OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT

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.

ANSARI M.; SETAYESH NAZAR M.

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

Journal Paper

Paper Information

Journal: JOURNAL OF ENERGY MANAGEMENT Year:2012 | Volume:2 | Issue:1 Page(s): 2-11

Download Full-Text

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

Persian Verion

View:

804

Download:

Cites:

Information Journal Paper

Title

OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT

Author(s)

ANSARI M. | SETAYESH NAZAR M. | Issue Writer Certificate

Keywords

LOAD SERVING ENTITIESQ2

DISTRIBUTED GENERATIONQ2

COMBINED HEAT AND POWER GENERATIONQ2

OPTIMIZATIONQ2

GENERATION EXPANSION PLANNINGQ2

GENETIC ALGORITHMQ2

Abstract

LOAD SERVING ENTITIES (LSE) of industrial district that have the operation responsibility of electric network, must procure the consumers electricity from wholesale electric market or the utility’s DISTRIBUTED GENERATION (DG). The GENERATION EXPANSION PLANNING (GEP) has a crucial impact on the optimality of LSE’s operation. In this paper, an innovative GEP is presented in which the location, time scheduling, heat and load capacity of COMBINED HEAT AND POWER GENERATION units are determined based on a semi dynamic scheduling. The proposed algorithm uses a GENETIC ALGORITHM for minimizing of LSE’s operation costs and it considers the heat/electric load following characteristics of DGs’. A case study is performed for a medium voltage feeder of industrial district, which its results approve the optimality of the solution.

Cites

No record.

References

OPTIMAL SIZING AND OPERATION OF AN INDUSTRIAL CHP SYSTEM FOR A GAS ENGINE PRIME MOVER

Cite

APA: Copy

ANSARI, M., & SETAYESH NAZAR, M.. (2012). OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT. JOURNAL OF ENERGY MANAGEMENT, 2(1), 2-11. SID. https://sid.ir/paper/223756/en

Vancouver: Copy

ANSARI M., SETAYESH NAZAR M.. OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT. JOURNAL OF ENERGY MANAGEMENT[Internet]. 2012;2(1):2-11. Available from: https://sid.ir/paper/223756/en

IEEE: Copy

M. ANSARI, and M. SETAYESH NAZAR, “OPTIMAL LOCATING AND CAPACITY SELECTION OF GAS FIRED DISTRIBUTED COGENERATION SYSTEMS FOR AN INDUSTRIAL DISTRICT,” JOURNAL OF ENERGY MANAGEMENT, vol. 2, no. 1, pp. 2–11, 2012, [Online]. Available: https://sid.ir/paper/223756/en

Related Journal Papers