Author Archive: Diana Rotondo

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By July 26, 2017 Read More →

Theses

2017:

Fisher, M. J., Integrating Demand-Side Resources into the Electric Grid: Economic and Environmental Considerations. Carnegie Mellon University. 

Glasgo, B., Assessing the feasibility of residential DC buildings. Carnegie Mellon University. 

Lam, L., Wind innovation in China and in the United States. Carnegie Mellon University. 

Welle, P., Remotely Sensed …

By July 26, 2017 Read More →

Book Chapters

Donahue, N. M.; Posner, L. N.; Westervelt, D. M.; Li, Z.;  Shrivastava, M.; Presto, A. A.; Sullivan, R. C.; Adams, P. J.; Pandis, S. N.; and Robinson, A. L., Where did this particle come from? Sources of particle number and mass for human exposure estimates. Issues in Environmental Science and

By July 21, 2017 Read More →

Journals – 2017

Abrahams, L. S.; Samaras, C.; Griffin, W. M.; Matthews, H. S., Effect of crude oil carbon accounting decisions on meeting global climate budgets. Environment Systems and Decisions 2017, 1-15. [Full Paper, doi: http://dx.doi.org/10.1007/s10669-017-9638-5]

Craig, M. T.; Jaramillo, P.; Zhai, H.; Klima, K., The Economic Merits of Flexible …

By June 5, 2017 Read More →

Statement By CEDM Directors

Through its many educational efforts and the work of its research centers, Carnegie Mellon University is a world leader on issues of energy, climate and air pollution.

As scientists who have dedicated ourselves to research on a wide range of issues related to energy and climate, we write to express …

By May 9, 2017 Read More →

8 May – “Incentivizing electric vehicles in the United States”

Date: 8 May 2017
Time: 12:00pm
Location: Baker 129 Conference Room
Speaker: Alan Jenn
Topic: Incentivizing electric vehicles in the United States

Abstract: Transportation accounts for 28% of total energy use and 26% of emissions in the US, as a result there has been a movement towards adopting battery electric …

By April 18, 2017 Read More →

Ines Azevedo was featured in WESA interview on electricity and carbon emissions in Pennsylvania

Ines Azevedo was featured in WESA interview on electricity and carbon emissions in Pennsylvania. Read and listen at http://wesa.fm/post/pa-electricity-generation-moving-away-coal-would-it-move-back-under-trump#stream/0

By April 17, 2017 Read More →

17 April – “Energy and Environment Science Policy Analysis at the IDA Science and Technology Institute”

Date: 17 April 2017
Time: 12:00pm
Location: Baker 129 Conference Room
Speaker: Science and Technology Policy Institute
Topic: Energy and Environment Science Policy Analysis at the IDA Science and Technology Institute

Abstract: The IDA Science and Technology Institute (STPI) is a Federally Funded Research and Development Center that conducts objective …

By April 12, 2017 Read More →

Azevedo and Samaras Quoted on US Drop in CO2 Emissions

Ines Azevedo and Costa Samaras were featured and quoted in two different articles on their recent findings on the U.S. Drop in CO2 Emissions. Read more at:

ClimateCentral.com

Power Sector Carbon Index shows big drop in CO2 emissions, but more needs to be done

NextPittsburgh

Electricity’s Carbon

By March 10, 2017 Read More →

6 April – “Climate, Air Quality and Health Implications of China’s Energy Future” – Denise Mauzerall

Date: 6 April 2017
Time: 12:00pm
Location: Marquis Room, Scott Hall
Speaker: Denise Mauzerall
Topic: Climate, Air Quality and Health Implications of China’s Energy Future

Abstract:

As a result of rapid industrialization, China now frequently suffers from extremely high levels of health damaging fine particulate air pollution and agriculture damaging …

By March 10, 2017 Read More →

20 March – “Cross-validation of structured expert judgment: data from 2006-2015” – Roger Cooke

Date: 20 March 2017
Time: 12:00pm
Location: Baker 129 Conference Room
Speaker: Roger Cooke
Topic: Cross-validation of structured expert judgment: data from 2006-2015

Abstract: 33 expert judgment studies using calibration variables from the experts’ field were contracted in the period 2006-2015, whereby experts quantify their uncertainty on variables from their …