About Us

EnerScale is a data-driven B2B End-of-Life (EoL) analysis platform for the solar energy industry to promote the reuse and recycling of solar PV panels. Utilizing AI and data mining techniques, the B2B platform enables pre-assessment of early retired or EOL solar panels, for example, whether a solar panel can be reused or needs to be recycled. This will be achieved by analyzing solar panels early in the operational phase — by visualizing data of active solar panels and analyzing the condition of solar panels and their degradation levels using solar production data and metadata. From off-grid solar systems to mega solar power plants, we help businesses reduce their e-waste and make their solar energy efforts circular and more sustainable.

BACKGROUND

The world needs to step up its efforts to shift to renewable energy to fight climate change. According to the International Renewable Energy Agency (IRENA), in order to keep the 1.5 Celsius target alive, the global solar PV installed would have to reach more than 14,000 GW by 2050. Furthermore, there are still nearly 2 billion people in the world today without access to reliable electricity. Particularly in the developing world, affordable renewable energy sources could play a major role. On the other hand, IRENA and IEA-PVPS predict that cumulative solar PV waste will reach 78 million metric tonnes globally by 2050. To avoid the mass disposal of solar panels, it is urgent to establish a solar reuse and recycling market.

CHALLENGES

The secondary market for solar panels faces challenges similar to those in the used car market—commonly referred to as a "lemon market." Accurately determining a product’s true value requires significant financial and human resources. In addition, used solar panels must be sorted, tested, and repaired in compliance with industry safety standards. As a result, many panels that remain functional are discarded. Although progress has been made in reuse and recycling in recent years, key environmental impacts—such as those associated with manufacturing, recycling, and premature decommissioning—are often overlooked from a life cycle assessment (LCA) perspective. EnerScale’s initial screening process addresses these inefficiencies by analyzing and evaluating solar panels before transactions take place, thereby supporting a more transparent and efficient circular economy.

TECHNOLOGY

EnerScale is a lifecycle assessment platform that leverages data analytics technologies—including AI—to evaluate solar panels using metadata and power consumption data. By integrating external data sources such as weather patterns and geographical conditions, the platform analyzes and predicts key performance indicators, including degradation, soiling, and lifespan across diverse environments and regions. Following assessments for reuse or recycling, EnerScale evaluates each panel’s performance, environmental impact, and economic value when reused. The platform applies research-based, reliable evaluation criteria, enhancing the accuracy and credibility of its solar panel assessments.

EnerScaleClosed BETA Version 7.2

A Data-Driven Life-Cycle Assessment Platform for Building a Circular Economy for Solar PV Panels

Data Assessment (Performance Evaluation)

Users can review evaluation results related to degradation, dirt, and other performance metrics for each solar panel or site by uploading metadata and power generation data to the EnerScale platform. The trial version v1.5, with limitations on degradation and dirt assessments (limited data and features), is available here.

Performance Prediction for Second-Life Solar Panels

EnerScale predicts the power generation performance of solar panels intended for reuse at new installation sites by leveraging data assessments conducted on the EnerScale platform. Performance simulations can be run using geographic coordinates, regardless of location. A limited trial version (v1.5), currently available only for new panels, is available here.

Assessment of Environmental Life Cycle and Economic Value

EnerScale conducts a quantitative assessment of the environmental life cycle of solar panels based on data analysis, considering their remaining lifespan. The evaluation includes scenarios such as replacement, repair, and reuse. Additionally, the platform calculates the economic value to determine whether the pricing justifies the costs.

Rich Data Sources

EnerScale utilizes diverse data for assessment, performance prediction, and environmental evaluation. The platform integrates with extensive data sources, including over 50 datasets and more than 100 variables, enabling users to perform comprehensive analyses with minimal input data.

Scalability

This platform enables the expansion of functions to meet users' needs, including registering and analyzing multiple sites, integrating data based on coordinates, and adding power generation data from a single day. Consequently, EnerScale achieves scalability across registrations, regions, and data operations.

Customization

We provide enterprise services, including API (Application Programming Interface) solutions by function, OEM (Original Equipment Manufacturer) solutions tailored to building regional circular economies, and AI predictive model development.

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