Simulating Rooftop Solar Panel Adoption: An Agent-Based Model of Household Decision-Making in Amsterdam

Caroline Christandi Loe, Erkinai Derkenbaeva

Keywords: Agent-Based Model (ABM), Rooftop Solar Panels, HUMAT Framework, Energy Transition, Social Influence, Energy Equity, Cognitive Modeling.

TL;DR: Solar-SIMS is a conceptual ABM simulating how social influence, cognitive dissonance, and policy interventions shape neighborhood-level rooftop solar adoption in Amsterdam until 2030, revealing spatial clusters and socio-economic disparities.

Abstract: This abstract outlines ongoing research using the Solar-SIMS Agent-Based Model (ABM) to explore rooftop solar panel adoption in Amsterdam. The model simulates household decision-making using the HUMAT framework, integrating cognitive dissonance, descriptive and injunctive social norms, and financial feasibility. Solar-SIMS captures complex social and economic dynamics that influence solar adoption, emphasizing the role of peer influence and policy interventions. Running from 2023 to 2030, the model provides insights into adoption patterns at the neighborhood level, revealing disparities across socio-economic groups and evaluating different policy scenarios. Expected results include empirical observations of spatial and temporal adoption patterns, offering policy recommendations for promoting equitable energy transitions.

Submission Number: 7