A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Mažaenergio pastato šilumos poreikių prognozių neapibrėžtumo veiksnių nustatymas ; Determination of Heat Demand Prediction Uncertainty in Low Energy House
In one of the strategic European Union (EU) aims to reduce carbon dioxide emissions, Member States committed themselves since 2020 to build only zero-energy buildings. Constantly growing the number of more and more energy-efficient buildings, Lithuania and other EU member states began to encounter with the problem that the actual energy consumption for space heating and ventilation does not meet the designed values. There is evidences of „performance gap“, reaching 2 or more times. In the study parametric sensitivity analysis is performed along with the determining input sensitivity index. Monte-Carlo method provides probabilistic energy consumption forecast. Calculated data are compared with the actual normalized energy consumption of the building. The calculation procedures are performed under LST EN 13790 standard methodology basis. Calculations allow to state the actual energy consumption is up to 3 times higher than the targeted value. The greatest impact on energy performance gap makes inaccurate prediction of ventilation heat recovery coefficient, internal temperature change from the design values and inaccurate external envelope heat transfer coefficient assessment. Structure: introduction, literature analysis, practical research, conclusions and suggestions, references. Thesis consist of: 49 p. text without appendixes, 23 pictures, 8 tables, 32 bibliographical entries. Appendixes included.
Mažaenergio pastato šilumos poreikių prognozių neapibrėžtumo veiksnių nustatymas ; Determination of Heat Demand Prediction Uncertainty in Low Energy House
In one of the strategic European Union (EU) aims to reduce carbon dioxide emissions, Member States committed themselves since 2020 to build only zero-energy buildings. Constantly growing the number of more and more energy-efficient buildings, Lithuania and other EU member states began to encounter with the problem that the actual energy consumption for space heating and ventilation does not meet the designed values. There is evidences of „performance gap“, reaching 2 or more times. In the study parametric sensitivity analysis is performed along with the determining input sensitivity index. Monte-Carlo method provides probabilistic energy consumption forecast. Calculated data are compared with the actual normalized energy consumption of the building. The calculation procedures are performed under LST EN 13790 standard methodology basis. Calculations allow to state the actual energy consumption is up to 3 times higher than the targeted value. The greatest impact on energy performance gap makes inaccurate prediction of ventilation heat recovery coefficient, internal temperature change from the design values and inaccurate external envelope heat transfer coefficient assessment. Structure: introduction, literature analysis, practical research, conclusions and suggestions, references. Thesis consist of: 49 p. text without appendixes, 23 pictures, 8 tables, 32 bibliographical entries. Appendixes included.
Mažaenergio pastato šilumos poreikių prognozių neapibrėžtumo veiksnių nustatymas ; Determination of Heat Demand Prediction Uncertainty in Low Energy House
Dauskurdas, Tomas (author)
2017-06-01
Theses
Electronic Resource
Lithuanian , English
DDC:
690