SELECTION OF GAS ENGINE CAPACITY IN OPTIMIZATION OF CCHP SYSTEM USING GENETIC ALGORITHM, A CASE STUDY OF WATER SPORTS COMPLEX

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TAVAKOLI DASTJERD F.; GHAFOORIAN M.M.; SHAFIEI MAYAM M.H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF MECHANICAL ENGINEERING AMIRKABIR (AMIRKABIR) Year:2016 | Volume:48 | Issue:1 Page(s): 29-32

Download Full-Text

Persian Verion

View:

814

Download:

367

Cites:

Information Journal Paper

Title

SELECTION OF GAS ENGINE CAPACITY IN OPTIMIZATION OF CCHP SYSTEM USING GENETIC ALGORITHM, A CASE STUDY OF WATER SPORTS COMPLEX

Author(s)

TAVAKOLI DASTJERD F. | GHAFOORIAN M.M. | SHAFIEI MAYAM M.H. | Issue Writer Certificate

Keywords

COMBINED COOLINGQ2

HEATING AND POWER SYSTEMQ2

MAXIMUM ANNUAL RATE OF RETURNQ2

POSSIBILITY OF SELLING ELECTRICITYQ2

Abstract

Energy, economic and environmental analysis have been employed in order to optimize optimal (nominal) capacity of a COMBINED COOLING, HEATING AND POWER SYSTEM in a water sports complex. Design parameters are nominal capacity and number of gas engines and their partial load, heat capacity of boiler and cooling capacity of electricity and absorption chillers. These parameters are optimized either in the scenarios of POSSIBILITY OF SELLING ELECTRICITY (SS) or impossibility of selling scenarios (SNS). Design parameters are optimized using genetic algorithm and a multi criteria objective function that is called relative annual profit (RAB). Next, how to select optimal capacity of gas engine has been investigated economically, saving fuel and controlling the pollutants (CO, NOx, and CO2). Optimization results illustrate that two gas engine with capacity of 130 kW and 150 kW have the maximum value of objective function in the scenarios of POSSIBILITY OF SELLING ELECTRICITY, while in the impossibility of selling scenarios the maximum value of goal function is for on 120 kW gas engine. In addition, the results reveal that payback periods on investment are increased (decreased) when two similar capacity are chosen in the cases of SS (SNS). Moreover, fuel consumption and CO2 emissions are decreased (increased) in the scenarios of SS (SNS).

Cites

No record.

References

No record.

Cite

APA: Copy

TAVAKOLI DASTJERD, F., GHAFOORIAN, M.M., & SHAFIEI MAYAM, M.H.. (2016). SELECTION OF GAS ENGINE CAPACITY IN OPTIMIZATION OF CCHP SYSTEM USING GENETIC ALGORITHM, A CASE STUDY OF WATER SPORTS COMPLEX. JOURNAL OF MECHANICAL ENGINEERING AMIRKABIR (AMIRKABIR), 48(1), 29-32. SID. https://sid.ir/paper/359171/en

Vancouver: Copy

TAVAKOLI DASTJERD F., GHAFOORIAN M.M., SHAFIEI MAYAM M.H.. SELECTION OF GAS ENGINE CAPACITY IN OPTIMIZATION OF CCHP SYSTEM USING GENETIC ALGORITHM, A CASE STUDY OF WATER SPORTS COMPLEX. JOURNAL OF MECHANICAL ENGINEERING AMIRKABIR (AMIRKABIR)[Internet]. 2016;48(1):29-32. Available from: https://sid.ir/paper/359171/en

IEEE: Copy

F. TAVAKOLI DASTJERD, M.M. GHAFOORIAN, and M.H. SHAFIEI MAYAM, “SELECTION OF GAS ENGINE CAPACITY IN OPTIMIZATION OF CCHP SYSTEM USING GENETIC ALGORITHM, A CASE STUDY OF WATER SPORTS COMPLEX,” JOURNAL OF MECHANICAL ENGINEERING AMIRKABIR (AMIRKABIR), vol. 48, no. 1, pp. 29–32, 2016, [Online]. Available: https://sid.ir/paper/359171/en

Related Journal Papers