Make your renewable energy efforts circular and more sustainable.
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.
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
One of the challenges the solar energy industry faces today is that reuse and recycling of solar panels is time-, resource- and finance-intensive since used solar panels need to be discovered, collected and sorted. For reuse, panels need to be refurbished and tested according to industry safety standards. Because of these burdens and complicated processes, an overwhelming number of solar panels, even those with a remaining lifetime, end up in landfills. EnerScale envisions significantly improving the flow of the solar panel reuse and recycling market by visualizing, analyzing and evaluating active solar panels before they reach their end-of-life phase. EnerScale strives to create a global and transparent circular economy for the solar energy industry to make their renewable energy efforts more sustainable.
OUR TECHNOLOGY
Utilizing AI and data mining technology, EnerScale is building algorithms to enable companies to assess the condition of solar panels from power data. The B2B platform also helps companies systematically evaluate, identify and sort solar panels operating in different countries and environments by integrating external data sources, including meteorological and geographical data. EnerScale thus allows them to pre-assess end-of-life options for their solar panels so they can determine whether a solar panel can be reused or should be recycled.
EnerScaleClosed BETA Version 7
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
ABC can predict the power generation performance of solar panels intended for reuse at new installation sites by utilizing data assessments conducted on the ABC platform. Simulations can be run based on geographic coordinates, regardless of location. A limited trial version (v1.5), applicable only to 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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