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

Kalevi Piira, Julia Kantorovitch (Corresponding Author), Lotta Kannari, Jouko Piippo, Nam Vu Hoang

Research output: Contribution to journalArticleScientificpeer-review

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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
Issue number15
Publication statusPublished - 17 Jul 2022
MoE publication typeA1 Journal article-refereed


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


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