Part II – CNEUCN 5th Scientific Committee

Digital Twin & AI contribution to Decarbonization – 2026 Plan
数字孪生与人工智能助力建筑减碳——2026 年度规划

Introduction：
In this second newsletter on the 5th Annual Meeting of the CNEUCN Scientific Committee and Business Partners, it will be covered in detail the technology-driven presentation by Akila (part of the Aden Group), the discussions it triggered, emerging opportunities and cooperation prospects, and the next steps for CNEUCN in 2026 and beyond. While Part I described high-level visions on urban renewal, sustainability, and network expansion, this Part II dives into concrete innovations: digital-twin platforms, AI-enabled building operations, decarbonization through data — showing how technological transformation is becoming a key pillar of CNEUCN’s strategic agenda.
引言
本期通讯作为 CNEUCN 第五届科学委员会与合作伙伴年会的第二部分，重点介绍 Akila（埃顿集团旗下公司）所带来的技术驱动型专题报告、由此引发的讨论、合作机遇，以及CNEUCN在2026年及未来的行动方向。第一部分聚焦城市更新、可持续发展、低碳转型与网络拓展的宏观愿景，而第二部分则深入具体技术创新，包括数字孪生平台、AI 建筑运营以及数据驱动的减碳机制，展示技术如何成为CNEUCN未来战略发展的核心支柱。

Spotlight Presentation: Akila – Digital Twin & AI for Building Decarbonization
Akila is the digital-solutions arm of the French Aden Group. The Aden Group operates across several business lines — from facility management (cleaning, security, catering) through Aden Service, to energy investments and industrial park development via Aden Energies and “Next Park.”

• Under “Next Park,” Aden invests in land acquisition and factory construction, then leases factories to clients — relieving companies from heavy upfront investment. In China, several such factory lease-back projects are already operational.
• Akila represents the “digital twin + AI + data” front — providing clients worldwide with cloud-native tools to manage, monitor, and decarbonize built environments. The team spans multiple geographies: about 150 people working across Shanghai, Hanoi, Singapore, Australia, USA, and Europe.

Mr. Zhu Wenhua (Deputy GM, Akila China) introduced Akila’s platform and its potential to revolutionize building management, sustainability, and ESG compliance.
焦点报告：Akila —— 数字孪生与人工智能助力建筑减碳
Akila 是法国埃顿集团的数字化解决方案部门。埃顿集团业务板块多元，包括由 Aden Service 提供的设施管理服务（保洁、安保、餐饮等），以及由 Aden Energies 与 “Next Park” 执行的能源投资与产业园区开发项目。

• 在 “Next Park” 模式下，埃顿集团投资土地收购与工厂建设，再将其租赁给工业客户，实现企业免除前期资本投入的压力。目前此类项目已在中国多个区域落地运行。
• Akila 是埃顿集团在数字孪生、AI 及数据智能领域的核心创新平台，为全球客户提供云原生工具，用于监控、管理并推动建筑环境的低碳运营。团队布局全球，包括上海、河内、新加坡、澳大利亚、美国及欧洲多地的约 150 名专业人员。

Akila 中国区副总经理朱文华先生发表主旨报告，介绍 Akila 平台的核心功能，以及其在建筑管理、可持续运营与 ESG 合规中的变革潜力。

Key Challenges in Built Environment & Why Digital Twins Are Needed
Mr. Zhu opened by highlighting a systemic problem: less than 10% of buildings worldwide have reliable operational data. This data scarcity severely limits:

• ability to benchmark or optimize energy consumption, HVAC performance, lighting, air quality;
• Carbon accounting and ESG reporting;
• retrofit planning based on actual usage or occupancy patterns;
• compliance with evolving regulations and standards on sustainability and environmental performance.

Traditional simulation tools — often fragmented, disconnected from actual operations, and too slow for real-time use — fail to address the increasingly dynamic demands of building management. For multinational companies, additional barriers arise: varying data-governance regimes, regulatory constraints on data transfer (especially CCTV and personal data), and lack of standardized interfaces across regions.
Akila’s mission, therefore, is to fill this “data blind spot” by building a unified real-estate data & AI platform capable of delivering operational insights, predictive control, and autonomous building management — globally, and within regulatory compliance.
建筑环境面临的核心挑战与数字孪生的重要性
朱文华先生首先指出了当前建筑领域普遍存在的系统性问题：全球不到 10% 的建筑拥有可靠的运营数据。数据的缺失直接导致多个关键能力受限，包括：

• 能耗、暖通（HVAC）性能、照明与空气质量的基准评估与优化能力；
• 碳排放核算与 ESG 报告的准确性；
• 基于真实使用行为或占用模式的既有建筑改造（retrofit）规划；
• 对不断升级的可持续发展及环境绩效法规的合规性响应。

他进一步指出，传统模拟工具往往存在碎片化、与实际运营脱节、无法实时响应等问题，难以满足当今建筑管理对动态性和精准性的要求。对于跨国企业而言，挑战更加复杂：不同国家的数据治理体系、跨境数据传输限制（尤其是涉及 CCTV 或个人数据）、以及区域间缺乏统一标准的系统接口，都构成额外障碍。
因此，Akila 的使命是通过构建一个统一的房地产数据与 AI 平台，弥补行业长期存在的“数据盲区”，并在符合各地监管要求的前提下，为全球建筑资产提供运营洞察、预测性调控以及自主化管理能力。

Akila’s Digital Twin & AI Architecture
Akila’s platform is built on a modern, cloud-native, globally deployable architecture: using Microsoft Azure for regional data governance, and NVIDIA Omniverse for real-time, GPU-accelerated simulation and rendering. The platform offers:

• AI-driven diagnostics: detecting inefficiencies, carbon-hotspots, and system anomalies;Real-time simulation: modelling HVAC, lighting, airflow, human occupancy and flow, micro-climate, and energy use — enabling “what-if” analyses and performance forecasting;
• Conversational AI agents: allowing facility managers to query building data directly (e.g. “What is the current energy consumption of Building A? Where are the peak loads? Which zones are under-utilized?”) — replacing manual data collection and fragmented reporting;
• Portfolio-first management logic: allowing networked owners/operators to monitor hundreds or thousands of assets in parallel, benchmark performance, identify underperforming units, and prioritize retrofits or optimization efforts.

According to Akila, this architecture can yield 20–40% energy savings through algorithmic optimization of HVAC, lighting, and operational schedules — focusing on software and management intelligence rather than hardware replacement.
Akila 的数字孪生与 AI 架构
Akila 的平台基于现代化、云原生、可全球部署的技术架构构建：在区域数据治理层面依托 Microsoft Azure，在实时仿真与渲染方面采用 NVIDIA Omniverse 的 GPU 加速能力。该平台可提供以下核心功能：

• AI 驱动的诊断能力：识别系统中的低效点、碳排放热点以及潜在运行异常；
• 实时模拟功能：对暖通（HVAC）、照明、气流、人员占用与流动、微气候以及能耗进行实时建模，用于开展“情景假设”分析与性能预测；
• 对话式 AI 代理：让运营管理者能够直接以自然语言查询建筑数据（例如：“A 楼当前能耗是多少？”“峰值负荷点在哪里？”“哪些区域利用率不足？”），从而取代人工收集数据与分散式报告流程；
• 资产组合管理逻辑：支持大型资产持有者或运营方并行监测数百甚至数千个建筑，开展性能基准对比，识别表现欠佳的资产，并优先安排改造或优化工作。

Akila 表示，通过对 HVAC、照明及运营时序进行算法级优化，该平台架构可实现 20–40% 的能耗节省，重点依赖软件智能与管理优化，而非成本高昂的硬件替换。

Demonstration Cases — From Campus to Transit Hubs
To illustrate the platform’s scalability and versatility, Mr. Zhu presented two flagship reference projects:

• UM6P University (Morocco) — a campus-wide digital twin integrating CCTV-based occupancy modelling, environmental simulation, security analytics, and energy optimization.
• Monaco–Monte Carlo Station (managed by SNCF, France) — a high-density transit hub serving up to 50,000 passengers/day. Here, the digital twin supports passenger-flow prediction, ventilation and lighting simulations, emergency evacuation modelling, and energy-efficient environment control.

These case studies show Akila’s capacity to deliver high-fidelity, GPU-accelerated simulations at building and district (or campus / infrastructure) scale, making it a candidate platform for high-density, energy-intensive, or legacy-asset renewal projects.
示范案例 —— 从大学校园到交通枢纽
为展示平台在不同场景下的可扩展性与适用性，朱文华先生介绍了两个具有代表性的国际项目案例：

• 摩洛哥 UM6P 大学 —— 构建覆盖整个校园的数字孪生系统，集成基于 CCTV 的人员占用建模、环境模拟、安全分析与能源优化等功能。
• 摩纳哥—蒙特卡洛火车站（由法国国铁 SNCF 运营） —— 每日客流量高达 5 万人的高密度交通枢纽。数字孪生平台在该项目中用于预测客流、模拟通风与照明、构建应急疏散模型，并提升整体环境的能源效率。

这些案例展示了 Akila 能够在建筑级、园区级乃至基础设施级场景中，提供高保真、GPU 加速的实时仿真能力，使其成为未来高密度、能源密集型或需要存量资产更新项目的理想技术平台。

Discussion Highlights — Feedback, Concerns, and Collaboration Interests
The presentation triggered a lively, multi-stakeholder discussion, reflecting diverse expectations and real-world constraints. Key points included:

• Technical praise & further development potential — Prof. Otthein Herzog, a leading AI researcher, described Akila’s architecture as “very impressive,” and suggested exploring deep neural network models to further accelerate simulation performance — potentially replacing full physical simulations with learned, fast-executing predictive models. He proposed deeper technical exchanges on AI-agent frameworks and modelling approaches.
• Data governance and regulatory questions — Ms. Emily Luo expressed concern over data compliance in China: will local authorities approve the necessary data collection, especially CCTV-based occupancy data? Similarly, Ms. Yifan Shen asked how cross-border data transfer would be managed for companies subject to both EU and Chinese privacy and data laws.
• Practical constraints and solutions — Akila clarified that for China-based clients, data and operations would run on Azure China (Beijing Region) to comply with national data-localization regulations. For European/global clients, data would remain within Azure EU/US/SEA depending on compliance needs. Cross-border data exchange — if required — would only involve anonymized, whitelisted data. CCTV-based analytics would use privacy-preserving models (e.g., masking personal identities while maintaining occupancy and flow analytics), addressing privacy concerns while enabling functional building intelligence.

讨论亮点 —— 技术反馈、顾虑与合作意向
该报告引发了来自多方利益相关者的热烈讨论，反映出行业在技术期待、政策合规与实际应用上的多元需求与现实制约。主要观点包括：

• 技术高度认可与进一步发展空间 —— 国际知名人工智能专家 Otthein Herzog 教授 对 Akila 的架构给予“非常出色”的评价，并建议进一步探索深度神经网络模型，以提升仿真速度与效率，甚至有潜力以预测性模型替代部分物理仿真过程。他同时表示希望与 Akila 开展更深入的技术交流，包括 AI-Agent 框架与建模方法。
• 数据治理与监管合规问题 —— 罗岩女士关注 Akila 在中国的合规性问题：当地政府是否会批准必要的数据采集，尤其涉及基于 CCTV 的人员占用数据？沈亿璠女士亦提出类似疑问，即跨国企业在同时遵守欧盟及中国隐私与数据法规的情况下，跨境数据传输将如何被管理。
• 现实约束与应对方案 —— Akila 澄清：面向中国本地客户，数据与平台运行将全部在 Azure 中国（北京区域） 部署，以满足国家数据本地化要求；面向欧洲及全球客户，数据将依据合规需求存储在 Azure EU/US/SEA 等区域。跨境数据交换如有必要，仅限匿名化与白名单机制下的合规数据类型。同时，基于 CCTV 的分析将采用隐私保护模型（如遮蔽个体特征但保留占用量与流动模式分析能力），在保障隐私的前提下实现建筑智能化运营。

Emerging Opportunities & Strategic Prospects for CNEUCN Team
The discussion and presentation opened a wide spectrum of promising opportunities for CNEUCN and its partners — combining digital innovation, sustainability, retrofit, and global cooperation.
Key emerging paths include:

1. Building-Level Decarbonization Through AI & Digital Twins
2. District-Scale / Campus-Scale Smart Communities & Pilot Projects
3. Cross-Partner Collaboration (Tech + MEP + Design + Standards)
4. Technical Follow-Up & Pilot Working Group

对 CNEUCN 的机遇与战略前景
本次展示与讨论为 CNEUCN 及其合作伙伴 带来了多维度且极具潜力的合作机遇，涵盖数字创新、可持续发展、既有建筑改造以及国际协同等多个方向。
由此衍生的关键发展路径包括：

1. 基于 AI 与数字孪生的建筑级减碳
2. 园区/校园级智慧社区试点
3. 跨伙伴合作（设计 + 技术 + MEP + 标准）
4. 技术跟进与试点项目工作组

Open Session & Strategic Planning for 2026 & Ahead
The open-session at the end of the meeting provided a forum to align strategic directions and plan key upcoming initiatives:

• A dedicated panel at the upcoming conference China Goes Global Conference — scheduled at the South China University of Technology (Guangzhou) in September 2026 — to highlight CNEUCN’s cross-sectoral expertise and present urban-renewal case studies;
• Development of an Oriental Senter Innovative Technologies & Materials Showroom — envisaged as a physical hub where CNEUCN partners can connect, demonstrate technologies, share best practices, and explore joint sustainable-construction projects;
• Continued emphasis on integrated solutions — blending academic research, industrial capacity, design, technology, materials supply, consultancy, finance — to realize sustainable, decarbonized, resilient urban development.
• Push for Integrated, End-to-End Solutions — the consensus emerging from the meeting is clear: the future of sustainable urbanization lies not in siloed technologies, but in holistic, integrated packages — spanning design, materials, technology, digital management, energy systems, mobility solutions, waste and water management, financing, compliance. CNEUCN’s strength is precisely in offering such a comprehensive multi-disciplinary, cross-border network.
• For 2027: the next edition of the Europe China Green Building Forum (organized every two years) — with a more focused format: thematic sessions around urban renewal, industrial heritage reuse, smart buildings, digital twins, sustainable materials, circular construction, and integrated urban mobility; 

As the world accelerates toward decarbonization, clean energy, and sustainable urbanization, CNEUCN aims to remain at the forefront — providing strategic insight, technical support, cross-regional cooperation, and practical partnership frameworks.
2026 年及未来规划
会议末尾的开放讨论环节为与会成员提供了统一战略方向、规划未来重点工作的机会，主要共识与行动点包括：

• 参加2026 年 “中国全球化发展大会” 专题论坛 —— 该会议将于 2026 年 9 月在华南理工大学（广州）举办，CNEUCN 将以专场形式展示其跨领域专业优势，并分享城市更新的典型案例；
• 建设“东方盛德创新技术与材料展示中心” —— 该展示中心将作为实体化的合作枢纽，使 CNEUCN 各方成员能够在此交流、展示技术、分享最佳实践，并共同探索可持续建筑项目与跨行业协作模式；
• 持续强化综合集成式解决方案—— 融合科研、产业能力、设计、科技、材料供应、咨询与金融资源，为城市的可持续化、低碳化与韧性发展提供端到端的一体化路径；
• 推动系统性、端到端的城市可持续发展方案—— 与会成员达成明确共识：未来的可持续城市建设不再依赖单一技术，而是需要覆盖设计、材料、技术、数字化管理、能源系统、交通、废弃物与水资源处理、融资以及合规在内的整体性、集成式方案。CNEUCN 的优势正是在于以跨学科、跨地域的网络能力提供这一完整框架；
• 2027 年欧洲—中国绿色建筑论坛（每两年举办一届）—— 下一届论坛将采用更聚焦的结构，围绕城市更新、工业遗产再利用、智慧建筑、数字孪生、可持续材料、循环建造及综合城市交通等主题开展深度讨论。

随着全球加速迈向减碳、清洁能源与可持续城市化的新时代，CNEUCN 将继续保持前沿地位，为中欧合作提供战略洞察、技术支持、区域对接与可落地的合作机制。

Closing Remarks & Call to Action from the Secretary General
At the conclusion of the session, Secretary General Bagnasco reiterated the core value of information sharing and proactive engagement. As the global demand for decarbonization, ESG compliance, and sustainable infrastructure intensifies, CNEUCN stands at the frontier — uniquely positioned to connect Chinese and European partners across technology, design, finance, and governance.
“Let us harness today’s innovation — digital twins, AI, retrofit intelligence, and system integration — to build tomorrow’s sustainable, efficient, resilient, and human-centered built environments” Bagnasco said.
He expressed sincere gratitude to all attendees — particularly to Chairman Wang, G.M. Wu, the entire BOS team, and every participating partner — for their strong support, constructive input, and collective vision, which made the 5th Annual Meeting a success and laid solid groundwork for future action.
The meeting concluded with an offline networking dinner among the in-person participants — a valuable opportunity to deepen personal connections and further discuss the collaborations informally.
秘书长总结与行动号召
在会议的总结环节中，秘书长 Bagnasco 再次强调了信息共享与积极参与的核心价值。他指出，随着全球对减碳、ESG 合规以及可持续基础设施的需求不断增长，CNEUCN 正处于发展的前沿位置，能够在科技、设计、金融与治理等多个维度，将中欧伙伴紧密连接起来，发挥独特的桥梁作用。
Bagnasco 表示：“让我们把握当下的创新成果——包括数字孪生、人工智能、既有建筑智慧化改造以及系统集成能力——共同打造面向未来的可持续、高效、韧性且以人为本的建筑环境。”
他向所有参会成员表达了诚挚的感谢，特别是向王主席、吴总经理、BOS 团队以及各位合作伙伴致以谢意，感谢他们的支持、建设性意见与共同愿景，使第五届科学委员会年会取得圆满成功，并为后续合作奠定了坚实基础。
会议最终在一场线下交流晚宴中落下帷幕，与会人员在轻松的氛围中进一步加深了彼此的联系，并围绕潜在合作展开了更深入、非正式的讨论。