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From a Comprehensive Pool to a Project-Specific List of Key Performance Indicators for Monitoring the Positive Energy Transition of Smart Cities: An Experience-Based Approach

  • Komninos Angelakoglou*
  • , Konstantinos Kourtzanidis
  • , Paraskevi Giourka
  • , Vasilis Apostolopoulos
  • , Nikos Nikolopoulos
  • , Julia Kantorovitch
  • *Corresponding author for this work
    • Centre for Research and Technology Hellas (CERTH)

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    As cities grow rapidly and energy needs increase, shaping an effective energy transition is a top priority towards urban sustainability and smart development. This study attempts to answer three key research questions that can help city authorities, planners and interested agents simplify and increase the transparency of Key Performance Indicators (KPIs) selection for smart city and communities (SCC) projects focusing on energy transition and creation of Positive Energy Districts (PEDs): Question 1: “What resources are available for extracting such KPIs?”; Question 2: “Which of those KPIs are the most suitable for assessing the energy transition of smart city projects and PED-related developments?” and Question 3: “How can a project-specific shortlist of KPIs be developed?”. Answering these questions can also serve as a major first step towards a “universal” KPI selection procedure. In line with this purpose, an experiential approach is presented, capitalizing on knowledge and lessons learned from an ongoing smart city project in Europe (POCITYF) that focuses on PED deployment. Under this framework, a) a review of smart city KPI frameworks has been conducted, resulting in a pool of 258 indicators that can potentially be adopted by smart city projects; b) eight key dimensions of evaluations were extracted, setting a holistic performance framework relevant to SCCs; c) a detailed evaluation process including pre-determined criteria and city-needs feedback was applied to shortlist the KPI pool, leading to a ready-to-be-used, project-specific list of 63 KPIs and d) KPIs were sorted and analyzed in different granularity levels to further facilitate the monitoring procedure. The experiential procedure presented in this study can be easily adapted to the needs of every smart city project, serving as a recommendation guide.
    Original languageEnglish
    Pages (from-to)705-735
    JournalSmart cities
    Volume3
    Issue number3
    DOIs
    Publication statusPublished - Sept 2020
    MoE publication typeA1 Journal article-refereed

    Funding

    This research was funded by the POCITYF project (A positive energy city transformation framework), Grant agreement number 864400, which received funding from the European Union’s framework program Horizon 2020 for research and innovation. This APC is free of charge after the cordial invitation of Traey Wu to Komninos Angelakoglou.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • assessment
    • monitoring
    • KPi
    • PED
    • performance
    • selection
    • KPI
    • Selection
    • Assessment
    • Performance
    • Monitoring

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