Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households

The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these...
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Gespeichert in:

Autor*in:	Mathias Müller [verfasserIn] Florian Biedenbach [verfasserIn] Janis Reinhard [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	household load profile mobility behavior simulation consumption behavior bottom-up distribution grid

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 13(2020), 15, p 3843
Übergeordnetes Werk:	volume:13 ; year:2020 ; number:15, p 3843

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en13153843

Katalog-ID:	DOAJ086678795

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allfields	10.3390/en13153843 doi (DE-627)DOAJ086678795 (DE-599)DOAJ47b3d64dadbf4c34a567e6d0bb557ce2 DE-627 ger DE-627 rakwb eng Mathias Müller verfasserin aut Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km. household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T Florian Biedenbach verfasserin aut Janis Reinhard verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3843 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3843 https://doi.org/10.3390/en13153843 kostenfrei https://doaj.org/article/47b3d64dadbf4c34a567e6d0bb557ce2 kostenfrei https://www.mdpi.com/1996-1073/13/15/3843 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3843
spelling	10.3390/en13153843 doi (DE-627)DOAJ086678795 (DE-599)DOAJ47b3d64dadbf4c34a567e6d0bb557ce2 DE-627 ger DE-627 rakwb eng Mathias Müller verfasserin aut Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km. household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T Florian Biedenbach verfasserin aut Janis Reinhard verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3843 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3843 https://doi.org/10.3390/en13153843 kostenfrei https://doaj.org/article/47b3d64dadbf4c34a567e6d0bb557ce2 kostenfrei https://www.mdpi.com/1996-1073/13/15/3843 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3843
allfields_unstemmed	10.3390/en13153843 doi (DE-627)DOAJ086678795 (DE-599)DOAJ47b3d64dadbf4c34a567e6d0bb557ce2 DE-627 ger DE-627 rakwb eng Mathias Müller verfasserin aut Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km. household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T Florian Biedenbach verfasserin aut Janis Reinhard verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3843 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3843 https://doi.org/10.3390/en13153843 kostenfrei https://doaj.org/article/47b3d64dadbf4c34a567e6d0bb557ce2 kostenfrei https://www.mdpi.com/1996-1073/13/15/3843 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3843
allfieldsGer	10.3390/en13153843 doi (DE-627)DOAJ086678795 (DE-599)DOAJ47b3d64dadbf4c34a567e6d0bb557ce2 DE-627 ger DE-627 rakwb eng Mathias Müller verfasserin aut Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km. household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T Florian Biedenbach verfasserin aut Janis Reinhard verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3843 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3843 https://doi.org/10.3390/en13153843 kostenfrei https://doaj.org/article/47b3d64dadbf4c34a567e6d0bb557ce2 kostenfrei https://www.mdpi.com/1996-1073/13/15/3843 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3843
allfieldsSound	10.3390/en13153843 doi (DE-627)DOAJ086678795 (DE-599)DOAJ47b3d64dadbf4c34a567e6d0bb557ce2 DE-627 ger DE-627 rakwb eng Mathias Müller verfasserin aut Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km. household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T Florian Biedenbach verfasserin aut Janis Reinhard verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3843 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3843 https://doi.org/10.3390/en13153843 kostenfrei https://doaj.org/article/47b3d64dadbf4c34a567e6d0bb557ce2 kostenfrei https://www.mdpi.com/1996-1073/13/15/3843 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3843
language	English
source	In Energies 13(2020), 15, p 3843 volume:13 year:2020 number:15, p 3843
sourceStr	In Energies 13(2020), 15, p 3843 volume:13 year:2020 number:15, p 3843
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topic_facet	household load profile mobility behavior simulation consumption behavior bottom-up distribution grid Technology T
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container_title	Energies
authorswithroles_txt_mv	Mathias Müller @@aut@@ Florian Biedenbach @@aut@@ Janis Reinhard @@aut@@
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author	Mathias Müller
spellingShingle	Mathias Müller misc household load profile misc mobility behavior misc simulation misc consumption behavior misc bottom-up misc distribution grid misc Technology misc T Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households
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topic_title	Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households household load profile mobility behavior simulation consumption behavior bottom-up distribution grid
topic	misc household load profile misc mobility behavior misc simulation misc consumption behavior misc bottom-up misc distribution grid misc Technology misc T
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title	Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households
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title_auth	Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households
abstract	The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km.
abstractGer	The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km.
abstract_unstemmed	The electrification of the mobility and heating sectors will significantly change the electrical behavior of households in the future. To investigate this behavior, it is important to include the heating and mobility sectors in load profile models. Existing models do not sufficiently consider these sectors. Therefore, this work aims to develop an integrated, consistent model for the electrical and thermal load of private households and their mobility behavior. The model needs to generate regionally distinct profiles depending on the building, household and resident type and should be valid for Germany. Based on a bottom-up approach, a model consisting of four components is developed. In an activity model based on a modified Markov chain process, persons are assigned to activities. The activities are then allocated to devices in the electrical and thermal models. A mobility model assigns distances to the journey activities. The results of the simulation to validate the model shows an average annual energy consumption per household of 2751 kWh and a shape of the average load profile, both in good agreement with the reference. Furthermore, the temporal distribution of the vehicles to the locations is in accordance with the reference but the annual mileage is slightly underestimated with 10,730 km.
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Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households

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