Modeling energy consumption of a typical residential building using experimental design
Smailbegovic, Una (2022)
Diplomityö
2022
School of Engineering Science, Kemiantekniikka
Kaikki oikeudet pidätetään.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022100360818
https://urn.fi/URN:NBN:fi-fe2022100360818
Tiivistelmä
Globally, energy consumption of building sector is responsible for 40% of total primary energy consumption and one third of of the total amount of CO2-eq emissions. Bosnia and Herzegovina is a middle income country with high heating demands caused by climate conditions and poor energy related properties of the residential building sector.
Therefore, the main purpose of this master’s thesis is analysis energy consumption of the one selected typical residential building from B&H residential stock and developing mathematical model prediction heating demand. Observed residential building is located in Sarajevo, capital city of B&H and is classified as apartment block built-in period of 1960-1970.
Energy properties selected as relevant for this analysis are external wall heat transfer coefficient, roof heat transfer coefficient, glazing type and efficiency of heating system.
Design Builder is used for modeling selected building, considering architectural, constructional, HVAC system, climate condition, occupant and electrical equipment schedules. EnergyPlus simulation engine, integrated in Design Builder, is applied for performing dynamic simulations using hourly weather data.
Fluctuations in energy consumption due to influencing factor variations were analyzed using the Design of Experiment method. Mathematical model for predicting energy demand is developed with Minitab, with focus on savings in heating demand and heating carbon footprint. Additionally, annual heating carbon emissions are calculated.
Therefore, the main purpose of this master’s thesis is analysis energy consumption of the one selected typical residential building from B&H residential stock and developing mathematical model prediction heating demand. Observed residential building is located in Sarajevo, capital city of B&H and is classified as apartment block built-in period of 1960-1970.
Energy properties selected as relevant for this analysis are external wall heat transfer coefficient, roof heat transfer coefficient, glazing type and efficiency of heating system.
Design Builder is used for modeling selected building, considering architectural, constructional, HVAC system, climate condition, occupant and electrical equipment schedules. EnergyPlus simulation engine, integrated in Design Builder, is applied for performing dynamic simulations using hourly weather data.
Fluctuations in energy consumption due to influencing factor variations were analyzed using the Design of Experiment method. Mathematical model for predicting energy demand is developed with Minitab, with focus on savings in heating demand and heating carbon footprint. Additionally, annual heating carbon emissions are calculated.