Optimal planning tool for zero energy district

Genku Kayo, Ala Hasan, Ivo Martinac, Risto Lahdelma

    Research output: Contribution to conferenceConference articleScientific

    Abstract

    This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.
    Original languageEnglish
    Number of pages9
    Publication statusPublished - 2016
    MoE publication typeNot Eligible
    Event3rd IBPSA-England Building Simulation & Optimization, BSO 2016 - Newcastle, United Kingdom
    Duration: 12 Sep 201614 Sep 2016

    Conference

    Conference3rd IBPSA-England Building Simulation & Optimization, BSO 2016
    Abbreviated titleBSO 2016
    CountryUnited Kingdom
    CityNewcastle
    Period12/09/1614/09/16

    Fingerprint

    Energy efficiency
    Energy utilization
    Planning
    Energy management

    Cite this

    Kayo, G., Hasan, A., Martinac, I., & Lahdelma, R. (2016). Optimal planning tool for zero energy district. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.
    Kayo, Genku ; Hasan, Ala ; Martinac, Ivo ; Lahdelma, Risto. / Optimal planning tool for zero energy district. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.9 p.
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    title = "Optimal planning tool for zero energy district",
    abstract = "This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called {"}Zero Energy District{"}. Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.",
    author = "Genku Kayo and Ala Hasan and Ivo Martinac and Risto Lahdelma",
    note = "HUO: Online proceedings, no ISSN/ISBN Project code: 101017 ; 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, BSO 2016 ; Conference date: 12-09-2016 Through 14-09-2016",
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    Kayo, G, Hasan, A, Martinac, I & Lahdelma, R 2016, 'Optimal planning tool for zero energy district', Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom, 12/09/16 - 14/09/16.

    Optimal planning tool for zero energy district. / Kayo, Genku; Hasan, Ala; Martinac, Ivo; Lahdelma, Risto.

    2016. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.

    Research output: Contribution to conferenceConference articleScientific

    TY - CONF

    T1 - Optimal planning tool for zero energy district

    AU - Kayo, Genku

    AU - Hasan, Ala

    AU - Martinac, Ivo

    AU - Lahdelma, Risto

    N1 - HUO: Online proceedings, no ISSN/ISBN Project code: 101017

    PY - 2016

    Y1 - 2016

    N2 - This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.

    AB - This approach has the potential to increase energy efficiency, renewable and local resource application. This research work describes the development of optimal planning tool with on-site energy management model and the analysis of case study existing campus building stocks. This research focuses on the boundary of the building, thereby not being limited to only a single building but spanning over a cluster of buildings, so called "Zero Energy District". Using the developed methodology, the optimal CHP capacity for each building, optimal capacity distribution in the boundary for minimizing annual primary energy consumption was simulated. The series of results in case study show that the on-site energy generation has potential to reduce primary energy consumption and it is more effective by integrating buildings. Moreover, the proposed model makes it possible to utilize the measured database of existing building stocks for planning energy efficiency improvement in the campus.

    M3 - Conference article

    ER -

    Kayo G, Hasan A, Martinac I, Lahdelma R. Optimal planning tool for zero energy district. 2016. Paper presented at 3rd IBPSA-England Building Simulation & Optimization, BSO 2016, Newcastle, United Kingdom.