Division of Building Physics

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2023
Mark Using urban building energy modeling to quantify the energy performance of residential buildings under climate change
Deng, Zhang ; Javanroodi, Kavan ^LU ; Nik, Vahid M ^LU and Chen, Yixing (2023) In Building Simulation 16(9). p.1629-1643
- Contribution to journal › Article
Mark Modelling an air handling unit, building and occupant variation regarding energy, moisture and frost protection based on measurements of an air handling unit and occupants’ moisture supply
Johansson, Dennis ^LU ; Daugela, Marius ; Wahlström, Åsa ^LU and Bagge, Hans ^LU (2023) In SN Applied Sciences 5(3).
- Contribution to journal › Article
Mark Impact of different water penetration criteria and cavity ventilation rates on the risk of mold growth in timber frame walls with brick veneer cladding
Kahangi shahreza, S ^LU and Abdul hamid, A ^LU (2023) In Journal of Physics: Conference Series 2654.
- Contribution to journal › Article
Mark Quantifying Circadian Heat, Moisture, and Carbon Loads of Overcrowded Swedish Apartments - A Synthesis
Hamid, Akram Abdul ^LU ; Persson, Lovisa ; Linderholt, Linn and Johansson, Dennis ^LU (2023) 8th International Conference on Energy Research and Development, ICERD 2023 2023. p.170-183
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Evaluating the Indoor Radon Concentrations in the Swedish Building Stock Using Statistical and Machine Learning
Wu, Pei-Yu ^LU ; Johansson, Tim ; Mangold, Mikael ; Sandels, Claes and Mjörnell, Kristina ^LU (2023) 13th Nordic Symposium on Building Physics In Journal of Physics: Conference Series 2654.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2022
Mark High-resolution impact assessment of climate change on building energy performance considering extreme weather events and microclimate – Investigating variations in indoor thermal comfort and degree-days
Hosseini, Mohammad ; Javanroodi, Kavan and Nik, Vahid M. ^LU (2022) In Sustainable Cities and Society 78.
- Contribution to journal › Article
Mark Predicting the presence of hazardous materials in buildings using machine learning
Wu, Pei-Yu ^LU ; Sandels, Claes ; Mjörnell, Kristina ^LU ; Mangold, Mikael and Johansson, Tim (2022) In Building and Environment 213.
- Contribution to journal › Article
Mark Combining computational fluid dynamics and neural networks to characterize microclimate extremes : Learning the complex interactions between meso-climate and urban morphology
Javanroodi, Kavan ^LU ; Nik, Vahid M. ^LU ; Giometto, Marco G. and Scartezzini, Jean Louis (2022) In Science of the Total Environment 829.
- Contribution to journal › Article
Mark A review of the current status and development of 5GDHC and characterization of a novel shared energy system
Lindhe, Jonas ^LU ; Javed, Saqib ^LU ; Johansson, Dennis ^LU and Bagge, Hans ^LU (2022) In Science and Technology for the Built Environment 28(5). p.595-609
- Contribution to journal › Article
Mark Predicting hazardous materials in the Swedish building stock using data mining
Wu, Pei-Yu ^LU (2022) In TVBH
- Thesis › Licentiate thesis

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