Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns
Understanding the diversity of energy requirements and energy-related behaviours in the residential sector is key to assessing the potential of this sector to contribute to the overall flexibility of future low-carbon power systems. Models offer the opportunity to explore the relationships between h...
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| Format: | Thesis |
| Language: | English |
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2019
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| _version_ | 1797059731376832512 |
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| author | Ramirez-Mendiola, JL |
| author2 | Eyre, N |
| author_facet | Eyre, N Ramirez-Mendiola, JL |
| author_sort | Ramirez-Mendiola, JL |
| collection | OXFORD |
| description | Understanding the diversity of energy requirements and energy-related behaviours in the residential sector is key to assessing the potential of this sector to contribute to the overall flexibility of future low-carbon power systems. Models offer the opportunity to explore the relationships between household activities and the associated electricity demand loads. However, if models are to assist in the research that aims to inform the design of effective interventions, understanding the role users play must be at the core of the modelling efforts.
Conventional approaches to residential electricity demand modelling have been developed with a view to inform conventional power systems. The simplifying assumptions that rule these models mask the complexity of the links between user activities and demand for electricity. Therefore, assessing the potential of the implementation of energy efficiency measures targeting the residential sector calls for the development of enhanced modelling approaches. In this thesis the key shortcomings of conventional modelling approaches have been identified. In particular, the analysis has revealed that conventional models consistently fail to represent the diversity of residential users. Thus, the need to re-assess the adequacy of the simplifying assumptions used in the development of conventional modelling approaches has been highlighted. The diversity of residential energy requirements has been further investigated, and novel methods to characterise the socio-demographic heterogeneity of households have been presented. Furthermore, the thesis describes novel approaches that attempt to bridge the gap between energy research through social science lenses and the development of technical modelling tools. The findings of the validation analysis show that these approaches could indeed help improve our understanding of the current role of the residential sector and assess its potential to provide additional system flexibility. |
| first_indexed | 2024-03-06T20:08:23Z |
| format | Thesis |
| id | oxford-uuid:29b0d0f5-2b2a-440d-a444-a2283192dd70 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:08:23Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | oxford-uuid:29b0d0f5-2b2a-440d-a444-a2283192dd702022-03-26T12:20:42ZResidential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patternsThesishttp://purl.org/coar/resource_type/c_db06uuid:29b0d0f5-2b2a-440d-a444-a2283192dd70Energy ResearchEnergy ModellingTransition to Net-Zero EmissionsEnergy Systems AnalysisEnglishHyrax Deposit2019Ramirez-Mendiola, JLEyre, NGrunewald, PHall, JTorriti, JUnderstanding the diversity of energy requirements and energy-related behaviours in the residential sector is key to assessing the potential of this sector to contribute to the overall flexibility of future low-carbon power systems. Models offer the opportunity to explore the relationships between household activities and the associated electricity demand loads. However, if models are to assist in the research that aims to inform the design of effective interventions, understanding the role users play must be at the core of the modelling efforts. Conventional approaches to residential electricity demand modelling have been developed with a view to inform conventional power systems. The simplifying assumptions that rule these models mask the complexity of the links between user activities and demand for electricity. Therefore, assessing the potential of the implementation of energy efficiency measures targeting the residential sector calls for the development of enhanced modelling approaches. In this thesis the key shortcomings of conventional modelling approaches have been identified. In particular, the analysis has revealed that conventional models consistently fail to represent the diversity of residential users. Thus, the need to re-assess the adequacy of the simplifying assumptions used in the development of conventional modelling approaches has been highlighted. The diversity of residential energy requirements has been further investigated, and novel methods to characterise the socio-demographic heterogeneity of households have been presented. Furthermore, the thesis describes novel approaches that attempt to bridge the gap between energy research through social science lenses and the development of technical modelling tools. The findings of the validation analysis show that these approaches could indeed help improve our understanding of the current role of the residential sector and assess its potential to provide additional system flexibility. |
| spellingShingle | Energy Research Energy Modelling Transition to Net-Zero Emissions Energy Systems Analysis Ramirez-Mendiola, JL Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title | Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title_full | Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title_fullStr | Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title_full_unstemmed | Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title_short | Residential electricity demand: A modelling analysis of the dynamics of household activity and energy consumption patterns |
| title_sort | residential electricity demand a modelling analysis of the dynamics of household activity and energy consumption patterns |
| topic | Energy Research Energy Modelling Transition to Net-Zero Emissions Energy Systems Analysis |
| work_keys_str_mv | AT ramirezmendiolajl residentialelectricitydemandamodellinganalysisofthedynamicsofhouseholdactivityandenergyconsumptionpatterns |