Huai Jiang

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Huai Jiang

Huai Jiang works in E3’s Distributed Energy Resources (DER) group, where he helps utilities, state agencies, and grid operators prepare for a high renewables future. Upon joining E3 in 2017, Huai quickly applied his skills to enhance E3’s Renewable Energy Capacity (RECAP) model: in a project for the Los Angeles Department of Water and Power, California’s largest public utility, Huai devised a method using neural network regression to simulate historical hourly load, yielding better estimates of grid reliability in high renewable energy scenarios.

Huai grew up in Beijing, which has some of the worst air pollution in the world, and developed a passion for finding smart ways to mitigate the negative impacts of energy on the environment. He leverages his multidisciplinary training in environmental policy and economics, applied math, statistics, and chemistry to enhance the accuracy and functionality E3’s modelling capabilities.

When he’s not working on models, you might find Huai playing ping pong, cooking, or honing his championship-level bridge game.

Education:  MS, environmental policy and economics, and MSE, applied math and statistics, Johns Hopkins University; BS, chemistry, Peking University, China


Pacific Northwest Resource Adequacy Study | Pacific Northwest Utilities, 2018-19

E3 was retained by a consortium of public and private utilities in the Pacific Northwest to evaluate regional resource adequacy under a resource mix that, for both economic and public policy reasons, is transitioning toward higher levels of renewable energy and storage and away from coal. The study used E3’s RECAP model to examine the reliability of different portfolios and reliability contributions of individual resources such as wind, solar, hydro, and energy storage. The study examined both near-term (2030) and long-term (2050) systems. The results found that the Northwest region needs new capacity in the near term to meet growing loads and compensate for planned coal retirements. In the long term, E3 found that deep decarbonization could be achieved if sufficient firm capacity was retained for reliability during times of low wind, solar, and hydro generation. While wind, solar, hydro, and battery storage could provide reliability benefits to the system, replacing all carbon-emitting firm resources with these alternatives was found to be impractical due to the large overbuild required. Study sponsors included the Public Generating Pool (PGP), a consortium of publicly owned utilities in Washington and Oregon; Avista Corporation; Puget Sound Energy; and Northwestern Energy.


Long-Run Resource Adequacy Under Deep Decarbonization Pathways for California | Calpine, 2018-19

Building on E3’s prior work for the California Energy Commission, this study examines which resources will be needed to maintain resource adequacy in a future California electricity system that is deeply decarbonized and heavily dependent on renewable energy and electric energy storage to meet California’s economy-wide 2050 greenhouse gas reduction goal. Whereas E3’s previous work identified resources California should build to meet GHG and renewable energy targets, this study takes an in-depth look at electric system reliability requirements – and specifically which resources are needed to maintain acceptable long-run reliability in a cost-effective manner. After examining resource adequacy through loss-of-load-probability (LOLP) modeling across thousands of simulated years using its RECAP model, E3 found that achieving economy-wide goals does not require full decarbonization of the electricity sector and that the least-cost electricity portfolio to meet 2050 economy-wide goals includes very large quantities of solar + storage and retains 17 GW to 35 GW of firm natural gas capacity for reliability.



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