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Abstract: Infrastructure systems are vulnerable to weather risks. With climate change, extreme events are expected to increase.To evaluate these changes in the Northeastern United States, state-of-the-art high-resolution, convection-permitting regional climate modeling simulations are carried out to downscale projections of the Community Earth System Model (CESM) to 3 km horizontal resolution under a high impact emissions scenario for a near future time period (2025-2041). Changes in mean climate and extreme events are assessed relative to the present-day climate (2006-2020) for three key weather elements affecting electricity grid infrastructure and operations: temperatures, wind speeds and ice accumulation on infrastructure surfaces. An assessment of exceedance threshold calculations based on the safety thresholds set by National Electric Safety Code (NESC) and International Organization for Standardization (ISO) is also provided.

Data science to Inform environmental policy during the COVID-19 pandemic

 

How much evidence do you need? Data Science to Inform Environmental Policy During the COVID-19 Pandemic

Speaker: Francesca Dominici, PhD, Director of the Harvard Data Science Initiative

Hosted by the Center for Global Change Science and Dept. of Earth, Atmospheric and Planetary Sciences, MIT

Wednesday, April 21, 4:00 - 5:00pm ET

Canadian hydropower resources offer a potentially attractive option for meeting decarbonization targets in the US Northeast region, where there are ambitious climate goals and nearby hydro resources in Quebec. Existing transmission capacity is, however, a limiting factor in expanding hydropower imports to the region.

To examine the value of expanding transmission capacity from Quebec to the Northeast,  we employ an integrated top-down bottom-up modeling framework (USREP-EleMod). This research was part of an Energy Modeling Forum effort, EMF34, with a goal of better characterizing linkages in energy markets across North America. The scenarios we examine exogenously expand transmission capacity by 10, 30, and 50% above existing capacity into the US Northeast (New York/New England), finding the value to the economy of these expansions ranging from $.38-$.49 per kWh imported into New York, and $.30-$.33 per kWh imported into New England by 2050. 

The scenarios include economy-wide emissions goals these states have set for themselves. The carbon limits we impose raise fuel prices more than electricity prices, and as a result, we find greater electrification in the US Northeast region from 2030 onward--a result that one would not see using just an electricity sector model, This demonstrates a main hypothesis of EMF34, that models that looked at more integration across energy markets would give deeper insight than more narrowly focused models.

HIghlights:

    Canadian hydropower imports benefit the US Northeast region in transition to a low-carbon economy
    Transmission capacity expansion is evaluated based on a top-down bottom-up model
    The value to the economy of the expansion is significantly larger than the cost of the electricity itself

Authors' Summary: Manufactured CFC-11 is depleting the Antarctic ozone layer. CFC production has been strictly controlled by the Montreal Protocol, but emission estimates are very sensitive to choices of lifetimes, which are often assumed as constant over time. We employ a hierarchy of models to study the effect of the ocean on the time-dependent uptake and release of atmospheric CFC-11. The ocean is a sink for CFC-11 and significantly affects its total lifetime and hence the emission inferred from concentration data of past decades. This has not been explicitly included in international ozone assessments. We show that, as anthropogenic production ceases, ocean fluxes become more important, suggesting a need for further studies with high-resolution global models linking atmospheric chemistry and ocean processes.

Abstract:

Coal companies have provided a key source of financial support to Greene County not only through employment, but also by contributing to the real estate and mineral value taxes that fund a significant portion of county, township, and school district activities. Due in part to company closures, tax revenue contributed by coal companies did not keep up with inflation, and in many cases decreased, between the years 2010 and 2019. Green County’s heavy reliance on coal companies for tax revenue poses a significant risk to its present and future economic health, with the potential to affect all residents and town activities, and may particularly impact vulnerable residents. While the coal industry is on the decline, this region has seen an increase in methane gas (also called natural gas) production as part of the shale gas boom. However, because of the structure of the tax base, we show that increases in gas production, and taxes paid by gas companies, are unlikely to make up for lost coal tax revenue. Taxes paid by large retail firms, property developers, and medical institutions also do not make up for lost tax revenue. The authors argue that as the country moves to a low-carbon economy to slow climate change, there is a need to look at the local fiscal impacts to ensure a just transition for at-risk communities.

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