South East Europe Electricity Roadmap (SEERMAP)

Szabó, László; Mezősi, András; Pato, Zs.; Kácsor, Enikő; Kelemen, Ágnes; Resch, Gustav; Liebmann, Lukas

doi:10.1109/eem.2018.8469963

Cited by 4 publications

(7 citation statements)

References 7 publications

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“…The model maximises the producer and consumer welfare throughout the whole modelled region. For further details on the modelling (including inputs and assumptions), see: [42,43] (Most of the inputs are the same as the ones used for the SEERMAP-South East European Roadmap modelling, a cooperation between REKK and Energy Economics Group of TU Wien).…”

Section: Modified Lcoe Calculationmentioning

confidence: 99%

Modelling Bidding Behaviour on German Photovoltaic Auctions

Kácsor

2021

Energies

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In this article renewable energy support allocation through different types of auctions are assessed. The applied methodological framework is auction theory, based on the rules governing the German photovoltaic (PV) Feed-in Premium (FIP) auctions. The work focuses on bidding strategies based on an extended levelised cost of electricity (LCOE) methodology, comparing two different set of rules: uniform price and pay-as-bid. When calculating the optimal bids an iteration is developed to find the Nash-equilibrium optimal bidding strategy. When searching for the bid function, not only strictly monotone functions, but also monotone functions are considered, extending the framework typically applied in auction theory modelling. The results suggest that the PV support allocation in the German auction system would be more cost efficient using the uniform pricing rule, since many participants bid above their true valuation in the pay-as-bid auction Nash-equilibrium. Thus from a cost minimising perspective, the application of uniform pricing rule would be a better policy decision.

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Section: Modified Lcoe Calculationmentioning

confidence: 99%

Modelling Bidding Behaviour on German Photovoltaic Auctions

Kácsor

2021

Energies

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“…Most studies, with the exception of E3M Lab (2017), and Szabó et al (2017) do not model the operation of the electricity market explicitly. E3M Lab (2017) assumes the sequential operation of organized markets at dayahead, intraday and real time timeframes involving detailed simulation by time slice and country.…”

Section: Literature Overviewmentioning

confidence: 99%

“…The study includes scenarios that assume electricity-only markets, as well as scenarios involving the different implementation of capacity mechanisms. In Szabó et al (2017), the operation of electricity markets applies competitive price setting with day ahead markets modelled for 90 representative hours, but no capacity market mechanisms are assumed in the applied EEMM model.…”

Section: Literature Overviewmentioning

confidence: 99%

“…WACC values used in the modelling are country-specific, modified Table 1. Summary of main assumptions in the three modelled scenarios (Szabó et al, 2017). by technology and policy instrument-specific risk factors.…”

Section: Factors Affecting the Cost Of Investment And Generationmentioning

confidence: 99%

“…The region is modelled in the SEERMAP project (South East European Electricity Roadmap), which uses a model-based assessment of various long-term electricity scenarios. 2 (Szabó et al, 2017) The main research questions in this paper are the following:…”

Section: Introductionmentioning

confidence: 99%

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South East Europe electricity roadmap – modelling energy transition in the electricity sectors

et al. 2018

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One of the most important challenges for the South East Europe region will be replacing more than 30% of its presently installed fossil fuel generation capacity by the end of 2030, and more than 95% by 2050 if its age structure is considered. This requires a strong policy framework to incentivise new investments in a region currently lacking investors, but also presents an opportunity to shape the electricity sector over the long term according to the broader energy transition strategy of the EU and the Energy Community. The aim of this paper is to assess what type of long-term pathways exist for electricity sector development in the region if they follow the energy transition process of the EU. In this model-based scenario assessment, long term electricity sector futures are explored using a set of interlinked electricity models evaluating the level of renewable energy investment required in the region to reach a deep decarbonization target, assuming emission reduction above 94% by 2050 compared to 1990 in line with the long term market integration and climate policy goals of the EU. It also explores what are the most important system wide impacts of the high deployment of renewable energy concerning generation adequacy and security of supply. Key policy insights. Energy policies in the South East Europe (SEE) region, both at the national and regional level, should focus on enabling renewable energy integration, as this will be a key component of the future energy mix.. EU and Energy Community policies should be incorporated into national energy planning to ensure that SEE countries embark on the energy transition process at an early stage.. Stranded costs should be carefully considered in decision-making on new fossil-fuel generation and gas network investment in order to avoid lock-in to carbon intensive technologies.. If consistent decarbonization policy prevails, with a significant and persistent CO2 price signal, the role of natural gas remains transitory in the region.. The SEE region offers relatively cheap decarbonization options: the power sector can reduce GHG emissions above 94% by 2050 in the modelled scenarios.

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Sensitivity of buildings’ carbon footprint to electricity decarbonization: a life cycle–based multi-objective optimization approach

Kiss

Szalay

2022

Int J Life Cycle Assess

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Purpose Life cycle assessment (LCA) is a widely used method for the evaluation of buildings’ environmental impacts, but these analyses contain high levels of uncertainty. Decarbonization of electricity production is key to reach climate goals, influencing all sectors including construction The objective of this paper is to study the sensitivity of the environmentally optimum building design solution to a changing electricity mix to assist decision-making. Methods In this paper, multi-objective optimization was applied to minimize the life cycle global warming potential and life cycle costs of a building at the same time, using dynamic energy simulation and LCA. The variables include building envelope parameters such as window ratio, insulation type and thickness in a typical new multi-family apartment building heated with a heat pump. A static, largely fossil-based electricity mix and a dynamic, gradually decarbonizing alternative are considered, as well as two electricity price increase scenarios. New metrics have been introduced to explore the results and describe the Pareto-optimal solutions, for example the improvement potential to contextualize the achievements through the optimization. Results and discussion The results show that, with the current electricity mix, building envelope optimization can improve the design by 18% on average in terms of the life cycle greenhouse gas emissions compared to typical new designs and by 10% with a dynamic mix in Hungary. With today’s static electricity mix, the optimization proved that the minimum energy efficiency requirements in force are close to cost optimality. However, from an environmental point of view, much higher insulation thicknesses have been shown as justified (U-values of less than 0.1 W/m2K). Conclusions Optimization of building design based on LCA is still not widely applied and the effect of a decarbonizing electricity mix on the optimum has not been studied before. The results of the paper demonstrate the importance of this question. Optimal solutions are different depending on the applied mix but an energy-efficient building envelope remains important: today’s cost-optimal building envelope proves to be both cost- and environmentally optimal in the long run.

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South East Europe Electricity Roadmap (SEERMAP)

Cited by 4 publications

References 7 publications

Modelling Bidding Behaviour on German Photovoltaic Auctions

Modelling Bidding Behaviour on German Photovoltaic Auctions

South East Europe electricity roadmap – modelling energy transition in the electricity sectors

Sensitivity of buildings’ carbon footprint to electricity decarbonization: a life cycle–based multi-objective optimization approach

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