A new optimization method for cooling systems considering low-temperature waste heat utilization in a polysilicon industry

Shaofei Shi, Yufei Wang, Youlei Wang and Xiao Feng

Energy, 2022, vol. 238, issue PA

Abstract: Cooling systems have been widely used in the industry. In order to satisfy cooling processes with large temperature ranges, cascade cooling systems included different cooling methods have been developed. However, waste heat in such processes could still be recovered instead of being cooled down in further operations. There are many waste heat recovery technologies, but a systematic method to implement such technologies in a cascade cooling system optimally has not been well studied. This paper presents a new cascade cooling system considering waste heat recovery via Organic Rankine Cycle (ORC) and absorption refrigeration (AR). An optimization method for minimizing the total annual cost has been proposed to distribute the cooling duty for different cooling methods. A case study is conducted to validate the economic advantages of the proposed method. From the results, the scheme using AR can reduce the total annual cost by 37.5% and the scheme using ORC can reduce the total annual cost by 42.8%. Results show that in cases where the heat source supply temperature is higher than 123 °C, ORC will achieve higher economic benefits. Otherwise, AR is economically superior to ORC. The method can also indicate how to distribute cooling duty between different cooling method.

Keywords: Waste heat recovery; Organic rankine cycle; Absorption refrigeration; Optimization; Polysilicon industry (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054422102048X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:238:y:2022:i:pa:s036054422102048x

DOI: 10.1016/j.energy.2021.121800

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().