Renewable Energy Solutions
At Jinshida, we recognize the pivotal role of renewable energy technologies in driving the global transition towards sustainable energy sources. Our suite of insulation materials, technical services, and monitoring technologies is tailored to support the successful deployment and operation of renewable energy plants worldwide.
Transformer Applications in Wind Power Generation
Jinshida's Insulation Technology Transformers utilized in renewable energy generation face unique challenges, including fluctuating loads, temperature variations, space limitations, and power quality issues. These conditions differ significantly from conventional distribution system transformers, often subjecting the transformer insulation system to heightened thermal and electrical stresses, leading to premature aging or failure. We offer a comprehensive range of heat-resistant materials designed to enhance the performance and longevity of transformers in renewable energy applications. Thermal Class: 130°C in mineral oil / 140°C in ester fluid systems High-Temperature Insulation Heat Resistance Class: 180°C.
Technical Services Optimizing on-site uptime and efficiency is paramount for the successful operation of renewable energy plants. Our technical services team delivers a spectrum of services tailored to renewable energy facilities. These include fleet and condition assessments to proactively identify potential issues and extend transformer lifespan, specification support to ensure transformers meet operational demands, and failure analysis to address worst-case scenarios. Failure Analysis Case Study: Solar Power Plant
Monitoring and Diagnostics Diagnostic evaluation of transformers is integral to effective maintenance. Jinshida offers a range of diagnostic services, including oil sampling, testing, and fleet maintenance programs conducted through our network of laboratories. Additionally, we provide training through webinars to equip operators with essential skills. Online monitoring of transformers and networks enhances advanced maintenance planning, enabling predictive maintenance strategies to maximize uptime. By leveraging accessible data, operators can optimize asset management and improve efficiency.
