Centralized AI Management and Optimization of Factory Utilities: EneAi⁺, RYODEN’s Proprietary AI Energy-Saving System
RYOSHO (THAILAND) CO., LTD.
EneAi⁺, the AI-powered energy-saving system offered by RYOSHO Thailand, centrally manages and optimizes factory utility equipment such as air compressors and chillers. It helps reduce electricity costs, maintain a stable utility supply, and streamline equipment management while making use of existing equipment.
Energy-saving measures in factories should address not only production equipment but also the operation of utility equipment, including air compressors, air conditioning, and cooling systems. Although these systems are essential to manufacturing operations, inefficient operating practices can lead to unnecessary electricity consumption.
EneAi⁺, offered by RYOSHO (THAILAND) CO., LTD., is an energy-saving system that uses AI and equipment data to centrally manage and optimize factory utilities. It supports energy savings and more efficient equipment management while maintaining a stable utility supply.
How Does AI Help Save Energy in Utility Systems?
EneAi⁺ collects and analyzes real-time data on equipment operating status, electricity consumption, pressure, temperature, and flow, then uses AI to optimize equipment operation.
Unlike equipment management that relies on operator experience or fixed setpoints, EneAi⁺ uses data-driven automatic control to reduce excessive operation and energy losses.
The system has three main functions:
- Real-time visualization: Monitor equipment operation and energy consumption to help identify abnormalities and waste.
- AI-driven optimal control: Automatically adjust the number of units in operation and operating setpoints according to production load and equipment efficiency.
- More efficient equipment management: Support early detection of potential failures, maintenance management, and reliable equipment operation.
The main applications are air compressor systems and chiller-based central air conditioning systems. Rather than managing each unit in isolation, EneAi⁺ controls equipment with the operating efficiency of the entire utility system in mind.
EneAi⁺ Features and Benefits
A key feature of EneAi⁺ is its ability to optimize operation using AI while making use of existing equipment.
For air compressors, for example, the system optimizes the number of units in operation and the supply pressure according to compressed air demand. In chiller systems, it coordinates chillers, cooling towers, and pumps to improve the energy efficiency of the system as a whole.
Key Features of EneAi⁺
- Centralized monitoring of operating status and electricity consumption across multiple units
- AI-based demand forecasting and optimized operating control
- Energy savings that make use of existing equipment
- More efficient maintenance management through anomaly detection and data analysis
In addition to reducing electricity costs, these features can help reduce the workload of equipment managers and lessen reliance on individual operators’ knowledge and experience.
Assessing Savings Before Implementation to Clarify the Return on Investment
As energy savings from individual units approach their limits, RYOSHO has opened up a new field: AI control specifically designed for compressors and chillers, an approach rarely seen in the industry. By managing the entire utility system as an integrated whole, this distinctive solution enables substantial cost reductions that isolated equipment optimization could not achieve.
We do not recommend investments without a clear financial benefit. Before implementation, we thoroughly analyze factory operating data and run preliminary simulations using our proprietary algorithms. If the results do not indicate a payback period within a target range of two to five years, we will not push ahead with a proposal. Another advantage is that operating improvements can be considered using the capabilities of existing equipment, without assuming a complete equipment replacement.
Air Compressor Illustration: Nine Units
Annual electricity consumption: 3.6 million kWh (THB 14.4 million/year) × 7% energy savings ≈ 250,000 kWh/year
Equivalent to approximately THB 1 million/year, or JPY 4.8 million/year
Investment: JPY 20 million for nine units
Payback period: JPY 20 million ÷ JPY 4.8 million/year = 4.2 years. With 50% BOI support, the payback period would be 2.1 years.
AI Energy-Saving Solutions Reaching Around 2,000 Manufacturing Companies
EneAi⁺ is being introduced across Asia, including China, Japan, Thailand, Vietnam, and Malaysia. It has been adopted primarily by manufacturers with advanced energy management needs, including electrical equipment and automotive manufacturers, and has gained recognition across a wide range of industries. The AI energy-saving solution has a track record at more than 2,000 manufacturing companies, mainly in China.
Case Study 1: A Japanese Automaker’s Factory in China
AI coordinates the operation of multiple air compressor stations to optimize supply efficiency. Reported results include annual electricity savings of approximately 2.42 million kWh and a reduction in CO₂ emissions of approximately 1,089 metric tons.
Case Study 2: A Japanese Precision Electronic Components Manufacturer’s Factory in China
In one project, centralized monitoring and AI control of multiple air compressors reduced equipment energy consumption by approximately 10%.
Case Study 3: A Cleanroom at a Japanese Precision Electronics Factory in China
AI control of chiller-based central air conditioning reportedly achieved average energy savings of 37% across the system and reduced annual electricity costs by approximately JPY 60 million.
These results are from installations in China. Actual savings and returns on investment vary depending on the equipment and operating environment.
Combining Reliable Utility Supply with AI-Powered Energy Savings
Effective factory energy savings require a review of the entire utility system, not just individual units. Our AI solution simultaneously addresses three needs shared across countries and industries: reliable supply, energy savings, and reduced staffing requirements. While adoption is growing mainly in manufacturing, its potential extends beyond factories.
Large facilities with extensive air conditioning systems, such as shopping malls and hotels requiring round-the-clock operation, are also actively considering the solution as a way to reduce operating workloads and achieve substantial cost savings.
At RYOSHO Thailand, we draw on the RYODEN Group’s technology and track record to propose energy-saving solutions tailored to your existing equipment and operating conditions. We can support you from the preliminary simulation stage.
If you are considering reducing factory electricity costs, optimizing air compressor or chiller operation, or streamlining equipment management in Thailand, please feel free to contact us.