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Henry Birdseye Weil. Ibáñez López, A. Santiago (Antonio Santiago) Sloan School of Management. Sloan School of Management e-sp--- 2013-09-24T19:40:36Z 2013-09-24T19:40:36Z 2013 2013 http://hdl.handle.net/1721.1/81066 857792679 Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2013. Cataloged from PDF version of thesis. Includes bibliographical references. The goal of this thesis is the development of a model of the Spanish energy mix in order to be able to forecast its evolution in function of exogenous variables such as the public opinion about specific technologies, the price of oil, the price of natural gas, the interest rate, etc. at a given moment in time. The development of such a model is interesting in order to set the right pOlicies and incentives for achieving a required energy mix as well as to calculate the system costs at a specific moment in time. This way, under or overinvestment in specific technologies can be avoided. This issue has been a cause of concern in Spain, where for example, because of erratic incentive policies a huge overinvestment in solar PV power happened between 2008 and 2009, which entailed higher than expected energy costs that will have to be paid by the final consumers for many years. So, a model of the power system has been developed using the System Dynamics methodology. The model has been subsequently validated using historical data in order to check that the results obtained by the model reflect the reality. Once validated, different future scenarios have been considered and the model has been used in order to define the energy policies that entail the optimum results in terms of the resulting energy mix and wholesale power price. Learnings and conclusions about the Spanish power market have been summarized. by A. Santiago Ibáñez López. M.B.A. 81 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Analysis and modeling of Spain's power sector in order to define the best incentive policies for achieving an optimum energy mix Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="83267c5e-0e57-44b4-b5b9-14906e803a42"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Analysis and modeling of Spain&apos;s power sector in order to define the best incentive policies for achieving an optimum energy mix</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2013</PublicationDate> <Authors> <Author> <DisplayName>Ibáñez López, A. Santiago (Antonio Santiago)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Abstract>The goal of this thesis is the development of a model of the Spanish energy mix in order to be able to forecast its evolution in function of exogenous variables such as the public opinion about specific technologies, the price of oil, the price of natural gas, the interest rate, etc. at a given moment in time. The development of such a model is interesting in order to set the right pOlicies and incentives for achieving a required energy mix as well as to calculate the system costs at a specific moment in time. This way, under or overinvestment in specific technologies can be avoided. This issue has been a cause of concern in Spain, where for example, because of erratic incentive policies a huge overinvestment in solar PV power happened between 2008 and 2009, which entailed higher than expected energy costs that will have to be paid by the final consumers for many years. So, a model of the power system has been developed using the System Dynamics methodology. The model has been subsequently validated using historical data in order to check that the results obtained by the model reflect the reality. Once validated, different future scenarios have been considered and the model has been used in order to define the energy policies that entail the optimum results in terms of the resulting energy mix and wholesale power price. Learnings and conclusions about the Spanish power market have been summarized.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>