A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain

Hinker, Jonas; Hemkendreis, Christian; Drewing, Emily; März, Steven; Rodríguez, Diego I. Hidalgo; Myrzik, J.M.A.

doi:10.1016/j.energy.2017.06.038

Cited by 17 publications

(13 citation statements)

References 26 publications

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“…They reveal and emphasize different policy interventions, social interpretations, scales, and interactions. Here, we provide an overview of the important advantages and disadvantages of the two approaches from analytical, methodological, and policy perspectives [12,29,30]. Technology innovation systems (TISs), another approach to analyzing technology transitions, are discussed as a comparison with MLP.…”

Section: Advantages and Disadvantagesmentioning

confidence: 99%

“…However, this could be highly difficult, especially when potentially irrational behavior, subjective choices, and complex psychology are involved. Therefore, it is limited in appropriately reflecting real problems because of their complexity [30]. Though for a system where the actors have a behavior of their own, ABM is a natural and easy method of describing the system.…”

Section: Advantages and Disadvantagesmentioning

confidence: 99%

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A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

Zhao

Shen

et al. 2020

Energies

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Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and detailed analysis of low-carbon transitions. As an extensively applied theoretical form, MLP conceptualizes low-carbon transitions as a nonlinear process and allows a system to be analyzed and organized into multiple dimensions (landscape, regime, and niche). However, MLP cannot explain the many details of complex transitions, whereas ABM can estimate the influence of interacting behaviors in a complex system. Therefore, the main advantages of the combined approach for the analysis of low-carbon transition are verified: the MLP can contribute to the overall design of ABM, and ABM can provide a dynamic, continuous, and quantitative description of the MLP. To construct this combination framework, this paper offers a guiding principle that combines the two perspectives under a low-carbon transitional background to create an integrated strategy using three procedures: defining the common concepts, their interaction, and their combination. Through the proposed framework, the goal of this work was to reach a better understanding of social system evolution from the present high-carbon state to a low-carbon state under the pressure of ambitious climate goals, providing specific policy recommendations.

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Section: Advantages and Disadvantagesmentioning

confidence: 99%

Section: Advantages and Disadvantagesmentioning

confidence: 99%

A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

Zhao

Shen

et al. 2020

Energies

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“…In [18], a conceptual model is developed for energy domain. This model is integrated with the ODD methodology for documenting ABM.…”

Section: Comparison With Previous Workmentioning

confidence: 99%

Towards Agent-Based Model Specification of Smart Grid: A Cognitive Agent-Based Computing Approach

Barišić

Poór

Bach

2019

Interdiscip. Descr. Complex Syst.

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A smart grid can be considered as a complex network where each node represents a generation unit or a consumer. Whereas links can be used to represent transmission lines. One way to study complex systems is by using the agent-based modeling (ABM) paradigm. An ABM is a way of representing a complex system of autonomous agents interacting with each other. Previously, a number of studies have been presented in the smart grid domain making use of the ABM paradigm. However, to the best of our knowledge, none of these studies have focused on the specification aspect of ABM. An ABM specification is important not only for understanding but also for replication of the model. In this study, we focus on development as well as specification of ABM for smart grid. We propose an ABM by using a combination of agent-based and complex networkbased approaches. For ABM specification, we use ODD and DREAM specification approaches. We analyze these two specification approaches qualitatively as well as quantitatively. Extensive experiments demonstrate that DREAM is a most useful approach as compared with ODD for modeling as well as for replication of models for smart grid. Cognitive agent-based computing approachNiazi and Hussain in [8] presented a unified cognitive agent-based computing approach for agent-based and complex network-based modeling. This approach involves the process of taking any complex system from the real world and to convert it into a suitable simple model by using specific modeling level such as exploratory or descriptive agent-based approach. The exploratory approach involves the use of agents to explore the complex system, identifies which agent-based model is feasible for the specific problem, then develops the proof concept and also explains what kind of data is required for validation and verification of the model. The Descriptive agent-based model level is the process of presenting ABM specification in the form of pseudo-code, a complex network of the model and social network analysis. Other modeling levels involve complex network and validation/ verification of the model. Descriptive agent-based modelingDescriptive agent-based modeling (DREAM) is a cognitive agent-based computing approach developed by Niazi in [3]. DREAM offers an ABM specification technique which comprises of developing a complex network of the ABM, pseudo-code specification model and social network analysis of the network model. It offers a detailed description of ABM as well as visual based analysis. It provides an easy translation of network model into pseudo-code followed by ABM development. In figure 1, Dream methodology has been shown. Figure 1: DREAM methodology for ABM specification adopted from [3]. We can see that it starts from a basic understanding of the model, then followed by developing a complex network of the model. There are two steps after network formation, one is to present pseudocode specification, this step allows for the actual code translation, second after network formation is by applying social network analysis t...

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“…In addition, the increase of energy prices, caused by the Fukushima accident, dramatically affected the energy poverty of vulnerable households and the elderly. In all these studies, authors remarked that societal aspects must be carefully addressed in order to achieve the goal of a sustainable energy transition [16].…”

Section: Referencementioning

confidence: 99%

Recent Advances in the Analysis of Sustainable Energy Systems

et al. 2018

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EU energy policy is more and more promoting a resilient, efficient and sustainable energy system. Several agreements have been signed in the last few months that set ambitious goals in terms of energy efficiency and emission reductions and to reduce the energy consumption in buildings. These actions are expected to fulfill the goals negotiated at the Paris Agreement in 2015. The successful development of this ambitious energy policy needs to be supported by scientific knowledge: a huge effort must be made in order to develop more efficient energy conversion technologies based both on renewables and fossil fuels. Similarly, researchers are also expected to work on the integration of conventional and novel systems, also taking into account the needs for the management of the novel energy systems in terms of energy storage and devices management. Therefore, a multi-disciplinary approach is required in order to achieve these goals. To ensure that the scientists belonging to the different disciplines are aware of the scientific progress in the other research areas, specific Conferences are periodically organized. One of the most popular conferences in this area is the Sustainable Development of Energy, Water and Environment Systems (SDEWES) Series Conference. The 12th Sustainable Development of Energy, Water and Environment Systems Conference was recently held in Dubrovnik, Croatia. The present Special Issue of Energies, specifically dedicated to the 12th SDEWES Conference, is focused on five main fields: energy policy and energy efficiency in smart energy systems, polygeneration and district heating, advanced combustion techniques and fuels, biomass and building efficiency.

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A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain

Cited by 17 publications

References 26 publications

A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

Towards Agent-Based Model Specification of Smart Grid: A Cognitive Agent-Based Computing Approach

Recent Advances in the Analysis of Sustainable Energy Systems

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