Water Power News

Find out how this CEO found her calling to reduce the environmental impact of hydropower while making it simpler and more cost-effective—and why she doesn’t demonize fossil fuels.

DOE announced the winners of $1 million in cash prizes in the final stage of the Waves to Water Prize, which challenged competitors to design, build, and test devices that use wave energy to produce clean drinking water

WPTO seeks comments from the non-federal hydropower community on data and research needs to help the office explore how to leverage climate change science to inform long-term hydropower operation and resource planning.

CalWave launched its (and California’s) first at-sea, long-duration wave energy pilot project, bringing the xWave technology closer to providing grid-connected electricity for coastal communities.

HCC will engage interdisciplinary teams of undergraduate and graduate students to offer unique solutions to complex challenges related to hydropower’s ability to enable a 100% clean energy grid, and attract a new set of skilled and diverse workers.

WPTO is launching the Hydropower Operations Optimization (H2Os) Prize to encourage multidisciplinary teams to help solve some of the most near-term challenges in the clean energy transition by improving the performance of hydropower system operations.

WPTO released their first-ever Multi-Year Program Plan, mapping out the Office’s key goals and initiatives through 2025. This report will guide future water power R&D and inform hydropower and marine energy stakeholders of expected milestones.

Water Power Technologies Office (WPTO) Director Jennifer Garson presents the 2020-2021 WPTO Accomplishments Report, which highlights achievements from WPTO-supported research across its Hydropower and Marine Energy programs.

Read the letter from Kelly Speakes-Backman, Principal Deputy Assistant Secretary for the Office of Energy Efficiency and Renewable Energy, featured in the Water Power Technologies Office’s 2020-2021 Accomplishments Report.

Upstream Tech used machine learning and satellite data to develop more accurate streamflow forecasts that will help hydropower developers and regulators make more informed decisions about future hydropower projects and operations.