Nov. 27, 2023, 2:13 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 20, 2023, 2:03 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 13, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 6, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 14, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 7, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
July 31, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
July 24, 2023, 1:36 p.m. |
Added
35
|
{"external_links": []}
|
|
July 17, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
July 10, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
July 3, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
June 26, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
June 19, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
June 12, 2023, 1:29 p.m. |
Added
35
|
{"external_links": []}
|
|
June 5, 2023, 1:33 p.m. |
Added
35
|
{"external_links": []}
|
|
May 29, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
May 22, 2023, 1:29 p.m. |
Added
35
|
{"external_links": []}
|
|
May 15, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
May 8, 2023, 1:37 p.m. |
Added
35
|
{"external_links": []}
|
|
May 1, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 24, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
April 17, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 10, 2023, 1:25 p.m. |
Added
35
|
{"external_links": []}
|
|
April 3, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
Jan. 28, 2023, 10:52 a.m. |
Added
35
|
{"external_links": []}
|
|
April 11, 2022, 3:47 a.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 21071, "fields": {"project": 6156, "organisation": 2, "amount": 0, "start_date": "2017-09-30", "end_date": "2021-10-30", "raw_data": 28859}}]
|
|
April 11, 2022, 3:47 a.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 79587, "fields": {"project": 6156, "organisation": 115, "role": "LEAD_ORG"}}]
|
|
April 11, 2022, 3:47 a.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 49175, "fields": {"project": 6156, "person": 8804, "role": "STUDENT_PER"}}]
|
|
April 11, 2022, 3:47 a.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 49174, "fields": {"project": 6156, "person": 2671, "role": "SUPER_PER"}}]
|
|
April 11, 2022, 1:48 a.m. |
Updated
35
|
{"title": ["", "Understanding the influence of people and households on the patterns of internal temperature, gas and electricity demand."], "description": ["", "\nThe 2008 climate change act along with government targets on fuel poverty and energy efficiency have made it crucial to monitor and analyse energy demand and internal wintertime temperatures in English households. Past energy monitoring studies have identified vast differences in internal wintertime temperatures [1] and electricity consumption [2] of households, even when dwellings are near identical [3]. This study seeks to understand the groups of occupants and dwellings that consume significantly more energy, where they use it, and how their energy consumption has changed in recent years. Specific habits of groups will also be explored, for instance, whether occupants living in low-temperature dwellings are comfortable and whether these dwellings have a warmer room. As well as investigating the extent to which groups heat the dwelling when it's unoccupied. The project will have a particular emphasis on the 2.5million fuel poor households in England. These are households who would fall below the poverty line, were they to have; a warm, well-lit home, with hot water for everyday use, and the running of appliances. There are severe consequences to leaving people in fuel poverty, with the connection to a higher risk of cardio-respiratory illness. Therefore, additional investigations assessing how fuel poverty is measured, the factors that influence it, and the trade-offs different fuel poor groups make and why will be evaluated. To thoroughly investigate these matters, the latest energy monitoring dataset will be utilised, namely the 2018 Energy Follow-Up Survey. The 2018 EFUS is currently being carried out by the BRE and is expected to consist of 2,633 households undergoing a detailed interview, with current estimates of 1,000 households having temperature monitoring at 30min intervals, 500 electricity monitoring at 2sec intervals and 300 gas logging at 30min intervals; all for the period from September 2017 to April 2019. The 2011 EFUS will also be used to provide time series analysis based on the temperature and electricity datasets.\n\nThe main tasks include: \n-An investigation into fuel poverty; comparing the fuel poverty definitions, establishing the socio-economic and dwelling groups most at risk to fuel poverty and seeking to understand what causes households' fuel poverty status to change. \n-Development and calculation of metrics that describe the magnitude and patterns of energy demand and temperature in each home for both the 2011 and EFUS 2018; giving the absolute and normalised values; by house size and weather; etc. \n-Analysis, to detect any significant relationships between the physical metrics and the socio-economic and dwelling metrics and combinations thereof; for both the 2011 and 2018 EFUS. \n-To conduct analyses of suitably normalised data, to explore how the energy-related status of homes has changed over time.\n-An investigation into whether occupants living in low-temperature dwellings are comfortable and if they have a warmer room or area in the dwelling.\n\nThe research will increase knowledge of the influence of people and households on the patterns of internal temperature, gas and electricity demand; with results and conclusions being scalable to the national level. The insights gained will assist energy policy formulation, fuel poverty alleviation measures, the design of new controls and heating systems, improved stock modelling accuracy, and evidence about the health of English households. In particular, to the author's knowledge, this will be the first research to investigate fuel poverty on a group by group basis using measured temperature and electricity data. Additionally, with this analysis being carried in a time series manner it's possible to establish if the gap between fuel poor and non-fuel poor groups is widening.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
|
|
April 11, 2022, 1:48 a.m. |
Added
35
|
{"external_links": [22850]}
|
|
April 11, 2022, 1:48 a.m. |
Created
35
|
[{"model": "core.project", "pk": 6156, "fields": {"owner": null, "is_locked": false, "coped_id": "6cc219ae-23fc-4b04-b6fc-f4c53788bb70", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 28846, "created": "2022-04-11T01:42:36.418Z", "modified": "2022-04-11T01:42:36.419Z", "external_links": []}}]
|
|