional design and modeling applications resulted in data fragmentation and workflow bottlenecks. To address these shortcomings, the project team realized that they needed an integrated, dynamic technology solution.

Leveraging Bentley’s 3D modeling, digital twin, and construction simulation technology, the team established a collaborative digital platform and standardized component library, streamlining workflows and achieving dynamic coupling of geological modeling and construction. Working in a coordinated design environment eliminated 1,850 conflicts to avoid rework costs of approximately CNY 4.5 million. The integrated digital twin solution shortened the construction period by 42 days and optimized steel and concrete usage, reducing carbon emissions by 11,110 tons to deliver intelligent green infrastructure that supports regional clean energy transformation.

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