66 research outputs found

    Optimal management of wind and solar energy resources

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    This paper presents a portfolio-based approach to the harvesting of renewable energy (RE) resources. Our examined problem setting considers the possibility of distributing the total available capacity across an array of heterogeneous RE generation technologies (wind and solar power production units) being dispersed over a large geographical area. We formulate the capacity allocation process as a bi-objective optimization problem, in which the decision maker seeks to increase the mean productivity of the entire array while having control on the variability of the aggregate energy supply. Using large-scale optimization techniques, we are able to calculate - to an arbitrary degree of accuracy - the complete set of Pareto-optimal configurations of power plants, which attain the maximum possible energy delivery for a given level of power supply risk. Experimental results from a reference geographical region show that wind and solar resources are largely complementary. We demonstrate how this feature could help energy policy makers to improve the overall reliability of future RE generation in a properly designed risk management framework

    The impact of the north atlantic oscillation on renewable energy resources in Southwestern Europe

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    Europe is investing considerably in renewable energies for a sustainable future, with both Iberian countries (Portugal and Spain) promoting significantly new hydropower, wind, and solar plants. The climate variability in this area is highly controlled by just a few large-scale teleconnection modes. However, the relationship between these modes and the renewable climate-dependent energy resources has not yet been established in detail. The objective of this study is to evaluate the impact of the North Atlantic Oscillation (NAO) on the interannual variability of the main and primary renewable energy resources in Iberia. This is achieved through a holistic assessment that is based on a 10-km-resolution climate simulation spanning the period 1959-2007 that provides physically consistent data of the various magnitudes involved. A monthly analysis for the extended winter (October-March) months shows that negative NAO phases enhance wind speeds (10%-15%) and, thereby, wind power (estimated around 30% at typical wind-turbine altitudes) and hydropower resources (with changes in precipitation exceeding 100% and implying prolonged responses in reservoir storage and release throughout the year), while diminishing the solar potential (10%-20%). Opposite signals were also sporadically identified, being well explained when taking into account the orography and the prevailing wind direction during bothNAOphases. An additional analysis using real wind, hydropower, and solar power generation data further confirms the strong signature of the NAO. © 2013 American Meteorological Society.Sonia Jerez and Ricardo M. Trigo acknowledge the support provided by the Portuguese Science Foundation (FCT) through the ENAC project (PTDC/AAC-CLI/103567/2008). Sergio M. Vicente- Serrano and Jorge Lorenzo Lacruz receive support from the following research projects: CGL2011-27574- CO2-02 and CGL2011-27536, financed by the Spanish Commission of Science and Technology and ‘‘Demonstration and validation of innovative methodology for regional climate change adaptation in the Mediterranean area’’ (LIFE MEDACC) financed by the LIFE Program of the European Commission. David Pozo Vazquez and Francisco Javier Santos Alamillo acknowledge funding provided by the Consejerıa de Innovaci on, Ciencia y Empresa (CICE) of the Junta de Andalusia (Spain) (Project P07-RNM-02872) and the FEDER. Raquel Lorente Plazas and Juan Pedro Montavez Gomez acknowledge support from the Ministerio de Ciencia e Innovacion (CGL2011-29672- C02-02) and from the Ministerio de Medio Ambiente (Project 200800050084265). Finally, the authors thank the anonymous reviewers for the valuable feedback they provided.Peer Reviewe
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