Fuzzy and feedforward control of an hybrid thermal energy storage system

LeBreux, Marc; Lacroix, Marcel; Lachiver, G.

doi:10.1016/j.enbuild.2006.02.005

Cited by 19 publications

(7 citation statements)

References 14 publications

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“…G LOBAL warming and worries about reliable future energy supply have arisen a substantial interest in clean and renewable energy. Especially, last two decades have witnessed a substantial increase in geothermal energy use through GCHPs [1]- [8] and GCHP systems with supplementary devices (HyGCHPs) [9]- [16]. Based on the fact that buildings account for approximately 40% of total energy use in Europe [18] and similar percentages in the rest of the world, development of energy-efficient buildings and heating and cooling technologies together with appropriate control strategies is required.…”

Section: Nomenclature C Ementioning

confidence: 99%

Optimal Control Approaches for Analysis of Energy Use Minimization of Hybrid Ground-Coupled Heat Pump Systems

Atam

Patteeuw

Antonov

et al. 2015

IEEE Trans. Contr. Syst. Technol.

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In this paper, we present a prediction-based dynamic programming (DP) control approach, a nonlinear model predictive control (NMPC) approach, and a linear optimal control (LOC) approach to analyze the minimization of the total energy use of a hybrid ground-coupled heat pump (hp) system (incorporating a ground-coupled hp, a gas boiler, a passive cooler, and an active chiller) under operational constraints. A large-scale emulator model (based on finite-volume method and the equivalent-diameter approach) is used for the borehole system and for the assessment of different control algorithms. A nonlinear autoregressive exogenous model is identified from the inputoutput data generated by the emulator model to be used in a DP-based controller. Since DP is a global optimal control method, it was used as a reference for performance assessment. Next, a state-space reduced-order control-oriented model with a larger sampling time is obtained from the emulator model using the so-called proper orthogonal decomposition model reduction technique. This model is used in an NMPC algorithm to see how much NMPC is suboptimal with respect to the DP in terms of annual energy use minimization. Finally, a series of LOCs based on constant hp coefficients of performance is tested to see how much the system performance deteriorates. The control algorithms are used for the satisfaction of heating-cooling demands of three types of buildings: 1) heating dominated; 2) cooling dominated; and 3) thermally balanced. The effects of constraining thermal buildup/depletion of ground, variable electricity prices, and marginal violation of thermal comfort on the performance of the different controllers applied are also separately analyzed.

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Section: Nomenclature C Ementioning

confidence: 99%

Optimal Control Approaches for Analysis of Energy Use Minimization of Hybrid Ground-Coupled Heat Pump Systems

Atam

Patteeuw

Antonov

et al. 2015

IEEE Trans. Contr. Syst. Technol.

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“…Control measures should be taken early enough in order to compensate for disturbances. Feed-forward (LeBreux et al, 2006) and predictive control (Chen, 2001(Chen, , 2002Cho and Zaheer-Uddin, 2003) which utilize weather forecasting or outdoor temperature compensation (Zaheer-Uddin et al, 1997;Rekstad et al, 2003) seem to be successful. Feedforward and predictive control both relies on inherent knowledge of the heating process and its dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…These are called lumped parameter models. Many authors studying floor heating analysis or control apply such modeling techniques (Zaheer-Uddin et al, 1997;Bakos, 2000;Bozkir and Canbazoglu, 2004;Rekstad et al, 2003;LeBreux et al, 2006). This category also includes analogical models based on an electrical RC network (Fraisse, et al, 2002;Weber and Johanneson, 2005).…”

Section: Introductionmentioning

confidence: 99%

A Differential-difference Approach for the Modeling of Electrical Floor Heating Systems

Pakanen

Saastamoinen

2009

Journal of Building Physics

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During recent years, many papers have been published concerning dimensioning, analysis, and control of floor heating. A central issue in all these activities is to create a suitable model, which explains the thermal behavior of the floor and its environment. The article introduces a differential-difference approach, which is believed to be new in floor heating modeling. The proposed method is applied in a slab, a semi-infinite and infinite solid, which are connected to electrical heating. The results are compared with the corresponding analytical solution. This also concerns the proportional heating control applied in the infinite solid. The comparison reveals the characteristic features of the differential-difference solution, which are briefly discussed. The first results are encouraging and show good model behavior.

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“…The design of PI controller was easy but the overshoot offered by PI controller was very high which led to the need for designing intelligent controllers. Hence fuzzy logic controller was designed, which will reduce the overshoot, oscillations and Integral Absolute Error (IAE) [4].…”

Section: Gain Scheduling Pi Controllermentioning

confidence: 99%