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Lessons from modeling 100% renewable scenarios using GENeSYS-MOD

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Lessons from modeling 100% renewable scenarios using GENeSYS-MOD. / Oei, Pao Yu; Burandt, Thorsten; Hainsch, Karlo et al.
in: Economics of Energy and Environmental Policy, Jahrgang 9, Nr. 1, 01.01.2020, S. 103-120.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Oei, PY, Burandt, T, Hainsch, K, Löffler, K & Kemfert, C 2020, 'Lessons from modeling 100% renewable scenarios using GENeSYS-MOD', Economics of Energy and Environmental Policy, Jg. 9, Nr. 1, S. 103-120. https://doi.org/10.5547/2160-5890.9.1.poei

APA

Oei, P. Y., Burandt, T., Hainsch, K., Löffler, K., & Kemfert, C. (2020). Lessons from modeling 100% renewable scenarios using GENeSYS-MOD. Economics of Energy and Environmental Policy, 9(1), 103-120. https://doi.org/10.5547/2160-5890.9.1.poei

Vancouver

Oei PY, Burandt T, Hainsch K, Löffler K, Kemfert C. Lessons from modeling 100% renewable scenarios using GENeSYS-MOD. Economics of Energy and Environmental Policy. 2020 Jan 1;9(1):103-120. doi: 10.5547/2160-5890.9.1.poei

Bibtex

@article{85ac0b084a064605805fb8282b427a06,
title = "Lessons from modeling 100% renewable scenarios using GENeSYS-MOD",
abstract = "The main aim of models has never been to provide numbers, but insights. Still, challenges prevail for modelers to use the best configuration of their models to provide helpful insights. In the case of energy system modelling, this becomes even more complicated due to increasing complexity of the energy system transition through the potential and need for sector coupling. This paper therefore showcases specific characteristics and challenges for energy system modelling of 100% renewable scenarios. The findings are based on various applications and modifications of the framework GENeSYS-MOD examining different regional characteristics for high renewable configurations in the world, China, India, South-Africa, Mexico, Europe, Germany, and Colombia. The paper elaborates on our experiences of the last years of choosing the best, yet still computable, configuration of GENeSYS-MOD with respect to spatial and time resolution as well as sufficient detailed description of the energy system transition effects. The aim of this paper is therefore twofold, to better understand and interpret existing models as well as to improve future modeling exercises.",
keywords = "Economics, Climate policy, Energy system, Energy transition, Modeling, Renewables",
author = "Oei, {Pao Yu} and Thorsten Burandt and Karlo Hainsch and Konstantin L{\"o}ffler and Claudia Kemfert",
year = "2020",
month = jan,
day = "1",
doi = "10.5547/2160-5890.9.1.poei",
language = "English",
volume = "9",
pages = "103--120",
journal = "Economics of Energy and Environmental Policy",
issn = "2160-5882",
publisher = "International Association for Energy Economics",
number = "1",

}

RIS

TY - JOUR

T1 - Lessons from modeling 100% renewable scenarios using GENeSYS-MOD

AU - Oei, Pao Yu

AU - Burandt, Thorsten

AU - Hainsch, Karlo

AU - Löffler, Konstantin

AU - Kemfert, Claudia

PY - 2020/1/1

Y1 - 2020/1/1

N2 - The main aim of models has never been to provide numbers, but insights. Still, challenges prevail for modelers to use the best configuration of their models to provide helpful insights. In the case of energy system modelling, this becomes even more complicated due to increasing complexity of the energy system transition through the potential and need for sector coupling. This paper therefore showcases specific characteristics and challenges for energy system modelling of 100% renewable scenarios. The findings are based on various applications and modifications of the framework GENeSYS-MOD examining different regional characteristics for high renewable configurations in the world, China, India, South-Africa, Mexico, Europe, Germany, and Colombia. The paper elaborates on our experiences of the last years of choosing the best, yet still computable, configuration of GENeSYS-MOD with respect to spatial and time resolution as well as sufficient detailed description of the energy system transition effects. The aim of this paper is therefore twofold, to better understand and interpret existing models as well as to improve future modeling exercises.

AB - The main aim of models has never been to provide numbers, but insights. Still, challenges prevail for modelers to use the best configuration of their models to provide helpful insights. In the case of energy system modelling, this becomes even more complicated due to increasing complexity of the energy system transition through the potential and need for sector coupling. This paper therefore showcases specific characteristics and challenges for energy system modelling of 100% renewable scenarios. The findings are based on various applications and modifications of the framework GENeSYS-MOD examining different regional characteristics for high renewable configurations in the world, China, India, South-Africa, Mexico, Europe, Germany, and Colombia. The paper elaborates on our experiences of the last years of choosing the best, yet still computable, configuration of GENeSYS-MOD with respect to spatial and time resolution as well as sufficient detailed description of the energy system transition effects. The aim of this paper is therefore twofold, to better understand and interpret existing models as well as to improve future modeling exercises.

KW - Economics

KW - Climate policy

KW - Energy system

KW - Energy transition

KW - Modeling

KW - Renewables

UR - http://www.scopus.com/inward/record.url?scp=85079165723&partnerID=8YFLogxK

U2 - 10.5547/2160-5890.9.1.poei

DO - 10.5547/2160-5890.9.1.poei

M3 - Journal articles

AN - SCOPUS:85079165723

VL - 9

SP - 103

EP - 120

JO - Economics of Energy and Environmental Policy

JF - Economics of Energy and Environmental Policy

SN - 2160-5882

IS - 1

ER -

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