Regional Analysis

This research collaboration between NREL and the MIT Joint Program will establish and contribute market and policy analysis with a strategic intent to transform global energy systems to a sustainable energy. NREL developed and currently maintains the Regional Energy Deployment System (ReEDS) Model; the MIT Joint Program developed and currently maintains the U.S. Regional Energy Policy (USREP) Model. The institutions jointly developed a linked version of the two models.

This cooperative project, led by Purdue University with participation from MIT and the Marine Biological Laboratory, is investigating how patterns of land-use in Northern Eurasia may change in the future due to: 1) Economic pressures for providing food, fiber and fuel to a growing global population; 2) Opportunities for expanding managed ecosystems into areas that experience a more favorable climate in the future; and 3) Abandonment of managed ecosystems in other areas that experience a less favorable climate.

This study aims to identify regions where the resiliency to withstand extreme weather and climate events is at risk, and therefore degrade the regions' ability to resist any changes. This will aid stakeholders and decision-makers as they prepare for and adapt to environmental change. By employing a variety of models, including MIT's Integrated System Model (IGSM), we will evaluate how a set of environmental stresses affects specific regions. This work will also develop a heuristic model to serve as more efficient and powerful predictive tool to help guide adaptation strategies.

The goal of this project is to demonstrate that the operation of electricity generation and water supply infrastructures can be made more resilient and sustainable by integrating assessments of air quality and water availability into electricity generation dispatching decisions. The project will:

This project is developing a model for analyzing potential U.S greenhouse gas policies proposed within the U.S., with a capability to assess impacts on regions, sectors and industries of various combination of mitigation policies and adaptation measures. The effort builds on the existing capability of the MIT Economic Projection and Policy Analysis (EPPA) model, which has been developed by the Program to analyze the global economic consequences of efforts to mitigate greenhouse gases.

The boreal forest contains large reserves of carbon. Across this region, wildfires influence the temporal and spatial dynamics of carbon storage. In this study, we estimate fire emissions and changes in carbon storage for boreal North America over the 21st century. We use a gridded data set developed with a multivariate adaptive regression spline approach to determine how area burned varies each year with changing climatic and fuel moisture conditions.We apply the process-based Terrestrial Ecosystem Model to evaluate the role of future fire on the carbon dynamics of boreal North America in the context of changing atmospheric carbon dioxide (CO2) concentration and climate in the A2 and B2 emissions scenarios of the CGCM2 global climate model. Relative to the last decade of the 20th century, decadal total carbon emissions from fire increase by 2.5–4.4 times by 2091–2100, depending on the climate scenario and assumptions about CO2 fertilization. Larger fire emissions occur with warmer climates or if CO2 fertilization is assumed to occur. Despite the increases in fire emissions, our simulations indicate that boreal North America will be a carbon sink over the 21st century if CO2 fertilization is assumed to occur in the future. In contrast, simulations excluding CO2 fertilization over the same period indicate that the region will change to a carbon source to the atmosphere, with the source being 2.1 times greater under the warmer A2 scenario than the B2 scenario. To improve estimates of wildfire on terrestrial carbon dynamics in boreal North America, future studies should incorporate the role of dynamic vegetation to represent more accurately post-fire successional processes, incorporate fire severity parameters that change in time and space, account for human influences through increased fire suppression, and integrate the role of other disturbances and their interactions with future fire regime. © Wiley Blackwell

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