Integrative Review-Based Conceptual Modeling: An Agent-Based Modeling Synthesis of Dynamic Energy Tariff Research and Models

Simon Johanning, Paul Bruggemans, Oreane Edelenbosch and Thomas Bruckner ()
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Simon Johanning: Institute for Infrastructure & Resource Management, Leipzig University, 04109 Leipzig, Germany
Paul Bruggemans: Copernicus Institute of Sustainable Development, Utrecht University, 3584 CS Utrecht, The Netherlands
Oreane Edelenbosch: Copernicus Institute of Sustainable Development, Utrecht University, 3584 CS Utrecht, The Netherlands
Thomas Bruckner: Institute for Infrastructure & Resource Management, Leipzig University, 04109 Leipzig, Germany

Energies, 2024, vol. 17, issue 22, 1-36

Abstract: Adoption of dynamic energy tariffs by households is crucial for the transition to carbon-neutral energy systems. Influencing the adoption patterns of these tariffs necessitates an examination of the drivers, decision components, and contextual factors influencing household decisions. Few computational models address this comprehensively, often omitting non-financial decision variables. Moreover, methodologically robust integrative reviews on this topic are scarce. To address this gap, this paper develops a concept-centered integrative review methodology aimed at deriving computer models for socio-techno-economic simulations of household adoption of sustainable technologies. The methodology encompasses five sequential phases: Setup, Literature Search, Analysis, Synthesis and Conceptual Model, and Discussion. To illustrate the methodology, it is applied to the case of household adoption of dynamic energy tariffs, resulting in an abstract conceptual model adaptable to local contexts. The review reveals a lack of consensus on modeled tariffs but highlights the significance of tariff complexity, relative advantage, household heterogeneity, and various agent properties. It also identifies potential improvements in model fundamentals, particularly spatial modeling. The developed process model focuses on the stages ‘knowledge’, ‘decision’, and ‘reevaluation’. The article contributes by presenting a comprehensive review scheme and delivering a concept-centered integrative review along with an explicit conceptual model derived from it.

Keywords: agent-based modeling; computational social science; dynamic electricity tariffs; innovation diffusion; integrative review; conceptual modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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