Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach

Richstein, Jörn C.; Chappin, E.J.L.; Vries, L.J. De

doi:10.1016/j.enpol.2014.03.037

Cited by 56 publications

(36 citation statements)

References 25 publications

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“…While there are other energy related ABMs that explore the impact of policy instruments on energy markets (see, e.g., [42,43]), the focus on RES-E in a high temporal resolution and the typecast of actor groups is unique in the field of energy systems analysis to our best knowledge.…”

Section: Resultsmentioning

confidence: 99%

“…Others have put their focus on certain aspects of the demand side of the energy system, as this aspect is associated with a need for a more "human" modelling and preference depiction: their works focus on demand response [ [35][36][37], adoption of dynamic tariffs [38], price elasticities [39], and smart meter diffusion [40], among others. Another branch focuses on energy trading on the balancing market [41], the merit order effect [42], emission trading and investment decisions [43], and forecasting [44,45]. For a comprehensive review of energy market applications, the reader might want to refer to [25,46] and to [47] for a special focus on newly emerging market structures.…”

Section: Overview Of Agent-based Models In Energy Systemmentioning

confidence: 99%

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Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration

et al. 2017

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The ongoing deployment of renewable energy sources (RES) calls for an enhanced integration of RES into energy markets, accompanied by a new set of regulations. In Germany, for instance, the feed-in tariff legislation for renewables has been successively replaced by first optional and then obligatory marketing of RES on competitive wholesale markets. This paper introduces an agentbased model that allows studying the impact of changing energy policy instruments on the economic performance of RES operators and marketers. The model structure, its components, and linkages are presented in detail; an additional case study demonstrates the capability of our sociotechnical model. We find that changes in the political framework cannot be mapped directly to RES operators as behaviour of intermediary market actors has to be considered as well. Characteristics and strategies of intermediaries are thus an important factor for successful RES marketing and further deployment. It is shown that the model is able to assess the emergence and stability of market niches.

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Section: Resultsmentioning

confidence: 99%

Section: Overview Of Agent-based Models In Energy Systemmentioning

confidence: 99%

Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration

et al. 2017

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“…At present, the ETS test phase is over, and a continuous ETS has been established by European Directive 2004/101/EC. But the extensive number of trades in the market has resulted in a massive decline in the price of trades [81] and, consequently, in a marginal decline in MNCs' profit making.…”

Section: Growth Years: Leader In Sweden Opportunist In Europe (2000-mentioning

confidence: 99%

Do the strategic decisions of multinational energy companies differ in divergent market contexts? An exploratory study

Darmani

Arvidsson

Nuchera

2016

Energy Research & Social Science

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“…With the objective to represent and cover market behaviour, agent-based models like EMACS (Electricity Market Complex Adaptive System) [40] are applied to electricity markets. In this context, such models can for example be applied to assess cross-border effects of CO 2 -policies [41] or the complex interactions of the huge variety of actors caused by policy measures to integrate renewable energies into the market [42]. Although agent-based models can be applied as a classical economic approach capturing the complexity of market actor interactions, it is increasingly utilized to also capture the human dimension which is referred to in the context of interdisciplinary modelling (see section Interdisciplinary modelling).…”

Section: Complexitymentioning

confidence: 99%

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Hilpert¹,

Günther²,

Kaldemeyer³

et al. 2017

Preprint

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These authors contributed equally to this work. AbstractThe process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. However, due to modern realities in the 21st century, existing challenges are gaining in magnitude and are supplemented with new ones. Modellers are confronted with a rising complexity of energy systems and high uncertainties on different levels. In addition, interdisciplinary modelling is necessary for getting insight in mechanisms of an integrated world. At the same time models need to meet scientific standards as public acceptance becomes increasingly important. In this intricate environment model application as well as result communication and interpretation is also getting more difficult.In this paper we present the open energy modelling framework (oemof) as a novel approach for energy system modelling and derive its contribution to existing challenges. Therefore, based on literature review, we outline challenges for energy system modelling as well as existing and emerging approaches. Based on a description of the philosophy and elementary structural elements of oemof, a qualitative analysis of the framework with regard to the challenges is undertaken. Inherent features of oemof such as the open source, open data, non-proprietary and collaborative modelling approach are preconditions to meet modern realities of energy modelling. Additionally, a generic basis with an object-oriented implementation allows to tackle challenges related to complexity of highly integrated future energy systems and sets the foundation to address uncertainty in the future. Experiences from the collaborative modelling approach can enrich interdisciplinary modelling activities.Our analysis concludes that there are remaining challenges that can neither be tackled by a model nor a modelling framework. Among these are problems connected to result communication and interpretation.

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Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach

Cited by 56 publications

References 25 publications

Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration

Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration

Do the strategic decisions of multinational energy companies differ in divergent market contexts? An exploratory study

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

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