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Lynn Westfall

Bio: Lynn Westfall is an academic researcher. The author has contributed to research in topics: Energy policy & Energy planning. The author has an hindex of 1, co-authored 1 publications receiving 597 citations.

Papers
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ReportDOI
01 May 2016
TL;DR: The U.S. Energy Information Administration (EIA) as discussed by the authors is a statistical and analytical agency within the United States Department of Energy that produces data, analyses, and forecasts independent of approval by any other officer or employee.
Abstract: This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other federal agencies.

718 citations


Cited by
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Journal ArticleDOI
17 Jun 2020-Joule
TL;DR: In this article, the pathways forward in regard to current-day technology (generation 1) and immediate future approaches (generation 2) that rely on Haber-Bosch process are discussed.

561 citations

Journal ArticleDOI
01 Jan 2021-Energy
TL;DR: In this article, the authors highlight the current state of the application of fuel cells in the automotive industry, as well as the technological advances made in comparison to the early years of the automotive sector.

312 citations

Journal ArticleDOI
TL;DR: In this article, the relationship between carbon dioxide (CO 2 ) emissions, trade openness, real income and energy consumption in the top ten CO 2 emitters among the developing countries, namely China, India, South Korea, Brazil, Mexico, Indonesia, South Africa, Turkey, Thailand and Malaysia, was analyzed.

288 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the current status of algae as a potential feedstock with diverse benefit for the resolution of the global energy demand, and environmental pollution control of GHG.
Abstract: An algal feedstock or biomass may contain a very high oil fraction, and thus could be used for the production of advanced biofuels via different conversion processes. Its major advantage apart from its large oil fraction is the ability to convert almost all the energy from the feedstock into different varieties of useful products. In the research to displace fossil fuels, algae feedstock has emerged as a suitable candidate not only because of its renewable and sustainable features but also for its economic credibility based on the potential to match up with the global demand for transportation fuels. Cultivating this feedstock is very easy and could be developed with little or even no supervision, with the aid of wastewater not suitable for human consumption while absorbing CO2 from the atmosphere. The overall potential for algae applications generally shows that this feedstock is still an untapped resource, and it could be of huge commercial benefits to the global economy at large because algae exist in millions compared to terrestrial plants. Algae applications are evident for everyday consumption via foods products, non-foods products, fuel, and energy. Biofuels derived from algae have no impact on the environment and the food supply unlike biofuels produced from crops. However, any cultivation method employed could control the operating cost and the technicalities involved, which will also influence the production rate and strain. The scope of this paper is to review the current status of algae as a potential feedstock with diverse benefit for the resolution of the global energy demand, and environmental pollution control of GHG.

271 citations

Journal ArticleDOI
TL;DR: This article defines a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users.
Abstract: Cloud computing is today’s most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1p and 1.5p of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.

258 citations