算力中心绿电适配实时能耗与碳减排量数据集

算力中心绿电适配实时能耗与碳减排量数据集，覆盖算力中心能耗光伏、储能、充电桩三大场景。包含采集时间、站号、域ID、总发电量、逆变器发电量、上网电量、自发自用电量、充电电量、放电电量、分时电价、发电收益、储能收益、碳排放、企业碳减排量等34个核心字段。数据可全面反映绿电生产、存储、消纳及碳减排全过程，支持PUE优化、绿电消纳率分析、碳收益核算及分时电价策略评估，具有较强的时效性、完整性和可追溯性，适用于算力中心绿色低碳运营监测与碳资产管理。

Real-time Energy Consumption and Carbon Emission Reduction Dataset for Green Power Adaptation in Data Centers covers three core scenarios of data center energy operations: photovoltaic power generation, energy storage and electric vehicle charging piles. It contains 34 core fields, including collection timestamp, station number, domain ID, total power generation, inverter output power, grid-connected electricity volume, self-consumed electricity, charging electricity volume, discharging electricity volume, time-of-use (TOU) electricity price, power generation revenue, energy storage revenue, carbon emissions, corporate carbon emission reduction and other relevant indicators. The dataset comprehensively reflects the entire lifecycle of green power production, storage, consumption and carbon emission reduction, and supports applications such as PUE optimization, green power consumption rate analysis, carbon revenue accounting and time-of-use electricity price strategy evaluation. It features strong timeliness, completeness and traceability, and is suitable for green and low-carbon operation monitoring and carbon asset management of data centers.

搜集汇总

背景与挑战

背景概述

该数据集聚焦算力中心的绿色电力适配，涵盖光伏、储能和充电桩三大能耗场景，包含34个核心字段，如发电量、消纳量和碳减排量，能够全面追踪绿电生产、存储、消纳及碳减排的全过程。它具有较强的时效性和可追溯性，适用于算力中心的低碳运营监测、PUE优化、碳资产管理以及政府监审等场景，支持能源效率提升和碳排放精准核算。