Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools

Després, Jacques; Hadjsaïd, Nourédine; Criqui, Patrick; Noirot, Isabelle

doi:10.1016/j.energy.2014.12.005

Cited by 151 publications

(62 citation statements)

References 45 publications

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“…We focus this paper on the role of energy storage in long-term scenarios since the subject was not a lot investigated up to now (Després et al, 2015). We choose to concentrate here on hydro pumping (the most commonly used electricity storage technology today, with 99% of installed storage capacities); adiabatic Compressed Air Energy Storage (a-CAES), as it is a high-potential, high-capacity technology (with efficiency and costs more advantageous than power-to-power hydrogen storage) and Lithium-ion batteries (which have a very high development potential, benefiting from the development of electric vehicles).…”

Section: Storage and Other Flexibility Optionsmentioning

confidence: 99%

“…Grenoble Alpes (EDDEN team) and JRC IPTS (Joint Research Center Institute for Prospective Technological Studies). It is a bottom-up simulation model (Després, 2015a;Després et al, 2015;POLES Manual, Version 6.1, 2010). It covers 57 regions of the world (some regions include several countries) and is run in this paper from 2000 to 2100.…”

Section: Poles (Prospective Outlook On Long-term Energy Systems)mentioning

confidence: 99%

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Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis

et al. 2017

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In this paper we demonstrate the role of electricity storage for the integration of high shares of Variable Renewable Energy Sources (VRES 3 ) in the long-term evolution of the power system. For this a new electricity module is developed in POLES (Prospective Outlook on Long-term Energy Systems). It now takes into account the impacts of VRES on the European power system. The power system operation relies on EUCAD (European Unit Commitment And Dispatch), which includes daily storage and other inter-temporal constraints. The innovative aspect of our work is the direct coupling between POLES and EUCAD, thus combining a long-term simulation horizon and a short-term approach for the power system operation. The storage technologies represented are pumped-hydro storage, lithium-ion batteries, adiabatic Compressed Air Energy Storage (a-CAES) and electric vehicles (charging optimisation and vehicle-to-grid). Demand response and European grid interconnections are also represented, in order to include to some extent these flexibility options.

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Section: Storage and Other Flexibility Optionsmentioning

confidence: 99%

Section: Poles (Prospective Outlook On Long-term Energy Systems)mentioning

confidence: 99%

Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis

et al. 2017

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“…More detailed descriptions of energy models are reviewed by Bhowmik et al (2017), Calvin et al (2012), Chen et al (2016), Connolly et al (2010), Després et al (2015), Foley et al (2010), Pfenninger et al (2014), Suganthi and Samuel (2012), and Weijermars et al (2012).…”

Section: Which Tools To Use? a Synthesismentioning

confidence: 99%

“…One of the well-known simulation models is LEAP, which provides energy system evolution scenarios instead of a single optimum path (Després et al, 2015). Another energy scenario model is of Rogeaulito, which forecast energy supply and demand separately in order to identify potential energy crises (Benichou and Mayr, 2014).…”

Section: Bottom-up Energy Modelingmentioning

confidence: 99%

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

et al. 2017

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Renewable energy planners in developing countries should be cautious in using analytical tools formulated in developed countries. Traditional energy consumption, economic and demography transitions, high-income inequality, and informal economy are some characteristics of developing countries that may contradict the assumptions of mainstream, widely used analytical tools. In this study, we synthesize the debate in previous review studies on energy models for developing countries and then extend the scope of the previous studies by highlighting emerging methods of system thinking, life cycle thinking, and decision support analysis. We then discuss how these tools have been used for renewable energy analysis in developing countries and found out that not all studies are aware of the emerging critical issues in developing countries. We offer here a guidance to select the most appropriate analytical tool, mainly when dealing with energy modeling and analysis for developing countries. We also suggest potential future improvements to the analytical tool for renewable energy modeling and analysis in the developing countries.

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“…Multi-objective optimization was also used for the long-term energy planning of power systems. The focus of these studies was mainly on renewable energy and integration of electric vehicles in existing power systems ( (Després et al, 2015;Prebeg et al, 2016). A harmonic controller, as a part of a lowvoltage grid, and integration of electric vehicle batteries as power storage devices, was studied by Görbe et al (2012).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Multi-objective optimization of a simplified factory model acting as a prosumer on the electricity market

Perković

Mikulčić

Duić

2017

Journal of Cleaner Production

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Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools

Cited by 151 publications

References 45 publications

Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis

Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis

Selecting Tools for Renewable Energy Analysis in Developing Countries: An Expanded Review

Multi-objective optimization of a simplified factory model acting as a prosumer on the electricity market

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