Evaluation of the effect of flexible demand and wave energy converters on the design of hybrid energy systems

Many islands have high electricity prices due to the reliance on imported diesel. However, hybrid energy systems (HES) which combine renewable generation with backup generators and energy storage are becoming cost competitive. Diesel usually provides about 10% of the demand because most renewables are non-dispatchable and thus the complete decarbonisation requires massively oversized renewable generation and storage. By including renewables with different resource profiles and demand side management (DSM), the diesel consumption could be decreased without increasing storage and renewable generation capacities. Here a framework for the design and optimisation of HES using wind, wave and solar generation and DSM is introduced. For the Mediterranean it is shown that wave energy is not competitive but that DSM reduces the emissions and costs by 21 and 8%. In the North Sea, DSM has lower benefits because waves act as an energy store for the wind. Thus, the combination of wave energy converters (WECs) and wind turbines significantly reduces the need for backup generation and energy storage which leads to large reductions in costs (up to 40%) and emissions (up to 60%). DSM and WECs can both simultaneously reduce the cost and emissions of HES but need to be designed for the particular circumstances.

[1]  Alberto Tonda Inspyred: Bio-inspired algorithms in Python , 2019, Genetic Programming and Evolvable Machines.

[2]  Girish Kumar Singh,et al.  Solar power generation by PV (photovoltaic) technology: A review , 2013 .

[3]  Analysis of merits of hybrid wind/photovoltaic concept for stand-alone systems , 1981 .

[4]  G. Lavidas,et al.  Investigating the opportunities for wave energy in the Aegean Sea , 2014 .

[5]  Vilfredo Pareto,et al.  Manuale di economia politica : con una introduzione alla scienza sociale , 1906 .

[6]  Sunanda Sinha,et al.  Review of software tools for hybrid renewable energy systems , 2014 .

[7]  G. Iglesias,et al.  The economics of wave energy: A review , 2015 .

[8]  Gregorio Iglesias,et al.  A review of combined wave and offshore wind energy , 2015 .

[9]  P. Gilman,et al.  MICROPOWER SYSTEM MODELING WITH HOMER , 2005 .

[10]  N. Booij,et al.  THE "SWAN" WAVE MODEL FOR SHALLOW WATER , 1997 .

[11]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[12]  Luigi Cavaleri,et al.  The calibration of wind and wave model data in the Mediterranean Sea , 2006 .

[13]  Sandip Deshmukh,et al.  Modeling of hybrid renewable energy systems , 2008 .

[14]  S. Bhattacharyya,et al.  Analysis of off-grid electricity system at Isle of Eigg (Scotland): Lessons for developing countries , 2015 .

[15]  Christopher J. Koroneos,et al.  The Optimal use of Renewable Energy Sources—The Case of Lemnos Island , 2013 .

[16]  Francesco Fusco,et al.  Variability reduction through optimal combination of wind/wave resources – An Irish case study , 2010 .

[17]  G. Lavidas,et al.  Sensitivity of a numerical wave model on wind re-analysis datasets , 2017 .

[18]  G. J. Rios-Moreno,et al.  Optimal sizing of renewable hybrids energy systems: A review of methodologies , 2012 .

[19]  Madjid Karimirad,et al.  WindWEC: Combining wind and wave energy inspired by hywind and wavestar , 2016, 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA).

[20]  John Andrews,et al.  Energy-storage requirements reduced in coupled wind-solar generating systems , 1976 .

[21]  Johannes Falnes,et al.  A REVIEW OF WAVE-ENERGY EXTRACTION , 2007 .

[22]  Aurélien Babarit,et al.  Numerical benchmarking study of a selection of wave energy converters , 2012 .

[23]  Sanna Syri,et al.  Electrical energy storage systems: A comparative life cycle cost analysis , 2015 .

[24]  Susan Krumdieck,et al.  Optimizing wind-diesel hybrid energy systems including a demand side management strategy , 2014 .

[25]  Lingfeng Wang,et al.  A demand-side management simulation platform incorporating optimal management of distributed renewable resources , 2011, 2011 IEEE/PES Power Systems Conference and Exposition.

[26]  Anula Khare,et al.  Sizing and performance analysis of standalone wind-photovoltaic based hybrid energy system using ant colony optimisation , 2016 .

[27]  David Ingram,et al.  Joint exploitation of wave and offshore wind power , 2011 .

[28]  Julia Fernandez Chozas,et al.  Introduction Of Wavestar Wave Energy Converters At The Danish Offshore Wind Power Plant Horns Rev 2 , 2012 .

[29]  Gregorio Iglesias,et al.  Selecting optimum locations for co-located wave and wind energy farms. Part II: A case study , 2016 .

[30]  V. P. C. Dassanayake,et al.  Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission , 2013 .

[31]  António F.O. Falcão,et al.  Wave energy utilization: A review of the technologies , 2010 .

[32]  Combining offshore and onshore renewables with energy storage and diesel generators in a stand-alone Hybrid Energy System , 2015 .

[33]  Félix Iglesias,et al.  Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification , 2012 .

[34]  L. Bernal-Agust Multi-objective design and control of hybrid systems minimizing costs and unmet load , 2009 .

[35]  Anestis I. Kalfas,et al.  Integrated Overtopping Wave Energy Converter in a Hybrid Offshore Wind Turbine Power Generation System , 2014 .

[36]  Uang,et al.  The NCEP Climate Forecast System Reanalysis , 2010 .