Methodology for evaluation of cooling tower performance - Part 2: Application of the methodology and computational aspects of Poppe equations
(2011) In Energy Conversion and Management 52(11). p.3282-3289- Abstract
- A methodology for evaluation of natural draft cooling tower (CT) performance and its application is presented. The study establishes the connection between CT performance and power output. It can estimate a change in a CT’s efficiency as well as an increase in power output as a function of cooling water temperature and load to the plant. The methodology consists of three subparts, i.e. Cooling Tower Profiler (CTP) method, CT model and a model of the power plant that are described in the first part of the paper. The second part focuses on application of the methodology in a way that minimizes error of the CT model. One week of data from the power plant were acquired for the analysis. In the CT a small area with irregularities was examined,... (More)
- A methodology for evaluation of natural draft cooling tower (CT) performance and its application is presented. The study establishes the connection between CT performance and power output. It can estimate a change in a CT’s efficiency as well as an increase in power output as a function of cooling water temperature and load to the plant. The methodology consists of three subparts, i.e. Cooling Tower Profiler (CTP) method, CT model and a model of the power plant that are described in the first part of the paper. The second part focuses on application of the methodology in a way that minimizes error of the CT model. One week of data from the power plant were acquired for the analysis. In the CT a small area with irregularities was examined, and increased efficiency and power output are estimated by the methodology. Furthermore, another aspect of solving Poppe equations is examined resulting in reduced computational effort by approximately a half without losing any computational accuracy. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2165141
- author
- Smrekar, Jure ; Senegačnik, A and Führer, Claus LU
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Real data, Methodology, Cooling tower performance, Poppe model, Power plant, Cooling tower
- in
- Energy Conversion and Management
- volume
- 52
- issue
- 11
- pages
- 3282 - 3289
- publisher
- Elsevier
- external identifiers
-
- wos:000295244400004
- scopus:79960452029
- ISSN
- 0196-8904
- DOI
- 10.1016/j.enconman.2011.05.004
- language
- English
- LU publication?
- yes
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Numerical Analysis (011015004)
- id
- dfb8768a-a72b-435f-9cf9-c87962453bb0 (old id 2165141)
- alternative location
- http://www.sciencedirect.com/science/article/pii/S0196890411001610
- date added to LUP
- 2016-04-01 10:00:07
- date last changed
- 2022-04-12 00:58:16
@article{dfb8768a-a72b-435f-9cf9-c87962453bb0,
abstract = {{A methodology for evaluation of natural draft cooling tower (CT) performance and its application is presented. The study establishes the connection between CT performance and power output. It can estimate a change in a CT’s efficiency as well as an increase in power output as a function of cooling water temperature and load to the plant. The methodology consists of three subparts, i.e. Cooling Tower Profiler (CTP) method, CT model and a model of the power plant that are described in the first part of the paper. The second part focuses on application of the methodology in a way that minimizes error of the CT model. One week of data from the power plant were acquired for the analysis. In the CT a small area with irregularities was examined, and increased efficiency and power output are estimated by the methodology. Furthermore, another aspect of solving Poppe equations is examined resulting in reduced computational effort by approximately a half without losing any computational accuracy.}},
author = {{Smrekar, Jure and Senegačnik, A and Führer, Claus}},
issn = {{0196-8904}},
keywords = {{Real data; Methodology; Cooling tower performance; Poppe model; Power plant; Cooling tower}},
language = {{eng}},
number = {{11}},
pages = {{3282--3289}},
publisher = {{Elsevier}},
series = {{Energy Conversion and Management}},
title = {{Methodology for evaluation of cooling tower performance - Part 2: Application of the methodology and computational aspects of Poppe equations}},
url = {{http://dx.doi.org/10.1016/j.enconman.2011.05.004}},
doi = {{10.1016/j.enconman.2011.05.004}},
volume = {{52}},
year = {{2011}},
}