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A complex mixed-methods data-driven energy-centric evaluation of net-positive households

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  • Vavouris, Apostolos
  • Guasselli, Fernanda
  • Stankovic, Lina
  • Stankovic, Vladimir
  • Gram-Hanssen, Kirsten
  • Didierjean, Sébastien

Abstract

Following the Paris agreement, different policy incentives aiming at the reduction of carbon emissions have been introduced worldwide. Dwellings that benefit from increased renewables penetration, aiming at achieving net-zero and even net-positive energy balance, are being designed and deployed in different countries. This article presents a design mixed-methods approach, based on collected quantitative and qualitative data, to answer the “what”, “why” and “how” of energy prosumption in net-positive dwellings. We demonstrate the strong influence of domestic routines and dynamic energy import and export pricing on explaining energy-centric deviation from net-positive design ambitions. Findings from net-positive neighbourhood households, equipped with geothermal heating, solar generation and electric vehicles, in Norway further provide actionable insights on demand-side reduction and flexibility in energy consumption and how to achieve true energy net-positive balance. Specifically, our analysis demonstrates a significant gap between actual energy bills and user expectations, and potential energy cost reduction up to 10% on a per-activity basis through demand side flexibility in relation to dynamic tariffs as well as a maximum observed bill reduction of up to 50% compared to the baseline scenario for households not adapting their activities inline with dynamic tariffs.

Suggested Citation

  • Vavouris, Apostolos & Guasselli, Fernanda & Stankovic, Lina & Stankovic, Vladimir & Gram-Hanssen, Kirsten & Didierjean, Sébastien, 2024. "A complex mixed-methods data-driven energy-centric evaluation of net-positive households," Applied Energy, Elsevier, vol. 367(C).
  • Handle: RePEc:eee:appene:v:367:y:2024:i:c:s0306261924007876
    DOI: 10.1016/j.apenergy.2024.123404
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    References listed on IDEAS

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    1. Chenghao Wang & Jiyun Song & Dachuan Shi & Janet L. Reyna & Henry Horsey & Sarah Feron & Yuyu Zhou & Zutao Ouyang & Ying Li & Robert B. Jackson, 2023. "Impacts of climate change, population growth, and power sector decarbonization on urban building energy use," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Apostolos Vavouris & Benjamin Garside & Lina Stankovic & Vladimir Stankovic, 2022. "Low-Frequency Non-Intrusive Load Monitoring of Electric Vehicles in Houses with Solar Generation: Generalisability and Transferability," Energies, MDPI, vol. 15(6), pages 1-27, March.
    3. Stankovic, L. & Stankovic, V. & Liao, J. & Wilson, C., 2016. "Measuring the energy intensity of domestic activities from smart meter data," Applied Energy, Elsevier, vol. 183(C), pages 1565-1580.
    4. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    5. Amasyali, Kadir & El-Gohary, Nora M., 2018. "A review of data-driven building energy consumption prediction studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1192-1205.
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