Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning

Prina, Matteo Giacomo; Lionetti, Matteo; Manzolini, Giampaolo; Sparber, Wolfram; Moser, David

doi:10.1016/j.apenergy.2018.10.099

Cited by 121 publications

(37 citation statements)

References 18 publications

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“…Second, the link between the steps are sometime irrelevant, such as building new CCGTs and then replacing them by gas CHPs (as shown in Figure A2). The overall pathway shall be accounted as it is done in [35].…”

Section: Limits Of the Studymentioning

confidence: 99%

Belgian Energy Transition: What Are the Options?

2020

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Different scenarios at different scales must be studied to help define long term policies to decarbonate our societies. In this work, we analyse the Belgian energy system in 2035 for different carbon emission targets, and accounting for electricity, heat, and mobility. To achieve this objective, we applied the EnergyScope Typical Days open source model, which optimises both the investment and the operation strategy of a complete energy system for a target year. The model includes 96 technologies and 24 resources that have to supply, hourly, the heat, electricity, mobility, and non-energy demands. In line with other research, we identify and quantify, with a merit order, different technological steps of the energy transition. The lack of endogenous resources in Belgium is highlighted and estimated at 275.6 TWh/y. It becomes obvious that additional potentials shall be obtained by importing renewable fuels and/or electricity, deploying geothermal energy, etc. Aside from a reduction of the energy demand, a mix of solutions is shown to be, by far, the most cost effective to reach low carbon emissions.

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Section: Limits Of the Studymentioning

confidence: 99%

Belgian Energy Transition: What Are the Options?

2020

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“…The TIMES-PLEXOS and OSeMOSYS model coupling, for the Irish case [36] demonstrated that long-term energy models may clearly underestimate the importance of flexibility within the power system if short-term operating requirements are not considered. This was shown in several studies where EnergyPLAN was first coupled with GenOpt (a genetic optimization framework also known as EPOPT) [37]; EPLANopt, a hourly temporal resolution and a multi-objective investment optimization method [38] and Oemof-moea [39], a multi-objective investment optimization, both applied to the Italian case study in year 2050. Soft-linking energy demand and optimisation models for local long-term electricity planning has also been tested with success in [40] using the OSeMOSYS model.…”

Section: Introductionmentioning

confidence: 99%

The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models

et al. 2020

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The relevance of sector coupling is increasing when shifting from the current highly centralised and mainly fossil fuel-based energy system to a more decentralized and renewable energy system. Cross-sectoral linkages are already recognized as a cost-effective decarbonisation strategy that provides significant flexibility to the system. Modelling such cross-sectoral interconnections is thus highly relevant. In this work, these interactions are considered in a long-term perspective by uni-directional soft-linking of two models: JRC-EU-TIMES, a long term planning multisectoral model, and Dispa-SET, a unit commitment and optimal dispatch model covering multiple energy sectors such as power, heating & cooling, transportation etc. The impact of sector coupling in future Europe-wide energy systems with high shares of renewables is evaluated through five scenarios. Results show that the contributions of individual sectors are quite diverse. The transport sector provides the highest flexibility potential in terms of power curtailment, load shedding, congestion in the interconnection lines

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“…Interestingly, the analysis of slow deployments does not yield significantly lower costs, while yielding substantially diminished environmental benefits: This suggest that the economic optimization of energy system designs should focus on the final roadmap date, rather than on the specific path leading to it. Early research along these lines is already being conducted, applied to single countries [37] and to the development of general methods [38].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Renewable Energy Deployment Roadmaps

Mauleón¹

2019

Energies

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This research implements a methodology to the joint assessment of the photovoltaic and onshore wind investment roadmaps put forward by the main institutions in the field, International Renewable Energy Association (Irena) and the International Energy Agency, to achieve a low carbon emissions economy with near zero net greenhouse gases emissions. The two energies taken together account for over 80% of the renewable energy deployments envisaged by both roadmaps. The assessment is conducted according to economic criteria (the levelized cost of energy, capital requirements and financial risks), and environmental (carbon avoided, its value, and its cost). Given the recent Intergovernmental Panel on Climate Change (IPCC) report on the urgency to tackle climate change, accelerated deployments of the roadmaps are assessed as well. Overall, it is found that the roadmaps are financially sound, even under an accelerated scenario. Possible limits to the deployment of renewable energies roadmaps derived from the availability of raw materials and other constraints are also discussed, showing likely constraints for lithium batteries but not for photovoltaic and wind energies.

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Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning

Cited by 121 publications

References 18 publications

Belgian Energy Transition: What Are the Options?

Belgian Energy Transition: What Are the Options?

The potential of sector coupling in future European energy systems: Soft linking between the Dispa-SET and JRC-EU-TIMES models

Assessment of Renewable Energy Deployment Roadmaps

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