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A systemic approach to analyze integrated energy system modeling tools: A review of national models

We reviewed the literature focusing on nineteen integrated Energy System Models (ESMs) to: (i) identify the capabilities and shortcomings of current ESMs to analyze adequately the transition towards a low-carbon energy system; (ii) assess the performance of the selected models by means of the derive...

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Autores principales: Fattahi, A., Sijm, J., Faaij, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452863/
https://www.ncbi.nlm.nih.gov/pubmed/34234617
http://dx.doi.org/10.1016/j.rser.2020.110195
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author Fattahi, A.
Sijm, J.
Faaij, A.
author_facet Fattahi, A.
Sijm, J.
Faaij, A.
author_sort Fattahi, A.
collection PubMed
description We reviewed the literature focusing on nineteen integrated Energy System Models (ESMs) to: (i) identify the capabilities and shortcomings of current ESMs to analyze adequately the transition towards a low-carbon energy system; (ii) assess the performance of the selected models by means of the derived criteria, and (iii) discuss some potential solutions to address the ESM gaps. This paper delivers three main outcomes. First, we identify key criteria for analyzing current ESMs and we describe seven current and future low-carbon energy system modeling challenges: the increasing need for flexibility, further electrification, emergence of new technologies, technological learning and efficiency improvements, decentralization, macroeconomic interactions, and the role of social behavior in the energy system transition. These criteria are then translated into required modeling capabilities such as the need for hourly temporal resolution, sectoral coupling technologies (e.g., P2X), technological learning, flexibility technologies, stakeholder behavior, cross border trade, and linking with macroeconomic models. Second, a Multi-Criteria Analysis (MCA) is used as a framework to identify modeling gaps while clarifying high modeling capabilities of MARKAL, TIMES, REMix, PRIMES, and METIS. Third, to bridge major energy modeling gaps, two conceptual modeling suites are suggested, based on both optimization and simulation methodologies, in which the integrated ESM is hard-linked with a regional model and an energy market model and soft-linked with a macroeconomic model.
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spelling pubmed-74528632020-08-28 A systemic approach to analyze integrated energy system modeling tools: A review of national models Fattahi, A. Sijm, J. Faaij, A. Renew Sustain Energy Rev Article We reviewed the literature focusing on nineteen integrated Energy System Models (ESMs) to: (i) identify the capabilities and shortcomings of current ESMs to analyze adequately the transition towards a low-carbon energy system; (ii) assess the performance of the selected models by means of the derived criteria, and (iii) discuss some potential solutions to address the ESM gaps. This paper delivers three main outcomes. First, we identify key criteria for analyzing current ESMs and we describe seven current and future low-carbon energy system modeling challenges: the increasing need for flexibility, further electrification, emergence of new technologies, technological learning and efficiency improvements, decentralization, macroeconomic interactions, and the role of social behavior in the energy system transition. These criteria are then translated into required modeling capabilities such as the need for hourly temporal resolution, sectoral coupling technologies (e.g., P2X), technological learning, flexibility technologies, stakeholder behavior, cross border trade, and linking with macroeconomic models. Second, a Multi-Criteria Analysis (MCA) is used as a framework to identify modeling gaps while clarifying high modeling capabilities of MARKAL, TIMES, REMix, PRIMES, and METIS. Third, to bridge major energy modeling gaps, two conceptual modeling suites are suggested, based on both optimization and simulation methodologies, in which the integrated ESM is hard-linked with a regional model and an energy market model and soft-linked with a macroeconomic model. The Authors. Published by Elsevier Ltd. 2020-11 2020-08-28 /pmc/articles/PMC7452863/ /pubmed/34234617 http://dx.doi.org/10.1016/j.rser.2020.110195 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Fattahi, A.
Sijm, J.
Faaij, A.
A systemic approach to analyze integrated energy system modeling tools: A review of national models
title A systemic approach to analyze integrated energy system modeling tools: A review of national models
title_full A systemic approach to analyze integrated energy system modeling tools: A review of national models
title_fullStr A systemic approach to analyze integrated energy system modeling tools: A review of national models
title_full_unstemmed A systemic approach to analyze integrated energy system modeling tools: A review of national models
title_short A systemic approach to analyze integrated energy system modeling tools: A review of national models
title_sort systemic approach to analyze integrated energy system modeling tools: a review of national models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452863/
https://www.ncbi.nlm.nih.gov/pubmed/34234617
http://dx.doi.org/10.1016/j.rser.2020.110195
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