Evaluating Cost, Performance and Water Conserving Capability of Hybrid Cooling PDF Download
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Author: John S. Maulbetsch
Publisher:
ISBN:
Category : Power-plants
Languages : en
Pages : 112
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Author: John S. Maulbetsch
Publisher:
ISBN:
Category : Power-plants
Languages : en
Pages : 112
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Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 108
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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The results are presented of a design and cost study for wet/dry tower systems used in conjunction with 1000 MWe nuclear power plants to reject waste heat while conserving water. Design and cost information for wet/dry tower systems are presented, and these cooling system alternatives are compared with wet and dry tower systems to determine whether the wet/dry tower concept is an economically viable alternative. The wet/dry cooling tower concept investigated is one which combines physically separated wet towers and dry towers into an operational unit. In designing the wet/dry tower, a dry cooling tower is sized to carry the plant heat load at low ambient temperatures, and a separate wet tower is added to augment the heat rejection of the dry tower at higher ambient temperatures. These wet/dry towers are designed to operate with a conventional low back pressure turbine commercially available today. The component wet and dry towers are state-of-the-art designs. From this study it was concluded that: wet/dry cooling systems can be designed to provide a significant economic advantage over dry cooling yet closely matching the dry tower's ability to conserve water, a wet/dry system which saves as much as 99 percent of the make-up water required by a wet tower can maintain that economic advantage, and therefore, for power plant sites where water is in short supply, wet/dry cooling is the economic choice over dry cooling.
Author: Vyacheslav Lyubchich
Publisher: CRC Press
ISBN: 1351190814
Category : Mathematics
Languages : en
Pages : 322
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Book Description
Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The readers will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.
Author: Center for Building Technology
Publisher:
ISBN:
Category : Building
Languages : en
Pages : 104
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Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 358
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Author: United States. Environmental Protection Agency
Publisher:
ISBN:
Category :
Languages : en
Pages : 1584
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Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 974
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Author: National Institute of Standards and Technology (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 492
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Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 552
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