基于光储直柔的低碳园区多能协同与智慧碳管控集成示范应用数据集
收藏国家基础学科公共科学数据中心2026-01-30 收录
下载链接:
https://nbsdc.cn/general/dataDetail?id=694c0e37195d261fbbe14e35&type=1
下载链接
链接失效反馈官方服务:
资源简介:
包含低碳园区智慧碳管控平台,具体为平台源代码、设计文档、操作手册、第三方功能测试报告;涵盖碳管控领域≥3类、能源链≥3种、碳排放管控子系统≥5类的运行参数、监测记录及分析报告。包含光储直柔多能协同与智慧碳管控集成展示平台,具体为平台源代码、接口设计文档、操作手册。包含低碳园区多能协同与碳管控技术示范应用的关键指标数据,总示范建筑面积≥3万m²的测绘数据、示范区用电负荷电气化率≥75%的统计数据、可再生能源消纳率≥98%的监测数据、单位GDP(单位建筑面积、人均)二氧化碳排放减少量≥20%的核算数据;还包括支撑研究的6个专利申请材料、1篇高水平论文(发表/录用)材料、1个软件著作权登记材料。
This dataset includes the intelligent carbon management platform for low-carbon parks, specifically its source code, design documents, operation manuals, and third-party functional test reports. It covers operational parameters, monitoring records and analysis reports for at least 3 categories of carbon management fields, at least 3 types of energy chains, and at least 5 categories of carbon emission control subsystems. This dataset also contains the photovoltaic-storage-direct-flexible multi-energy coordinated and intelligent carbon management integrated display platform, specifically its source code, interface design documents and operation manuals. Additionally, it includes key indicator data for the demonstration application of multi-energy coordination and carbon management technologies in low-carbon parks: surveying and mapping data for a total demonstration building area of no less than 30,000 m², statistical data on the electrification rate of power load in the demonstration zone of no less than 75%, monitoring data on the renewable energy consumption rate of no less than 98%, and accounting data on the ≥20% reduction of CO₂ emissions per unit GDP (per unit building area, per capita). It also covers supporting research materials including 6 patent application documents, 1 high-quality academic paper (published/accepted), and 1 software copyright registration material.
提供机构:
贵州电网有限责任公司
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集聚焦于低碳园区,基于光储直柔技术,提供了多能协同与智慧碳管控的集成示范应用数据。内容包括智慧碳管控平台和集成展示平台的相关技术文档、运行参数及监测记录,以及示范应用中的关键指标,如建筑面积、用电负荷电气化率和碳排放减少量等。数据集还涵盖了支撑研究的专利申请、论文和软件著作权材料。
以上内容由遇见数据集搜集并总结生成



