Optimization of cold thermal energy storage systems with commissioning and storage time approach by using intelligent algorithms

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.

Hosseinjany Salar; Ahmadi Danesh Ashtiani Hossien; Khoshgard Ahmad; Fazaeli Reza

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

Journal Paper

Paper Information

Journal: Energy Equipment and Systems Year:2023 | Volume:11 | Issue:4 Page(s): 439-453

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Optimization of cold thermal energy storage systems with commissioning and storage time approach by using intelligent algorithms

Author(s)

Hosseinjany Salar | Ahmadi Danesh Ashtiani Hossien | Khoshgard Ahmad | Fazaeli Reza | Issue Writer Certificate

Keywords

Cold Thermal energy storage system

peak load

4E analysis

energy consumption optimization

Abstract

The use of Cold Thermal energy storage systems (CTES) is to decrease power consumption in air conditioning systems. CTES systems have 2 types full operating mode (FOM) and partial operating mode (POM). Objective functions are considered as exergy efficiency and total annual cost because of releasing co2 of CTES systems. Multi-objective techniques are used in MOPSO and SEAP2 algorithm to optimize target functions. The fidings achieved from multi-objective analysis indicate a difference in the optimal amounts of design points compared to single- objective optimization, objective function 1 (exergy efficiency) and objective function2 (total annual costs). Also the report of studying this model represent that because of the use of CTES, there is reduction of electricity consumption. Also because of transferring cooling load from peak hours to low consumption and reduced power consumption, we have a reduction in operating costs comparing to a traditional air conditioning system. Finally, the results show that the payback period for an CTES system in partial storage mode is 3.43 years and for a full storage system is close to 3.88 years, however, due to further reduction of operating costs in full storage mode, the total stored cost of this system after the useful life of the set (15 years) is more than partial storage type. it should be noted that the use of the CTES system decreases the production of CO2, which reduces environmental pollution. Finally, the PCMs used in the construction industry are introduced and compared with each other in terms of exergy efficiency.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans