Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
International Journal of Energy and Environmental Engineering
Erschienen in: International Journal of Energy and Environmental Engineering 4/2022

13.03.2022 | Original Research

Variable refrigerant flow air conditioning system applicant company selection using PROMETHEE method

verfasst von: Nejla Abacı, Yusuf Tansel İç

Erschienen in: International Journal of Energy and Environmental Engineering | Ausgabe 4/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Variable refrigerant flow (VRF) air conditioning systems have become highly preferred in the air conditioning sector has enabled many new companies to enter the industries of VRF Air Conditioning Systems manufacturer and applicant. It has become difficult for decision-makers to select the best applicant company among the alternatives. In this article, the applicant company selection model is developed for heat-pump VRF air condition systems to meet the heating and cooling needs of buildings. The operation and structure of the VRF systems and their selection criteria are determined for the applicant company. Using the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) method, one of the multi-criteria decision-making methods, an application company selection model has been presented for three different buildings according to the building characteristics and climate conditions.
Vorheriger Artikel Performance improvement of variable speed wind turbine by uncertainty estimator-based robust control design
Nächster Artikel Cooling technologies for enhancing photovoltaic–thermal (PVT) performance: a state of the art

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Perez-Lombard, L., Ortiz, J., Pout, C.: A review on buildings energy consumption information. Energy Build. 40, 394–398 (2008)CrossRef
2.
Afroz, Z., Shafiullah, G.M., Urmee, T., Higgins, G.: Modeling techniques used in building HVAC control systems: a review. Renew. Sustain. Energy Rev. 83, 64–84 (2018)CrossRef
3.
Kim, D., Cox, S.J., Cho, H., Im, P.: Evaluation of energy savings potential of variable refrigerant flow (VRF) from variable air volume (VAV) in the US climate locations. Energy Rep. 3, 85–93 (2017)CrossRef
4.
Hernandez, A.C., III., Fumo, N.: A review of variable refrigerant flow HVAC system components for residential application. Int. J. Refrig 110, 47–57 (2020)CrossRef
5.
Goetzler, W.: Variable refrigerant flow systems. Ashrae 4(49), 24 (2007)
6.
Afify, R.: Designing VRF systems. Ashare J. 6(52), 50 (2008)
7.
8.
Byeongmo, S., Beom, Y., Beyeong, H.Y., Soolyeon, C., Kwang, H.L.: Comparative analysis of cooling energy performance between water-cooled. Appl. Therm. Eng. 170, 114992 (2020)CrossRef
9.
Tolga, R.R., Aynur, N., Yunho, H.: Integration of variable rrefrigerant flow and heat pump desiccant systems for the cooling season. Appl. Therm. Eng. 30, 917–927 (2010)CrossRef
10.
Türkmen, U.: Energy, exergy and thermodynamic analysis of the VRF system in the case of office building application. Msc Thesis, Gazi University Institute of Science, Ankara, Turkey 2016 (In Turkish)
11.
Alperen, T.: Comparison of variable flow refrigerant (VRF) and fan coil (FCU) systems. Msc Thesis, Marmara University Institute of Science, Istanbul, Turkey, 2020 (In Turkish)
12.
Anıl, A.: Evaluation of variable flow air conditioning system (VRF) in a hotel project. Msc Thesis, Ege University Institute of Science, Izmir, Turkey, 2019 (In Turkish)
13.
Ertuğrul, İ, Özçil, A.: Air conditioner selection with TOPSIS and VIKOR methods in multi criteria decision making. Çankırı Karatekin Univ. J. Fac. Econ. Admin. Sci. 4(1), 267–282 (2014)
14.
Bayeh, C.Z.E., Khaled, A., Brahim, B., Mohammed, Z., Eicker, U.: An original multi-criteria decision-making algorithm for solar panels selection in buildngs. Energy 217, 119396 (2021)CrossRef
15.
Masood, E., Keshavarz, A.: Combined cooling, heating and power: decision-making, design and optimization. Elsevier (2014)
16.
Polat, G., Bayram, H.G.: Selection of HVAC-AHU system supplier with environmental considerations using fuzzy EDAS method. Int. J. Constr. Manag. 1562–3599, 2331–2327 (2020)
17.
Cuny, M., Lapertot, A., Lin, J., Kadoch, B., Le Métayer, O.: Multi-criteria optimization of an earth-air heat exchanger for different French climates. Renew. Energy 157, 342–352 (2020)CrossRef
18.
Pitambar, G., Prabhune, C., Pathan, F.: Selection of phase change material for domestic water heating using multi criteria decision approach. Aust. J. Mech. Eng. 24, 1–21 (2020)
19.
Roy, S.A., Syed, M.A., Golam, K., Rafid, E., Saima, A., Tasmiah, H., Hasan, R.: A framework for sustainable supplier selection with transportation criteria. Int. J. Sustain. Eng. 13(2), 77–92 (2020)CrossRef
20.
Sidhu, J., Singh, S.: Using the improved PROMETHEE for selection of trustworthy cloud database servers. Int. Arab J. Inform. Technol. 2, 194–209 (2019)
21.
Crnjac, M., Aljinovic, A., Gjeldum, N., Mladineo, M.: Two-stage product design selection by using PROMETHEE and Taguchi method: a case study. Adv. Prod. Eng. Manag. 14(1), 39–50 (2019)
22.
Govindan, K., Miłosz, K., Sivakumar, R.: Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega 71, 129–145 (2017)CrossRef
23.
Dağdeviren, M.: A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. J. Intell. Manuf. 21, 451–460 (2010)CrossRef
24.
Yılmaz, B., Dağdeviren, M.: Comparative analysis of promethee and fuzzy promethee methods in equipment selection problem. J. Fac. Eng. Arch. Gazi Univ. 4(25), 811–826 (2010)
25.
Dağdeviren, M., Eraslan, E.: Supplier selection using promethee sequencing method. J. Fac. Eng. Arch. Gazi Univ. 23(1), 69–75 (2008)
26.
Güney, C.: Evaluation of sectors in terms of investors with visual PROMETHEE. TURAN-SAM 9(34), 177–187 (2017). (In Turkish)
27.
Behzadian, M., Kazemzadeh, R.B., Albadvi, A., Aghdasi, M.: PROMETHEE: a comprehensive literature review on methodologies and applications. Eur. J. Oper. Res. 200(1), 198–215 (2010)CrossRefMATH
28.
Siksnelyte-Butkiene, I., Zavadskas, E.K., Streimikiene, D.: Multi-criteria decision-making (MCDM) for the assessment of renewable energy technologies in a household: a review. Energies 13(5), 1164 (2020)CrossRef
29.
Kaya, I., Colak, M., Terzi, F.: A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strat. Rev. 24, 207–228 (2019)CrossRef
30.
Yamankaradeniz, R., Horuz, İ, Coşkun, S., Kaynaklı, Ö., Yamankaradeniz, N.: Air conditioning principles and practices. Dora Publihing, Istanbul (2015)
31.
Keçebaş, A., Daşdemir, A.: Seasonal efficiency and correct air conditioning usage in air conditioners. Tesisat Mühendisliği 150, 13–17 (2015). (In Turkish)
32.
33.
Hasan, A.: Recommendations on Management of New Product Development Activities in Air Conditioning. Refrigeration and Air Conditioning Industry Companies, Tesisat Mühendisliği 137, 49–67 (2013)
34.
Kabak, M., Çınar, Y.: Multi-criteria decision making. Nobel (2020)
35.
Brans, J.P., De Smet, Y.: PROMETHEE methods. In: Multiple criteria decision analysis, pp. 187–219. Springer, New York (2016) . (163–195)CrossRef
36.
37.
Ic, Y.T.: An experimental design approach using TOPSIS method for the selection of computer- integrated manufacturing technologies. Robot. Comput. Integr. Manuf. 28, 245–256 (2012)CrossRef
38.
Ic, Y.T.: A TOPSIS based design of experiment approach to assess company ranking. Appl. Math. Comput. 227, 630–647 (2014)MathSciNetMATH
Metadaten
Titel
Variable refrigerant flow air conditioning system applicant company selection using PROMETHEE method
verfasst von
Nejla Abacı
Yusuf Tansel İç
Publikationsdatum
13.03.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Energy and Environmental Engineering / Ausgabe 4/2022
Print ISSN: 2008-9163
Elektronische ISSN: 2251-6832
DOI
https://doi.org/10.1007/s40095-022-00485-6

Weitere Artikel der Ausgabe 4/2022

International Journal of Energy and Environmental Engineering 4/2022 Zur Ausgabe

Original Research

Taxonomy of green cloud computing techniques with environment quality improvement considering: a survey

Original Research

Intelligent shading fault detection in a PV system with MPPT control using neural network technique

Original Research

Cooling technologies for enhancing photovoltaic–thermal (PVT) performance: a state of the art

Original Research

Optimization of external wall insulation thickness in buildings using response surface methodology

Original Research

Prediction of species concentration in syngas produced through gasification of different bamboo biomasses: a numerical approach

Original Research

Hybrid renewable energy systems for a remote community in a high mountain plateau