JOURNAL ARTICLE
Performance Analysis of Cement Plant Waste‐Heat Recovery for Power Generation Based on Partial Evaporating Cycle with Ejector.
Published In: Energy Technology, 2025, v. 13, n. 1. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Manalac, Ed Joshua; Berana, Menandro Serrano; Kim, Sung Chul 3 of 3
Abstract
In the cement industry, much waste heat is released into the environment. The organic Rankine cycle is widely utilized to harness waste heat for power generation. However, significant energy is lost in the heat recovery process due to the finite temperature difference between the heat source and working fluid, resulting in low power output andefficiency. To enhance the heat recovery from the cement flue gas and increase power output and overall efficiency, a novel partial evaporating cycle with ejector is proposed and investigated in this study. Pinch point analysis is performed to characterize the heat recovery process in the evaporator. The effects of the evaporating temperature, outlet quality of the evaporator, and exit pressure of the primary expander on system performance are also investigated. Results show that partially evaporating the fluid improves heat matching and reduces the irreversibilities in the evaporator by up to 18.1% when the outlet quality of the fluid is 0.33. Maximum net power of 803.15 kW can be generated with an evaporating temperature of 130 °C$130 \circ \text{C}$, outlet quality of 0.33, and expander exit pressure of 1054.9 kPa. Additionally, the inclusion of the ejector increases the net power produced by up to 76.07 kW. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Energy Technology. 2025/01, Vol. 13, Issue 1, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2025
- ISSN:21944288
- DOI:10.1002/ente.202401419
- Accession Number:184015091
- Copyright Statement:Copyright of Energy Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.