Below is a case study analysis of two napelem tisztító robotok (Automatic Solar Panel Cleaning Machine and Remote Control Solar Panel Cleaning Robots) based on the Malaysian market environment.
Solar Panel Cleaning Robot Malaysia Case
Malaysia, as one of the top three countries in Southeast Asia for photovoltaic installation capacity (2025 data), has its solar power stations mainly distributed in two types of areas:
- Urban Industrial Areas (e.g., rooftop photovoltaics in Kuala Lumpur Industrial Park)
- High Humidity Coastal Zones (e.g., large ground-mounted stations in Johor)
These areas face issues such as dust deposition (urban), salt spray corrosion (coastal), and bird droppings contamination, leading to an average annual power generation loss of 15-25% from photovoltaic panels. Traditional manual cleaning suffers from low efficiency (average daily cleaning capacity ≤ 200㎡) and high water resource consumption (0.5-1L of water per square meter), among other drawbacks.
Product Application Comparative Analysis
| Dimension | Automata napelem tisztító gép | Távirányítós napelem tisztító robotok |
|---|---|---|
| Core Scenario | Desert/urban power stations above 10MW | Distributed power stations below 5MW, outsourced cleaning services |
| Daily Coverage | 2,000-5,000㎡ (fully automatic operation) | 800-1,500㎡ (requires operator remote control) |
| Water Resource Consumption | Zero consumption (dry cleaning mode) | Switchable between dry and wet modes (60% water saving per㎡ when using wet mode) |
| Operational Costs | High initial investment, but 40% reduction in TCO over 5 years | Low unit price, suitable for short-term rental scenarios |
| Typical Cases | 30MW desert power station in Negeri Sembilan | Penang Solar Service Company (monthly cleaning for 12 commercial rooftops) |
Typical Application Case Description
Case 1: 30MW Desert Photovoltaic Station in Negeri Sembilan (Automatic Model)
- Project Scale: 30MW array, daily dust deposition reaching 200g/㎡
- Technical Configuration:
- Equipped with an AI path planning system that automatically avoids damaged panel areas
- Secondary cleaning achieves 98.2% cleanliness
- Waterless cleaning prevents dust from hardening (efficiency drops 7% after water washing compared to dry cleaning)
- Gazdasági előnyök:
- Annual power generation increased by 19% (from 145 million kWh to 173 million kWh)
- Savings of approximately 120,000 MYR/year in water truck transportation costs
Case 2: Penang Cleaning Service Company (Remote Control Model)
- Operational Mode: On-demand cleaning services for small and medium-sized commercial rooftops
- Technical Highlights:
- Modular design (single machine weight < 15kg) supports transportation by pickup trucks
- Dual-mode switching to address different types of pollution (water washing for mildew in the rainy season, dry cleaning for dust in the dry season)
- Bluetooth 5.0 remote control range of up to 50 meters, supporting cluster operations of 3 devices
- Market Feedback:
- Service response speed improved by 70% (compared to traditional manual services)
- Customer renewal rate of 91% (2024 data)
Technical and Economic Evaluation
- Investment Recovery Period
- Automatic model: Approximately 2.3 years to recover equipment costs in power stations above 10MW (based on electricity cost of 0.35 MYR/kWh)
- Remote Control model: In the service provider rental model, monthly rent of 1,200 MYR per device covers acquisition costs in 6 months
- Environmental Benefits
- If promoted nationwide, these two types of equipment are expected to save over 270 million tons of water annually (equivalent to the annual water usage of three Langkawi Islands)
- Reduction of high-altitude working accident rates for cleaning workers by 83% (2024 Occupational Safety Bureau report)
Market Expansion
- Automatic Model: Focus on connecting with TNB (Tenaga Nasional Berhad) for large power station projects and provide operational management services
- Remote Control Model: Collaborate with MAESCO (Malaysia Energy Services Company Association) to formulate cleaning service standards
- Technical Iteration Direction: Develop specialized models for floating photovoltaics suitable for tilt angles > 25° (aimed at the 200MW floating station under construction in the Strait of Malacca)
