Academic Journal
Variability in electricity consumption by category of consumer:The impact on electricity load profiles
| العنوان: | Variability in electricity consumption by category of consumer:The impact on electricity load profiles |
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| المؤلفون: | Andreas Gunkel, Philipp, Klinge Jacobsen, Henrik, Bergaentzlé, Claire-Marie, Scheller, Fabian, Møller Andersen, Frits |
| المصدر: | Andreas Gunkel , P , Klinge Jacobsen , H , Bergaentzlé , C-M , Scheller , F & Møller Andersen , F 2023 , ' Variability in electricity consumption by category of consumer : The impact on electricity load profiles ' , International Journal of Electrical Power and Energy Systems , vol. 147 , 108852 . https://doi.org/10.1016/j.ijepes.2022.108852 |
| سنة النشر: | 2023 |
| المجموعة: | Technical University of Denmark: DTU Orbit / Danmarks Tekniske Universitet |
| مصطلحات موضوعية: | Consumption distribution, Electrification, Household characteristics, Peak, Residential electricity consumption, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, name=SDG 7 - Affordable and Clean Energy |
| الوصف: | Residential electrification of transport and heat is changing consumption and its characteristics significantly. Previous studies have demonstrated the impact of socio-techno-economic determinants on residential consumption. However, they fail to capture the distributional characteristics of such consumer groups, which impact network planning and flexibility assessment. Using actual residential electricity consumption profile data for 720,000 households in Denmark, we demonstrate that heat pumps are more likely to influence aggregated peak consumption than electric vehicles. At the same time, other socio-economic factors, such as occupancy, dwelling area and income, show little impact. Comparing the extrapolation of a comprehensive rollout of heat pumps or electric vehicles indicates that the most common consumer category deploying heat pumps has 14% more maximum consumption during peak load hours, 46% more average consumption and twice the higher median compared to households owning an electric vehicle. Electric vehicle show already flexibility with coincidence factors that ranges between 5 and 15% with a maximum of 17% whereas heat pumps are mostly baseload. The detailed and holistic outcomes of this study support flexibility assessment and grid planning in future studies but also the operation of flexible technologies. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | https://orbit.dtu.dk/en/publications/90a5db0a-508a-4830-98f3-c8f13499feb6 |
| DOI: | 10.1016/j.ijepes.2022.108852 |
| الاتاحة: | https://orbit.dtu.dk/en/publications/90a5db0a-508a-4830-98f3-c8f13499feb6 https://doi.org/10.1016/j.ijepes.2022.108852 https://backend.orbit.dtu.dk/ws/files/298007039/1_s2.0_S0142061522008481_main.pdf |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.15FF86CF |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.ijepes.2022.108852 |
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