Ryan Zilly
About Ryan Zilly
Ryan Zilly is a Performance Engineer with extensive experience in the renewable energy sector, currently employed at Clearway Energy Group since 2019. He specializes in analyzing solar asset performance and provides detailed metrics to enhance energy generation insights.
Work at Clearway Energy Group
Ryan Zilly has been employed at Clearway Energy Group as a Performance Engineer since 2019. In this role, he focuses on enhancing asset performance insights by estimating lost energy. He provides detailed metrics on irradiance, generation, and availability for solar assets. His work involves analyzing the performance of over 250 community solar sites within the distributed generation renewables fleet. Zilly's contributions assist operations by delivering real-time analytics and reports that support current and future project justifications.
Previous Experience at NRG Energy
Before joining Clearway Energy Group, Ryan Zilly worked at NRG Energy as a Performance Engineer for a brief period of two months in 2018. During his time in Arizona, he focused on estimating lost energy to improve asset performance insights. This experience contributed to his understanding of energy performance metrics and analytics.
Career Background at Xcel Energy
Ryan Zilly has a diverse background in engineering, having worked at Xcel Energy in various roles. He served as a Staff Engineer in Reliability and Work Management from 2015 to 2018 in the Greater Denver Area. Prior to that, he worked as a Gas Operations Engineer for one year in Denver, CO, from 2014 to 2015. His experience at Xcel Energy provided him with a solid foundation in engineering principles and operational management.
Education and Expertise
Ryan Zilly earned a Bachelor of Science (B.S.) degree in Mechanical Engineering from Colorado State University, where he studied from 2008 to 2013. His educational background equips him with the technical knowledge necessary for his roles in performance engineering. Zilly utilizes tools such as SQLServer, RStudio, and Python for comprehensive project analysis, demonstrating his expertise in data analysis and engineering applications.