数据飞轮驱动下的零碳园区建设路径研究

doi:10.3969/j.issn.2097-0706.2026.03.007

综合智慧能源 ›› 2026, Vol. 48 ›› Issue (3): 65-75.doi: 10.3969/j.issn.2097-0706.2026.03.007

数据飞轮驱动下的零碳园区建设路径研究

夏小平¹(), 尧德华¹(), 宋总涛¹(), 汪悦越¹(), 谭一帆²^,³(), 方亦茗²^,³(), 张军²^,³^,^*()

¹ 南方电网综合能源股份有限公司，广州 510663
² 广东省科技图书馆（广东省科学院信息研究所），广州 510070
³ 粤港澳大湾区战略研究院，广州 510070

收稿日期:2025-12-04 修回日期:2026-01-15 出版日期:2026-03-25
通讯作者: *张军（1967），男，研究员，硕士，从事战略性新兴产业和未来产业创新发展及新能源、新材料战略情报等方面的研究，zhangjun@mail.whlib.ac.cn。
作者简介:夏小平（1975），男，高级经济师，硕士，从事节能低碳项目开发、投资建设运营管理等方面的研究，xiaxp@csg.cn；
尧德华（1985），男，高级工程师，博士，从事零碳园区建设、清洁能源利用、节能改造等方面的研究，yaodh@csg.cn；
宋总涛（1981），男，高级工程师，硕士，从事电力需求侧管理、工业节能等方面的研究，songzt@csg.cn；
汪悦越（1992），女，工程师，硕士，从事零碳园区规划与低碳化转型等方面的研究，wangyueyue@csg.cn；
谭一帆（1996），男，博士，从事创新与产业空间格局方面的研究，tanyifans@stilb.cn；
方亦茗（1994），女，经济师，硕士，从事区域产业发展方面的研究，fym@stlib.cn。
基金资助:
南方电网综合能源股份有限公司2025年咨询服务项目(NWNY-CGZX-2025-102)

Research on construction pathways for zero-carbon parks driven by data flywheel

XIA Xiaoping¹(), YAO Dehua¹(), SONG Zongtao¹(), WANG Yueyue¹(), TAN Yifan²^,³(), FANG Yiming²^,³(), ZHANG Jun²^,³^,^*()

¹ China Southern Power Grid Integrated Energy Company Limited， Guangzhou 510663， China
² Science and Technology Library of Guangdong Province （Information Research Institute of Guangdong Academy of Sciences）， Guangzhou 510070， China
³ Guangdong-Hong Kong-Macao Greater Bay Area Strategic Research Institute， Guangzhou 510070， China

Received:2025-12-04 Revised:2026-01-15 Published:2026-03-25
Supported by:
Southern Power Grid Integrated Energy Company Limited 2025 Consulting Service Project(NWNY-CGZX-2025-102)

摘要/Abstract

摘要：

零碳园区作为实现“双碳”战略目标的关键载体，其核心在于通过构建综合能源系统实现能源高效利用。激活零碳园区的数据飞轮，有利于驱动园区综合能源系统实现高效协同与持续优化，破解当前综合能源系统“重建设、轻运营”及“源-网-荷-储”链条割裂等发展痛点。基于数据飞轮理论，结合典型零碳园区建设案例，探讨了数据飞轮驱动下零碳园区的建设路径。提出综合能源系统、用能场景与碳资产管理为三大零碳园区核心组成部分；引入数据飞轮理论作为分析视角，剖析三大组成部分间的协同机制与数据流转逻辑；通过量化对比分析厦门ABB工业中心、深圳虚拟电厂管理中心和博鳌东屿岛零碳示范区等案例，验证本文所提对策的可行性，并推演数据飞轮驱动下零碳园区的建设路径。能源系统与用能场景的时空错位、能源系统与碳资产之间的资产错链、用能场景与碳资产管理之间的资源错配共同构成了零碳园区发展的三大核心瓶颈。激活“获取—存储—进入—加速—适应”五阶段数据飞轮，能够为综合能源系统注入持续优化的核心动能，进而转化为系统运行的自我优化能力、整体效率的跃升效应及价值创造的内生动力。启示应构建统一数据标准、建设园区级数据中台和平台运营商、探索能源数据要素市场化配置路径，设计数据驱动的业务闭环以赋能零碳园区建设。

关键词: 零碳园区, 综合能源, 数据飞轮, 碳资产管理, 用能场景, 源-网-荷-储

Abstract:

Zero-carbon parks serve as key carriers for achieving the "dual-carbon" goals. The core of such parks lies in realizing efficient energy utilization through the construction of integrated energy systems. Activating the data flywheel in zero-carbon parks helps drive efficient coordination and continuous optimization of park-level integrated energy systems， thereby addressing current development challenges such as "overemphasis on construction and neglect of operation" and the fragmented "source-grid-load-storage" chain. Based on the data flywheel theory and typical zero-carbon park construction cases， construction pathways for zero-carbon parks driven by the data flywheel were explored. The integrated energy system， energy consumption scenarios， and carbon asset management were proposed as the three core components of zero-carbon parks. The data flywheel theory was introduced as an analytical perspective to examine the synergistic mechanisms and data flow logic among these three components. The feasibility of the proposed strategies was verified through quantitative comparative analysis of cases such as Xiamen ABB Industrial Center， Shenzhen Virtual Power Plant Management Center， and Bo'ao Dongyu Island Zero-Carbon Demonstration Zone. Furthermore， the construction pathways for zero-carbon parks driven by the data flywheel were deduced. The spatiotemporal misalignment between the energy system and energy consumption scenarios， the asset mismatch between the energy system and carbon assets， and the resource misallocation between energy consumption scenarios and carbon asset management together constituted the three core bottlenecks in the development of zero-carbon parks. Activating the five-stage data flywheel of "acquisition—storage—entry—acceleration—adaptation" can inject core momentum for continuous optimization into the integrated energy system. This can be transformed into the system's self-optimization capability in operation， a leap in overall efficiency， and the intrinsic driving force for value creation. It is recommended to establish unified data standards， develop park-level data middle platforms and platform operators， explore market-based allocation pathways for energy data elements， and design data-driven business closed loops to empower zero-carbon park construction.

Key words: zero-carbon park, integrated energy, data flywheel, carbon asset management, energy consumption scenario, source-grid-load-storage

中图分类号:

TK 018：F 426.61

夏小平, 尧德华, 宋总涛, 汪悦越, 谭一帆, 方亦茗, 张军. 数据飞轮驱动下的零碳园区建设路径研究[J]. 综合智慧能源, 2026, 48(3): 65-75.

XIA Xiaoping, YAO Dehua, SONG Zongtao, WANG Yueyue, TAN Yifan, FANG Yiming, ZHANG Jun. Research on construction pathways for zero-carbon parks driven by data flywheel[J]. Integrated Intelligent Energy, 2026, 48(3): 65-75.

图/表 3

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案例名称	建设规模	技术指标	经济效应
厦门ABB工业中心^[33]	项目建10万㎡屋顶光伏，全年发电量约11.41 GW∙h，搭建智能能源调控平台、新能源发电和储能系统	实现AI预测“源-网-荷-储”；年减碳量1.13万t，年减碳1.34万t；清洁能源利用率50%；光伏自发自用率84.4%	全年节省电费140万元；园区“源-网-荷-储“互动实施后，中心年度用电量减少5%，能源成本降低22%，投资收益率超8%^[37]
深圳虚拟电厂管理中心^[34]	接入容量3 800 MW，可调资源6万余个，涵盖充电桩、空调、光伏等9类资源，61家运营商，最大调节能力1 200 MW	2023年以来累计调节次数超100次，调节电量超5 603 MW∙h；年减碳量约4 681.2 t；实现毫秒级/秒级/分钟级响应能力，调节精度96.6%	调节运营商经济收益约1 820万元，创造直接经济效益达1.7亿元；带动百余家企业进入虚拟电厂产业链
博鳌东屿岛零碳示范区^[35]	光伏投资超1亿元，总装机23.8 MW，全年生产电量32 GW∙h	绿电自给率100%；年均节约标准煤8 912 t、减少二氧化碳排放约2.3万t^[36]	该项目将余电15 GW·h上网销售，通过绿电交易获得0.2元/(kW·h)的市场溢价，并获环保税减免

数据飞轮驱动下的零碳园区建设路径研究

Research on construction pathways for zero-carbon parks driven by data flywheel

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阶段	具体内容
获取	新建设备兼容开放通信协议；存量设备实施边缘网关改造；统一元数据标准；园区准入和绿色认证要求
存储	建立数据产权制度；实施分级分类存储；应用隐私计算技术；构建数据要素交易机制
进入	建立业务与性能指标关联映射；基于场景需求训练和微调AI模型；促进数据驱动业务决策；构建数据驱动的绩效评价体系
加速	“价值发现—价值创造—价值分配”闭环数据产品超市
适应	实现“政府-企业-平台-用户”协同；推动全国零碳园区技术标准统一；实现园区内部产业链能源数据共享

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