Cap-and-trade vs. carbon taxes: A quantitative comparison from a generation expansion planning perspective

Authors:
Yanyi He;Lizhi Wang;Jianhui Wang
Affiliations:
Industrial and Manufacturing Systems Engineering, Iowa State University, United States;Industrial and Manufacturing Systems Engineering, Iowa State University, United States;Decision and Information Sciences Division, Argonne National Laboratory, United States
Venue:
Computers and Industrial Engineering
Year:
2012

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Abstract

We compare the effectiveness and efficiency of cap-and-trade and carbon tax policies in a generation expansion planning framework. The effectiveness refers to a policy's capability to control the amount of carbon emissions, and the efficiency is measured with respect to seven criteria: average emissions price, actual emissions, renewable energy portfolio, total generation, total profit of Gencos and grid owner, economic welfare, and emissions adjusted economic welfare. Cap-and-trade and four variations of carbon tax policies are integrated in a game-theoretic based generation expansion planning model to assess their impacts on new investment in renewable energy generation capacity. A case study is conducted on a 30-bus test system, and numerical results provide insights on the advantages and disadvantages of these policies.