Feasibility of Wave Energy Harvesting in the Ligurian Sea, Italy

Author:

Corrales-Gonzalez Manuel1ORCID,Lavidas George2ORCID,Besio Giovanni1ORCID

Affiliation:

1. Department of Civil, Chemical and Environmental Engineering (DICCA), University of Genoa, Via Montallegro 1, 16145 Genoa, Italy

2. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands

Abstract

Clean energies are being incorporated into the energy mix in numerous countries. Through a spatial survey of maritime trade, restricted military maritime areas, marine planning, and the presence of fauna and flora along the Ligurian Sea, locations for possible investments in wave energy harvesting were identified in the Northern Thyrrenian Sea, along the Ligurian coast. Previous studies in this region have demonstrated, at a lower spatial resolution, the wave energy potential that can be captured and its variation over time. However, the optimization of wave energy exploitation under the criteria of the functionality and safety of converter devices has not yet been evaluated in the Ligurian Sea. The purpose of this study is to identify the optimal wave energy converter from an economic and technical perspective at several selected locations in the Ligurian Sea. This study involves the scaling of the employed power matrices to obtain the optimized capacity factors of wave energy converters.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference76 articles.

1. IEA, IRENA, U.W.B., and WHO (2023, January 25). Tracking SDG 7: The Energy Progress Report 2022. Available online: https://www.worldbank.org/en/topic/energy/publication/tracking-sdg-7-the-energy-progress-report-2022.

2. Wave electricity production in Italian offshore: A preliminary investigation;Bozzi;Renew. Energy,2014

3. New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding;Kulp;Nat. Commun.,2019

4. Future variability of wave energy in the Gulf of Oman using a high resolution CMIP6 climate model;Pourali;Energy,2023

5. Alessi, A., Boi, E., Malkowski, A., Carlo, C., Cresci, B., Zanon, F., Rana, G., Furlan, F., De Marchi, E., and Schiavon, R. (2019, January 27–29). Towards Wave Energy Utilization for Oil and Gas Assets and Wave Farms Development: The Adriatic Sea Demonstration Case. Proceedings of the Offshore Mediterranean Conference and Exhibition, Ravenna, Italy.

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