Decision Support Tool to Enable Real-Time Data-Driven Building Energy Retrofitting Design

Kalevi Piira, Julia Kantorovitch*, Lotta Kannari, Jouko Piippo, Nam Vu Hoang

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)
    74 Downloads (Pure)

    Abstract

    The availability of near-real-time data on energy performance is opening new opportunities to optimize buildings’ energy efficiency and flexibility capabilities and to support the decision-making and planning process of building retrofitting infrastructure investment. Existing tools can support retrofitting design and energy performance contracting. However, there are well-recognized shortcomings of these tools related to their usability, complexity, and ability to perform calculations based on the real-time energy performance of buildings. To address this gap, the advanced retrofitting decision support tool is developed and presented in this study. The strengths of our solution rely on easy usability, accuracy, and transparency of results. The automatic collection of real-time building energy consumption data gathered from the building management systems, combined with data analytics techniques, ensures ease of use and quickness of calculation. These results support step-by-step thinking for retrofitting design and hopefully enable a larger utilization rate for deep building retrofits.
    Original languageEnglish
    Article number5408
    JournalEnergies
    Volume15
    Issue number15
    DOIs
    Publication statusPublished - 17 Jul 2022
    MoE publication typeA1 Journal article-refereed

    Funding

    This research is done in the SYNERGY and BEYOND projects that were funded by the European Union’s Horizon 2020 Research and Innovation program under Grant Agreements No. 872734 and No 957020, respectively.

    Keywords

    • decision support
    • energy-efficient buildings
    • IoT
    • retrofitting design

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