Infrastructure & Investment

Wind power is assessed over Europe, with special attention given to the quantification of intermittency.  Using the methodology developed in Gunturu and Schlosser (2011), the MERRA boundary flux data was used to compute wind power density profiles over Europe. Besides of the analysis of capacity factor, other metrics are presented to further quantify the availability and reliability of this resource and the extent to which wind-power intermittency is coincident across Europe. The analyses find that, consistent with previous studies, the majority of European wind power resources are located offshore. The largest  wind power resources at onshore locations are found to be over Iceland, the United Kingdom, and along the northern coastlines of continental Europe. Other isolated pockets of higher wind power are found over Spain and along the Mediterranean coast of France. Overall, the availability of onshore wind power is low and is highly intermittent, while offshore locations show a high degree of persistence. However, for the strongest onshore locations of wind power—primarily over northern coastlines as well as the United Kingdom and Iceland—the evidence indicates that intermittency can be reduced by aggregation and interconnection of wind-power installations. 

The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure –much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A1B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities’ changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation.

The wind resource in Australia has been reconstructed and characterized in terms of its geographical distribution, abundance, variability, availability, persistence and intermittency. The impact of raising the wind turbine hub height on these metrics is analyzed. The Modern Era Retrospective Analysis for Research and Applications (MERRA) boundary layer flux data was used to construct wind power density (WPD) and wind speed at 50 m, 80 m, 100 m, and 150 m, which represent current and potential wind turbine hub heights. The wind speeds at 80 m were quantitatively and spatially similar to a map of wind sp

Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era Retrospective-Analysis for Research and Applications (MERRA) boundary layer flux data has been used to construct wind profile at 50 m, 80 m, 100 m, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar to those in the US wind atlas developed by the National Renewable Energy Laboratory (NREL), but quantitatively a class less in some regions, but are within the limits of uncertainty. The wind speeds at 80 m were quantitatively and qualitatively close to the NREL wind map. The possible reasons for overestimation by NREL have been discussed. For long tailed distributions like those of the WPD, the mean is an overestimation and median is suggested for summary representation of the wind resource.

The impact of raising the wind turbine hub height on metrics of abundance, persistence, variability and intermittency is analyzed. There is a general increase in availability and abundance of wind resource but there is an increase in intermittency in terms of level crossing rate in low resource regions.

© 2012 the Authors

Malawi confronts a growth and development imperative that it must meet in a context characterised by rising temperatures and deep uncertainty about trends in precipitation. This article evaluates the potential implications of climate change for overall growth and development prospects in Malawi. We combine climate, biophysical and economic models to develop a structural analysis focused on three primary impact channels: agriculture, road infrastructure and hydropower generation. We account explicitly for the uncertainty in climate forecasts by exploiting the best available information on the likely distribution of climate outcomes. We find that climate change is unlikely to substantially slow overall economic growth over the next couple of decades. However, assuming that global emissions remain effectively unconstrained, climate change implications become more pronounced over time. Reduced agricultural yields and increased damage to road infrastructure due to increased frequency and intensity of extreme events are the principal impact channels. Owing to the potential for positive impacts in the near term, the net present value of climate impacts from 2007 to 2050 (using a 5% discount rate) can be positive or negative with an average loss of about USD 610 million. The main implication of our findings is that Malawian policy makers should look to exploit the coming decade or two as these represent a window of opportunity to develop smart and forward looking adaptation policies. As many of these policies take time to develop, implement, and then execute, there is little cause for complacency.

© 2014 the authors.

This project will evaluate the economic and technical potential of renewable-based power systems in Africa under a trading regime. Linking hydropower generated in river basins across the continent has the potential to smooth annual and seasonal fluctuations in hydropower output and enable larger penetrations of intermittent renewable energy technologies.

The environmental impact of pavements and the economic challenge of building and maintaining them have led to a growing need to better quantify performance and cost over pavements’ entire life cycle. To meet that need, the MIT Concrete Sustainability Hub (CSHub) is developing tools and data for decision-makers to evaluate pavement designs and make choices that are both cost-effective and environmentally responsible. The project aims to reduce the environmental impact of concrete, both in its manufacturing and use.

This project is applying the MIT Integrated Global Systems Model framework to assess the potential impacts of greenhouse gases and climate adaptation strategies. We will examine multiple environmental effects on human health, food supply and price changes, infrastructure, energy demand, the quantity and quality of water resources, and sea level rise and coastal damage.

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:

Dam assessment, by its very nature, is a complex undertaking. Many of the benefits and costs associated with dam development have quite different time streams. These benefits and costs are faced by different sectors and there are inter-relationships between sectors. The effects of dams are distributed across different spatial scales, from local to basin, to regional to national, and in some cases, to trans-national. To add to the complexity, while some of the impacts of the dam projects are ‘direct’, the others are ‘indirect’ with the definition of what constitutes ‘direct’ versus ‘indirect’ impacts also varying.

The aim of the present study has been to evaluate some of the above interactions, in particular the ‘direct’ and ‘indirect’ economic impacts of dams. The study ex-post evaluates the magnitude of multipliers, a measure of the total benefits (direct plus indirect) of the project in relation to its direct benefits, and assesses the distributional and poverty reduction impacts of dam projects. The four cases studied in the present book include three large projects—Bhakra Dam System (India), Aswan High Dam (Egypt) and Sobradinho Dam (and the set of cascading reservoirs) (Brazil)— and one small check dam—Bunga (India).

The present study should be seen as one of the numerous other steps that need to be taken to reach the goal of evaluating the full development impact of the dam projects. The aim here has been to highlight the relevance of one of the components of a full evaluation of dam projects that is often neglected, i.e., their indirect and induced economic impacts.

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