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Alberto J. Lamadrid

Researcher at Lehigh University

Publications -  69
Citations -  948

Alberto J. Lamadrid is an academic researcher from Lehigh University. The author has contributed to research in topics: Wind power & Electricity market. The author has an hindex of 15, co-authored 67 publications receiving 767 citations. Previous affiliations of Alberto J. Lamadrid include Cornell University.

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Shale gas vs. coal: Policy implications from environmental impact comparisons of shale gas, conventional gas, and coal on air, water, and land in the United States

TL;DR: In this paper, the major environmental impacts of shale gas, conventional gas and coal on air, water, and land in the United States were examined, and it was shown that a shift from coal to shale gas would benefit public health, the safety of workers, local environmental protection, water consumption, and the land surface.
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Allocation of Resources Using a Microgrid Formation Approach for Resilient Electric Grids

TL;DR: In this paper, a distribution level microgrid formation model is proposed to deal with the restoration process of future power systems, embedding some of the characteristics these systems are likely to have.
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The Hidden System Costs of Wind Generation in a Deregulated Electricity Market

TL;DR: In this article, the authors show that the economic benefits of reducing the peak system load using storage or controllable demand will be higher with high penetrations of wind generation, and that the benefits are very sensitive to how much of the inherent variability of wind power is mitigated, and how the missing money is determined.
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Ancillary services in systems with high penetrations of renewable energy sources, the case of ramping

TL;DR: A framework for evaluating the aforementioned effects using an engineering and economic optimization model is presented and shows that controllable demand improves (reduces) all of the three criteria by alleviating congestion and mitigating wind variability.
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The Effects of Infrastructure Service Disruptions and Socio-Economic Vulnerability on Hurricane Recovery

TL;DR: In this article, a subset of data from a cross-sectional survey of 989 households in central and south Florida is used to examine the effects of Hurricane Irma on post-disaster recovery eight months after the landfall.