Araştırma Makalesi

Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)

Cilt: 1 Sayı: 1 27 Aralık 2017
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Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)

Öz

The source of geothermal energy to be used for district heating systems is, in most cases, located some distance from the heating market, although geothermal water may also be found within the market area. A transmission pipeline is therefore needed to transport the geothermal fluid from the geothermal field to the end users. Geothermal fluids can be transported over fairly long distances in thermally insulated pipelines. Transmission pipelines of even 60 km length have been built with acceptable heat loss values, though shorter transmission distances are much more common and clearly more desirable. At flowing conditions, the temperature drop in insulated pipelines is in the range of 0.1 to 1.0°C/km, while in uninsulated lines it is 2 to 5°C/km (in the range of 5 to 15 l/s flow for 15-cm diameter pipe).

 

In addition to a group of parameters, which are almost constant, such as the length, diameter, thickness, thermal insulation properties and material type of the pipeline, whether above ground or buried and so on, temperature drop rate in transmission pipelines is strongly affected by flow rates. At low flow rates, the temperature drop is higher than that of greater flow rates. The temperature drop depending on the flow rate becomes more apparent for relatively long pipelines.

 

In this study, the temperature drops in the transmission pipeline of the Bigadiç geothermal district heating system (GDHS), a buried 18 km long pipeline, is investigated for varying flow rates. Response Surface Methodology (RSM) is then used for modelling and estimating the flow rate depending on the temperature drop in the pipeline. The results show that the flow rates given by the model (with R2, coefficient of determination, of 96.67%) are in a good agreement with those measured by the flowmeter.

Anahtar Kelimeler

Kaynakça

  1. J.W. Lund, D.H. Freeston and T.L. Boyd, 2005. Direct application of geothermal energy. Geothermics. 34, 691-727.
  2. J.W. Lund and T. Boyd, 2015. Direct Utilization of Geothermal Energy 2015 Worldwide Review. Proceedings World Geothermal Congress 2015. Melbourne-Australia.
  3. M. Parlaktuna, O. Mertoglu, S. Simsek, H. Paksoy and N. Basarir, 2013. Geothermal Country Update Report of Turkey (2010-2013). European Geothermal Congress. Pisa- Italy.
  4. A. Ragnarsson and I. Hrolfsson, 1998. Akranes and Borgarfjordur District Heating System. Geo-Heat Center Quarterly Bulletin, 19 (4).
  5. M. H. Dickson, and M. Fanelli (Eds.), Geothermal Energy Utilization and Technology, UNESCO, France, 2003. G. P. Ryan, 1981. Equipment Used in Direct Heat Projects. Geothermal Resources Council Transactions.5, Davis, CA, pp. 483-485.
  6. J.W. Lund, 2006. Direct Heat Utilization of Geothermal Resources Worldwide 2005. ASEG Extended Abstracts 2006: 18th Geophysical Conference.1-15.
  7. T. Akyol, 2016. Energy and Exergy Analysis of Bigadiç-Balıkesir Geothermal District Heating System, PhD Thesis, Department of Mechanical Engineering, Graduate School of Natural and Applied Sciences, Balıkesir University, Turkey.
  8. A.D. Karaoglan, N. Celik, 2016. A New Painting Process for Vessel Radiators of Transformer: Wet-on-Wet (WOW). Journal of Applied Statistics. 43 (2), 370-386.

Ayrıntılar

Birincil Dil

Türkçe

Konular

Çevre Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

A. DENİZ Karaoğlan Bu kişi benim

BEDRİ Yüksel Bu kişi benim

ASİYE Aslan Bu kişi benim

Yayımlanma Tarihi

27 Aralık 2017

Gönderilme Tarihi

16 Aralık 2017

Kabul Tarihi

19 Aralık 2017

Yayımlandığı Sayı

Yıl 2017 Cilt: 1 Sayı: 1

Kaynak Göster

APA
Akyol, U., Akyol, T., Karaoğlan, A. D., Yüksel, B., & Aslan, A. (2017). Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM). Uluslararası Çevresel Eğilimler Dergisi, 1(1), 22-31. https://izlik.org/JA27BR56TB
AMA
1.Akyol U, Akyol T, Karaoğlan AD, Yüksel B, Aslan A. Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM). IJENT. 2017;1(1):22-31. https://izlik.org/JA27BR56TB
Chicago
Akyol, UĞUR, TUĞRUL Akyol, A. DENİZ Karaoğlan, BEDRİ Yüksel, ve ASİYE Aslan. 2017. “Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)”. Uluslararası Çevresel Eğilimler Dergisi 1 (1): 22-31. https://izlik.org/JA27BR56TB.
EndNote
Akyol U, Akyol T, Karaoğlan AD, Yüksel B, Aslan A (01 Aralık 2017) Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM). Uluslararası Çevresel Eğilimler Dergisi 1 1 22–31.
IEEE
[1]U. Akyol, T. Akyol, A. D. Karaoğlan, B. Yüksel, ve A. Aslan, “Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)”, IJENT, c. 1, sy 1, ss. 22–31, Ara. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA27BR56TB
ISNAD
Akyol, UĞUR - Akyol, TUĞRUL - Karaoğlan, A. DENİZ - Yüksel, BEDRİ - Aslan, ASİYE. “Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)”. Uluslararası Çevresel Eğilimler Dergisi 1/1 (01 Aralık 2017): 22-31. https://izlik.org/JA27BR56TB.
JAMA
1.Akyol U, Akyol T, Karaoğlan AD, Yüksel B, Aslan A. Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM). IJENT. 2017;1:22–31.
MLA
Akyol, UĞUR, vd. “Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM)”. Uluslararası Çevresel Eğilimler Dergisi, c. 1, sy 1, Aralık 2017, ss. 22-31, https://izlik.org/JA27BR56TB.
Vancouver
1.UĞUR Akyol, TUĞRUL Akyol, A. DENİZ Karaoğlan, BEDRİ Yüksel, ASİYE Aslan. Flow Rate Estimation Modelling in a Transmission Pipeline Using Response Surface Methodology (RSM). IJENT [Internet]. 01 Aralık 2017;1(1):22-31. Erişim adresi: https://izlik.org/JA27BR56TB

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