Experimental study of group thermal comfort model

Zhao, Qianchuan; Cheng, Zhiqiang; Wang, Fulin; Jiang, Yi; Ding, Jinlei

doi:10.1109/coase.2014.6899458

Cited by 13 publications

(10 citation statements)

References 8 publications

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“…A singularly perturbed system is represented by (15) and (16). As Δ ↑ =⇒ ↓, leading to steady state condition for temperature evolution.…”

Section: Singular Perturbation Solutionmentioning

confidence: 99%

“…As Δ ↑ =⇒ ↓, leading to steady state condition for temperature evolution. We establish the global asymptotic stability of our system as given by equations (15) and (16) in the next section.…”

Section: Singular Perturbation Solutionmentioning

confidence: 99%

“…The system evolution is governed by the set of equations (15) and (16). In equation (16) the coefficient DR −1 D T is positive definite which makes the unforced system (with u = 0) exponentially stable.…”

Section: Stability Analysismentioning

confidence: 99%

“…Equation (29) is obtained using (16) and the definition of W (u, T) in (18). Equation (30) is obtained using (18) as well as (15) (12) and (26).…”

Section: Stability Analysismentioning

confidence: 99%

“…Some prior work [15] have tried to link the cost of building environment control to the occupant efficiency, health and satisfaction. Other recent work [16,17] have evaluated thermal complaint behavior using one-class classifier. In a recent work [18], Jazizadeh et al implemented a complementary control strategy for the HVAC control based on a fuzzy predictive model to learn occupant comfort profiles.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Singular Perturbation Method for Smart Building Temperature Control Using Occupant Feedback

Gupta

Kar

Mishra

et al. 2017

Asian Journal of Control

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In this work we propose a framework for incorporating occupant feedback towards temperature control of multi-occupant spaces, and analyze it using singular perturbation theory. Such a system would typically have to accommodate occupants with different temperature preferences, and incorporate that with thermal correlation among multiple zones to obtain optimal control for minimization of occupant discomfort and energy cost. In current practice, an acceptable temperature set point for the occupancy level of the zone is estimated, and the control law is designed to maintain temperature at the corresponding set point irrespective of the changes in occupancy and the preferences of multiple occupants. Proposed algorithm incorporates active occupant feedback to minimize aggregate user discomfort and total energy cost. Occupant binary feedback in the form of hot/cold or thermal comfort preference input is used by the control algorithm. The control algorithm also takes the energy cost into account, trading it off optimally with the aggregate occupant discomfort. For convergence to the optimal, sufficient separation between the occupant feedback frequency and the temperature dynamics of system is necessary; in absence of which, the occupant feedback provided do not correctly reflect the effect of current control input value on occupant discomfort. Under sufficient time scale separation, using singular perturbation theory, we establish the stability condition of the system and show convergence of the proposed solution to the desired temperature that minimizes energy cost plus occupant discomfort. The occupants are only assumed to be rational in that they choose their own comfort range to minimize individual thermal discomfort. Optimization for a multi-zone building also takes into account the thermal correlation among different zones. Simulation study with parameters based on our test facility, and experimental study conducted in the same building demonstrates performance of the algorithm under different occupancy and ambient conditions.

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“…A singularly perturbed system is represented by (15) and (16). As Δ ↑ =⇒ ↓, leading to steady state condition for temperature evolution.…”

Section: Singular Perturbation Solutionmentioning

confidence: 99%

Section: Singular Perturbation Solutionmentioning

confidence: 99%

Section: Stability Analysismentioning

confidence: 99%

“…Equation (29) is obtained using (16) and the definition of W (u, T) in (18). Equation (30) is obtained using (18) as well as (15) (12) and (26).…”

Section: Stability Analysismentioning

confidence: 99%