Energy Transition

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

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.

The MIT Industrial Liaison Program (ILP) defines sustainability as “the capacity to endure – to consume, grow, and thrive—but not to be consumed and perish in the process.” On March 9, 2021, The ILP held a webinar on sustainability research at MIT, an Institute-wide endeavor that spans materials science, energy, recycling, economic policy, urban planning and other fields.

Abstract: The Turkish power sector achieved a rapid growth after the 1990s in line with economic growth and even beyond. However, this development was not supported by domestic resources and therefore culminated in a high dependency on imported fossil fuels. Over and above, the governments were slow of the mark in introducing policies for increasing the share of renewable energy. Nevertheless, even late actions of the government, as well as significant decreases in the cost of wind and especially solar technologies, have recently brought the Turkish power sector in a promising state. In this study, a large-scale generation expansion power system model (TR-Power) with a high temporal resolution (hours) is developed for the Turkish power generation sector. Several prospective scenarios (high penetration of renewable resources, limiting constraints on GHG emissions, and changes in subsidy schemes on renewable and local resources) were analyzed for assessing their environmental and economic impacts. The results indicate that a transition to a low-carbon power grid with around half of the electricity demand satisfied by renewable resources over a 25-year period would be possible with annual investments of 4.25 to 7.10 Billion 2019 US$. Moreover, TR-Power indicates that the shadow price of CO2 emissions in the power sector will be around 13.8 and 34.0 $/per tCO2 by 2042 under 30% and 40% emission reduction targets relative to the reference scenario.

Abstract: To meet the long-term goals of the Paris Agreement, the global energy system needs to transition to a radically different fuel mix than currently in use. We analyze temperature implications of three scenarios of energy transformation developed by Shell International. The Islands and Waves scenarios explore the world development without any specific focus on a pre-determined temperature target. The Islands scenario envisions the world focused on nationalism and own security in a context of steady technological development, while the Waves scenario examines the world that focuses on development first and foremost and only changes late to address climate. The Sky 1.5 scenario explores the challenge of moving to a global economy with net-zero greenhouse gas (GHG) emissions in the second half of the century (specifically by the year of 2067). Using the MIT Integrated Global System Modeling (IGSM) framework, we simulate 400-member ensembles, reflecting uncertainty in the Earth system response, of global temperature change associated with each scenario by 2100 (mean of 2096-2100) relative to pre-industrial (mean of 1850-1900) levels. We find that for the median climate parameters, the global surface temperature increase is 2.52°C for the Islands scenario, 2.28°C for the Waves scenario, and 1.47°C for the Sky 1.5 scenario. The likely (33%-66%) range in 2100 is 2.40-2.64°C for the Islands scenario, 2.19-2.43°C for the Waves scenario, and 1.40-1.59°C for the Sky 1.5 scenario.

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