DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)?
To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yilmaz, S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan - Hering, Alexandra ELSEVIER, 2019, the international journal of the political, economic, planning, environmental and social aspects of energy, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:139 ; year:2020 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.enpol.2020.111323 |
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ELV050051156 |
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| 520 | |a To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. | ||
| 520 | |a To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. | ||
| 650 | 7 | |a Appliances |2 Elsevier | |
| 650 | 7 | |a Residential |2 Elsevier | |
| 650 | 7 | |a Electricity demand profile |2 Elsevier | |
| 650 | 7 | |a Peak demand |2 Elsevier | |
| 650 | 7 | |a Demand response |2 Elsevier | |
| 650 | 7 | |a Energy efficiency |2 Elsevier | |
| 700 | 1 | |a Rinaldi, A. |4 oth | |
| 700 | 1 | |a Patel, M.K. |4 oth | |
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10.1016/j.enpol.2020.111323 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV050051156 (ELSEVIER)S0301-4215(20)30080-X DE-627 ger DE-627 rakwb eng 610 VZ 77.50 bkl Yilmaz, S. verfasserin aut DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)? 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. Appliances Elsevier Residential Elsevier Electricity demand profile Elsevier Peak demand Elsevier Demand response Elsevier Energy efficiency Elsevier Rinaldi, A. oth Patel, M.K. oth Enthalten in Elsevier Science Hering, Alexandra ELSEVIER Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan 2019 the international journal of the political, economic, planning, environmental and social aspects of energy Amsterdam [u.a.] (DE-627)ELV003447960 volume:139 year:2020 pages:0 https://doi.org/10.1016/j.enpol.2020.111323 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 139 2020 0 |
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10.1016/j.enpol.2020.111323 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV050051156 (ELSEVIER)S0301-4215(20)30080-X DE-627 ger DE-627 rakwb eng 610 VZ 77.50 bkl Yilmaz, S. verfasserin aut DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)? 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. Appliances Elsevier Residential Elsevier Electricity demand profile Elsevier Peak demand Elsevier Demand response Elsevier Energy efficiency Elsevier Rinaldi, A. oth Patel, M.K. oth Enthalten in Elsevier Science Hering, Alexandra ELSEVIER Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan 2019 the international journal of the political, economic, planning, environmental and social aspects of energy Amsterdam [u.a.] (DE-627)ELV003447960 volume:139 year:2020 pages:0 https://doi.org/10.1016/j.enpol.2020.111323 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 139 2020 0 |
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10.1016/j.enpol.2020.111323 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV050051156 (ELSEVIER)S0301-4215(20)30080-X DE-627 ger DE-627 rakwb eng 610 VZ 77.50 bkl Yilmaz, S. verfasserin aut DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)? 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. Appliances Elsevier Residential Elsevier Electricity demand profile Elsevier Peak demand Elsevier Demand response Elsevier Energy efficiency Elsevier Rinaldi, A. oth Patel, M.K. oth Enthalten in Elsevier Science Hering, Alexandra ELSEVIER Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan 2019 the international journal of the political, economic, planning, environmental and social aspects of energy Amsterdam [u.a.] (DE-627)ELV003447960 volume:139 year:2020 pages:0 https://doi.org/10.1016/j.enpol.2020.111323 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 139 2020 0 |
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10.1016/j.enpol.2020.111323 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV050051156 (ELSEVIER)S0301-4215(20)30080-X DE-627 ger DE-627 rakwb eng 610 VZ 77.50 bkl Yilmaz, S. verfasserin aut DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)? 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. Appliances Elsevier Residential Elsevier Electricity demand profile Elsevier Peak demand Elsevier Demand response Elsevier Energy efficiency Elsevier Rinaldi, A. oth Patel, M.K. oth Enthalten in Elsevier Science Hering, Alexandra ELSEVIER Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan 2019 the international journal of the political, economic, planning, environmental and social aspects of energy Amsterdam [u.a.] (DE-627)ELV003447960 volume:139 year:2020 pages:0 https://doi.org/10.1016/j.enpol.2020.111323 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 139 2020 0 |
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10.1016/j.enpol.2020.111323 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001209.pica (DE-627)ELV050051156 (ELSEVIER)S0301-4215(20)30080-X DE-627 ger DE-627 rakwb eng 610 VZ 77.50 bkl Yilmaz, S. verfasserin aut DSM interactions: What is the impact of appliance energy efficiency measures on the demand response (peak load management)? 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. Appliances Elsevier Residential Elsevier Electricity demand profile Elsevier Peak demand Elsevier Demand response Elsevier Energy efficiency Elsevier Rinaldi, A. oth Patel, M.K. oth Enthalten in Elsevier Science Hering, Alexandra ELSEVIER Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan 2019 the international journal of the political, economic, planning, environmental and social aspects of energy Amsterdam [u.a.] (DE-627)ELV003447960 volume:139 year:2020 pages:0 https://doi.org/10.1016/j.enpol.2020.111323 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 77.50 Psychophysiologie VZ AR 139 2020 0 |
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Enthalten in Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan Amsterdam [u.a.] volume:139 year:2020 pages:0 |
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Enthalten in Beyond prospective memory retrieval: Encoding and remembering of intentions across the lifespan Amsterdam [u.a.] volume:139 year:2020 pages:0 |
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To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. |
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To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. |
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To date, research has mostly focused on the impact of energy efficiency on the total electricity demand but not on the electricity demand profiles. To address this gap, we estimate the impact of energy efficiency measures and policies such as minimum energy performance standards on the peak load by developing a bottom-up model that generates Swiss household hourly electricity demand profiles per appliance based on time use data. The model estimates that evening appliance peak demand can be reduced by 38% when the appliances are replaced by the highest energy efficiency label available on market. We find that changing light bulbs to LED would have the same peak reduction as switching cooking or wet appliances to off-peak periods throughout the year. We also show that the evening appliance peak demand could reduce in 2035 by 24% thanks to the improvement of the energy performance of the stock. Cooking appliances, the least favourable appliances to be involved in demand response, is expected to be the highest contributors to the evening peak in 2035. Our findings show that policy makers should pay due attention to energy efficiency improvement not only for reducing electricity demand but also in order to reduce peak load. |
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