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191 - 200 of 1909 Results FOR "power sector"
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Publication

Impacts of Long-Term Temperature Changes on Electricity Investments

Improving the power sector detail in a multisector model shows a 3-22% increase in needed capital investments across the U.S. driven by future peak temperatures.

Project

PowerDrone: Adaptive Steering of Power Systems for Resilient Operation under Adversarial Conditions

News

Self-Powered Fish Tags Make for Long-Lasting Research

Event

Hydropower Modeling Workshop

Through the US Department of Energy’s Water Power Technologies Office, PNNL and NREL co-hosted a workshop on hydropower characterization within grid models and the seams between water and energy models.

News

Modernizing Hydropower with Digital Twins

PNNL is developing the Digital Twins for Hydropower framework to help the industry to affordably modernize the aging hydropower fleet.

News

Powered for life: Self-charging tag tracks fish as long as they swim

PNNL's self-powered fish-tracking tag uses a flexible strip containing piezoelectric materials to emit tiny beeps that are recorded by underwater receivers. The device is designed for long-living fish such as sturgeon, eels and lamprey.

News

Local wind powering more U.S. companies

American companies are increasingly making their own power – and sales – with wind turbines located near the factories and buildings that consume the power they make, concludes PNNL's 2015 Distributed Wind Market Report.

Event

Hydropower Environmental and Industry R&D Summit Talks

The Department of Energy’s Water Power Technologies Office will hold the Hydropower Research and Development Summit Talks across three virtual events in 2024.

News

Vitamin B12: Power Broker to the Microbes

Vitamin B12 wields great power, shaping microbial communities that affect energy and food production and many other processes.

News

PNNL Researchers Speed Power Grid Simulations Using AI

PNNL’s new Smart Power Grid Simulator, or Smart-PGSim, combines high-performance computing and artificial intelligence to optimize power grid simulations without sacrificing accuracy.

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