Automated Author ProfileWatson, Stephen
Loughborough University0000-0003-0793-5987
Watson, Stephen
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.9 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: Dwelling and household characteristics' influence on reported and measured summertime overheating: a glimpse of a mild climate in the 2050’s, published in Building and Environment in 2021. The analyses aim to identify the dwellings and household characteristics for which there is a significant difference in the prevalence of overheating in the living room or main bedroom.
Authors
- Lomas, Kevin ;
- Watson, Stephen ;
- Allinson, David ;
- Fateh, Amirreza ;
- Beaumont, A ;
- Allen, J ;
- Foster, H ;
- Garrett, H
Supplementary files for article Predicting future GB heat pump electricity demand To meet net zero carbon targets by 2050s, countries with cold winters, such as Great Britain (GB), will turn to low carbon domestic heating systems such as electric heat pumps. In this paper, a statistical model is developed using measured performance data from over 550 heat pumps installed in GB homes in 2012. The model is used to predict the additional load on the GB electricity generation and distribution infrastructure for various current and future (2050) climates, dwelling energy efficiencies and heat pump deployment scenarios. For a cold year in the 2020s, a 100% uptake of heat pumps in the existing GB dwelling stock gave a peak electricity demand for the heat pumps of 78 GW and an annual electricity demand of 189 TWh. When added to the other, existing electricity demand, this represents an increase in the GB peak electricity demand in excess of 100% and an annual electricity demand increase of around 60%. Making reasonable assumptions about heat pumps’ future efficiency and use, and the future climate and dwelling stock fabric efficiency, and assuming 80% heat pump uptake and no load shifting, the peak heat pump electricity demand for a cold year in the 2050s halved to 37 GW. By shifting demand for water and space heating the 2020s cold year peak demand reduced by 15%. The work provides a more robust estimate of future GB heat pump electricity demands than any previously available. The predicted future ramp rates, peak and annual total electricity demands, are lower than predicted by previous analysts.
Authors
- Watson, Stephen ;
- Crawley, Jenny ;
- Lomas, Kevin ;
- Buswell, Richard
Supplementary files for article Predicting future GB heat pump electricity demand To meet net zero carbon targets by 2050s, countries with cold winters, such as Great Britain (GB), will turn to low carbon domestic heating systems such as electric heat pumps. In this paper, a statistical model is developed using measured performance data from over 550 heat pumps installed in GB homes in 2012. The model is used to predict the additional load on the GB electricity generation and distribution infrastructure for various current and future (2050) climates, dwelling energy efficiencies and heat pump deployment scenarios. For a cold year in the 2020s, a 100% uptake of heat pumps in the existing GB dwelling stock gave a peak electricity demand for the heat pumps of 78 GW and an annual electricity demand of 189 TWh. When added to the other, existing electricity demand, this represents an increase in the GB peak electricity demand in excess of 100% and an annual electricity demand increase of around 60%. Making reasonable assumptions about heat pumps’ future efficiency and use, and the future climate and dwelling stock fabric efficiency, and assuming 80% heat pump uptake and no load shifting, the peak heat pump electricity demand for a cold year in the 2050s halved to 37 GW. By shifting demand for water and space heating the 2020s cold year peak demand reduced by 15%. The work provides a more robust estimate of future GB heat pump electricity demands than any previously available. The predicted future ramp rates, peak and annual total electricity demands, are lower than predicted by previous analysts.
Authors
- Watson, Stephen ;
- Crawley, Jenny ;
- Lomas, Kevin ;
- Buswell, Richard
This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: Dwelling and household characteristics' influence on reported and measured summertime overheating: a glimpse of a mild climate in the 2050’s, published in Building and Environment in 2021. The analyses aim to identify the dwellings and household characteristics for which there is a significant difference in the prevalence of overheating in the living room or main bedroom.
Authors
- Lomas, Kevin ;
- Watson, Stephen ;
- Allinson, David ;
- Fateh, Amirreza ;
- Beaumont, A ;
- Allen, J ;
- Foster, H ;
- Garrett, H
This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: Dwelling and household characteristics' influence on reported and measured summertime overheating: a glimpse of a mild climate in the 2050’s, published in Building and Environment in 2021. The analyses aim to identify the dwellings and household characteristics for which there is a significant difference in the prevalence of overheating in the living room or main bedroom.
Authors
- Lomas, Kevin ;
- Watson, Stephen ;
- Allinson, David ;
- Fateh, Amirreza ;
- Beaumont, A ;
- Allen, J ;
- Foster, H ;
- Garrett, H