High-resolution survey of tidal energy towards power generation and influence of sea-level-rise: A case study at coast of New Jersey, USA

• Published in: Renewable & sustainable energy reviews 2014-04, Vol.32, p.960-982
• Main Authors: Tang, H.S., Kraatz, S., Qu, K., Chen, G.Q., Aboobaker, N., Jiang, C.B.
• Format: Article
• Language: English
• Subjects: Applied sciences; Climate change; Economic data; Electric energy; Energy; Energy economics; Energy of waters: ocean thermal energy, wave and tidal energy, etc; Exact sciences and technology; FVCOM; General, economic and professional studies; High performance computing; High-resolution; Marine hydrokinetic energy; Natural energy; Sea-level-rise; Tidal power
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2013.12.041

The first and a crucial step in development of tidal power, which is now attracting more and more attention worldwide, is a reliable survey of temporal and spatial distribution of tidal energy along coastlines. This paper first reviews the advance in assessment of tidal energy, in particular marine hydrokinetic (MHK) energy, and discusses involved challenges and necessary approaches, and then it makes a thorough survey as an illustrative case study on distributions and top sites of MHK energy within the Might-Atlantic-Bight (MAB) with emphasis on the New Jersey (NJ) coastlines. In view of the needs in actual development of tidal power generation and sensitivity of tidal power to flow speed, the former being proportional to the third power of the latter, a high-resolution and detailed modeling is desired. Data with best available accuracy for coastlines, bathymetry, tributaries, etc. are used, meshes as fine as 20m and less for the whole NJ coast are generated, and the unstructured grid finite volume coastal ocean model (FVCOM) and high performance computing (HPC) facilities are employed. Besides comparison with observation data, a series of numerical tests have been made to ensure reliability of the modeling results. A detailed tidal energy distribution and a list of top sites for tidal power are presented. It is shown that indeed sea-level-rise (SLR) affects the tidal energy distribution significantly. With SLR of 0.5m and 1m, tidal energy in NJ coastal waters increases by 21% and 43%, respectively, and the number of the top sties tends to decrease along the barrier islands facing the Atlantic Ocean and increase in the Delaware Bay and the Delaware River. On the basis of these results, further discussions are made on future development for accurate assessment of tidal energy.