Projects per year
Abstract
Emerging concepts for sustainable urban development, such as positive energy districts/neighborhoods (PEDs/PENs), are being implemented in Europe in light of the goal of net-zero carbon emissions by 2050. From the building to the district/neighborhood scales, these projects are fostering the implementation of local renewable energy sources (RES), encouraging the adoption of electric vehicles (EVs) and smart home technologies (SHTs). In this context, a systemic analysis of energy prosumption in these new urban areas is of paramount importance to evaluate their social and technical impacts. This dataset from a Norwegian PEN enables such systemic analysis by bringing the following quantitative and qualitative data: 1) the aggregate loads of six households, 2) the estimated energy production based on the installed solar panel capacity, 3) the labelling of individual activities, 4) solar irradiance and weather data, 5) time of use of electric appliance surveys, and 6) in-depth semistructured interviews on household energy practices. Therefore, this dataset facilitates, multidisciplinary research on the sociotechnical aspects of PENs and net-positive buildings for their design and implementation, helping to answer the “what,” “why,” and “how” of energy prosumption. IEEE SOCIETY/COUNCIL Signal Processing Society (SPS) DATA TYPE/LOCATION Timeseries, Interviews; Eastern Norway (Østlandet), Norway DATA DOI/PID 10.15129/7d3ac671-2b97-439b-92cf-ce4021e804d2
Original language | English |
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Article number | 10722906 |
Journal | IEEE Data Descriptions |
Volume | 1 |
Pages (from-to) | 113-121 |
Number of pages | 9 |
ISSN | 2995-4274 |
DOIs | |
Publication status | Published - 1 Jan 2024 |
Keywords
- Buildings
- Biological system modeling
- Production
- Load modeling
- Surveys
- Energy efficiency
- Voltage control
- Training
- Temperature sensors
- Temperature measurement
- Data models
- Energy management
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Dive into the research topics of 'Descriptor: A Norwegian Positive Energy Neighborhood Dataset of Electrical Measurements and Interviews on Energy Practices (NorPEN)'. Together they form a unique fingerprint.Projects
- 1 Finished
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GECKO: Building greener and more sustainable societies by filling the knowledge gap in social science and engineering to enable responsible artificial intelligence co-creation
Christensen, T. H. B. (PI), Gram-Hanssen, K. (PI), Guasselli, F. C. (PI) & Tellarini, C. (PI)
01/01/2021 → 31/12/2024
Project: Research