scholarly journals Destructiveness of Profits and Outlays Associated with Operation of Offshore Wind Electric Power Plant. Part 1: Identification of a Model and its Components

2018 ◽  
Vol 25 (2) ◽  
pp. 132-139 ◽  
Author(s):  
Andrzej Tomporowski ◽  
Józef Flizikowski ◽  
Weronika Kruszelnicka ◽  
Izabela Piasecka ◽  
Robert Kasner ◽  
...  
Keyword(s):  
Power Plant ◽  
Electric Power ◽  
Power Plants ◽  
Electric Power Industry ◽  
Offshore Wind ◽  
Electric Power Plant ◽  
Domestic Markets ◽  
Electric Power Plants ◽  
Environmental Objects ◽  
Development Prospects

Abstract This paper describes identification and components of destructiveness of energy, economic and ecologic profits and outlays during life cycle of offshore wind electric power plants as well as the most useful models for their design, assembly and use. There are characterized technical conditions (concepts, structures, processes) indispensable for increasing profits and/or decreasing energy, economic and ecological outlays on their operation as well as development prospects for global, European and domestic markets of offshore wind electric power industry. A preliminary analysis was performed for an impact of operators, processed objects, living and artificial environmental objects of a 2MW wind electric power plant on possible increase of profits and decrease of outlays as a result of compensation of destructiveness of the system, environment and man.

The Elephant in the Room–Gas Turbine Power

2010 ◽  
Vol 132 (12) ◽  
pp. 57-57
Author(s):  
Lee S. Langston
Keyword(s):  
Power Plant ◽  
Electric Power ◽  
Gas Turbine ◽  
Power Plants ◽  
Electrical Power ◽  
Electric Power Industry ◽  
Hydrocarbon Fuel ◽  
Combined Cycle ◽  
Electrical Generator ◽  
Gas Turbine Exhaust

This article presents an overview of gas turbine combined cycle (CCGT) power plants. Modern CCGT power plants are producing electric power as high as half a gigawatt with thermal efficiencies approaching the 60% mark. In a CCGT power plant, the gas turbine is the key player, driving an electrical generator. Heat from the hot gas turbine exhaust is recovered in a heat recovery steam generator, to generate steam, which drives a steam turbine to generate more electrical power. Thus, it is a combined power plant burning one unit of fuel to supply two sources of electrical power. Most of these CCGT plants burn natural gas, which has the lowest carbon content of any other hydrocarbon fuel. Their near 60% thermal efficiencies lower fuel costs by almost half compared to other gas-fired power plants. Their installed capital cost is the lowest in the electric power industry. Moreover, environmental permits, necessary for new plant construction, are much easier to obtain for CCGT power plants.

scholarly journals INVESTIGATIONS OF ELECTRIC POWER QUALITY IN AUTONOMOUS LOW POWER PLANT

2017 ◽  
Vol 3 ◽  
pp. 136
Author(s):  
Andrei Khitrov ◽  
Alexander Khitrov ◽  
Evgeny Veselkov ◽  
Vyacheslav Tikhonov
Keyword(s):  
Power Plant ◽  
Low Power ◽  
Electric Power ◽  
Power Quality ◽  
Power Plants ◽  
Low Voltage ◽  
Energy Sources ◽  
Variable Speed ◽  
Electric Power Plants ◽  
Electric Power Quality

Autonomous low power electric power plants working with variable speed energy sources or electric subsystems of cogeneration plants of some type need to increase the low speed or the low voltage of the system. In this paper the investigations and the results of the experiments conducted using different structures are given.

Trace Gas Adsorption Within Gas-Sorbent Suspensions in the Presence of O2 and Water Vapor

2002 ◽  
Author(s):  
Uttam Narasimhan ◽  
Herek L. Clack
Keyword(s):  
Electric Power ◽  
Power Plants ◽  
Gas Adsorption ◽  
Electric Power Industry ◽  
Elemental Mercury ◽  
Trace Gas ◽  
Mercury Emissions ◽  
Electric Power Plants ◽  
Mercury Control ◽  
Control Technologies

New federal regulations will soon limit total mercury emissions from coal-fired electric power plants, which supply half of the electric power and are responsible for one-third of the anthropogenic mercury emissions in the U.S [1]. This presents a significant challenge to the electric power industry because of variability in mercury concentration and speciation (both within a single facility and between different facilities) and a lack of proven continuous emissions monitor (CEM) and mercury control technologies. Although wet flue gas desulfurization (WFGD) has demonstrated effectiveness in removing oxidized forms of mercury (Hg2+, nominally in the form HgCl2), elemental mercury (Hg0) generally passes unaffected through such processes.

scholarly journals Assessment of Power Plant Based on Unsafe Behavior of Workers through Backpropagation Neural Network Model

2022 ◽  
Vol 2022 ◽  
pp. 1-12
Author(s):  
Juan Shi ◽  
Dingyi Chang
Keyword(s):  
Neural Network ◽  
Power Plant ◽  
Electric Power ◽  
Bp Neural Network ◽  
Power Plants ◽  
Indicator System ◽  
Assessment Model ◽  
Electric Power Plants ◽  
Assessment Indicator ◽  
Unsafe Behavior

Safety is an essential topic for electric power plants. In recent years, accidents caused by unsafe behaviors of electric power plant employees are frequent. To promote the sustainable development and safety of electric power plants, studies on the assessment of unsafe behavior are becoming increasingly important and urgent. In this study, accident statistical analysis, literature review, and expert survey are adopted to select more comprehensive and accurate assessment indicators of unsafe behavior of the workers in electric power plants. Data about indicator and unsafe behavior were obtained through a questionnaire survey, and 27 indicators were used as inputs, and the unsafe behavior was taken as the output of a backpropagation (BP) neural network based unsafe behavior assessment model. An assessment indicator system about power plant workers’ unsafe behavior composed of 4 first-level indicators and 27 second-level indicators was established and the weights of the assessment indicators were determined. A three-layer feedforward BP neural network assessment model of “27-13-1” layers was found to be a suitable model. The proposed model can demonstrate the nonlinear complex relationship between the assessment indicator and the unsafe behavior of power plant workers. The model can be helpful to evaluate, predict, and monitor the safety performance of electric power plants.

Statistical Analysis for Shipboard Electrical Power Plant Design

2013 ◽  
Author(s):  
James M. Wolfe ◽  
Morgan M. Fanberg
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Electric Power ◽  
Power Distribution ◽  
Power Plants ◽  
Electrical Power ◽  
Plant Design ◽  
Electric Power Plants ◽  
Power Load ◽  
False Sense

The traditional electric power load analysis (EPLA) uses a very basic routine of assigning demand factors to each connected electric load, then summing these to arrive at an estimated power plant load. This method is overly simplistic, gives a false sense of certainty, and does not accurately reflect vessel operations. This paper will describe an alternative to traditional methods of determining ratings and configurations for electric power plants during vessel concept and preliminary design. This method uses statistical methods to calculate a range of possible power plant demand. Resulting data can be used to evaluate power plant configurations with respect to design risk, vessel operating profiles, and potential limitations. The ability to better evaluate the complete range of required electric power across all operating profiles increases in importance as vessel power plants become more sophisticated with the introduction of variable speed generation, battery/hybrid power systems, DC power distribution, and distributed load centers.

Boffalora-Ticino Hydro-Electric Power Plant

1906 ◽  
Vol 62 (1608supp) ◽  
pp. 25758-25758
Author(s):  
Alfred Gradenwitz
Keyword(s):  
Power Plant ◽  
Electric Power ◽  
Electric Power Plant
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