Authors:
Masaaki Suzuki
;
Mari Ito
and
Ryuta Takashima
Affiliation:
Tokyo University of Science, Japan
Keyword(s):
Renewable Energy Policy, FIT, RPS, Social Welfare, Equilibrium Analysis, Multi-agent Simulation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Applications
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Energy and Environment
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Pattern Recognition
;
Simulation
;
Software Engineering
Abstract:
Governments have introduced various policies for promoting renewable energy technologies. In particular,
feed-in tariff (FIT) and renewable portfolio standard (RPS) have been introduced in various countries. In
this work, multi-agent simulations of electricity markets with FIT/RPS have been conducted for integrative
analysis and rational design of renewable energy policies. We analyze the effects of the FIT price and RPS
level on social welfare. By comparing the results obtained from the simulation and the equilibrium analysis,
we have examined the policies from both bottom-up and top-down viewpoints comprehensively.