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Modelling and comparison of electricity costs and the impact of using flexibility from domestic demand response

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Modelling and comparison of electricity costs and the impact of using flexibility from domestic demand response

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dc.contributor.advisor Iborra Clar, Alicia es_ES
dc.contributor.advisor Eggli, André es_ES
dc.contributor.author Ribera Boigues, Borja es_ES
dc.date.accessioned 2022-10-04T07:29:31Z
dc.date.available 2022-10-04T07:29:31Z
dc.date.created 2022-07-28
dc.date.issued 2022-10-04 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186888
dc.description.abstract [EN] The aim of this thesis is the possible generation of economic flexibility in a specific household, referring exclusively to the consumption scenario of an electric car. For this purpose, two sub-scenarios have been defined, one as an optimized scenario and in the opposite way, a non-optimized one. The idea of defining those scenarios is to compare between them the annual cost in order to reach to the desired flexibility through different electricity market like through the Services Industriels de Genève (SIG) or through an emergent market called eNet, supported by the HSLU and other members. It is going to explained briefly in the introduction the current electric Swiss situation and it is made an overview about the electric vehicle penetration in the market. Nevertheless, to obtain realistic results, some hypothesis had to me made, such as, creating logical driving patterns and schedule, starting with a general database and adapting it to the Swiss situation as much as possible. In addition, an optimization technique called linear programming was used to solve the scenarios, in which two types of sub-problems were defined for each type of electricity market. Finally, a validation of results was established to confirm the validity of the results obtained, and a conclusion was drawn under the work carried out. It was found out an economic flexibility for SIG of 24%, and for eNet, one of 16%. es_ES
dc.description.abstract [ES] El proyecto tiene como objetivo comprender cómo funciona el sistema de la red eléctrica suiza, y también investigar y analizar el coste de los posibles beneficios que se podrían alcanzar utilizando la flexibilidad La HSLU está estableciendo actualmente un mercado local de energía para la producción fotovoltaica como parte del proyecto eNet innosuisse. A día de hoy, la plataforma de mercado está diseñada únicamente para el comercio de energía pura. En el futuro, podría ser interesante integrar adicionalmente el consumo flexible para estabilizar el mercado y permitirles generar unos ingresos pasivos. Esta tesis investiga la viabilidad financiera de esta posible ampliación del mercado comparándola con los escenarios del statu quo. Se identifican las siguientes tareas: 1. Analizar la situación actual en Suiza 2. Definir un conjunto de escenarios a analizar 3. Obtener todos los datos relevantes necesarios para modelar los escenarios definidos 4. Modelizar los escenarios, incluyendo un submodelo que represente la respuesta a la demanda doméstica (por ejemplo, una bomba de calor y/o una caldera eléctrica de agua caliente). 5. Analice los escenarios y establezca algunas comparaciones 6. Ilustre, discuta y valide los resultados 7. Informar de la tesis (en paralelo a todos los objetivos es_ES
dc.description.abstract [EN] The project aims to understand how the Swiss electrical grid system works, and also to investigate and analyse cost possible benefits that could be reached by using flexibility HSLU is currently establishing a local energy market for PV production as part of the eNet innosuisse project. As of today, the market platform is designed for pure energy trading only. In the future, it could be interesting to additionally integrate flexible consumption to stabilise the market and allow them to generate a passive income. This thesis investigates the financial feasibility of this potential market extension by comparing against status quo scenarios. The following tasks are identified: 1. Analyse the current situation in Switzerland 2. Define a set of scenarios to be analysed 3. Obtain all relevant data needed to model the defined scenarios 4. Model the scenarios, including a submodel that represents domestic demand response (e.g. a heat pump and/or an electric hot water boiler). 5. Analyse the scenarios and draw some comparisons 6. Illustrate, discuss, and validate the results 7. Report the thesis (running in parallel with all the objectives es_ES
dc.format.extent 68 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Análisis de datos es_ES
dc.subject Sistemas renovables es_ES
dc.subject Tarifas eléctricas es_ES
dc.subject Desarrollo de escenarios es_ES
dc.subject Data analysis es_ES
dc.subject Renewable systems es_ES
dc.subject Electricity tariffs es_ES
dc.subject Scenario development es_ES
dc.subject.classification INGENIERIA QUIMICA es_ES
dc.subject.other Grado en Ingeniería en Tecnologías Industriales-Grau en Enginyeria en Tecnologies Industrials es_ES
dc.title Modelling and comparison of electricity costs and the impact of using flexibility from domestic demand response es_ES
dc.title.alternative Modelización y comparación de los costes de la electricidad y el impacto del uso de la flexibilidad de la respuesta a la demanda doméstica es_ES
dc.title.alternative Modelització i comparació dels costos de l'electricitat i l'impacte de l'ús de la flexibilitat de la resposta a la demanda domèstica es_ES
dc.type Tesis de máster es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Química y Nuclear - Departament d'Enginyeria Química i Nuclear es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Ribera Boigues, B. (2022). Modelling and comparison of electricity costs and the impact of using flexibility from domestic demand response. Universitat Politècnica de València. http://hdl.handle.net/10251/186888 es_ES
dc.description.accrualMethod TFGM es_ES
dc.relation.pasarela TFGM\150883 es_ES


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