Space and Technology Synergy: How Sustainable Battery Recycling Drives the Energy Transition

How Spatial and Technological Alignment Can Unlock Sustainable Battery Recycling

The global energy transition is driving explosive growth in electric vehicles (EVs). The International Energy Agency (IEA) predicts that by 2030, the global EV fleet will reach 230 million vehicles. As the world's largest producer and consumer of EVs, China's lithium-ion battery production capacity reached 732.5 GWh in 2023, accounting for over 70% of global output. However, as batteries reach the end of their lifespan, the recycling and disposal of retired batteries is becoming a critical link in the sustainable development of the energy system.

Industry Background: Dual Pressure of Resources and Environment Under the Retire Wave

When battery capacity decays below 70% to 80% of its initial value, it is considered retired. According to the latest study in Nature Sustainability (2026), total retired batteries in China from 2020 to 2030 will reach 16.67 to 19.99 million tons, with retirement hotspots shifting from the northeast to the southwest and then to the northwest. These retired batteries contain large amounts of key materials such as lithium, cobalt, and nickel, for which China's import dependence exceeds 85%, 95%, and 90%, respectively. Without effective recycling, not only will resource security risks increase, but environmental pollution will also occur—the chemical components of lithium batteries are difficult to degrade naturally, potentially contaminating drinking water and soil, and retired batteries themselves are unstable and prone to fire. However, the current recycling system faces severe problems: China's Ministry of Industry and Information Technology has certified only 156 compliant recycling enterprises, but industry data shows there are over 50,000 active operators. Compliant enterprises handle only about 40% of retired batteries, with the rest flowing into informal channels. Due to limited technical capabilities, the latter typically consume more acids, reducing agents, and energy, leading to overlooked upstream resource consumption and emission burdens. In addition, according to the Greenhouse Gas Protocol and ISO 14064 standards, the indirect emissions of the recycling process are closely related to the local grid structure: provinces dominated by coal power may have grid emission factors several times higher than those dominated by hydropower, resulting in vastly different environmental performance for the same recycling process in different regions.

Current Development Dynamics: A Refined Analysis Framework Driven by Machine Learning

To address these challenges, the research team built a multi-scale analysis framework integrating machine learning, life cycle assessment (LCA), and spatially integrated scenario models. This framework can predict battery retirement trends at high resolution, evaluate recycling technologies, and optimize supply-demand strategies. Taking China as an example, the study covers 364 cities, over 300 recycling projects, and 24 battery chemistry systems.结果显示，虽然省际协调可将处理能力利用率提升67.12%，但单纯依靠协调无法消除退役电池供应与处理能力之间的空间错配。通过供需规划优化，可将回收过程的碳排放降低44%，锂回收率提高53%。这项研究为设计低碳高效的电池回收系统提供了量化工具。

对能源系统的影响：资源安全、碳减排与电网交互

电池回收的优化直接关系到能源系统稳定。首先，提升锂、钴、镍的回收率可显著降低对进口矿产的依赖，增强供应链韧性。其次，回收过程中的碳减排取决于能源结构：若将回收设施布局在低碳电力富集区域，并匹配清洁能源，可大幅降低回收足迹。此外，退役电池的梯次利用（如用于储能系统）还可为电网提供灵活性资源，尤其在高比例可再生能源场景下，退役电池可作为分布式储能单元，缓解电网调峰压力。

面临的挑战：空间错配、技术门槛与政策执行

尽管优化前景可观，实际落地仍面临多重挑战。一是空间错配：退役电池产生地（东部沿海城市）与回收产能集中地（中西部地区）存在地理距离，跨省运输增加物流成本和碳排放。二是技术差异：非合规企业采用的湿法冶炼工艺能耗更高，且回收率低，而先进技术（如直接回收）尚未大规模普及。三是政策执行：当前政策鼓励“就近回收处置”，但地方保护主义和监管漏洞导致效果打折。四是材料供应波动：中国电网排放因子地域差异大，若回收设施位于高碳电网区域，则可能抵消回收带来的碳减排效益。

Future Outlook：全球能源转型中的循环经济路径

展望未来5-20年，电池回收将从“末端处理”转向“系统集成”。研究提出的优化情景——通过供需规划将排放降低44%、锂回收率提升53%——为全球提供了可扩展的范式。据IEA预测，2030年全球将有约2000 GWh电池需要处理，相当于当前产能的数倍。技术方向上，直接回收技术（如直接再生正极材料）有望进一步降低能耗，而数字孪生和区块链技术可追溯电池全生命周期。政策层面，欧盟电池法规要求新电池含回收成分，中国正在完善生产者责任延伸制度，碳边境调节机制（CBAM）也可能将电池回收纳入核算。投资方面，全球电池回收市场预计2030年将超过400亿美元，资本正加速涌入低碳工艺和智能回收平台。最终，电池回收将在资源循环、碳减排和能源安全之间建立平衡，成为能源转型不可或缺的一环。

---Source Analysis: The data and conclusions in this article are derived from the peer-reviewed study "Sustainable battery recycling through spatial and technological alignment" (Tian Xi et al.) published in *Nature Sustainability* in 2026. The study quantified the spatial and environmental impacts of retired battery recycling in China through machine learning, life cycle assessment, and spatial modeling, providing a scientific basis for global battery recycling policies.