nach oben

Soft Computing

Erschienen in:

01.04.2015 | Focus

Study on application of a neuro-fuzzy models in air conditioning systems

verfasst von: Herbert R. do N. Costa, Alessandro La Neve

Erschienen in: Soft Computing | Ausgabe 4/2015

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

In this paper, we present the application of neuro-fuzzy system—ANFIS for air conditioning systems to reduce electricity consumption. The current buildings have automation systems that provide data on lighting, electrical system, air conditioning system, etc. We studied the air conditioning system, in particular, to reduce energy consumption as air conditioning has a high consumption value. Our main goal in this study is the application of neuro-fuzzy system—ANFIS with the adjustment of the rules made by a decision tree—CART algorithm in air conditioning system. We compared the results of the application of the ANFIS-CART system with the application of PID controllers and fuzzy control system for a central air conditioning.

Vorheriger Artikel Oxymoron generation using an association word corpus and a large-scale N-gram corpus

Nächster Artikel Internal states on equality algebras

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 "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

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

Albieri M, Beghi A, Bodo C, Cecchinato L (2009) Advanced control systems for single compressor chiller units. Int J Refrig 32:1068–1076CrossRef

Ashrae (2003) Handbook of HVAC Applications. American Society of Heating, Refrigerating and Air Conditioning Engineers. ASHRA, Atlanta, EUA

Bayraktar M, Fabrizio E, Perino M (2012) The extended building energy hub: a new method for the simultaneous optimization of energy demand and energy supply in buildings. HVAC&R Res 18(1–2):67–87

Chang Y-C (2007) Sequencing of chillers by estimating chiller power consumption using artificial neural networks. Build Environ 42:180–188CrossRef

Chang Y-C, Lin J-K, Chuang M-H (2005) Optimal chiller loading by genetic algorithm for reducing energy consumption. Energy Build 37:147–155CrossRef

Cordón O et al (2001) Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases. Advances in Fuzzy Systems—Applications and Theory, vol 19, World Scientific, Singapore

Costa HRN (1997) Implementation of a fuzzy control simulator for optimization of energy consumption in air conditioning systems. Thesis, Department of Electrical Engineering. Faculty of Industrial Engineering, FCA, Brazil

Cox E (1994) The fuzzy systems handbook: a practitioner’s guide to building, using, and maintaining fuzzy systems. Academic Press, CambridgeMATH

Haykin S (2009) Neural networks and learning machines. Pearson Education, New York

Itauplan (1981) Relatório técnico: Ar Condicionado para ambientes de trabalho das instalações do Grupo Itaú. Itaú Planejamento-Relatório Técnico. N IP010-00VA-001-RO, São Paulo, pp 48–66

Jang JS (1992) Neuro-fuzzy modeling: architectures, analyses and applications. Thesis of Doctor of Philosophy, Department of Electrical Engineering and Computer Science, University of California, Berkeley

Kapadia RG, Jain S, Agarwal RS (2009) Transient characteristics of split air-conditioning systems using R-22 and R-410A as refrigerants. HVAC&R Res 15(3):617–649CrossRef

López RS, Macías EJ, Parte MP (2008) Fuzzy model for decision taking of technologies in home and building electronic systems. Second UK Sim European Symposium on Computer Modeling and Simulation

Mirinejad H, Welch KC, Spicer L (2012) A review of intelligent control techniques in HVAC systems. In: Energytech, 2012 IEEE, 29–31 May 2012. Cleveland, OH, pp 1–5

Peixoto RA, Paiva MAS, Chin CC, Cespedes JFP (1990a) Modelagem e simulação Matemática de Sistemas Centrais de Ar Condicionado Visando a Análise do Consumo de Energia. III ENCIT, IPT, Itapema, Instituto de Pesquisas Tecnológicas do Estado de São Paulo, pp 853–858

Peixoto RA, Cespedes JFP, Paiva MAS, Chin CC, Sant‘anna RJ (1990b) Monitoração de um Sistema Central de Ar Condicionado visando a Obtenção de Dados de Desempenho e Análise de Medidas de Racionalização Energética. III ENCIT, IPT, Itapema, Instituto de Pesquisas Tecnológicas do Estado de São Paulo

Sauer HJ Jr, Howell RH (1989) Principles of heating ventilating and air conditioning. ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers). EUA, Atlanta, pp 8.1–8.8

Siroky J, Oldewurtel F, Cigler J, Prívara S (2011) Experimental analysis of model predictive control for an energy efficient building heating system. Appl Energy 88:3079–3087CrossRef

Sun Z, Wang S (2010) A CFD-based test method for control of indoor environment and space ventilation. Build Environ 45:1441–1447CrossRef

Terano T, Asai K, Suzano M (1991) Fuzzy systems theory and its applications. EUA, Editor Academic Press, New York, pp 87–94

Wang JJ, Jing Y (2006) Study of intelligent control system in air-conditioning system experiment installation. Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation. IEEE, China

Wang S, Ma Z (2008) Supervisory and optimal control of building HVAC systems: a review. HVAC&R Res 14(1):3–32CrossRef

Xu J, Zhou J-J (2012) The intelligent control of the central air conditioning. International Conference on Computer Science and Information Processing. CSIP, IEEE

Yang R, Wang L (2012) Optimal control strategy for HVAC system in building energy management. IEEE

Yang R, Wang L, Wang Z, Dounis A (2011) Customer-centered control system for intelligent and green building with heuristic optimization. IEEE

Zimmermann G, Lu Y, Lo G (2012) Automatic HVAC fault detection and diagnosis system generation based on heat flow models. HVAC&R Res 18(2):112–125

Titel: Study on application of a neuro-fuzzy models in air conditioning systems
verfasst von: Herbert R. do N. Costa
Alessandro La Neve
Publikationsdatum: 01.04.2015
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 4/2015
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-014-1431-5

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 "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 4/2015

A decision rule-based soft computing model for supporting financial performance improvement of the banking industry

Fuzzy logistic regression with least absolute deviations estimators

Oxymoron generation using an association word corpus and a large-scale N-gram corpus

Internal states on equality algebras

Anfis model for vibration signals based on aging process in electric motors

Random-key cuckoo search for the travelling salesman problem