Detailed comparison of energy-related time-use diaries and monitored residential electricity demand
Understanding demand flexibility in the residential sector depends on understanding the causal link between household occupants’ activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants’ activities and has been...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Izdano: |
Elsevier
2018
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| _version_ | 1826289040089939968 |
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| author | Suomalainen, K Eyres, D Ford, R Stephenson, J Anderson, B Jack, M |
| author_facet | Suomalainen, K Eyres, D Ford, R Stephenson, J Anderson, B Jack, M |
| author_sort | Suomalainen, K |
| collection | OXFORD |
| description | Understanding demand flexibility in the residential sector depends on understanding the causal link between household occupants’ activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants’ activities and has been integrated into residential electricity demand simulation models. Conversely, smart meter electricity demand data is increasingly used to infer occupants’ activities. Underlying both these approaches are a number of unverified assumptions about people’s perceptions of their energy use, the accuracy with which they report these activities and the physical operation of electrical devices. This paper carries out a comparison between self-reported energy-related activities and monitored electricity demand in 15 households over a week-long time period, with focus on electric hot water cylinders and heat pumps as appliances with large potential for demand flexibility. This comparison quantifies the extent to which self-reported activity is a predictor of electricity demand and conversely, whether electricity demand can accurately identify occupant activity. Results show that, although there is significant variation across households, self-reported activity tends to be a reasonably good predictor of electricity demand. However, due to the intervention of thermostat-controlled devices, electricity demand is not a good indicator of occupant activity. |
| first_indexed | 2024-03-07T02:22:50Z |
| format | Journal article |
| id | oxford-uuid:a48e1327-34ed-4622-9076-ac4a3df123eb |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:22:50Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:a48e1327-34ed-4622-9076-ac4a3df123eb2022-03-27T02:34:33ZDetailed comparison of energy-related time-use diaries and monitored residential electricity demandJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a48e1327-34ed-4622-9076-ac4a3df123ebSymplectic Elements at OxfordElsevier2018Suomalainen, KEyres, DFord, RStephenson, JAnderson, BJack, MUnderstanding demand flexibility in the residential sector depends on understanding the causal link between household occupants’ activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants’ activities and has been integrated into residential electricity demand simulation models. Conversely, smart meter electricity demand data is increasingly used to infer occupants’ activities. Underlying both these approaches are a number of unverified assumptions about people’s perceptions of their energy use, the accuracy with which they report these activities and the physical operation of electrical devices. This paper carries out a comparison between self-reported energy-related activities and monitored electricity demand in 15 households over a week-long time period, with focus on electric hot water cylinders and heat pumps as appliances with large potential for demand flexibility. This comparison quantifies the extent to which self-reported activity is a predictor of electricity demand and conversely, whether electricity demand can accurately identify occupant activity. Results show that, although there is significant variation across households, self-reported activity tends to be a reasonably good predictor of electricity demand. However, due to the intervention of thermostat-controlled devices, electricity demand is not a good indicator of occupant activity. |
| spellingShingle | Suomalainen, K Eyres, D Ford, R Stephenson, J Anderson, B Jack, M Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title | Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title_full | Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title_fullStr | Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title_full_unstemmed | Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title_short | Detailed comparison of energy-related time-use diaries and monitored residential electricity demand |
| title_sort | detailed comparison of energy related time use diaries and monitored residential electricity demand |
| work_keys_str_mv | AT suomalainenk detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand AT eyresd detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand AT fordr detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand AT stephensonj detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand AT andersonb detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand AT jackm detailedcomparisonofenergyrelatedtimeusediariesandmonitoredresidentialelectricitydemand |