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Influence of simulation assumptions and input parameters on energy balance calculations of residential buildings

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  • Dodoo, Ambrose
  • Tettey, Uniben Yao Ayikoe
  • Gustavsson, Leif

Abstract

In this study, we modelled the influence of different simulation assumptions on energy balances of two variants of a residential building, comprising the building in its existing state and with energy-efficient improvements. We explored how selected parameter combinations and variations affect the energy balances of the building configurations. The selected parameters encompass outdoor microclimate, building thermal envelope and household electrical equipment including technical installations. Our modelling takes into account hourly as well as seasonal profiles of different internal heat gains. The results suggest that the impact of parameter interactions on calculated space heating of buildings is somewhat small and relatively more noticeable for an energy-efficient building in contrast to a conventional building. We find that the influence of parameters combinations is more apparent as more individual parameters are varied. The simulations show that a building's calculated space heating demand is significantly influenced by how heat gains from electrical equipment are modelled. For the analyzed building versions, calculated final energy for space heating differs by 9–14 kWh/m2 depending on the assumed energy efficiency level for electrical equipment. The influence of electrical equipment on calculated final space heating is proportionally more significant for an energy-efficient building compared to a conventional building. This study shows the influence of different simulation assumptions and parameter combinations when varied simultaneously.

Suggested Citation

  • Dodoo, Ambrose & Tettey, Uniben Yao Ayikoe & Gustavsson, Leif, 2017. "Influence of simulation assumptions and input parameters on energy balance calculations of residential buildings," Energy, Elsevier, vol. 120(C), pages 718-730.
    • Handle: RePEc:eee:energy:v:120:y:2017:i:c:p:718-730
    DOI: 10.1016/j.energy.2016.11.124
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    References listed on IDEAS

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    1. Menezes, Anna Carolina & Cripps, Andrew & Bouchlaghem, Dino & Buswell, Richard, 2012. "Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap," Applied Energy, Elsevier, vol. 97(C), pages 355-364.
    2. Yang, Dong & Li, Ping, 2015. "Dimensionless design approach, applicability and energy performance of stack-based hybrid ventilation for multi-story buildings," Energy, Elsevier, vol. 93(P1), pages 128-140.
    3. Dodoo, Ambrose & Gustavsson, Leif, 2016. "Energy use and overheating risk of Swedish multi-storey residential buildings under different climate scenarios," Energy, Elsevier, vol. 97(C), pages 534-548.
    4. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2016. "Primary energy implications of different design strategies for an apartment building," Energy, Elsevier, vol. 104(C), pages 132-148.
    5. Truong, Nguyen Le & Dodoo, Ambrose & Gustavsson, Leif, 2014. "Effects of heat and electricity saving measures in district-heated multistory residential buildings," Applied Energy, Elsevier, vol. 118(C), pages 57-67.
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    Cited by:

    1. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    2. Ayikoe Tettey, Uniben Yao & Gustavsson, Leif, 2020. "Energy savings and overheating risk of deep energy renovation of a multi-storey residential building in a cold climate under climate change," Energy, Elsevier, vol. 202(C).
    3. Sernhed, Kerstin & Lygnerud, Kristina & Werner, Sven, 2018. "Synthesis of recent Swedish district heating research," Energy, Elsevier, vol. 151(C), pages 126-132.
    4. Truong, Nguyen Le & Dodoo, Ambrose & Gustavsson, Leif, 2018. "Effects of energy efficiency measures in district-heated buildings on energy supply," Energy, Elsevier, vol. 142(C), pages 1114-1127.
    5. Soutullo, S. & Giancola, E. & Heras, M.R., 2018. "Dynamic energy assessment to analyze different refurbishment strategies of existing dwellings placed in Madrid," Energy, Elsevier, vol. 152(C), pages 1011-1023.
    6. Dodoo, Ambrose & Gustavsson, Leif & Le Truong, Nguyen, 2018. "Primary energy benefits of cost-effective energy renovation of a district heated multi-family building under different energy supply systems," Energy, Elsevier, vol. 143(C), pages 69-90.
    7. S. Soutullo & E. Giancola & M. J. Jiménez & J. A. Ferrer & M. N. Sánchez, 2020. "How Climate Trends Impact on the Thermal Performance of a Typical Residential Building in Madrid," Energies, MDPI, vol. 13(1), pages 1-21, January.
    8. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2017. "Energy use implications of different design strategies for multi-storey residential buildings under future climates," Energy, Elsevier, vol. 138(C), pages 846-860.
    9. Dodoo, Ambrose & Gustavsson, Leif & Tettey, Uniben Y.A., 2017. "Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building," Energy, Elsevier, vol. 135(C), pages 563-576.
    10. Piccardo, C. & Dodoo, A. & Gustavsson, L. & Tettey, U.Y.A., 2020. "Retrofitting with different building materials: Life-cycle primary energy implications," Energy, Elsevier, vol. 192(C).
    11. Nguyen, Truong & Gustavsson, Leif & Dodoo, Ambrose & Tettey, Uniben Yao Ayikoe, 2020. "Implications of supplying district heat to a new urban residential area in Sweden," Energy, Elsevier, vol. 194(C).

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