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New Trends

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Part of the book series: Advances in Industrial Control ((AIC))

Abstract

In this chapter, new trends for comfort control in buildings are presented. First, a brief review of recent approaches in comfort control is made. Second, some of these new trends which have been tested in the CDdI-CIESOL-ARFRISOL building are explained and discussed. Moreover, a section which includes some suggestions aimed at buildings’ technicians about comfort control, which are based on the knowledge presented along this book, are included.

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References

  • Agüero J, Rodríguez F, Castilla M, Pereira M (2013a) Productiveness and real time prices in energy management for HVAC systems. In: Proceedings of the 39th annual conference of the IEEE industrial electronics society, Vienna, Austria

    Google Scholar 

  • Agüero J, Rodríguez F, Giménez A (2013b) Energy management based on productiveness concept. Renew Sustain Energy Rev 22:92–100

    Google Scholar 

  • Álvarez JD, Costa-Castelló R, Castilla M, Camacho EF (2013) Repetitive control to counteract the effect of people on thermal comfort control. In: Proceedings of European Control Conference, ECC’13, Zürich, Switzerland

    Google Scholar 

  • Camponogara E, Jia D, Krogh BH, Talukdar SN (2002) Distributed model predictive control. IEEE Control Syst Mag 22(1):44–52

    Google Scholar 

  • Conejo AJ, Morales JM, Baringo L (2010) Real-time demand response model. IEEE Trans Smart Grid 1(3):236–242

    Google Scholar 

  • IEA (2008) Worldwide trends in energy use and efficiency. Key insights from IEA indicator analysis. International energy agency. http://www.iea.org/publications/freepublications/publication/Indicators_2008-1.pdf. Accessed 18 Apr 2013

  • Jorge H, Antunes CH, Martins AG (2000) A multiple objective decision support model for the selection of remote load control strategies. IEEE Trans Power Syst 15(2):865–872

    Google Scholar 

  • Koehler S, Borrelli F (2013) Building temperature distributed control via explicit MPC and Trim and Respond methods. In: Proceedings of the European Control Conference, ECC’13. Zürich, Switzerland, pp 4334–4339

    Google Scholar 

  • Kolokotsa D, Tsiavos D, Stavrakakis GS, Kalaitzakis K, Antonidakis E (2001) Advanced fuzzy logic controllers design and evaluation for buildings’ occupant thermal-visual comfort and indoor air quality satisfaction. Energy Build 33:531–543

    Google Scholar 

  • Lehmann B, Gyalistras D, Gwerder M, Wirth K, Carl S (2012) Intermediate complexity model for model predictive control of integrated room automation. Energy Build 58:250–262

    Google Scholar 

  • Lujano-Rojas JM, Monteiro C, Dufo-López R, Bernal-Agustín JL (2012) Optimum residential load management strategy for real time pricing (RTP) demand response programs. Energy Policy 45:671–679

    Google Scholar 

  • Ma Y, Anderson G, Borrelli F (2011) A distributed predictive control approach to building temperature regulation. In: American Control Conference (ACC11). California, USA, San Francisco, pp 2089–2094

    Google Scholar 

  • Miki M, Yoshida K, Hirano Y, Ikegami H (2013) Estimation of illuminance sensor positions and improvement of energy efficiency in the distributed control lighting system. In: IEEE 8th international Symposium on Applied Computational Intelligence and informatics (SACI), Timisoara, Romania, pp 137–142

    Google Scholar 

  • Moroşan PD, Bourdais R, Dumur D, Buisson J (2010a) Building temperature regulation using a distributed model predictive control. Energy Build 42:1445–1452

    Google Scholar 

  • Moroşan PD, Bourdais R, Dumur D, Buisson J (2010b) A dynamic horizon distributed predictive control approach for temperature regulation in multi-zone buildings. In: Proceedings 18th Mediterranean Conference on Control and Automation, MED’10. Marrakech, Morocco, pp 622–627

    Google Scholar 

  • Moroşan PD, Bourdais R, Dumur D, Buisson J (2011a) Distributed MPC for multizone temperature regulation with coupled constraints. In: Proceedings of the 18th IFAC World Congress, Milan, Italy

    Google Scholar 

  • Moroşan PD, Bourdais R, Dumur D, Buisson J (2011b) A distributed MPC strategy based on benders decomposition applied to multi-source multi-zone temperature regulation. J Process Control 21(5):729–737

    Google Scholar 

  • Oldewurtel F, Parisio A, Jones CN, Morari M, Gyalistras D, Gwerder M, Stauch V, Lehmann B, Wirth K (2010a) Energy efficient buildings climate control using stochastic model predictive control and weather predictions. In: Proceedings of the American Control Conference (ACC10), Baltimore, Maryland, USA

    Google Scholar 

  • Oldewurtel F, Ulbig A, Parisio A, Andersson G, Morari M (2010b) Reducing peak electricity demand in building climate control using real-time pricing and model predictive control. In: 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, pp 1927–1932

    Google Scholar 

  • Oldewurtel F, Ulbig A, Morari M, Andersson G (2011) Building control and storage management with dynamic tariffs for shaping demand response. In: 2nd IEEE PES International conference and exhibition on Innovative Smart Grid Technologies (ISGT Europe), pp 1–8

    Google Scholar 

  • Oldewurtel F, Parisio A, Jones CN, Gyalistras D, Gwerder M, Stauch V, Lehmann B, Morari M (2012) Use of model predictive control and weather forecasts for energy efficient building climate control. Energy Build 45:15–27

    Google Scholar 

  • Scherer HF, Pasamontes M, Guzmán JL, Álvarez JD, Camponogara E, Normey-Rico JE (2014) Efficient building energy management using distributed model predictive control. J Process Control 24:740–749

    Google Scholar 

  • Vinther K, Chandan V, Alleyne AG (2013) Learning/Repetitive Control for building systems with nearly periodic disturbances. In: Proceedings of the European Control Conference, ECC’13, Zürich, Switzerland

    Google Scholar 

  • Vrettos E, Lai K, Oldewurtel F, Andersson G (2013) Predictive control of buildings for demand response with dynamic day-ahead and real-time prices. In: Proceedings of the European Control Conference, ECC’13, Zürich, Switzerland

    Google Scholar 

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Correspondence to María del Mar Castilla .

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© 2014 Springer-Verlag London

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Castilla, M.d.M., Álvarez, J.D., Rodríguez Diaz, F., Berenguel, M. (2014). New Trends. In: Comfort Control in Buildings. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6347-3_6

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  • DOI: https://doi.org/10.1007/978-1-4471-6347-3_6

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6346-6

  • Online ISBN: 978-1-4471-6347-3

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