scholarly journals Economic Analysis of Energy Consumption Based on Thermoeconomic Cost Analysis Model

2019 ◽  
Vol 37 (2) ◽  
pp. 620-624
Author(s):  
Weitao Wu
Keyword(s):  
Energy Consumption ◽  
Economic Analysis ◽  
Cost Analysis ◽  
Analysis Model

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

Reply to the ‘Comment on “Techno-economic analysis of capacitive and intercalative water deionization”’ by S. K. Patel, L. Wang and M. Elimelech, Energy Environ. Sci., 2021, 10.1039/D0EE03321A

2021 ◽  
Author(s):  
Michael Metzger ◽  
Münir Besli ◽  
Saravanan Kuppan ◽  
Sondra Hellstrom ◽  
Soo Kim ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Economic Analysis ◽  
Separation Conditions ◽  
Energy Environ

This reply provides updated energy consumption estimates at clearly defined separation conditions for electrochemical desalination concepts.

A cost-analysis model for anticoagulant treatment in the hospital setting

2014 ◽  
Vol 17 (7) ◽  
pp. 492-498 ◽  
Author(s):  
Samir H. Mody ◽  
Lynn Huynh ◽  
Daisy Y. Zhuo ◽  
Kevin N. Tran ◽  
Patrick Lefebvre ◽  
...  
Keyword(s):  
Cost Analysis ◽  
Hospital Setting ◽  
Anticoagulant Treatment ◽  
Analysis Model

An optimal scheduling policy for upgraded software with updates

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adarsh Anand ◽  
Subhrata Das ◽  
Mohini Agarwal ◽  
Shinji Inoue
Keyword(s):  
Cost Analysis ◽  
Optimization Model ◽  
Real Life ◽  
Economic Benefits ◽  
Release Time ◽  
Analysis Model ◽  
Content Type ◽  
Software Upgrades ◽  
Stop Time ◽  
Combined Use

PurposeIn the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software upgrades help in reinventing working software through major changes, like functionality addition, feature enhancement, structural changes, etc. In software updates, minor changes are undertaken which help in improving software performance by fixing bugs and security issues in the current version of the software. Through the current proposal, the authors wish to highlight the economic benefits of the combined use of upgrade and update service. A cost analysis model has been proposed for the same.Design/methodology/approachThe article discusses a cost analysis model highlighting the distinction between launch time and time to end the testing process. The number of bugs which have to be catered in each release has been determined which also consists of the count of latent bugs of previous version. Convolution theory has been utilized to incorporate the joint role of tester and user in bug detection into the model. The cost incurred in debugging process was determined. An optimization model was designed which considers the reliability and budget constraints while minimizing the total debugging cost. This optimization was used to determine the release time and testing stop time.FindingsThe proposal is backed by real-life software bug dataset consisting of four releases. The model was able to successfully determine the ideal software release time and the testing stop time. An increased profit is generated by releasing the software earlier and continues testing long after its release.Originality/valueThe work contributes positively to the field by providing an effective optimization model, which was able to determine the economic benefit of the combined use of upgrade and update service. The model can be used by management to determine their timelines and cost that will be incurred depending on their product and available resources.

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.

The Analysis of Automotive Door Seal Energy Consumption

2011 ◽  
Vol 80-81 ◽  
pp. 714-718
Author(s):  
Yun Kai Gao ◽  
Da Wei Gao
Keyword(s):  
Energy Consumption ◽  
Elastic Force ◽  
Bernoulli Equation ◽  
Analysis Model ◽  
Damping Force ◽  
Total Energy Consumption ◽  
Linear Elastic ◽  
Non Linear ◽  
Linear Damping ◽  
Simplified Analysis

The seal deformation of automotive door is caused by the door compression forces, including non-linear elastic force and non-linear damping force. The working principles of them are analyzed and a new simplified analysis model is built. Based on the Bernoulli equation and the law of conservation of mass, the mathematical models are established to calculate energy consumption of the seal system. According to the analysis results, the energy consumption of non-linear elastic force and non-linear damping force are respectively 84% and 16% of the total energy consumption of the seal system. At last, the calculation data is compared with the test data and the error is less than 5%, so the calculation method proposed in this paper is observed to be accurate.

scholarly journals Least Cost Analysis of Energy Efficiency Upgrades for Ontario Using Trnsys

2021 ◽  
Author(s):  
Amir Fereidouni Kondri
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Cost Analysis ◽  
Energy Efficient ◽  
Life Cycle Cost ◽  
Net Present Value ◽  
Hot Water ◽  
Life Cycle Costs ◽  
Residential Housing ◽  
Domestic Hot Water

This report presents the methodology for determining least cost energy efficient upgrade solutions in new residential housing using brute force sequential search (BFSS) method for integration into the reference house to reduce energy consumption while minimizing the net present value (NPV) of life cycle costs. The results showed that, based on the life cycle cost analysis of 30 years, the optimal upgrades resulted in the average of 19.25% (case 1), 31% (case 2a), and 21% (case 2b) reduction in annual energy consumption. Economic conditions affect the sequencing of the upgrades. In this respect the preferred upgrades to be performed in order are; domestic hot water heating, above grade wall insulation, cooling systems, ceiling insulation, floor insulation, heat recovery ventilator, basement slab insulation and below grade wall insulation. When the gas commodity pricing becomes high, the more energy efficient upgrades for domestic hot water (DHW) get selected at a cost premium.

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

9.1.1 Trade Study Cost Analysis Model

2006 ◽  
Vol 16 (1) ◽  
pp. 1206-1228
Author(s):  
Ed Casey ◽  
Desiree Davis
Keyword(s):  
Cost Analysis ◽  
Analysis Model ◽  
Trade Study
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