园区全寿命期碳排放核算与智慧碳管控及碳足迹追踪数据集

该数据集面向园区低碳转型与智慧碳管控研究需求建设，聚焦园区碳排放边界模糊、碳源核算复杂、碳足迹追踪管控难等行业痛点，为全寿命期碳排放核算、碳足迹智慧追踪及智慧碳管控技术研发提供数据支撑，对推动园区低碳化升级与“双碳”目标落地具有重要实践意义。 数据集源于某园区示范项目近两年的实地勘测与研发实践，通过经国家计量认证的智能电表、温湿度传感器等设备采集基础数据，结合Python数据处理工具与仿真模型开展实验，经多阶段质量控制形成。产生过程涵盖物理边界勘测、基础信息收集、模型开发与仿真、软件平台研发及成果梳理，严格执行设备月度校准、数据预处理（异常值检测、缺失值填补）、模型交叉验证等质量管控流程，确保数据可靠性。 主要内容包含6个结构化文件夹，总容量约100MB：01-园区物理边界与碳排放核算基础数据集（45MB），含边界数据、供能及设备参数；02-全寿命期碳排放计算模型数据集（20MB），涵盖静态/动态计算模型及调试、输出数据；03-碳足迹智慧追踪数据集（20MB），含实时监测数据、逐时碳流及负荷预测数据；04-软件平台相关资料（5MB），含源代码、部署与功能说明书；05-论文成果（6MB），含3篇高水平论文及录用通知；06-发明专利材料（4MB），含2项专利的申请文件与受理通知书。数据集采用双机备份、密码保护等安全策略，确保数据完整可追溯，可广泛应用于园区碳排放核算、碳管控技术研发等相关研究与工程实践。This dataset is constructed to meet the research demands of park low-carbon transition and smart carbon management and control. It focuses on the prevalent industrial pain points in parks, including ambiguous carbon emission boundaries, complicated carbon source accounting, and difficulties in carbon footprint tracking and management, providing critical data support for the R&D of full-life-cycle carbon emission accounting, smart carbon footprint tracking, and smart carbon management and control technologies, which holds significant practical value for promoting park low-carbon upgrading and the fulfillment of the "dual carbon" goals. The dataset is sourced from on-site surveys and R&D practices conducted over the past two years for a park demonstration project. Basic data is collected via smart meters, temperature and humidity sensors, and other devices that have obtained national metrological certification. Experiments are then carried out using Python data processing tools and simulation models, and the final dataset is formed after multi-stage quality control procedures. The dataset generation process covers physical boundary survey, basic information collection, model development and simulation, software platform development, and result sorting. Strict quality control procedures are implemented, including monthly equipment calibration, data preprocessing (outlier detection and missing value imputation), and model cross-validation, to ensure the reliability of the dataset. The main content includes 6 structured folders with a total capacity of approximately 100MB: 01 - Basic Datasets for Park Physical Boundary and Carbon Emission Accounting (45MB), including boundary data, energy supply and equipment parameters; 02 - Datasets for Full-Life-Cycle Carbon Emission Calculation Models (20MB), covering static and dynamic calculation models, debugging data, and output data; 03 - Smart Carbon Footprint Tracking Datasets (20MB), containing real-time monitoring data, hourly carbon flow data, and load forecasting data; 04 - Software Platform Related Materials (5MB), including source code, deployment documents, and functional specifications; 05 - Academic Paper Achievements (6MB), including 3 high-quality academic papers and their acceptance notices; 06 - Invention Patent Materials (4MB), including the application documents and acceptance notices of 2 patents. The dataset adopts security measures including dual-machine backup and password protection to ensure complete and traceable data, and can be widely applied to relevant research and engineering practices such as park carbon emission accounting and carbon management and control technology R&D.

搜集汇总

背景与挑战

背景概述

该数据集旨在支持园区低碳转型与智慧碳管控研究，通过实地勘测和模型仿真，提供全寿命期碳排放核算、碳足迹追踪及管控技术研发所需的数据。数据集包含六个结构化文件夹，涵盖物理边界、计算模型、实时监测和软件平台等核心内容，并经过严格质量控制，确保可靠性和可追溯性。