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  • 1. Li, Y
    et al.
    Rezgui, Y
    Guerriero, A
    Zhang, Xingxing
    Högskolan Dalarna, Akademin Industri och samhälle, Energiteknik.
    Han, Mengjie
    Högskolan Dalarna, Akademin Industri och samhälle, Mikrodataanalys.
    Kubicki, S
    Yan, D
    Development of an adaptation table to enhance the accuracy of the predicted mean vote model2019Inngår i: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684XArtikkel i tidsskrift (Fagfellevurdert)
  • 2. Pan, S
    et al.
    Xiong, Y
    Han, Y
    Zhang, Xingxing
    Högskolan Dalarna, Akademin Industri och samhälle, Energiteknik.
    Xia, L
    Wei, S
    Wu, J
    Han, Mengjie
    Högskolan Dalarna, Akademin Industri och samhälle, Mikrodataanalys.
    A study on influential factors of occupant window-opening behavior in an office building in China2018Inngår i: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 133, s. 41-50Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Occupants often perform many types of behavior in buildings to adjust the indoor thermal environment. In these types, opening/closing the windows, often regarded as window-opening behavior, is more commonly observed because of its convenience. It not only improves indoor air quality to satisfy occupants' requirement for indoor thermal comfort but also influences building energy consumption. To learn more about potential factors having effects on occupants' window-opening behavior, a field study was carried out in an office building within a university in Beijing. Window state (open/closed) for a total of 5 windows in 5 offices on the second floor in 285 days (9.5 months) were recorded daily. Potential factors, categorized as environmental and non-environmental ones, were subsequently identified with their impact on window-opening behavior through logistic regression and Pearson correlation approaches. The analytical results show that occupants' window-opening behavior is more strongly correlated to environmental factors, such as indoor and outdoor air temperatures, wind speed, relative humidity, outdoor FM2.5 concentrations, solar radiation, sunshine hours, in which air temperatures dominate the influence. While the non-environmental factors, i.e. seasonal change, time of day and personal preference, also affects the patterns of window-opening probability. This paper provides solid field data on occupant window opening behavior in China, with high resolutions and demonstrates the way in analyzing and predicting the probability of window-opening behavior. Its discussion into the potential impact factors shall be useful for further investigation of the relationship between building energy consumption and window-opening behavior.

  • 3.
    Ramírez Villegas, Ricardo
    et al.
    Högskolan Dalarna, Akademin Industri och samhälle, Energiteknik.
    Eriksson, Ola
    Högskolan i Gävle.
    Olofsson, Thomas
    Högskolan Dalarna, Akademin Industri och samhälle, Byggteknik. Umeå universitet.
    Assessment of renovation measures for a dwelling area: impacts on energy efficiency and building certification2016Inngår i: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 97, s. 26-33Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The European Union has an ambitious plan to reduce energy use and emissions by the year 2030. The building and real estate sectors have a great potential to help reduce emissions by energy efficiency. However, different energy sources and environmental standards affect the decision making of these major renovations in the existing stock. This study investigates how different renovation strategies affect the energy rating of a selected Building Environmental Assessment Tool and analyses the consequences in terms of greenhouse gas emissions for the local district heating system. Both building energy simulations and energy systems cost optimization were used to determine the energy use and local emissions. The results of different renovation scenarios were used to evaluate the rating in the selected tool and the impact in the district heating local emissions. The used methodology illustrates how energy efficient renovation impacts on the district heating system’s local emissions. However, a bias towards resource classification within the Swedish Building Environmental Tool, Miljöbyggnad, needs to be addressed in order to assess the impact of local emissions. © 2015 Elsevier Ltd.

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