GC53C-1218
Tidal Energy Conversion Installation at an Estuarine Bridge Site: Resource Evaluation and Energy Production Estimate

Friday, 18 December 2015
Poster Hall (Moscone South)
Ian Gagnon1, Martin Wosnik2, Kenneth Baldwin2, Erin Bell3 and NSF PFI Living Bridge Team, (1)University of New Hampshire Main Campus, Durham, NH, United States, (2)University of New Hampshire Main Campus, Mechanical Engineering, Durham, NH, United States, (3)Univ New Hampshire, Durham, NH, United States
Abstract:
The “Living Bridge” project aims to create a self-diagnosing, self-reporting “smart bridge” powered by a local renewable energy source, tidal energy – transforming Memorial Bridge, a vertical lift bridge over the tidal Piscataqua River connecting Portsmouth, NH and Kittery, ME, into a living laboratory for researchers, engineers, scientists, and the community.

The Living Bridge project includes the installation of a tidal turbine at the Memorial Bridge. The energy converted by the turbine will power structural health monitoring, environmental and underwater instrumentation. Utilizing locally available tidal energy can make bridge operation more sustainable, can “harden” transportation infrastructure against prolonged grid outages and can demonstrate a prototype of an “estuarine bridge of the future”.

A spatio-temporal tidal energy resource assessment was performed using long term bottom-deployed Acoustic Doppler Current Profilers (ADCP) at two locations: near the planned deployment location in 2013-14 for 123 days and mid-channel in 2007 for 35 days. Data were evaluated to determine the amount of available kinetic energy that can be converted into usable electrical energy on the bridge. Changes in available kinetic energy with ebb/flood and spring/neap tidal cycles and electrical energy demand were analyzed. The target deployment site exhibited significantly more energetic ebb tides than flood tides, which can be explained by the local bathymetry of the tidal estuary. A system model is used to calculate the net energy savings using various tidal generator and battery bank configurations. Different resource evaluation methodologies were also analyzed, e.g., using a representative ADCP “bin” vs.\ a more refined, turbine-geometry-specific methodology, and using static bin height vs. bin height that move w.r.t. the free surface throughout a tidal cycle (representative of a bottom-fixed or floating turbine deployment, respectively). ADCP operating frequencies and bin sizes affect the standard deviation of measurements, and measurement uncertainties are evaluated. The planned installation, consisting of a vertical axis turbine with the generator above water, mounted to a floating platform, and underwater instrumentation will be outlined.

Supported by NSF-IIP 1430260