nach oben

Cluster Computing

Erschienen in:

24.07.2017

A bi-level optimization for an HVAC system

verfasst von: Luping Zhuang, Xi Chen, Xiaohong Guan

Erschienen in: Cluster Computing | Ausgabe 4/2017

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

Improving the control strategy of an heating, ventilation, and air-conditioning (HVAC) system can result in substantial energy saving. In this paper, we formulate the whole HVAC system to a bi-level optimization problem to minimize the energy consumption of the HVAC system and maximize the satisfaction of indoor human comfort. The hierarchical evolutionary algorithm with preliminary feasibility conditions and crude energy index is proposed to find the good-quality control strategy of the HVAC system. Numerical results demonstrate the efficiency and effectiveness of the proposed method and show the performance of the obtained control strategy.

Vorheriger Artikel New deformation back analysis method for the creep model parameters using finite element nonlinear method

Nächster Artikel The mechanical arm control based on harmony search genetic algorithm

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

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Imbabi, M.S.: Computer validation of scale model tests for building energy simulation. Int. J. Energy Res. 14, 727–736 (1990)CrossRef

Ferreira, P.M., Sliva, S.M. Ruano, A.E., Negrier, A.T., Conceicao, E.Z.E.: Neural network PMV estimation for model-based predictive control of HVAC systems. In: International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2012)

Mathews, E.H., Botha, C.P., Arndt, D.C., Malan, A.: HVAC control strategies to enhance comfort and minimize energy usage. Energy Build. 33, 853–863 (2001)CrossRef

Kusiak, A., Tang, F., Xu, G.L.: Multi-objective optimization of HVAC system with an evolutionary computation algorithm. Energy 36, 2440–2449 (2011)CrossRef

Sum, B., Luh, P.B., Jia, Q.S., Jiang, Z.Y., Wang, F.L., Song, C.: Building energy management: integrated control of active and passive heating, cooling, lighting, shading, and ventilation systems. IEEE Trans. Autom. Sci. Eng. 10(3), 588–602 (2013)CrossRef

Chu, C.M., Jong, T.L., Huang, Y.W.: Thermal comfort control on multi-room fan coil unit system using LEE-based fuzzy logic. Energy Convers. Manag. 46, 1579–1593 (2005)CrossRef

Cheung, H., Braun, J.E.: Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs. Appl. Therm. Eng. 99, 756–764 (2016)CrossRef

Zhao, Y., Sun, F., Long, G., Huang, X., Huang, W.: Comparative study on the cooling characteristics of high level water collecting natural draft wet cooling tower and the usual cooling tower. Energy Convers. Manag. 116, 150–164 (2016)CrossRef

Fong, K.F., Hanby, V.I., Chow, T.T.: System optimization for HVAC energy management using the robust evolutionary algorithm. Appl. Therm. Eng. 29, 2327–2334 (2009)CrossRef

10.

Flake, B.A.: Parameter estimation and optimal supervisory control of chilled water plants. Ph.D. thesis, Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI (1998)

11.

Liu, Z., Song, F., Jiang, Z., Chen, X., Guan, X.: Optimization based integrated control of building HVAC system. Build. Simul. 7, 375–387 (2014)CrossRef

12.

Liu, Z., Chen, X., Xu, X., Guan, X.: Decentralized Optimization for Energy Saving of HVAC System, pp. 225–230. CASE, Washington, D.C (2013)

13.

Fang, X., Jin, X., Du, Z., Wang, Y.: The evaluation of operation performance of HVAC system based on the ideal operation level of system. Energy Build. 110, 330–344 (2015)CrossRef

14.

Koh, A.: Solving transportation bi-level programs with differential evolution. In: IEEE Congress on Evolutionary Computation (CEC 2007), pp. 2243–2250 (2007)

15.

Chiou, S.: Bi-level formulation for equilibrium traffic flow and signal settings. In: Griffiths, J.D. (ed.) Mathematics in Transport Planning and Control, pp. 59–68. Pergamon, Amsterdam (1998)CrossRef

16.

An, B., Ordonez, F., Tambe, M., Shieh, E., Yang, R., Baldwin, C., DiRenzo III, J., Moretti, K., Maule, B., Meyer, G.: A deployed quantal response-based patrol planning system for the U.S. coast guard. Interfaces 43(5), 400–420 (2013)CrossRef

17.

Liacco, D.: The adaptive reliability control system. IEEE Trans. Power App. Syst. PAS 86(5), 517–531 (1967)CrossRef

18.

Fudenberg, D., Tirole, J.: Game Theory. MIT Press, Cambridge (1993)MATH

19.

Zhang, X.N., Yang, H.: The optimal cordon-based network congestion pricing problem. Transp. Res. Part B 38(5), 517–537 (2004)CrossRef

20.

Calvete, H.I., Galé, C., Oliveros, M.J.: Bilevel model for production-distribution planning solved by using ant colony optimization. Comput. Oper. Res. 38(1), 320–327 (2011)CrossRefMATH

21.

Marinakis, Y., Marinaki, M.: A bilevel genetic algorithm for a real life location routing problem. Int. J. Logist: Res. Appl. 11(1), 49–65 (2008)CrossRefMATH

22.

Talbi, E.G.: Metaheuristics: From Design to Implementation. Wiley, Hoboken, NJ (2009)CrossRefMATH

23.

Fliege, J., Vicente, L.N.: Multicriteria approach to bilevel optimization. Optim. Theory Appl. 131(2), 209–225 (2006)CrossRefMATHMathSciNet

24.

Legillon, F., Liefooghe, A., Talbi, E.G.: CoBRA: a cooperative coevolutionary algorithm for bi-level optimization. IEEE Congress on Evolutionary Computation (CEC 2012), pp. 1–8 (2012)

25.

Chaabani, A., Bechikh, S., Said, L.B.: A co-evolutionary decomposition-based algorithm for Bi-Level combinatorial optimization. In: 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 124–132 (2015)

26.

Oduguwa, V., Roy, R.: Bi-level optimisation using genetic algorithm. In: 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002), pp. 322–327 (2002)

27.

Colson, B., Marcotte, P., Savard, G.: Bilevel programming: a survey. 4OR 3(2), 87–107 (2005)CrossRefMATHMathSciNet

28.

DeST software, Department of Building Science, Tsinghua University, Bejing (2008). http://www.dest.com.cn

29.

Xue, Z.F., Jiang, Y.: Energy-Saving Diagnosis and Retrofit in Existing Building. China Architecture & Building Press, Beijing (2007). (in Chinese)

Titel: A bi-level optimization for an HVAC system
verfasst von: Luping Zhuang
Xi Chen
Xiaohong Guan
Publikationsdatum: 24.07.2017
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe 4/2017
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1050-x

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2017

Coupling analysis of hydraulic fracturing computation base on element-free method

Study on a confidence machine learning method based on ensemble learning

Design and implementation of an efficient flushing scheme for cloud key-value storage

Half-soft starting control of switched reluctance motor using discrete position signal processing

Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network

Application of BFO-AFSA to location of distribution centre