Ryan Hledik specializes in regulatory and planning matters related to the emergence of distributed energy technologies.
Mr. Hledik has consulted for more than 80 clients across 35 states and nine countries. He has supported clients in matters related to energy storage, load flexibility, distributed generation, electrification, retail tariff design, energy efficiency, and grid modernization.
Mr. Hledik's work has been cited in regulatory decisions establishing procurement targets for energy storage and demand response, authorizing billions of dollars in smart metering investments, and approving the introduction of innovative rate designs. He is a recognized voice in debates on how to price electricity for customers with distributed generation. He co-authored Saudi Arabia's first Demand Side Management (DSM) plan, and the Federal Energy Regulatory Commission's landmark study, A National Assessment of Demand Response Potential.
Mr. Hledik has published more than 25 articles on retail electricity issues and has presented at industry events throughout the United States as well as in Brazil, Belgium, Canada, Germany, Poland, South Korea, Saudi Arabia, the United Kingdom, and Vietnam. His research on the "grid edge" has been cited by Forbes, National Geographic, The New York Times, and The Washington Post, and in trade press such as GreenTech Media, Utility Dive, and Vox. He was named to Public Utilities Fortnightly's Under Forty 2019 list recognizing rising stars in the industry.
Mr. Hledik received his M.S. in Management Science and Engineering from Stanford University, where he concentrated in Energy Economics and Policy. He received his B.S. in Applied Science from the University of Pennsylvania, with minors in Economics and Mathematics. Prior to joining Brattle, Mr. Hledik was a research assistant with Stanford University’s Energy Modeling Forum and a research analyst at Charles River Associates.
For utilities and other organizations spanning more than 20 states and provinces across North America, designed innovative retail pricing structures such as time-of-use (TOU), critical-peak pricing (CPP), peak-time rebates (PTR), real-time pricing (RTP), and inclining block rates (IBR). Simulated the likely impact of the rates on utility load shapes and customer bills. Assessed the costs and benefits of offering these rates to the mass market. Developed strategies for transitioning to the new rate structures.
The analysis used a bottom-up approach to quantify economic and achievable peak demand reduction potential individually for each of the 50 states, and to characterize the existing level of DR in each state. Additionally, the work involved a comprehensive survey and analysis of existing literature on DR barriers at the wholesale and retail levels, as well as policy options for addressing these barriers. Results were filed with U.S. Congress in June 2009 in a report titled A National Assessment of Demand Response Potential.
For the five Vietnamese distribution utilities, developed a 10-year roadmap for smart grid deployment across the country. The project began with a series of in-country stakeholder interviews and an initial assessment of the state of the Vietnamese grid. This information was used to develop preliminary recommendations for smart grid investment, which were presented and discussed during a one-day workshop with industry stakeholders. Findings were summarized in a final report titled Vietnam’s 10-year Smart Grid Roadmap. The project was funded by the World Bank.
For the Kingdom of Saudi Arabia’s energy regulator (ECRA), worked with a team of consultants to develop the nation’s first demand-side management (DSM) plan. Participated in an introductory workshop with key stakeholders and conducted a series of in-country interviews to gather more detailed information. Co-authored an extensive study on the potential impacts and cost-effectiveness of a full range of DSM measures in Saudi Arabia and worked with the team to develop policy recommendations and a ten-year plan for rolling out DSM measures across the country.
RECAP is an optimization model for forecasting the mix of generating capacity necessary to meet future U.S. electricity demand. The model closely calibrates to Annual Energy Outlook forecasts and was originally used in a study for the Edison Electric Institute to quantify the amount of generation and transmission capital investment that could be avoided through demand-side management. It has also been used to quantify the environmental impacts of smart grid investment, to develop long-term power price forecasts to inform investment decisions in new generation assets, and to assess the economics of extending the transmission network to new sources of renewable energy.
Affidavit of Ahmad Faruqui and Ryan Hledik on Behalf of Comverge, Regarding PJM’s Proposed Tariff Revisions Regarding Demand Response Capacity Market Participation Requirements. Before the Federal Energy Regulatory Commission. Docket No. ER13-2108-000
August 22, 2013
An Oregon native, Ryan is a fan of the Portland Trailblazers, good coffee, and country music. He enjoys cycling, yoga, running, basketball, tennis, and cross-country skiing.
Ryan lives in San Francisco with his wife Jenny and sons Weston and Miles.