Astronergy has updated its Australia-specific website, targeting the growing Oceania market
This website’s ‘Service & Support’ section features a directory of local distributors
It also includes a PV simulation tool
Astronergy, a well-known PV module maker and a CHINT Group subsidiary, has upgraded its Australia-focused website (astronergy.com.au) with new features to support partners and customers across the Oceania region, a promising PV market.
The redesigned website now features 2 key structural enhancements within the ‘Service & Support’ section: Distribution Network and PV Planner.
Distribution Network is a directory of distributors that is designed to enhance business-to-consumer (B2C) engagement and provide clarity for individual queries. It provides a few functional resources for users seeking commercial and technical details of Astronergy’s products. The platform allows users to filter listings by specific states and local territories within Australia and Oceania, helping localize the supply chain. Each entry provides the necessary contact details, including email addresses and phone numbers, facilitating direct commercial inquiries and logistical coordination. The platform also helps with technical support for the company’s products.
PV Planner runs a simulation to assess the feasibility of a residential PV array and calculate the expected energy yield for a specific duration. Its modeling is driven by the integration of multiple user-defined and environmental data points. A user-defined energy consumption profile, which specifies the household's typical electrical demand patterns, helps calculate system performance. It integrates site coordinates to determine the sun's angle relative to the installation, referencing calibrated regional insolation data to accurately predict PV generation throughout the day and year. In addition, the physical attributes of the installation surface, known as roof characteristics, are incorporated into the model to optimize array sizing and orientation, which directly influences the predicted maximum energy yield.