Energy planning of low carbon urban areas - Examples from Finland

    Research output: Contribution to journalArticleScientificpeer-review

    40 Citations (Scopus)

    Abstract

    During urban planning, city planners and municipal authorities make various choices that impact districts' energy efficiency and emissions significantly. However, they often lack information about the actual effects of the design options. This paper describes a methodology, embedded to a tool called Kurke, that aims to support the planning of sustainable and energy efficient urban areas by analysing the energy performance of city plans and the impacts of their energy design alternatives on carbon dioxide emissions during planning. The methodology supports holistic energy analysis of urban areas, including energy demand of buildings and transport, and comparing 10 alternatives for local energy supply. The methodology is tested in two Finnish residential and mixed-use areas. The improved transportation plans can reduce CO2 emissions 10-20% compared to the business-as-usual design in case areas. CO2 emissions from buildings' heating can be reduced 18-24%. The total CO2 reduction potential of urban planning choices varies from 2% to 78% in case areas. This shows the significant role of urban planning in reducing CO2 emissions. Therefore, it is important that urban planners understand the impacts of the design decisions. Kurke tool offers such support with fast and practical evaluation of the planning options.
    Original languageEnglish
    Pages (from-to)715-728
    JournalSustainable Cities and Society
    Volume35
    Issue numberNovember
    DOIs
    Publication statusPublished - 1 Nov 2017
    MoE publication typeA1 Journal article-refereed

    Keywords

    • urban planning
    • energy analysis
    • energy demand
    • energy supply
    • transport planning
    • CO2 equivalent emission

    Fingerprint

    Dive into the research topics of 'Energy planning of low carbon urban areas - Examples from Finland'. Together they form a unique fingerprint.

    Cite this