Dynamic optimization of building performance

Use of real-time building data for improving facilities management

Esmir Maslesa, Susanne Balslev Nielsen, Morten Birkved, Jannik Hultén

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    Abstract

    In this digital age many companies consider data as new oil. It also includes facilities management organizations. Facilities managers in many private and public organizations are interested in data sets on building characteristics, operation and maintenance activities, usage patterns, space management, energy management, asset management etc.

    The research focus of this industrial PhD is to study how these different building data sets can be used and combined for improving total value of buildings, with special emphasis on environmental building performance from lifecycle perspective.

    The project follows the implementation of Integrated Facilities Management System KMD Atrium in Danish Facilities Management organizations. The focus is on non-residential buildings from user- and facilities manager perspective. By studying the implementation effects of KMD Atrium, this industrial PhD develops a methodological basis and purpose-based software for simultaneous calculation of total value and environmental performance of non-residential buildings.

    So far, a literature study has identified 8 indicator categories that should be considered when addressing environmental performance of building: Energy, GHG emissions, Water, Waste management, Land use, Building materials, Reuse/recycling potential and Indoor Environmental Quality. The study indicates that research is mainly focusing on energy and GHG emission related topics, while other environmental categories are not investigated sufficiently.

    The next step of the project combines research and practice through various case studies in which environmental building performance of non-residential buildings will be studied. Case studies will investigate which environmental indicators are used in practice and why, and disclose how building data related to these indicators is collected, used and combined.
    Original languageEnglish
    Publication date2016
    Number of pages1
    Publication statusPublished - 2016
    EventSustain-ATV Conference 2016 - Technical University of Denmark, Kgs. Lyngby, Denmark
    Duration: 30 Nov 201630 Nov 2016
    http://www.sustain.dtu.dk/

    Conference

    ConferenceSustain-ATV Conference 2016
    LocationTechnical University of Denmark
    CountryDenmark
    CityKgs. Lyngby
    Period30/11/201630/11/2016
    Internet address

    Bibliographical note

    Sustain Abstract L-11

    Cite this

    Maslesa, E., Nielsen, S. B., Birkved, M., & Hultén, J. (2016). Dynamic optimization of building performance: Use of real-time building data for improving facilities management. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.
    Maslesa, Esmir ; Nielsen, Susanne Balslev ; Birkved, Morten ; Hultén, Jannik. / Dynamic optimization of building performance : Use of real-time building data for improving facilities management. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.1 p.
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    author = "Esmir Maslesa and Nielsen, {Susanne Balslev} and Morten Birkved and Jannik Hult{\'e}n",
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    language = "English",
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    Maslesa, E, Nielsen, SB, Birkved, M & Hultén, J 2016, 'Dynamic optimization of building performance: Use of real-time building data for improving facilities management' Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark, 30/11/2016 - 30/11/2016, .

    Dynamic optimization of building performance : Use of real-time building data for improving facilities management. / Maslesa, Esmir; Nielsen, Susanne Balslev; Birkved, Morten; Hultén, Jannik.

    2016. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

    TY - ABST

    T1 - Dynamic optimization of building performance

    T2 - Use of real-time building data for improving facilities management

    AU - Maslesa, Esmir

    AU - Nielsen, Susanne Balslev

    AU - Birkved, Morten

    AU - Hultén, Jannik

    N1 - Sustain Abstract L-11

    PY - 2016

    Y1 - 2016

    N2 - In this digital age many companies consider data as new oil. It also includes facilities management organizations. Facilities managers in many private and public organizations are interested in data sets on building characteristics, operation and maintenance activities, usage patterns, space management, energy management, asset management etc.The research focus of this industrial PhD is to study how these different building data sets can be used and combined for improving total value of buildings, with special emphasis on environmental building performance from lifecycle perspective.The project follows the implementation of Integrated Facilities Management System KMD Atrium in Danish Facilities Management organizations. The focus is on non-residential buildings from user- and facilities manager perspective. By studying the implementation effects of KMD Atrium, this industrial PhD develops a methodological basis and purpose-based software for simultaneous calculation of total value and environmental performance of non-residential buildings.So far, a literature study has identified 8 indicator categories that should be considered when addressing environmental performance of building: Energy, GHG emissions, Water, Waste management, Land use, Building materials, Reuse/recycling potential and Indoor Environmental Quality. The study indicates that research is mainly focusing on energy and GHG emission related topics, while other environmental categories are not investigated sufficiently.The next step of the project combines research and practice through various case studies in which environmental building performance of non-residential buildings will be studied. Case studies will investigate which environmental indicators are used in practice and why, and disclose how building data related to these indicators is collected, used and combined.

    AB - In this digital age many companies consider data as new oil. It also includes facilities management organizations. Facilities managers in many private and public organizations are interested in data sets on building characteristics, operation and maintenance activities, usage patterns, space management, energy management, asset management etc.The research focus of this industrial PhD is to study how these different building data sets can be used and combined for improving total value of buildings, with special emphasis on environmental building performance from lifecycle perspective.The project follows the implementation of Integrated Facilities Management System KMD Atrium in Danish Facilities Management organizations. The focus is on non-residential buildings from user- and facilities manager perspective. By studying the implementation effects of KMD Atrium, this industrial PhD develops a methodological basis and purpose-based software for simultaneous calculation of total value and environmental performance of non-residential buildings.So far, a literature study has identified 8 indicator categories that should be considered when addressing environmental performance of building: Energy, GHG emissions, Water, Waste management, Land use, Building materials, Reuse/recycling potential and Indoor Environmental Quality. The study indicates that research is mainly focusing on energy and GHG emission related topics, while other environmental categories are not investigated sufficiently.The next step of the project combines research and practice through various case studies in which environmental building performance of non-residential buildings will be studied. Case studies will investigate which environmental indicators are used in practice and why, and disclose how building data related to these indicators is collected, used and combined.

    M3 - Conference abstract for conference

    ER -

    Maslesa E, Nielsen SB, Birkved M, Hultén J. Dynamic optimization of building performance: Use of real-time building data for improving facilities management. 2016. Abstract from Sustain-ATV Conference 2016, Kgs. Lyngby, Denmark.