Cited by 123Smart Cities and TechnologiesSustainability and Ecological Systems AnalysisIntegrated Energy Systems Optimization

Implementing Smart Urban Metabolism in the Stockholm Royal Seaport: Smart City SRS

Shahrokni, Hossein, Årman, Louise, Lazarevic, David, Nilsson, Anders, Brandt, Nils·2015·Journal of Industrial Ecology

Abstract

Summary: For half a century, system scientists have relied on urban metabolism (UM) as a pragmatic framework to support the needed transition toward sustainable urban development. It has been suggested that information and communication technology (ICT) and, more specifically, smart cities can be leveraged in this transition. Given the recent advances in smart cities, smart urban metabolism (SUM) is considered a technology‐enabled evolution of the UM framework, overcoming some of its current limitations. Most significantly, the SUM framework works at high temporal (up to real‐time) and spatial (down to household/individual) resolutions. This article presents the first implementation of SUM in the Smart City Stockholm Royal Seaport R&D project; it further analyzes barriers and discusses the potential long‐term implications of the findings. Four key performance indicators (KPIs) are generated in real time based on the integration of heterogeneous, real‐time data sources. These are kilowatt‐hours per square meter, carbon dioxide equivalents per capita, kilowatt‐hours of primary energy per capita, and share of renewables percentage. These KPIs are fed back on three levels (household, building, and district) on four interfaces, developed for different audiences. The most challenging barrier identified was accessing and integrating siloed data from the different data owners (utilities, building owners, and so forth). It is hard to overcome unless a significant value is perceived. A number of long‐term opportunities were described in the SUM context; among those, it is envisioned that SUM could enable a new understanding of the causalities that govern urbanism and allow citizens and city officials to receive feedback on the system consequences of their choices.

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Crossref · 10.1111/jiec.12308

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Authors
Shahrokni, H., Årman, L., Lazarevic, D., Nilsson, A., & Brandt, N.
Affiliations
KTH Royal Institute of Technology (SE)
Corresponding author
Shahrokni, Hossein
Venue
Journal of Industrial Ecology
Published
2015-08-18
Volume
19
Issue
5
Pages
917-929
ISSN
  • 1088-1980 (ISSN-L)
  • 1530-9290
OpenAlex
W2121213724
Cited by
123
References
46
Citations by year
2026: 3 · 2025: 7 · 2024: 7 · 2023: 9 · 2022: 7 · 2021: 18 · 2020: 27 · 2019: 15 · 2018: 15 · 2017: 8 · 2016: 5 · 2015: 2
FWCI
16.03
Type
journal article
Language
en
Open access
closed
Locations
Journal of Industrial Ecology (publishedVersion)
Topics
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Keywords
urban metabolism, smart cities, Stockholm Royal Seaport, real-time data integration, key performance indicators, energy consumption, CO2 emissions, renewable energy share, data silos, data access barriers, sustainable urban development

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