Performance analysis of a semi-virtual renewable energy system and building operation

M. Lu, Simo Kilpeläinen, Sunliang Cao, A. Hasan, S. Chen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    This paper describes the composition and operation of a semi-virtual energy system and building emulator. The research is part of a joint project between VTT Technical Research Centre of Finland and Aalto University funded by the Academy of Finland. The system consists of a real part of energy production (PV panels, micro-wind turbine and solar thermal collectors), storage (battery pack and hot water storage tanks) and conversion (ground-source heat pump GSHP and electric heater) combined with a virtual part that models a single-family house in the computer simulation program TRNSYS. A Labview program is used for communication and control between the real and the virtual parts. In this paper, measurement data from six selected studied periods in each month in September 2015 to February 2016 are analysed. The data indicates that during the studied period, the electricity consumption was 1290 kWh, divided to 44/38/18 % between household appliances, GSHP and electric heater, respectively. The local net production was 250 kWh, or 19 % of the demand. 54% of the production came from PV, which was heavily concentrated in September and October. Wind production was winter-centred. Two indices are used to represent the electrical energy matching aspects of the system: OEFe (on-site electrical energy fraction), the fraction of the building electrical demand covered by local production, and OEMe (on-site electrical energy matching), the ratio of the building's self-consumption to the total local production. It is found that the matching capability of the energy system is poor, which is due to daily and seasonal mismatches between energy production and demand. The small net production compared to demand leads to small OEFe and large OEMe values overall. OEFe exhibits strong daily/nightly trends in September and October due to the PV production. OEME is mostly unity except for short times when it drops around noon when PV production is at its highest. In wind-dominated winter months, the day/night trends of the indices are not so visible.
    Original languageEnglish
    Title of host publicationProceedings of SET 2017 International Conference
    PublisherUniversita di Bologna
    ISBN (Print)979-12-200-2203-3
    Publication statusPublished - 2017
    MoE publication typeA4 Article in a conference publication
    Event16th International Conference on Sustainable Energy Technologies, SET 2017 - Bologna, Italy
    Duration: 17 Jul 201720 Jul 2017

    Conference

    Conference16th International Conference on Sustainable Energy Technologies, SET 2017
    Abbreviated titleSET 2017
    CountryItaly
    CityBologna
    Period17/07/1720/07/17

    Fingerprint

    Geothermal heat pumps
    Domestic appliances
    Wind turbines
    Electricity
    Communication
    Computer simulation
    Chemical analysis
    Water
    Hot Temperature

    Keywords

    • nearly zero-energy buildings
    • energy matching
    • renewables
    • building emulation

    Cite this

    Lu, M., Kilpeläinen, S., Cao, S., Hasan, A., & Chen, S. (2017). Performance analysis of a semi-virtual renewable energy system and building operation. In Proceedings of SET 2017 International Conference Universita di Bologna.
    Lu, M. ; Kilpeläinen, Simo ; Cao, Sunliang ; Hasan, A. ; Chen, S. / Performance analysis of a semi-virtual renewable energy system and building operation. Proceedings of SET 2017 International Conference. Universita di Bologna, 2017.
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    abstract = "This paper describes the composition and operation of a semi-virtual energy system and building emulator. The research is part of a joint project between VTT Technical Research Centre of Finland and Aalto University funded by the Academy of Finland. The system consists of a real part of energy production (PV panels, micro-wind turbine and solar thermal collectors), storage (battery pack and hot water storage tanks) and conversion (ground-source heat pump GSHP and electric heater) combined with a virtual part that models a single-family house in the computer simulation program TRNSYS. A Labview program is used for communication and control between the real and the virtual parts. In this paper, measurement data from six selected studied periods in each month in September 2015 to February 2016 are analysed. The data indicates that during the studied period, the electricity consumption was 1290 kWh, divided to 44/38/18 {\%} between household appliances, GSHP and electric heater, respectively. The local net production was 250 kWh, or 19 {\%} of the demand. 54{\%} of the production came from PV, which was heavily concentrated in September and October. Wind production was winter-centred. Two indices are used to represent the electrical energy matching aspects of the system: OEFe (on-site electrical energy fraction), the fraction of the building electrical demand covered by local production, and OEMe (on-site electrical energy matching), the ratio of the building's self-consumption to the total local production. It is found that the matching capability of the energy system is poor, which is due to daily and seasonal mismatches between energy production and demand. The small net production compared to demand leads to small OEFe and large OEMe values overall. OEFe exhibits strong daily/nightly trends in September and October due to the PV production. OEME is mostly unity except for short times when it drops around noon when PV production is at its highest. In wind-dominated winter months, the day/night trends of the indices are not so visible.",
    keywords = "nearly zero-energy buildings, energy matching, renewables, building emulation",
    author = "M. Lu and Simo Kilpel{\"a}inen and Sunliang Cao and A. Hasan and S. Chen",
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    year = "2017",
    language = "English",
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    Lu, M, Kilpeläinen, S, Cao, S, Hasan, A & Chen, S 2017, Performance analysis of a semi-virtual renewable energy system and building operation. in Proceedings of SET 2017 International Conference. Universita di Bologna, 16th International Conference on Sustainable Energy Technologies, SET 2017, Bologna, Italy, 17/07/17.

    Performance analysis of a semi-virtual renewable energy system and building operation. / Lu, M.; Kilpeläinen, Simo; Cao, Sunliang; Hasan, A.; Chen, S.

    Proceedings of SET 2017 International Conference. Universita di Bologna, 2017.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    TY - GEN

    T1 - Performance analysis of a semi-virtual renewable energy system and building operation

    AU - Lu, M.

    AU - Kilpeläinen, Simo

    AU - Cao, Sunliang

    AU - Hasan, A.

    AU - Chen, S.

    N1 - Project code: 101017

    PY - 2017

    Y1 - 2017

    N2 - This paper describes the composition and operation of a semi-virtual energy system and building emulator. The research is part of a joint project between VTT Technical Research Centre of Finland and Aalto University funded by the Academy of Finland. The system consists of a real part of energy production (PV panels, micro-wind turbine and solar thermal collectors), storage (battery pack and hot water storage tanks) and conversion (ground-source heat pump GSHP and electric heater) combined with a virtual part that models a single-family house in the computer simulation program TRNSYS. A Labview program is used for communication and control between the real and the virtual parts. In this paper, measurement data from six selected studied periods in each month in September 2015 to February 2016 are analysed. The data indicates that during the studied period, the electricity consumption was 1290 kWh, divided to 44/38/18 % between household appliances, GSHP and electric heater, respectively. The local net production was 250 kWh, or 19 % of the demand. 54% of the production came from PV, which was heavily concentrated in September and October. Wind production was winter-centred. Two indices are used to represent the electrical energy matching aspects of the system: OEFe (on-site electrical energy fraction), the fraction of the building electrical demand covered by local production, and OEMe (on-site electrical energy matching), the ratio of the building's self-consumption to the total local production. It is found that the matching capability of the energy system is poor, which is due to daily and seasonal mismatches between energy production and demand. The small net production compared to demand leads to small OEFe and large OEMe values overall. OEFe exhibits strong daily/nightly trends in September and October due to the PV production. OEME is mostly unity except for short times when it drops around noon when PV production is at its highest. In wind-dominated winter months, the day/night trends of the indices are not so visible.

    AB - This paper describes the composition and operation of a semi-virtual energy system and building emulator. The research is part of a joint project between VTT Technical Research Centre of Finland and Aalto University funded by the Academy of Finland. The system consists of a real part of energy production (PV panels, micro-wind turbine and solar thermal collectors), storage (battery pack and hot water storage tanks) and conversion (ground-source heat pump GSHP and electric heater) combined with a virtual part that models a single-family house in the computer simulation program TRNSYS. A Labview program is used for communication and control between the real and the virtual parts. In this paper, measurement data from six selected studied periods in each month in September 2015 to February 2016 are analysed. The data indicates that during the studied period, the electricity consumption was 1290 kWh, divided to 44/38/18 % between household appliances, GSHP and electric heater, respectively. The local net production was 250 kWh, or 19 % of the demand. 54% of the production came from PV, which was heavily concentrated in September and October. Wind production was winter-centred. Two indices are used to represent the electrical energy matching aspects of the system: OEFe (on-site electrical energy fraction), the fraction of the building electrical demand covered by local production, and OEMe (on-site electrical energy matching), the ratio of the building's self-consumption to the total local production. It is found that the matching capability of the energy system is poor, which is due to daily and seasonal mismatches between energy production and demand. The small net production compared to demand leads to small OEFe and large OEMe values overall. OEFe exhibits strong daily/nightly trends in September and October due to the PV production. OEME is mostly unity except for short times when it drops around noon when PV production is at its highest. In wind-dominated winter months, the day/night trends of the indices are not so visible.

    KW - nearly zero-energy buildings

    KW - energy matching

    KW - renewables

    KW - building emulation

    M3 - Conference article in proceedings

    SN - 979-12-200-2203-3

    BT - Proceedings of SET 2017 International Conference

    PB - Universita di Bologna

    ER -

    Lu M, Kilpeläinen S, Cao S, Hasan A, Chen S. Performance analysis of a semi-virtual renewable energy system and building operation. In Proceedings of SET 2017 International Conference. Universita di Bologna. 2017