Published November 2019 | Version v1
Journal article

Evaluation of the near future wave energy resources in the Black Sea under two climate scenarios

Creators

  • 1. Department of Mechanical Engineering, Faculty of Engineering, 'Dunarea de Jos' University of Galati, 111 Domneasca St., Galati, 800 201 (Romania)

Description

The objective of this study is to evaluate the near future wave power resources (2021–2050) in the Black Sea, based on the results coming from a wave modelling system forced with wind fields provided by a Regional Climate Model (RCM). Such wind fields have been produced in the framework of the EURO-CORDEX experiment. They cover the entire European domain and have a resolution of 0.11°. Two different wind fields are considered in the wave model simulations, according to two Representative Concentration Pathways (RCPs) scenarios, namely RCP4.5 and RCP8.5. The SWAN (Simulating Waves Nearshore) model, which has been implemented over entire the Black Sea basin, is considered for the wave energy predictions. Furthermore, in order to estimate the impact of climate change on the wave energy resources in the Black Sea basin, the results obtained in the near future 30-year period (covering the early 21st century) are compared with historical data. These are the wave energy resources resulted from SWAN model simulations performed also for a 30-year (1976–2005) time-slice. Thus, these historical wave energy resources are obtained using historical RCM wind fields to force the wave model. The results show an increase in the range 0.05–0.18 kW/m (a rise of 5–16%) of the mean wave power under RCP4.5 scenario in almost all the western part of the Black Sea and also in the north-eastern area, while under RCP8.5 is quite double in. On the other hand, the linear regressions fitted to the annual means computed to each 30-year time-slice in 8 reference points did not indicate significant trends.

Additional details

Identifiers

DOI
10.1016/j.renene.2019.04.092;
PII
S0960148119305762;

Publishing Information

Journal Title
Renewable Energy
Journal Volume
142
Journal Page Range
p. 137-146
ISSN
0960-1481
CODEN
RNENE3

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55017370
Subject category
S16: TIDAL AND WAVE POWER;
Descriptors DEI
CLIMATE MODELS; COMPUTERIZED SIMULATION; GREENHOUSE EFFECT; WAVE POWER
Descriptors DEC
CLIMATIC CHANGE; ENERGY SOURCES; MATHEMATICAL MODELS; POWER; RENEWABLE ENERGY SOURCES; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Elsevier Ltd. All rights reserved.