零碳智慧园区全域双碳管理建设方案

一、建设理念    1、“数字+绿色”双动力助推园区协同转型。包括以下核心要素：        核心要素一： “感、 查、 枢、 孪、 信”五位一体的数字底座。        核心要素二： “源、 网、荷、 储”一体化的新型零碳绿色底座      2、数字孪生助力园区实现全域全流程碳管理  。二、建设路径    1、零碳园区的总体架构（见正文）    2、设施路径       碳排查。通过碳计量 ，直观掌握碳排放   数据 ，可视化呈现与深度分析， 以不同业态、不同碳源定期核   查 ，形成园区“碳画像”、碳   足迹、碳经济图等。       碳规划。使用数字孪生技术 ，结合综合  能源规划仿真平台 ，模拟展示  绿能规划、节能规划、负碳规  划等的实施效果 ，模拟推演碳  中和路径。       碳建设。过“一张图”方式 ，对区    域内的中小规模分布式能源    进行统一管理、协调优化 ，    智能分析故障 ，预测预警 ，    提升园区绿能管理水平。        碳优化。多能负荷预测 ，并在预测基    础上制定定制化的综合能源    优化运营策略和针对降碳优    化策略的多能运行分析。        碳交易。实时掌握园区全域的碳资产    情况 ，实时跟踪碳交易价格， 管理碳市场履约周期计划.三、建设内容    1、碳排查一屏观 -1- 碳画像。通过碳雷达 ，直观掌握碳排放数据 ，可视化呈现与深度分析碳数据 ，以不同业态、不同碳源等维度剖析 ，形成园区“碳画像”。     2、碳排查一屏观 -2- 碳源分布图。实时低碳经济[1]导航图 ，帮助园区低碳规划 ，提高低碳效率 ，实现可持续发展。    3、碳排查一屏观 -3- 碳足迹。行业碳排放总量及占比； 各年度碳排放；碳源和行业碳排放的关系及占比； 企业碳排放总量及各环节占比情况。    4、碳规划全推演 -1-绿色能源布设方案规划。选定绿色能源的布设种类 ，以光伏为例，在数字孪生场景中选定布设区域 ，设置布设 条件：智能排布、 自定义、组件品牌、组件 型号、安装方式等 ，并结合孪生场景框选障 碍物高度。 根据不同类型光伏系统的发电量及系统发电 效率 ，分析得到组件数量、系统容量、系统 年发电量、最大安装面积。为用户提供规划 方案参考。      5、碳规划全推演 -2- 减碳策略模拟。基于分布式能源铺设的总体面积、 安 装和设备情况 ，预测该分布式能源电 站未来平均年发电量及月发电走势实  现新能源发电量预测。 并实时推算新  能源利用比例和选择此方案后的二氧 化碳减排量。     6、碳规划全推演 -3- 配额管理模拟。提高园区配额使用的计划性和管理性 ，通过配额的试算、 追加、 跟踪 ，实现配额分配策略模拟 ，挖掘配额富余空间。     7、碳规划全推演 -4- 碳达峰碳中和推演。根据园区运行数据分析 ，随着园区的发展碳排放一直呈现增长趋势。因此 ，我们针对园区管理运行阶段碳排放进行了情景模拟。将碳减排措施分成四个基本类型：园区基础设施节能改造优化、 可再生能源应用 ，园区建筑电气化/电力部门脱碳/CCUS技术。以此为基础设置了5大情景：基准情景、节能情景、绿能情景、 脱碳情景和碳中和情景。     8、绿色能源运营管理 -1- 分布式绿能管理。有效监控分布式能源电站的实时运行状态 ，实时显示新能源设备的数据指标 ，如年度/月度发电情况、 区域用电占比、 实时用电数量等并基于分布式能源站的大数据积累 ，总结出发电标。      9、绿色能源运营管理 -2- 绿色能源发电能效调优。利用数字孪生和参数辨识技术、 机器学习和IoT技术对光伏电站进行定制化建模 ，利用电站内的常见传感器实时监测电站标杆发电模型，结合发电量回溯算法定位各损失环   节发电量如灰尘积雪、 阴影遮挡、组件异常衰减、 污泥带、 散热和   EPC安装质量等 ， 帮助客户进行组   串级发电能效的实时在线监测及指   标计算 ，实现直观、 低成本地对电   站整体与各组串进行在线体检和精细化能效感知系统。     10、绿色能源运营管理 -3- 能源调度策略模拟（见正文）.     11、节能降碳管理-1- 区域用能全监控。综合能效指标；园区建筑整体能耗数据；园区建筑分类能耗数据；园区建筑分项能耗数据；用户能耗数据；能源消耗指标KPI。       12、节能降碳管理 -2- 节能降碳管理。通过IOC能耗管理对采集的能耗数据做大数据分析 ，识别节能环节和空间， 并给出节能建议；通过能耗管理 ，实现节能策略的一键下发 ，实现精细的能耗管控。      13、碳交易实时查（见正文）     14、应用层 – IOC： 碳管理全域全流程可视化（见正文）。

I. Construction Concept
1. Dual Drivers of "Digital + Green" to Boost Collaborative Transformation of the Park
The core elements are as follows:
Core Element 1: Five-in-one digital infrastructure consisting of Sensing, Detection, Central Hub, Digital Twin, and Trustworthy Services.
Core Element 2: Integrated new zero-carbon green infrastructure of "Source, Grid, Load, Storage".
2. Digital Twin Enables the Park to Achieve Full-domain and Full-process Carbon Management

II. Construction Path
1. Overall Architecture of Zero-Carbon Park (see the main text)
2. Facility Path
Carbon Inventory: Through carbon metering, intuitively grasp carbon emission data, conduct visual presentation and in-depth analysis, conduct regular inspections based on different business formats and carbon sources, and form the park's "carbon profile", carbon footprint, carbon economy map, etc.
Carbon Planning: Use digital twin technology combined with a comprehensive energy planning simulation platform to simulate and display the implementation effects of green energy planning, energy-saving planning, negative carbon planning, etc., and simulate and deduce the carbon neutrality path.
Carbon Construction: Through the "one-map" approach, conduct unified management and coordinated optimization of small and medium-sized distributed energy sources in the region, intelligently analyze faults, perform prediction and early warning, and improve the park's green energy management level.
Carbon Optimization: Conduct multi-energy load forecasting, and formulate customized comprehensive energy optimization operation strategies and multi-energy operation analysis for carbon reduction optimization strategies based on the forecasting results.
Carbon Trading: Real-time grasp of the park's full-domain carbon asset status, real-time tracking of carbon trading prices, and manage carbon market compliance cycle plans.

III. Construction Content
1. Carbon Inventory One-Screen View -1- Carbon Profile: Through carbon radar, intuitively grasp carbon emission data, conduct visual presentation and in-depth analysis of carbon data, and analyze from dimensions such as different business formats and carbon sources to form the park's "carbon profile".
2. Carbon Inventory One-Screen View -2- Carbon Source Distribution Map: Real-time low-carbon economy[1] navigation map, which helps the park with low-carbon planning, improves low-carbon efficiency, and achieves sustainable development.
3. Carbon Inventory One-Screen View -3- Carbon Footprint: Total industrial carbon emissions and their proportions; annual carbon emissions; the relationship between carbon sources and industrial carbon emissions and their proportions; total corporate carbon emissions and the proportions of each link.
4. Carbon Planning Full Deduction -1- Green Energy Layout Planning: Select the types of green energy layout; take photovoltaic (PV) as an example, select the layout area in the digital twin scene, and set layout conditions: intelligent arrangement, customization, component brand, component model, installation method, etc., combined with the twin scene to frame the height of obstacles. Based on the power generation and system efficiency of different types of PV systems, analyze and obtain the number of components, system capacity, annual system power generation, and maximum installation area. Provide planning scheme references for users.
5. Carbon Planning Full Deduction -2- Carbon Reduction Strategy Simulation: Based on the total area of distributed energy deployment, installation and equipment status, predict the future average annual power generation and monthly power generation trend of the distributed energy power station to realize new energy power generation forecasting. And real-time calculate the new energy utilization ratio and the carbon dioxide emission reduction after selecting this scheme.
6. Carbon Planning Full Deduction -3- Quota Management Simulation: Improve the planning and management of park quota usage, realize quota allocation strategy simulation and explore surplus quota space through quota trial calculation, additional application and tracking.
7. Carbon Planning Full Deduction -4- Carbon Peak and Carbon Neutrality Deduction: Based on the analysis of park operation data, carbon emissions have shown a growth trend with the development of the park. Therefore, we conducted scenario simulations for carbon emissions during the park's management and operation stage. Carbon emission reduction measures are divided into four basic types: energy-saving transformation and optimization of park infrastructure, application of renewable energy, building electrification / power sector decarbonization / CCUS technology. Based on this, five major scenarios are set: baseline scenario, energy-saving scenario, green energy scenario, decarbonization scenario, and carbon neutrality scenario.
8. Green Energy Operation Management -1- Distributed Green Energy Management: Effectively monitor the real-time operation status of distributed energy power stations, display data indicators of new energy equipment in real time, such as annual/monthly power generation, regional power consumption proportion, real-time power consumption, etc., and summarize power generation indicators based on the big data accumulated by distributed energy stations.
9. Green Energy Operation Management -2- Green Energy Power Generation Efficiency Optimization: Use digital twin, parameter identification technology, machine learning and IoT technology to conduct customized modeling for photovoltaic power stations; use common sensors in the power station to monitor the benchmark power generation model of the power station in real time, combined with the power generation backtracking algorithm to locate the power generation loss links such as dust and snow, shadow occlusion, abnormal attenuation of components, sludge belt, heat dissipation and EPC installation quality, etc. Help customers perform real-time online monitoring and indicator calculation of string-level power generation efficiency, and realize an intuitive and low-cost online physical examination and refined energy efficiency perception system for the entire power station and each string.
10. Green Energy Operation Management -3- Energy Dispatch Strategy Simulation (see the main text).
11. Energy Saving and Carbon Reduction Management -1- Full Regional Energy Monitoring: Comprehensive energy efficiency indicators; overall energy consumption data of park buildings; classified energy consumption data of park buildings; itemized energy consumption data of park buildings; user energy consumption data; energy consumption indicator KPI.
12. Energy Saving and Carbon Reduction Management -2- Energy Saving and Carbon Reduction Management: Conduct big data analysis on the collected energy consumption data through IOC energy consumption management, identify energy-saving links and spaces, and provide energy-saving suggestions; realize one-click issuance of energy-saving strategies and fine energy consumption control through energy consumption management.
13. Real-Time Carbon Trading Query (see the main text)
14. Application Layer – IOC: Full-domain and Full-process Visualization of Carbon Management (see the main text).