Energy Optimization for Nearly Zero Energy Buildings with Electric Vehicles

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Doroudchi, Elahe
dc.contributor.author Okur, Özge
dc.date.accessioned 2015-12-16T07:50:43Z
dc.date.available 2015-12-16T07:50:43Z
dc.date.issued 2015-12-14
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/19153
dc.description.abstract The main goal of this study is to optimize the energy cost of a nearly Zero Energy Building (nZEB) integrated with Electric Vehicle (EV). nZEB is a residential building which is able to produce the same energy on site as it consumes. nZEB simulated in this work is based on a Finnish townhouse and considered to be located in Helsinki. Two different systems are considered in the nZEB. The first system consists of photovoltaic (PV) with four installation strategies, EV, household loads and the utility grid. While PV acts like the main energy source, household loads and EV are regarded as loads in the system. nZEB is connected to the electricity grid to be able to purchase electricity when the amount of produced energy is not adequate for energy demand and to export the on-site generated electricity when the produced energy surpluses the energy demand as well. In the second system a 10 kWh battery is included to this system as the storage element. In these systems, initially the power demand profile of EVs needs to be determined. Since charging behaviors of EV users depend heavily on driving habits such as arrival time, departure time and daily travelled distance, Finnish National Travel Survey results are employed to get accurate data on driving behaviors of Finns. Power demand profiles of EVs are obtained for weekdays and weekends of four seasons. After that, optimization process is performed to minimize the daily cost of nZEB. Cost values of the system when there is no EV in the house, when EV is added and when both EV and PV strategies are involved are presented and compared. Results show that cost values decrease significantly with the addition of PV to the system. In spring and summer seasons, negative cost numbers are obtained which means profit for the customers. Comparing without storage and with storage systems, expenses are lower and earnings are higher in the system with storage. en
dc.format.extent 58+10
dc.language.iso en en
dc.title Energy Optimization for Nearly Zero Energy Buildings with Electric Vehicles en
dc.type G2 Pro gradu, diplomityö en
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword electric vehicle en
dc.subject.keyword nearly zero energy buildings en
dc.subject.keyword optimization en
dc.subject.keyword photovoltaic generation en
dc.identifier.urn URN:NBN:fi:aalto-201512165671
dc.programme.major Power Electronics fi
dc.programme.mcode S3016 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Kyyrä, Jorma
dc.programme EST - Master’s Programme in Electrical Engineering (TS2005) fi
dc.location P1 fi


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