Digitalization in the Renewable Energy Sector
- Phuong Ha
- Apr 2
- 5 min read
Updated: Sep 11
Since 1999, the renewable energy industry has grown at an unprecedented pace, fueled by technological innovation, supportive policies, and declining costs. By 2050, renewables are projected to surpass fossil fuels as the dominant global energy source—paving the way for carbon neutrality and long-term sustainability.
What Renewable Energy Digitalization Means
Renewable energy comes from natural, replenishing sources like solar, wind, and ocean tides. These sustainable alternatives reduce reliance on fossil fuels and help cut emissions. However, despite wind and solar now providing nearly 40% of global power demand, challenges remain. Variability in supply makes it difficult to guarantee stable, continuous energy.
This is where renewable energy digitalization comes in. By integrating digital technologies into energy systems, the sector can achieve greater efficiency, scalability, and reliability. Digitalization strengthens grid management, ensures stability, and accelerates the global transition toward clean energy.
How Digitalization Powers Renewable Energy
Digitalization is the integration of advanced technologies to transform operations, create new value streams, and optimize performance. In the context of energy, it means using smart tools to better forecast, distribute, and manage renewable power.
According to the International Energy Agency (IEA), investments in digital power infrastructure—particularly grid technologies—have grown by more than 50% since 2015. Over the past decade:
Renewable energy production has increased by 128%
Digital technology integration in power grids has risen by 147%
This parallel growth underscores how digital tools and renewable expansion are deeply interconnected.
Key Technologies in Renewable Energy Digitalization
The impact of renewable energy digitalization spans across multiple solutions:
Smart grids: Balance supply and demand in real time, ensuring grid stability even with variable renewable inputs.
AI and machine learning: Forecast energy production from solar and wind with greater accuracy.
IoT sensors: Monitor infrastructure performance, detect faults, and optimize maintenance.
Blockchain: Enable transparent and secure energy trading, especially in decentralized systems.
Each technology plays a distinct role in supporting the shift from fossil fuels to renewable, digital-first energy ecosystems.
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Benefits of Digitalization in Renewable Energy
Digitalization is transforming the renewable energy sector by enhancing efficiency, reducing costs, and improving reliability. Here are the key benefits:
Ampotech Case study: Digitalization for Smarter Energy Efficiency
Ampotech, a Singapore-based energy technology company, is a strong example of how renewable energy digitalization drives efficiency and sustainability. By integrating Artificial Intelligence (AI), the Internet of Things (IoT), and advanced data analytics, Ampotech has delivered measurable improvements across multiple energy projects.
AI-Powered Chiller Optimization
One standout solution is Ampotech Chiller Optimization, which uses AI-based forecasting to enhance cooling efficiency. The system considers real-world variables such as:
Time of day and occupancy levels
Outdoor weather conditions
Room characteristics, temperature, and humidity
AI models process these inputs to generate two key outputs: cooling load forecasts for each room and dynamic set-point adjustments. Unlike static models (e.g., ASHRAE handbook calculations), Ampotech’s solution continuously adapts using real-time sensor data. This feedback loop minimizes errors, improves efficiency, and ensures cooling systems respond dynamically to changing conditions. The result: reduced energy use, lower operational costs, and improved indoor comfort.
IoT-Based Energy Monitoring
Ampotech also offers an IoT-powered energy monitoring and management system, combining cloud computing with industrial protocols for seamless data collection and analysis. Core components include:
Sensors, gateways, and energy meters (wired/wireless) capturing real-time energy and environmental data
AmpoCloud platform for centralized storage, monitoring, and analytics
4G M2M network connectivity ensuring fast, reliable data transfer
Through IoT connectivity, businesses can track energy performance, detect inefficiencies, and optimize usage dynamically.
Integration with Building Management Systems
Ampotech’s system also integrates with Building Management Systems (BMS) via industrial protocols. This allows centralized control of devices and infrastructure, ensuring coordinated automation for maximum efficiency.
Impact of Renewable Energy Digitalization
By combining AI, IoT, cloud computing, and industrial automation, Ampotech empowers businesses to:
Optimize energy use and reduce costs
Improve equipment maintenance and reliability
Enable predictive analytics for smarter long-term energy planning
This holistic approach shows how renewable energy digitalization is not just about efficiency—it’s about creating scalable, future-ready solutions for smart buildings, offices, and industrial facilities.
Case study: AI-Powered Solar Solutions - GetSolar’s Impact on Homes and Businesses
GetSolar GetSolar, a Singapore-based company specializing in solar panel installations, is making solar adoption easier for property owners through AI-powered solar solutions. By integrating AI, IoT, and cloud technologies, GetSolar streamlines the solar project lifecycle while improving efficiency, transparency, and customer experience.
How AI-Powered Solar Solutions Simplify Adoption
GetSolar’s Solar AI digital ecosystem connects property owners, project financiers, and solar installers on one integrated platform. This ecosystem removes friction across the value chain and accelerates the adoption of clean energy.
At its core is the Solar CRM and EPC Platform, designed to manage projects end-to-end:
Solar simulator & corporate website: Uses AI-driven analytics to estimate solar potential and financial returns for property owners.
Customer portal: Provides real-time updates, project milestones, and progress tracking, increasing transparency and user engagement.
EPC coordination: Optimizes execution by streamlining communication between installers and financiers.
Leveraging IoT and Cloud for Smarter Solar
Through IoT-enabled sensors, GetSolar’s platform monitors:
Energy consumption patterns
Solar panel efficiency
Maintenance needs
This data is transmitted to a cloud-based infrastructure, enabling remote access, predictive analytics, and improved operational decision-making. The result: smarter solar management and reduced downtime.
Impact on Homes and Businesses
By combining AI, IoT, and cloud technology, GetSolar delivers measurable benefits:
Simplified solar adoption for property owners
Greater transparency for customers through real-time project tracking
Improved efficiency for installers and financiers via coordinated platforms
Enhanced long-term performance through proactive monitoring and maintenance
GetSolar’s approach demonstrates how AI-powered solar solutions are transforming both homes and businesses, making renewable energy adoption seamless, data-driven, and scalable.
The integration of big data analytics allows the system to provide predictive insights, reducing costs and improving solar deployment. Overall, Solar AI's digital ecosystem accelerates the transition to clean energy by making solar solutions smarter, more accessible, and financially viable.
Conclusion: A Digital Future for Renewable Energy
Digitalization is key to making renewable energy more efficient, cost-effective, and scalable. By leveraging AI, IoT, and blockchain, we can build a smarter, cleaner, and more sustainable energy future.
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