| Popis: |
In this master thesis, a methodology is proposed for building stock classification and archetype building development based on deterministic information available in Energy Performance Certificates (EPCs) of existing buildings in the city of Uppsala.This study aims to answer if the EPC database can be used as a reliable data source for archetype development and further UBEM models.The EPC data is cleaned and organised using Matlab. The building stock is then categorised into archetypes by energy performance and building characteristics and a model of each archetype building is created in the software EnergyPlus.The South-West part of Uppsala is used as a case study and to represent the building stock of that area 20 archetypes is developed. Simulations in EnergyPlus shows that the defined archetypes is a reliable estimation of buildings in Sweden with the same characteristics and construction period.By using GIS data the results can be aggregated to city level with the resulting total energy demand for heating calculated to 1455,7 GWh, compared to the actual value of 1397,0 GWh.The lack of validation data on a smaller scale is a large issue for this study, as well as some issues with data reliability in the EPCs. Despite this, the results of this study points to that the gathered values are a decent enough estimate to make a reliable assumption of the total energy demand for heating. The EPCs thus provide a useful source of data for energy demand purposes and building characteristics. |
