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MurrCloud MurrCloud木耳云 Carbon Intelligence碳排放智能计算
Carbon Intelligence碳排放智能计算 / Project vision项目构想 Proposed project拟建方案

Make storage carbon data explainable.
Make every judgment traceable.
让储能碳数据可解释,
让专业判断有据可循。

MurrCloud proposes a connected workspace for energy-storage carbon accounting and assurance learning: from materials and energy records to calculation, evidence review and professional judgment.木耳云拟为新型储能碳核算与鉴证教学构建贯通式工作空间:从物料与能源记录出发,连接计算、证据核查与专业判断。

Concept illustrations below explain the proposal. Storage-specific functions are planned, rather than a claim of an operational or certified system.下方概念示意用于说明拟建方案。储能专项功能处于规划阶段,不代表系统已完整上线或取得认证。

MURRCLOUD / ENERGY STORAGEConcept概念示意
Physical system → data → calculation → review实体系统 → 数据 → 计算 → 核查01 / 03
01Lifecycle understanding生命周期核算理解02Evidence-led investigation以证据驱动交叉核查03Judgment & reflection报告判断与反思复盘
MurrCloud's proposed contribution木耳云拟承担的工作

Connect the data.
Preserve the reasoning.
连接业务数据,
保留判断依据。

Translate the teaching design into reusable software services, with each input, factor, approval and output linked to its source.将教学设计转化为可复用的软件服务,使每项输入、因子、审核与输出均能关联其来源。

01 / DATA

A shared data foundation统一碳数据底座

Link products, BOMs, batches, manufacturing, purchasing and energy records. Keep quantities, units, boundaries and source documents together.关联产品、物料清单、批次、生产、采购与能源记录,统一管理数量、单位、核算边界和原始单据。

02 / METHODS

Versioned calculation services可复现的计算服务

Separate lifecycle and regulatory methods, with explicit factor versions, allocation choices, data quality and applicability checks.分别管理生命周期与法规核算方法,明确因子版本、分配选择、数据质量及适用条件。

03 / EVIDENCE

Review and evidence trails审核与证据链

Connect evidence, reviewer decisions and calculation snapshots. Prepare working papers and traceable report bundles for human review.串联证据材料、审核决定与计算快照,形成可供人工复核的工作底稿和可追溯报告资料包。

04 / AI

Guided AI assistance有依据的 AI 辅助

Retrieve cited knowledge, suggest factor matches and flag gaps. Record useful explanations and references for the learner to assess.检索带引用的知识、建议因子匹配并提示缺口,保留可供学习者评估的说明与参考依据。

05 / SCENARIOS

Adaptive learning scenarios自适应实验场景

Configure chemistry, boundary, evidence quality and risk scenarios. Route missing evidence or calculation differences into follow-up tasks.配置化学体系、核算边界、证据质量与风险情景,将证据缺失或核算差异转化为后续调查任务。

06 / FEEDBACK

Learning and quality feedback教学与质量反馈

Plan role-based workspaces, step histories, competency feedback and instructor review, so decisions can be discussed and replayed.规划分角色工作台、步骤记录、能力反馈与教师复核,使实验决策可讨论、过程可回放。

Existing foundation现有基础

The Carbon Intelligence platform already provides a shared carbon data foundation, an approval/calculation demonstration and public calculators.碳排放智能计算平台已具备共享碳数据基础、审批与计算演示及公共计算器。

Proposed extension拟建扩展

Battery lifecycle models, storage scenarios, guided assurance exercises and learning analytics require further implementation and validation.电池生命周期模型、储能场景、鉴证实训与学习分析仍需进一步开发和验证。

Proposed architecture拟建系统架构

One evidence chain.
Clear method boundaries.
贯通证据链,
明确方法边界。

Follow the storage system across its lifecycle while keeping each method's purpose, functional unit and rule set explicit.追踪储能系统全生命周期,同时明确每种方法的用途、功能单位与规则版本。

01

Materials原材料

Cells · metals · components电芯 · 金属 · 零部件

02

Manufacturing生产制造

Processes · energy · yield工序 · 能源 · 良率

03

Distribution分销运输

Distance · mass · mode距离 · 重量 · 方式

04

Use使用运行

Service · losses · lifetime服务量 · 损耗 · 寿命

05

End of life生命末期

Recovery · disposal · assumptions回收 · 处置 · 假设

DATA FOUNDATION

Activities + factors + evidence + versions活动数据 + 因子 + 证据 + 版本

A shared record of the source, unit, period, boundary and review status.统一记录来源、单位、期间、边界与审核状态。

Product lifecycle route产品生命周期路径

A defined battery carbon footprint边界明确的电池碳足迹

Choose applicable standards, product category, functional unit, allocation and data-quality requirements before calculating.先明确适用标准、产品类别、功能单位、分配方式与数据质量要求,再开展核算。

CBAM scope gateCBAM 适用性闸门

Check the CN code first先核对 CN 编码与商品范围

Assess covered goods and relevant precursors separately. Do not assume a battery or storage system is a covered CBAM good.分别评估受管制商品及相关前体材料,不预设电池或储能系统属于 CBAM 商品。

Rules & workflow规则与工作流Scope check → calculation → evidence review → report preparation适用性检查 → 计算 → 证据复核 → 报告准备

Conceptual architecture. A battery lifecycle footprint and CBAM embedded emissions use different scopes and units; they must not be presented as interchangeable results.以上为架构概念示意。电池生命周期碳足迹与 CBAM 隐含排放的范围、单位不同,不能作为可直接互换的结果。

System concept系统概念演示

From a source record
to a reviewable result.
从一张原始单据,
到一个可复核结果。

Explore three proposed workspace views using a deliberately simple electricity example. These are interface concepts, with no live submission or ledger changes.以一个简化用电示例,了解三个拟建工作台视图。以下为界面构想,不提交业务数据,也不改写台账。

MURRCLOUD / WORKSPACEIllustrative demo data虚构演示数据

Concept views
Human review required
概念视图
需人工复核

Activity record活动记录

Purchased electricity外购电力

DEMO-ENERGY-001
Bill quantity账单用电量12,000 kWh
Illustrative factor示例排放因子0.10 kgCO₂e/kWh
12,000 × 0.10 ÷ 1,000= 1.20 tCO₂e
Source数据来源
Demo electricity bill演示电费账单
Factor version因子版本
DEMO-EF-0.10 / v1
Boundary计算边界
This electricity activity only仅本条用电活动

The factor is illustrative, not an official default. This 1.20 tCO₂e result is not a battery footprint, a CBAM declaration or a verified claim.因子仅为示例,并非官方默认值。1.20 tCO₂e 仅为本条用电活动结果,不是电池碳足迹、CBAM 申报或经鉴证的声明。

Selected design views重点设计视图

Six views of the proposed system.六个视图,了解拟建系统。

Explore the intended journey from a storage-system BOM to evidence review, reporting and teaching orchestration. Select an image for a larger view.从储能系统物料清单,到证据核查、报告与教学编排,了解拟建平台的关键环节。点击图片可放大查看。

Proposed assurance learning path拟建鉴证实验路径

Practice the decisions,
not only the arithmetic.
练习专业判断,
不止于完成计算。

A repeatable scenario takes learners from engagement scope to evidence-based reporting, with instructor review and reflection throughout.通过可重复的实验情景,让学习者从业务范围界定走向基于证据的报告判断,全程融入教师复核与反思。

  1. 01

    Define the engagement界定业务

    Identify responsibilities, independence, scope, criteria and intended users.明确责任、独立性、范围、评价标准及预期使用者。

  2. 02

    Set the scenario配置情景

    Select chemistry, lifecycle boundary and functional unit; assess regulatory scope.选择化学体系、生命周期边界和功能单位,评估法规适用范围。

  3. 03

    Build the calculation组织核算

    Connect activity data and factor versions; evaluate quality and assumptions.关联活动数据与因子版本,评价数据质量及模型假设。

  4. 04

    Investigate risk识别风险

    Assess materiality and risks; design appropriate tests and sampling.评估重要性与风险,设计适当的测试程序及抽样方案。

  5. 05

    Evaluate evidence评价证据

    Check sources, investigate differences and request missing support.核对来源、调查差异,对缺失支持材料开展补充取证。

  6. 06

    Review and reflect复核与反思

    Prepare a draft report, justify conclusions and replay the learning path.准备报告草稿、说明结论依据,并回顾实验路径。

Proposed delivery approach拟建实施路径

Build. Validate. Expand.先建设,再验证,后扩展。

Progress through reviewable increments, starting from an agreed product scope and a small, documented reference case.从明确的产品范围和可追溯参考案例开始,以可复核的阶段成果逐步推进。

PHASE 01

Scope & data design范围与数据设计

Confirm product category, intended outputs, applicable rules, data permissions and teaching requirements.确认产品类别、预期输出、适用规则、数据授权与教学需求。

Deliverable: data dictionary + reference scenario阶段成果:数据字典与参考情景
PHASE 02

Calculation & evidence pilot核算与证据试点

Implement a bounded lifecycle model, validate arithmetic against reference calculations, and test review and traceability.实现边界明确的生命周期模型,对照参考计算验证,并测试审核与追溯流程。

Deliverable: validated pilot + review records阶段成果:经验证的试点与复核记录
PHASE 03

Learning & guided assistance实验与智能辅助

Add role-based scenarios, instructor controls, cited AI assistance and learning feedback, then evaluate with users.扩展分角色场景、教师控制、带引用的 AI 辅助与学习反馈,并开展用户评价。

Deliverable: teaching scenario + evaluation findings阶段成果:教学场景与评价结果
Standards & regulatory context标准与法规背景

Start with the right scope.先看清适用边界。

Battery rules, CBAM and assurance standards serve different purposes. Read the checked references and implementation boundaries.电池法规、CBAM 与鉴证准则各有用途。查看已核对的参考资料与实施边界。

Explore standards & scope查看标准与适用边界 →
Design prototype · Fictional data设计原型 · 虚构数据

Open full-size image查看原尺寸图 ↗

Static design illustration with fictional teaching data. Some features remain planned; rule alerts and reports are scenario examples.静态设计示意,使用虚构教学数据。部分功能尚待开发;规则提示与报告均为情景示例。