Cut Factory Power Costs with AI | RYOSHO’s AI-Driven Utility Energy Management System

In most manufacturing facilities, over half of total power consumption is driven by utility infrastructure rather than core production equipment. Strategic management and optimization of these utility systems enable significant cost savings in overall energy expenditure. R-CIC (RYODEN Cloud Intelligent Control) is an AI-driven utility optimization solution offered by RYOSHO (Thailand), focuses on the utility systems that support factory operations. It is an advanced AI system that simultaneously ensures uninterrupted supply stability, energy efficiency, and streamlined maintenance operations.

What Is an AI-Based Utility Energy Optimization System？

Our AI-driven utility energy-saving system collects and analyzes real-time energy data from target equipment.
By leveraging advanced AI technology, it dramatically transforms utility management — traditionally reliant on on-site intuition and operator experience — into a data-driven, automated optimization process.
• Real-Time Visualization: Instantly monitor load conditions and detect inefficiencies.
• Automatic Optimal Control: AI continuously selects the most efficient operating mode based on data.
• Maintained Supply Stability: AI proactively responds to sudden load fluctuations, ensuring uninterrupted and stable utility supply. Minimize operational workload while achieving carbon neutrality and cost savings at the same time.

Applicable Equipment Examplesบ
• Air Compressor Systems
• Chiller Systems (Central Air Conditioning / Water Piping Air Conditioning Systems)

By eliminating over-operation and unnecessary energy waste, the system ensures that equipment consistently performs under optimal conditions. This delivers comprehensive benefits — including factory-wide energy savings, streamlined maintenance operations, reduced manpower requirements, and improved product quality through stable and reliable performance.

▲ Example of Quantitative Value Monitoring in a Solution Deployment Scenario

Key Features & Benefits

Its primary strength lies in AI-driven optimization of target utility systems.

Key Features

• Dedicated AI control for compressor and chiller systems
• Optimal operation aligned with each facility’s equipment layout
• Energy-efficient control for stable, reliable supply
• Workforce-efficient maintenance that minimizes monitoring and routine inspection activities
• Potential qualification for BOI (Thailand Board of Investment) incentives

Key Benefits

• Reduced electricity costs
• Improved efficiency in utility management
• Elimination of dependency on individual know-how
• Safe energy savings without impacting production operations

▲ Real-Time Visualization of Equipment Performance Through a Dedicated Dashboard

A Confident Investment Backed by Industry’s Only AI-Driven Utility Optimization System 2–5 Year Payback Commitment

As energy-saving initiatives for individual equipment approach their practical limits, RYOSHO has opened a new frontier in industrial optimization: AI control dedicated exclusively to compressors and chillers. Rather than optimizing machines in isolation, it orchestrates the entire utility system as a single, integrated platform. This holistic control strategy unlocks dramatic cost reductions that partial optimization alone can never achieve.

At RYOSHO, we do not recommend investments without a clear and reliable return. Before implementation, we conduct a comprehensive analysis of your factory’s operational data and perform advanced pre-simulations using our proprietary algorithms. If our assessment concludes that a 2–5 years payback period cannot be reasonably achieved, we will not proceed with a forced proposal. By delivering a thoroughly substantiated, data-driven ROI, we empower forward-looking capital investment decisions while minimizing financial risk.

Proven Track Record Across Approximately 2,000 Companies in More Than 60 Industries

R-CIC continues to expand throughout Asia — including China, Japan, Thailand, Vietnam, and Malaysia. It is particularly valued by manufacturers requiring sophisticated energy management, such as electronics and automotive companies, and has gained high praise across diverse industrial sectors.

■ Compressor Case Study (9 Units)
Annual Power Consumption: 3,600,000 kWh/year
(= 14.4 million THB/year)
Energy Saving Rate: 7%
Annual Energy Reduction: 3,600,000 x 0.07
= 250,000 kWh/year
Annual Cost Savings: 14,400,000 x 0.07
= 1,000,000 THB/year (= 4.8 million JPY/year)
Investment (for 9 units): 20 million JPY
Simple Payback Period: 20,000,000 ÷ 4,800,000
= 4.2 years
If eligible for BOI 50% subsidy: 4.2 x 50%
= 2.1 years

■ Case Study 1: Japanese Precision Electronics Factory

• Cleanroom (24-hour operation)
• Centrifugal chillers and screw chillers controlled by AI
After implementing the AI-driven HVAC energy management system, the entire station achieved an average energy-saving rate of 37%. This resulted in an annual reduction in electricity costs of approximately JPY 60 million, clearly demonstrating substantial cost savings.

■ Case Study 2: Japanese Automotive OEM Plant
Annual Reduction:
Electricity Cost: Approximately THB 9 million per year
CO₂ Emissions: 1,089 tons per year

■ Case Study 3: Japanese Automotive OEM Factory
Approximately THB 9 million in annual energy savings

Achieving Both Stable Energy Supply and Innovative Energy Savings Through AI Technology

Optimizing energy efficiency has become an urgent global priority. Our AI-driven solution simultaneously delivers stable energy supply, energy conservation, and labor-saving automation — universal needs that transcend national and industrial boundaries.

Currently expanding across the manufacturing sector, our implementation is not limited to factories. In large-scale facilities with extensive air-conditioning systems — such as shopping malls and hotels requiring 24-hour operation — our technology is gaining serious attention as a powerful tool to reduce operational burdens while achieving substantial cost savings.

By deploying AI technology optimized for each facility type and operational environment, we remain committed to contributing to a more sustainable and energy-efficient society.

▲ Example System Configuration for Implementing This Solution in Existing Facilities

RYOSHO’s AI utility solution “R-CIC” is an advanced AI system that ensures stable factory operations while delivering reliable energy savings and labor reduction. Through advance simulation, we visualize the expected impact and present clear, data-backed proposals before implementation.

If your company is considering reducing factory electricity costs or improving utility energy efficiency, we invite you to contact RYOSHO (Thailand) for further information.

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