Seatrec Launches Project FIND

VISTA, Calif. (Sept. 23, 2021) – Seatrec, a renewable energy company that harvests energy from temperature differences in the environment, today launches Project FIND – Float Innovation & New Discovery – to promote equity in ocean research by providing underrepresented oceanographers with world-class, sustainable technology.

“The ocean is in crisis and we cannot afford to have the world’s best and brightest on the sidelines because they lack access to data and technology,” insists Yi Chao, Seatrec’s Founder and CEO. “We must commit to building scientific capacity and infrastructure in every continent because every coastline has a stake in the ocean’s future.”

The program is also sponsored by visionary data science and AI cloud platform provider, H2O.ai, providing five teams of oceanographers from underrepresented communities each with free access to machine-learning tools to process data from a Navis-SL1 scientific float powered by SL1 energy harvesting modules (a $75,000 value). The oceanographers were selected based on their contributions to the global understanding and preservation of the ocean.

“Ocean science is data science,” said Sri Ambati, CEO and founder of H2O.ai. “Democratizing ocean science by providing underrepresented communities with access to world-class research tools is a critical step to preserving our oceans, and ultimately unlocking the mysteries of all life. We are honored to support this important work and provide H2O.ai’s AI cloud platform for its prime purpose – AI for good.”

The oceanographers selected for Project FIND are:

Asha De Vos, a Sri Lankan scientist and National Geographic Explorer best known for her studies of blue whales.

Joseph K. Ansong, a senior math lecturer at the University of Ghana who specializes in understanding the energetics of regional/global oceanic processes.

Miguel Tenreiro, a researcher based in Mexico studying the Gulf of Mexico circulation and its impact on weather and hurricanes.

Olga Sato and Paulo Polito, lead a team from Brazil studying the South Atlantic Meridional Overturning Circulation as an indicator for changes in climate.

Tamaryn Morris and Juliet Hermes, lead a South African team focused on the Mozambique Channel and the Agulhas Current.

Seatrec’s energy harvesting system uses solid-to-liquid (SL) phase change materials to convert temperature differences into electricity in order to power profiling floats.

The Navis Autonomous Profiling Float, built by Sea-Bird Scientific, is widely used – including by Argo, the international ocean-monitoring network – for taking scientific measurements such as temperature and salinity down to 1,000 meters. The selected FIND investigators will receive a Navis float integrated with two of Seatrec’s SL1 modules that power the float using clean, renewable energy harvested from the ocean’s temperature differences.

Investigators will also have free support and access to H2O.ai’s award-winning Driverless AI platform that uses AI to deliver expert data science easier, faster, and cheaper than traditional applications.

Project FIND seeks to demonstrate the potential of SL energy harvesting to enable discovery, introduce a renewable paradigm for float operations, and provide state-of-the-art oceanographic instruments to underrepresented oceanographers.

About Seatrec
Seatrec designs and manufactures energy harvesting systems that generate electricity from naturally occurring temperature differences in ocean waters. This renewable energy can be used to power deep water oceanographic research equipment such as floats, gliders, and Autonomous Underwater Vehicles (AUVs), resulting in the most scalable, cost-effective deep ocean data collection possible. Incorporated in 2016 by CEO, Dr. Yi Chao, Seatrec’s technology originated at NASA Jet Propulsion Laboratory, California Institute of Technology, to provide clean power for remote off-grid locations. The company is headquartered in Vista, CA. Visit us at www.seatrec.com and @seatrecinc.

Media contact
Sean Yokomizo
sean@seatrec.com
+1 925.878.1200

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