Data and Code for: Emissions, Transmission, and the Environmental Value of Renewable Energy
Principal Investigator(s): View help for Principal Investigator(s) Harrison Fell, North Carolina State University; Daniel Kaffine, University of Colorado Boulder; Kevin Novan, University of California-Davis
Version: View help for Version V1
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Project Citation:
Fell, Harrison, Kaffine, Daniel, and Novan, Kevin. Data and Code for: Emissions, Transmission, and the Environmental Value of Renewable Energy. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-04-07. https://doi.org/10.3886/E119513V1
Project Description
Summary:
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We examine how transmission congestion alters the environmental benefits provided by renewable generation. Using hourly data from the Texas and Mid-Continent electricity markets, we find that relaxing transmission constraints between the wind-rich areas and the demand centers of the respective markets conservatively increases the non-market value of wind by 30% for Texas and 17% for Mid-Continent markets. Much of this increase in the non-market value arises from a redistribution in where air quality improvements occur - when transmission is not constrained, wind offsets much more pollution from fossil fuel units located near highly populated demand centers.
Scope of Project
Subject Terms:
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transmission;
renewable energy;
emissions;
environmental value
JEL Classification:
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D22 Firm Behavior: Empirical Analysis
L94 Electric Utilities
Q42 Alternative Energy Sources
Q48 Energy: Government Policy
Q53 Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
D22 Firm Behavior: Empirical Analysis
L94 Electric Utilities
Q42 Alternative Energy Sources
Q48 Energy: Government Policy
Q53 Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
Geographic Coverage:
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ERCOT (Texas) and MISO (Upper Midwest) electricity independent system operator territories of the United States
Time Period(s):
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1/1/2011 – 12/31/2015
Data Type(s):
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administrative records data
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