Case Study – Smart Watts AI x Lanjun New Energy

Project Background

Lanjun New Energy

Lanjun New Energy Technology Co., Ltd., a high-tech enterprise under the Fortune Global 500 company Tsingshan Industrial, specializes in the R&D and manufacturing of lithium-ion batteries. Headquartered in Jiashan County, Jiaxing City, Zhejiang Province, the company primarily serves the new energy vehicle and energy storage sectors.

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Energy Saving Effect

The installation and commissioning of all hardware equipment were completed without disrupting HVAC operations. Wireless networking was adopted to ensure seamless integration with existing systems. The AI-driven control of the central air conditioning system meets end-load requirements and adheres to the temperature standards of each workshop.

Energy savings rate(%)

0 million kWh

Annual electricity savings

$ 0 USD

Annual cost savings

Carbon emissions reduction（kgCO2）

Challenges

Air conditioning system control problems

Lack of automatic control, reliance on manual adjustment, and delayed response leading to increased energy consumption.

The equipment is not energy efficient

It is impossible to automatically switch between chillers and pumps, controlling the frequency of water pumps, resulting in energy waste.

Water balance issues

The system does not achieve the equalization of the temperature of the chilled water, and the temperature difference between the near and far ends is large, and the branches are complex, so the energy consumption increases. In the computer room, the water flow and temperature of the dehumidification fresh air system, NMP, PCW and other branches cannot be monitored and distributed in real time, resulting in uneven hydraulic distribution of each branch. The factory pipeline is complex, the cold water pipeline is long and the ends are complicated, making it difficult to regulate.

Data silos

There is no complete energy management system, and limited monitoring of the operating status of HVAC equipment is currently achieved through dynamic monitoring software. The operation of the central air conditioning system completely relies on the experience of management personnel and on-site feedback for passive adjustment, and the energy consumption of the system is high.

Solution

Information Collection：

IoT technologies are used to gather temperature and humidity data from each zone, outdoor weather conditions, and equipment operating metrics such as current, voltage, load rate, and return water temperature.

Enhanced Energy Management Efficiency:

Energy data from all system links is visualized, enabling integrated AI control of energy stations and terminals.

Automated Energy Station Adjustment:

AI automation adjusts refrigeration system operations based on real-time needs to optimize energy use.

Central Control Platform:

A large-screen monitoring system provides real-time visibility into equipment status, temperature zones, early warnings, and energy consumption analytics.

AI Energy Efficiency Model Architecture:

Six AI-driven models dynamically predict and adjust cooling systems, optimize loads, balance power usage, and improve overall efficiency.

Intelligent Algorithm Application:

Each workshop floor uses algorithms to control branch flow and improve water balance. Peak shaving and valley filling algorithms balance power supply loads, shift peak consumption, smooth power curves, and reduce operating costs.

Smart Watts AI provides professional energy-saving solutions

With the Internet of Things, artificial intelligence and automation technology as the core, the company provides intelligent products and technical services for industrial, construction, environmental protection and other industries in scenarios such as energy conservation and carbon reduction, energy management and environmental monitoring, and its business covers hardware equipment research and development, algorithm model optimization and engineering implementation support throughout the chain.

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