Year 2017, Volume 1 , Issue 3, Pages 112 - 119 2017-12-13

A Short review on the use of renewable energies and model predictive control in buildings

Jose Maria Santos-Herrero [1] , Jose Manuel LOPEZ-GUEDE [2] , Ivan Flores [3]

This short review is based on an overview of the most recent works of the literature related to climatization in buildings. A total number of 40 relevant papers that have been published in the last years in prestigious international journals have been reviewed with the aim of showing the current state of the art in this field. It is very important as the new European regulations that will be applied in the next years in the construction of buildings, aiming to achieve nearly-Zero Energy Buildings (nZEBs), will require a multidisciplinary work in the different areas that affect the design of buildings. For this reason, it is relevant the envelope, the user behavior, the Heating, Ventilation and Air Conditioning applied (HVAC) and the influence of the meteorological conditions, among others. But apart from this, it would be very interesting any other alternative which helped to reach these targets. This article proposes the possibility of using Model Predictive Control (MPC) besides to Renewable Energies in order to optimize the energy management of air-conditioning in public and office buildings through a radiant floor by solar system and high-performance heat pump systems for their heating / cooling. In this paper, a short review is initially exposed where the different "Input data and information" are analyzed, to end up proposing an Operative for a Predictive Control using these Renewable Energies.

Building energy systems, Energy-efficient building, Model predictive control
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  • Oldewurtel, F., Parisio, A., Jones, C., Morari, M., Gyalistras, D., Gwerder, M., Stauch, V., Lehmann, B., Wirth, K., “Energy efficient building climate control using stochastic model predictive control and weather predictions”, American Control Conference, 5100–5105, 30 June – 2 July 2010.
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  • Sarbu, I., Sebarchievici, C., “Performance evaluation of radiator and radiant floor heating systems for an office room connected to a ground-coupled heat pump”, Energies, 9, 228 (2016).
  • Ruelens, F., Iacovella, S., Claessens, B.J., Belmans, R., “Learning agent for a heat-pump thermostat with a set-back strategy using model-free reinforcement learning”, Energies, 8, 8300-8318, 2015.
  • Tsai, H.L., “Design and Evaluation of a Photovoltaic / Thermal-Assisted Heat Pump Water Heating System”, Energies, 7, 3319-3338 (2014).
  • Susorova, I., Tabibzadeh, M., Rahman, A., Clack, H.L., Elnimeiri, M., “The effect of geometry factors on fenestration energy performance and energy savings in office buildings”, Energy and Buildings, 57, 6-13 (2013).
  • Lin, H-W., Hong, T., “On variations of space-heating energy use in office buildings”, Applied Energy, 111, 515-528 (2013).
  • Aste, N., Caputo, P., Buzzetti, M., Fattore, M., “Energy efficiency in buildings: What drives the investments? The case of Lombardy Region”, Sustainable Cities and Society, 20, 27-37 (2016).
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Subjects Engineering, Multidisciplinary
Journal Section Reviews

Author: Jose Maria Santos-Herrero
Institution: University of the Basque Country (UPV/EHU), ENEDI Research Group, Thermal Engineering Department
Country: Spain

Author: Jose Manuel LOPEZ-GUEDE (Primary Author)
Institution: University of the Basque Country (UPV/EHU), Systems and Automatic Control Department
Country: Spain

Author: Ivan Flores
Institution: University of the Basque Country (UPV/EHU), ENEDI Research Group, Thermal Engineering Department
Country: Spain


Publication Date : December 13, 2017

Vancouver Santos-herrero J , Lopez-guede J , Flores I . A Short review on the use of renewable energies and model predictive control in buildings. Journal of Energy Systems. 2017; 1(3): 112-119.