scholarly journals Thermal effects on heterotrophic processes in a coastal ecosystem adjacent to a nuclear power plant

2006 ◽  
Vol 309 ◽  
pp. 55-65 ◽  
Author(s):  
FK Shiah ◽  
TH Wu ◽  
KY Li ◽  
SJ Kao ◽  
YF Tseng ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Thermal Effects ◽  
Nuclear Power ◽  
Coastal Ecosystem

scholarly journals HYDROTHERMAL MONITORING: SURRY NUCLEAR POWER PLANT

1974 ◽  
Vol 1 (14) ◽  
pp. 143
Author(s):  
C.S. Fang ◽  
G. Parker ◽  
W. Harrison
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Thermal Effects ◽  
Nuclear Power ◽  
Monitoring Program ◽  
First Year ◽  
James River ◽  
Background Data ◽  
Monitoring Effort ◽  
One Year

A hydrothermal monitoring program has been designed and deployed to gather data on the temperature distribution in the tidal James River near the outfall of the Surry Nuclear Power Plant at Surry, Virginia, U.S.A. Monitoring to date has included two years of background data (1971 and 1972) taken prior to plant operation, and one year (19 73) of data with the plant in operation. The results of the first year post operational monitoring effort has been compared with the pre-operation background data and with the thermal effects that were predicted from studies by Carpenter and Pritchard on the James River Hydraulic Model at Vicksburg, Mississippi.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

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