A User's Guide for the Functional Economic Analysis Model (Version 2.2A)

1992 ◽  
Author(s):  
Thomas P. Frazier ◽  
John J. Cloos ◽  
Matthew S. Goldberg ◽  
Alec W. Salerno ◽  
Kathryn L. Wilson
Keyword(s):  
Economic Analysis ◽  
Analysis Model ◽  
Model Version

The Energy-Saving Diagnosis of PWR Nuclear Power Station Based on the Thermo-Economic Analysis Model

2010 ◽  
Author(s):  
Juan Chen ◽  
Tao Zhou ◽  
Ke Ran
Keyword(s):  
Graph Theory ◽  
Economic Analysis ◽  
Energy Saving ◽  
Nuclear Power Station ◽  
Nuclear Power ◽  
Exergy Analysis ◽  
Performance Estimation ◽  
Structure Theory ◽  
Analysis Model ◽  
Power Station

Exergy analysis model of PWR nuclear power station is developed in which signal flowing graph theory is introduced to set up the relation equations between input exergy flow and output exergy flow. Then, combining with resource distribution between different components, thermo-economic analysis model is obtained by setting up unit thermo-economic cost equations of different components with productive structure graph. Taking Daya Bay as an example, exergy analysis and thermal-economic analysis are put forward with detailed distribution of exergy and investment cost. Finally, aimed at energy-saving, static diagnosis is performed in two levels: energy conservation and cost reduction, and on this basis dynamic diagnosis is developed through sensitivity analysis considering different influence factors such as main steam temperature, fuel price, construction capital investment, post treatment cost and so on. The introduction of signal flow graph theory and thermal-economic structure theory is helpful to do performance estimation with high speed and good accuracy. It provides a new way for rapid optimization and offers an effective theoretical method for energy-saving of PWR nuclear power station including advanced reactor such as AP1000.

scholarly journals Thermo-economic analysis of an efficient lignite-fired power system integrated with flue gas fan mill pre-drying

2018 ◽  
Author(s):  
Junjie Yan ◽  
Xiaoqu Han ◽  
Jiahuan Wang ◽  
Ming Liu ◽  
Sotirios Karellas
Keyword(s):  
Moisture Content ◽  
Economic Analysis ◽  
Power System ◽  
Energy Saving ◽  
Flue Gas ◽  
Power Plants ◽  
Waste Heat ◽  
Low Rank ◽  
Analysis Model ◽  
Energy Saving Potential

Lignite is a domestic strategic reserve of low rank coals in many countries for its abundant resource and competitive price. Combustion for power generation is still an important approach to its utilization. However, the high moisture content always results in low efficiencies of lignite-direct-fired power plants. Lignite pre-drying is thus proposed as an effective method to improve the energy efficiency. The present work focuses on the flue gas pre-dried lignite-fired power system (FPLPS), which is integrated with fan mill pulverizing system and waste heat recovery. The thermo-economic analysis model was developed to predict its energy saving potential at design conditions. The pre-drying upgrade factor was defined to express the coupling of pre-drying system with boiler system and the efficiency improvement effect. The energy saving potential of the FPLPS, when applied in a 600 MW supercritical power unit, was determined to be 1.48 %-pts. It was concluded that the improvement of boiler efficiency mainly resulted from the lowered boiler exhaust temperature after firing pre-dried low moisture content lignite and the lowered dryer exhaust gas temperature after pre-heating the boiler air supply. Keywords: lignite; pre-drying; thermodynamic analysis; thermo-economics

An Economic Analysis Model With Environmental Strategies Embedded for End-of-Life Management of Electronic Products

2004 ◽  
Author(s):  
Chris Y. Yuan ◽  
Hong Chao Zhang
Keyword(s):  
Economic Analysis ◽  
End Of Life ◽  
Environmental Concerns ◽  
Analysis Model ◽  
Huge Amount ◽  
Electronic Products ◽  
Governmental Agencies ◽  
Management Processes ◽  
Environmental Strategies ◽  
Original Equipment Manufacturers

With huge amount of electronic products becoming obsolete each year, more and more Original Equipment Manufacturers (OEMs) and recycling companies engage in economic pursuits from the End-of-Life (EOL) management of the electronic wastes, while the increasing environmental concerns from society and governmental agencies ask for proper considerations of environmental strategies during the EOL management process to reduce the environmental impact of these electronic products. This paper proposes an economic analysis model with environmental strategies embedded for the management of EOL electronic products, in which both economic and environmental factors are well considered. The purpose of this model is to help OEMs and recyclers in economic and environmental analysis of their EOL management processes.

scholarly journals Automated Economic Analysis Model For Hazardous Waste Minimization

1990 ◽  
Vol 40 (7) ◽  
pp. 1004-1011 ◽  
Author(s):  
Seshasayi Dharmavaram ◽  
J. Brian Mount ◽  
Bernard A. Donahue
Keyword(s):  
Economic Analysis ◽  
Hazardous Waste ◽  
Waste Minimization ◽  
Analysis Model

Economic analysis model for inpatient parenteral nutrition: A pilot study

2009 ◽  
Vol 66 (4) ◽  
pp. 221-226 ◽  
Author(s):  
Rosalind POOLE ◽  
Lyn GILLANDERS ◽  
Lindsay PLANK ◽  
Kerry MCILROY ◽  
Hugh DAVOREN ◽  
...  
Keyword(s):  
Pilot Study ◽  
Parenteral Nutrition ◽  
Economic Analysis ◽  
Analysis Model

scholarly journals Economic Analysis on Value Chain of Taxi Fleet with Battery-Swapping Mode Using Multiobjective Genetic Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Guobao Ning ◽  
Zijian Zhen ◽  
Peng Wang ◽  
Yang Li ◽  
Huaixian Yin
Keyword(s):  
Genetic Algorithm ◽  
Economic Analysis ◽  
Value Chain ◽  
Mode Selection ◽  
Real Data ◽  
Economic Benefits ◽  
Taxi Driver ◽  
Analysis Model ◽  
Multiobjective Genetic Algorithm ◽  
Station Group

This paper presents an economic analysis model on value chain of taxi fleet with battery-swapping mode in a pilot city. In the model, economic benefits of charging-swapping station group, taxi company, and taxi driver in the region have been taken into consideration. Thus, the model is a multiobjective function and multiobjective genetic algorithm is used to solve this problem. According to the real data collected from the pilot city, the multiobjective genetic algorithm is tested as an effective method to solve this problem. Furthermore, the effects of price of electricity, price of battery package, life cycle of battery package, cost of battery-swapping devices and infrastructure, and driving mileage per day on the benefits of value holders are analyzed, which provide theoretical and practical reference for the deployment of electric vehicles, for the national subsidy criteria adjusment, technological innovation instruction, commercial mode selection, and infrastructure construction.

Sign in / Sign up

Export Citation Format

Share Document