July 8, 2020

Competitive Energy Storage and the Duck Curve

Power systems with high penetrations of solar generation need to replace solar output when it falls rapidly in the late afternoon – the duck curve problem. In this paper, Richard Schmalensee considers investment in generation and storage to minimize expected cost in a model of an electric power system with alternating daytime periods, with solar generation, and nighttime periods, without it.

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July 1, 2020

The Short-run and Long-run Effects of Covid-19 on Energy and the Environment

In this commentary, the researchers explore how the short-run effects of Covid-19 in reducing CO2 and local air pollutant emissions can easily be outweighed by the long-run effects of a slowing of the clean energy innovation. A quick stabilization of the economy and expediting investment in clean energy can make all the difference.

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June 29, 2020

Public Transit Use Is Associated With Higher Coronavirus Death Rates

An article in the Wall Street Journal discusses findings from a recent CEEPR Working Paper by Christopher Knittel and Bora Ozaltun on COVID-19 death rates.

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June 25, 2020

Electrifying Transportation: Issues and Opportunities

In this Working Paper, the researchers examine the global implications of electrifying the transportation fleet. Their analysis covers an array of topics including vehicle cost considerations, infrastructure concerns, emissions consequences, and the potential effect of electrification on gasoline tax revenues.

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June 15, 2020

Researchers see race factor in COVID-19 death toll

In this article, Professor Knittel and Bora Ozaltun describe the conclusions from a recent CEEPR Working Paper on Covid-19 death rates.

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June 10, 2020

What Does and Does Not Correlate with COVID-19 Death Rates

In this CEEPR Working Paper, Professor Knittel and Bora Ozaltun correlate county-level COVID-19 death rates between April 4, 2020 to May 27, 2020 with key variables using both linear regression and negative binomial mixed models. They include four sets of variables: socio-economic variables, county-level health variables, modes of commuting, and climate and pollution patterns.

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