Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand

Abstract To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensuring system stability and reliability by actively participating in the market. Theref...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Matteo Barsanti [verfasserIn] Jan Sören Schwarz [verfasserIn] Lionel Guy Gérard Constantin [verfasserIn] Pranay Kasturi [verfasserIn] Claudia R. Binder [verfasserIn] Sebastian Lehnhoff [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Co-simulation Socio-technical simulation Smart energy system Domestic energy demand Granularity Modularity

Übergeordnetes Werk:	In: Energy Informatics - SpringerOpen, 2018, 4(2021), S3, Seite 13
Übergeordnetes Werk:	volume:4 ; year:2021 ; number:S3 ; pages:13

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s42162-021-00180-6

Katalog-ID:	DOAJ06263707X

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callnumber-first	H - Social Science
author	Matteo Barsanti
spellingShingle	Matteo Barsanti misc HD9502-9502.5 misc Co-simulation misc Socio-technical simulation misc Smart energy system misc Domestic energy demand misc Granularity misc Modularity misc Energy industries. Energy policy. Fuel trade Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
authorStr	Matteo Barsanti
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topic_title	HD9502-9502.5 Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand Co-simulation Socio-technical simulation Smart energy system Domestic energy demand Granularity Modularity
topic	misc HD9502-9502.5 misc Co-simulation misc Socio-technical simulation misc Smart energy system misc Domestic energy demand misc Granularity misc Modularity misc Energy industries. Energy policy. Fuel trade
topic_unstemmed	misc HD9502-9502.5 misc Co-simulation misc Socio-technical simulation misc Smart energy system misc Domestic energy demand misc Granularity misc Modularity misc Energy industries. Energy policy. Fuel trade
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title	Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
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title_full	Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
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title_sort	socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
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title_auth	Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
abstract	Abstract To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensuring system stability and reliability by actively participating in the market. Therefore, tools are needed to better understand an increasingly complex and actor-dense energy system, tracking socio-technical dynamics that occur at its margins and then predicting the effects on larger scales. Yet, existing domestic energy demand models are not flexible enough to incorporate a wide range of socio-technical factors, and to be incorporated into larger energy system simulation environments. Here, a co-simulation design for domestic energy demand modeling is presented and motivated on the basis of four design principles: granularity, scalability, modularity and transparency. Microsimulation of domestic energy demand, through the Python open source library demod, shows that it is possible to achieve high detail and high temporal resolution without compromising scalability. Furthermore, mosaik, an open source co-simulation framework, makes it possible to generate, integrate and orchestrate a multitude of demod-based instances with other independent models, which for the illustrative purposes of this study are represented by a heat pump model. The authors hope that the detailed documentation of the proposed solution will encourage interdisciplinary and collaborative efforts to develop a simulation ecosystem capable of investigating alternative energy transition pathways and evaluating policy interventions through the socio-technical lens.
abstractGer	Abstract To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensuring system stability and reliability by actively participating in the market. Therefore, tools are needed to better understand an increasingly complex and actor-dense energy system, tracking socio-technical dynamics that occur at its margins and then predicting the effects on larger scales. Yet, existing domestic energy demand models are not flexible enough to incorporate a wide range of socio-technical factors, and to be incorporated into larger energy system simulation environments. Here, a co-simulation design for domestic energy demand modeling is presented and motivated on the basis of four design principles: granularity, scalability, modularity and transparency. Microsimulation of domestic energy demand, through the Python open source library demod, shows that it is possible to achieve high detail and high temporal resolution without compromising scalability. Furthermore, mosaik, an open source co-simulation framework, makes it possible to generate, integrate and orchestrate a multitude of demod-based instances with other independent models, which for the illustrative purposes of this study are represented by a heat pump model. The authors hope that the detailed documentation of the proposed solution will encourage interdisciplinary and collaborative efforts to develop a simulation ecosystem capable of investigating alternative energy transition pathways and evaluating policy interventions through the socio-technical lens.
abstract_unstemmed	Abstract To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensuring system stability and reliability by actively participating in the market. Therefore, tools are needed to better understand an increasingly complex and actor-dense energy system, tracking socio-technical dynamics that occur at its margins and then predicting the effects on larger scales. Yet, existing domestic energy demand models are not flexible enough to incorporate a wide range of socio-technical factors, and to be incorporated into larger energy system simulation environments. Here, a co-simulation design for domestic energy demand modeling is presented and motivated on the basis of four design principles: granularity, scalability, modularity and transparency. Microsimulation of domestic energy demand, through the Python open source library demod, shows that it is possible to achieve high detail and high temporal resolution without compromising scalability. Furthermore, mosaik, an open source co-simulation framework, makes it possible to generate, integrate and orchestrate a multitude of demod-based instances with other independent models, which for the illustrative purposes of this study are represented by a heat pump model. The authors hope that the detailed documentation of the proposed solution will encourage interdisciplinary and collaborative efforts to develop a simulation ecosystem capable of investigating alternative energy transition pathways and evaluating policy interventions through the socio-technical lens.
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title_short	Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
url	https://doi.org/10.1186/s42162-021-00180-6 https://doaj.org/article/947592b71593468f998c3fb2e842856d https://doaj.org/toc/2520-8942
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author2	Jan Sören Schwarz Lionel Guy Gérard Constantin Pranay Kasturi Claudia R. Binder Sebastian Lehnhoff
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up_date	2024-07-04T02:22:35.410Z
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Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand

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