Global initiatives on climate protection and national sustainability policies are accelerating the replacement of fossil fuels with renewable energy sources. Many electricity suppliers engaged in efforts to monetize this transition 'green' services products, such as Green Electricity Tariffs. These promise customers that their supply includes a specific share green electricity, yet since often fail deliver those promises, many have lost trust suppliers. Further information asymmetries may...

Abstract Understanding how innovations are accepted in a dynamic and complex market environment is crucial factor for competitive advantage. To understand the relevant factors this diffusion to predict success, empirically grounded agent-based models have become increasingly popular recent years. Despite popularity of these innovation models, no common framework that integrates their diversity exists. This article presents flexible, modular extensible description implementation allows depict...

This paper explores the role of social interactions in residential photovoltaic (PV) adoption. Our survey data from Germany indicate that PV decision makers are influenced primarily by stakeholders to whom they ascribe beneficial attributes. The further show key attributes vary along making process: integrity and likeability demonstrate strongest association with influence strength at awareness stage, while availability trustworthiness have planning stage. perception competence stakeholder...

The reliable integration of decentralized energy technologies and the associated system transformations represent a challenging task. Taking into account existing cross-sectoral demand supply structures, diverse communities require specific solutions. With an appropriate business model, municipal utilities might be capable to transform themselves in successful way. For better decision-making, they need investigate under what conditions certain cases sustainable part future their portfolio....

How are policies affecting the social behaviour of actors and thus dynamics corresponding socio-technical systems? This question is central relevance to understand what might be effective for sustainable transitions transformation where changes immanent. Exploratory modelling approaches such as agent-based (ABM) suitable established analyse how individual, especially heterogeneous emerges affect systems. In contrast this micro-level perspective understanding affects system behaviour, System...

Policy assessment is often limited to the evaluation of physical effectiveness or economic efficiency. To analyse how policies intervene in complex reality, qualitative and quantitative system modelling approaches from field Systems Thinking (STM), System Dynamics (SDM) Agent-based (ABM) can provide valuable insights. This article aims illuminate opportunities limitations these three exploratory for policy assessment. It addresses stakeholders advices decision makers designing gives an...

The uptake of residential photovoltaic systems is essential for energy system transformation towards carbon neutrality and decentralization. However, despite numerous campaigns to incentivize their uptake, adoption by homeowners lacking behind. While countless drivers barriers have been identified, the decision process not fully understood. To address this gap, we developed an agent-based rooftop model called PVact. Our analyzes interactions potential household adopters based on utility...

As part of an increased diffusion decentralized renewable energy technologies, additional need for flexibility arises. Studies indicate that operating battery storage systems multiple uses as community electricity system (CES) promises superior benefits. This seems decisive, since cheaper options such demand response (DR) are more applicable and might further reduce the market size facilities. research paper aims to analyze competition effects CES with simultaneous application DR. The...

Adoption of dynamic energy tariffs by households is crucial for the transition to carbon-neutral systems. Influencing adoption patterns these necessitates an examination drivers, decision components, and contextual factors influencing household decisions. Few computational models address this comprehensively, often omitting non-financial variables. Moreover, methodologically robust integrative reviews on topic are scarce. To gap, paper develops a concept-centered review methodology aimed at...

Abstract Understanding how innovations are accepted in a dynamic and complex market environment is crucial factor for competitive advantage. To understand the relevant factors this diffusion to predict success, empirically grounded agent-based models have become increasingly popular recent years. Despite popularity of these innovation models, no common framework that integrates their diversity exists. This article presents flexible, modular extensible description implementation allows depict...

Agent-based simulation models are an important tool to study the effectiveness of policy interventions on uptake residential photovoltaic systems by households, a cornerstone sustainable energy system transition. In order for these be trustworthy, they require rigorous validation.However, canonical approach validating emulation through calibration with parameters that minimize difference model results and reference data fails when is subject many stochastic influences. The diffusion PVact...

Blockchain-based peer-to-peer (P2P) electricity markets received considerable attention in the past years, leading to a rich variety of proposed market designs. Yet, little comparability and consensus exists on optimal design, also due lack common evaluation benchmarking infrastructure.This article describes LabChain, an interactive prototype as research infrastructure for conducting experiments (simulated) P2P involving real human actors. The software stack comprises: (i) (open) data layer...

Abstract Insights into the diffusion process can help decision makers to detect weak points of potential business models. Yet, due multitude factors consider, modeling innovations is a very challenging task. In literature, various models and methodologies address this problem be found. Among these, empirically grounded agent-based turns out one most promising approaches. However, current culture dominated by papers that fail document critical methodological details. Thus, existing for...