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Cleanliness and Energy Efficiency: The "Win-Win" Principle of Clean Production Facilities

2026/9/16

The energy consumption of clean workshops is typically 5-10 times that of ordinary workshops, accounting for 40%-60% of the total energy consumption of the workshop. To achieve energy savings while maintaining cleanliness, the core lies in transitioning from the traditional "excessive design and extensive operation" to "precise control and comprehensive efficiency optimization throughout the life cycle". Here are the core strategies for achieving both cleanliness and energy savings:
01 Systematic Design and Space Optimization
Precisely define cleanliness levels: Avoid "one-size-fits-all" excessive purification. Based on the actual process requirements, reduce the volume of high-cleanliness spaces or adopt micro-environment/mini-environment technologies. For example, in automated production lines, make the internal environment of key equipment reach extremely high cleanliness, while maintaining a lower cleanliness level in large workshops, thereby significantly reducing air circulation volume and fan energy consumption.
Airflow organization simulation optimization: Use computational fluid dynamics to simulate the airflow direction in the workshop, precisely locate the positions of air supply and return, eliminate vortex dead zones and air flow short circuits. After optimization, under the same cleanliness level, the number of air changes can be reduced by 10%-15%, significantly reducing fan energy consumption.
Strengthening the airtightness of the enclosure structure: Use high-insulation core materials for color steel plates and perform double sealing treatment. Seal and glue the gaps in doors and windows, and pipes penetrating walls. A leakage rate reduction from 5% to 1% can reduce air conditioning energy consumption by 8%-10%, preventing external pollution from seeping in and causing the purification system to "ineffectively work".
02 HVAC and Power System Innovation
Variable Air Volume (VAV) and Variable Frequency Control: Abandon the "fixed frequency full-load" extensive mode, adjust the air supply volume in real time based on indoor particle concentration, pressure difference, or personnel quantity. The power consumption of a fan is proportional to the cube of its speed. When the air volume is halved, the power consumption can be reduced to 30% or less, achieving an energy-saving effect of 20%-40%.
High-efficiency Motors and Low-resistance Filters: Replace traditional AC fan filter units (FFU) with high-efficiency EC motors, with operating efficiency increasing from 40%-50% to 70%-80%. At the same time, select low-resistance filter materials to reduce system air resistance, reducing the static pressure load of the fan at the source and reducing fan energy consumption.
Independent Temperature and Humidity Control: Use rotary dehumidification, solution dehumidification, etc., to avoid the "counterproductive" control waste in traditional air conditioning systems, such as "excessive cooling for dehumidification followed by electric heating for temperature rise", significantly improving energy efficiency.
03 Energy Recovery and Resource Circulation
Exhaust Air Full Heat Recovery: The air expelled from the cleanroom 24 hours a day contains a large amount of cold and heat energy. Through rotary full heat recovery devices or heat pipe heat exchangers, recover the sensible and latent heat in the exhaust air for pre-treatment of fresh air, with a heat recovery rate of up to 60%-80%, significantly reducing new air treatment energy consumption.
Process Heat Utilization: For exhaust air from high-temperature processes such as lithography and baking, add heat exchangers to recover heat, which can be used for workshop humidification, preheating boiler water, or building heating, achieving energy cascade utilization.
04 Intelligent Operation and Predictive Maintenance
AI Intelligent Environmental Control Platform: Introduce AI algorithms and edge computing, combined with IoT sensors to monitor environmental parameters in real time. The system can predict load changes (such as the startup of high-heat equipment, the arrival of rainy seasons), dynamically allocate cold, hot, and humid treatment resources, achieving "on-demand energy supply".
Scenario-based Mode Linkage: Implement access control and production shift scheduling linkage. During periods of no one, night shifts, or production suspension, automatically switch to "on-duty mode", significantly reducing air change frequency to maintain basic positive pressure and avoid "overworking with underpowered equipment" energy waste.
Predictive Maintenance of Equipment Status: Through online monitoring of filter pressure differences, sensor aging degree, etc., dynamically compensate for deviations and precisely alert for replacement when resistance reaches the threshold, avoiding additional energy consumption due to blind cycle-based replacement or equipment performance decline.
05 Digital Health Check Prioritization
Before any energy-saving renovation, it is essential to first establish the "environmental digital archive" of the workshop. By conducting 24-hour comprehensive monitoring of temperature, humidity, pressure difference, wind speed, particle count, etc., the energy consumption hotspots (such as hidden air leaks and air flow dead zones) can be accurately located. Using real data to drive the design, instead of blindly "building walls and replacing equipment", it can save 10% - 20% of the renovation costs and avoid unnecessary detours.