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  • 1.
    Gao, Zihe
    et al.
    School of Civil Engineering, Zhengzhou University, Zhengzhou, Henan, China.
    Cai, Jiajun
    School of Civil Engineering, Zhengzhou University, Zhengzhou, Henan, China.
    Jiang, Lin
    Department of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China.
    Mensah, Rhoda Afriyie
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering.
    Fan, Chuangang
    School of Civil Engineering, Central South University, Changsha, Hunan, China.
    Investigation on the natural smoke exhaust performance by vertical shaft in tunnel fires under different ambient pressures2024In: Indoor + Built Environment, ISSN 1420-326X, E-ISSN 1423-0070Article in journal (Refereed)
  • 2.
    Ljungquist, Katarina
    et al.
    Luleå University of Technology.
    Lagerqvist, Ove
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
    A Probabilistic Approach for Evaluation of Radon Concentration in the Indoor Environment2005In: Indoor + Built Environment, ISSN 1420-326X, E-ISSN 1423-0070, Vol. 14, no 1, p. 17-27Article in journal (Refereed)
    Abstract [en]

    An analytical method based on structural reliability has been developed with the objective to ensure a healthy indoor environment for people in residential buildings. The method has been applied to a model of the foundation of a house, which is principally a concrete slab on the ground, when the hazard to the indoor environment is radon. The reasons why radon is found indoors have been identified using fault tree analysis. Random variables in the model are defined such that resistance is the ability of people to withstand the radon concentration indoors without adverse health effects and the load effect is equal to the top event of the fault tree and is a function of the environmental load and the decisions made in the building process. A quantitative evaluation was made using both Monte Carlo simulation and First-order second-moment theory where the load effect is compared with the resistance defined as the threshold value for radon concentration indoors stated in the Swedish Building Regulations. The objective was to calculate the probability for exceeding the threshold value and to estimate analytically the safety index. Other interesting areas of application of the developed model could be for the environmental impact from moisture causing growth of micro-organisms and release of chemical emissions, or from soil contaminates like, for example, petroleum products.

  • 3.
    Lundqvist, Petter
    et al.
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Risberg, Mikael
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Westerlund, Lars
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Indoor thermal climate after energy efficiency measures of a residential building in a sub-Arctic region: Comparing ANSYS CFX and IDA ICE methods2022In: Indoor + Built Environment, ISSN 1420-326X, E-ISSN 1423-0070, Vol. 31, no 3, p. 732-744Article in journal (Refereed)
    Abstract [en]

    A residential building which had been subjected to an energy efficiency measures study had its indoor thermal climate investigated using two software approaches to understand how each approach would predict the outcome, using the predicted percentage of dissatisfied (PPD). The computational fluid dynamics software (ANSYS CFX) and the building performance simulation (BPS) software (IDA ICE) were used to simulate the indoor thermal climate before and after the measures. The measures included additional insulation and changing the ventilation system. The results showed a difference in how the software packages handled the thermal radiation. The difference was also because CFX could calculate the indoor thermal climate of the whole interior. While the PPD values could remain similar between the CFX solutions, the area with dissatisfaction in the apartment was decreased when the building envelope was improved. These changes gave an improvement for the CFX solutions, which was not possible to predict with IDA ICE because only the central node was visible. The user should be aware of the shortcomings of BPS and building energy simulation software when evaluating the indoor thermal climate to predict changes. A coupling between BPS and CFX software should be considered when new measures or significant changes are planned.

  • 4.
    Risberg, Daniel
    et al.
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Risberg, Mikael
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Westerlund, Lars
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Investigation of thermal indoor climate for a passive house in a sub-Arctic region using computational fluid dynamics2019In: Indoor + Built Environment, ISSN 1420-326X, E-ISSN 1423-0070, Vol. 28, no 5, p. 677-692Article in journal (Refereed)
    Abstract [en]

    There is currently an increasing trend in Europe to build passive houses. In order to reduce the cost of installation, an air-heating system may be an interesting alternative. Heat supplied through ventilation ducts located at the ceiling was studied with computational fluid dynamics technique. The purpose was to illustrate the thermal indoor climate of the building. To validate the performed simulations, measurements were carried out in several rooms of the building. Furthermore, this study investigated if a designed passive house located above the Arctic Circle could fulfil heat requirements for a Swedish passive house standard. Our results show a heat loss factor of 18.8 W/m2 floor area and an annual specific energy use of 67.9 kWh/m2 floor area, would fulfils the criteria. Validation of simulations through measurements shows good agreement with simulations if the thermal inertia of the building was considered. Calculation of heat losses from a building with a backward weighted moving average outdoor temperature produced correct prediction of the heat losses. To describe the indoor thermal climate correctly, the entire volume needs to be considered, not only one point, which normally is obtained with building simulation software. The supply airflow must carefully be considered to fulfil a good indoor climate.

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