Intelligent building energy management system using rule sets

Doukas, Haris; Patlitzianas, Konstantinos D.; Iatropoulos, Konstantinos; Psarras, John

doi:10.1016/j.buildenv.2006.10.024

Cited by 280 publications

(130 citation statements)

References 17 publications

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“…is detected by M (1) which initiates the isolation procedure locally and its neighboring monitoring agents M s , M (2) and M (3) . By applying the distributed isolation process shown in Section III-B, the new non-zero isolation signals are generated: I s,1 , I (2,1) , and I (3,1) .…”

Section: Simulation Resultsmentioning

confidence: 99%

“…By applying the distributed isolation process shown in Section III-B, the new non-zero isolation signals are generated: I s,1 , I (2,1) , and I (3,1) . The dead-zone operator D (1) [.]…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The dead-zone operator D (1) [.] enables the estimation for the sensor faultf (1) in M (1) , followed by the accommodation of control agents C s , C (2) , C (3) , and C (1) to the new isolated sensor faults. Note that C s has been accommodated twice.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…To tackle this problem, the implementation of a fault tolerant control (FTC) scheme [1] vasiliki.reppa@centralesupelec.fr [3] and FTC [4], [5] techniques for HVAC systems following centralized approaches. However, in many practical applications involving large-scale buildings distributed FTC schemes are more effective since by handling the occurrence of faults locally and exchanging information between neighboring subsystems and local control agents, the delay in fault diagnosis and estimation can be reduced, facilitating the early compensation of faults effects.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed adaptive sensor fault tolerant control for smart buildings

Papadopoulos

Reppa

Polycarpou

et al. 2015

2015 54th IEEE Conference on Decision and Control (CDC)

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Abstract-This paper presents a model-based distributed fault-tolerant control (FTC) scheme with emphasis on compensating the effects of sensor faults in multi-zone heating, ventilating and air-conditioning (HVAC) systems. A bank of local adaptive FTC agents are designed to accommodate possible sensor faults in HVAC systems, modeled as a set of interconnected, nonlinear subsystems. In order to compensate the fault effects that may propagate in the neighboring subsystems, each local FTC utilizes the information generated by a local monitoring agent that diagnoses the sensor faults and performs an adaptive estimation of the isolated sensor faults. The local monitoring and control agents are allowed to exchange information with neighboring agents. Simulation results are used to illustrate the effectiveness of the proposed methodology applied to a sevenzone HVAC system.

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Section: Simulation Resultsmentioning

confidence: 99%

“…By applying the distributed isolation process shown in Section III-B, the new non-zero isolation signals are generated: I s,1 , I (2,1) , and I (3,1) . The dead-zone operator D (1) [.]…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed adaptive sensor fault tolerant control for smart buildings

Papadopoulos

Reppa

Polycarpou

et al. 2015

2015 54th IEEE Conference on Decision and Control (CDC)

View full text Add to dashboard Cite

show abstract

“…The construction technology of autonomous building also has a social matter because autonomy is the basis for sustainable development and functioning in harmony with the natural environment [9]. In the psychological point of view it is to ensure physical and economic safety by eliminating the threat of energy systems failures and minimizing the level of operating costs [8,[10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Indoor air in autonomous building

et al. 2018

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Abstract. The paper describes the use of renewable energy sources in an autonomous home in the aspect of sustainable development. The work contains an analysis of the results of the quality parameters of the internal microclimate (carbon dioxide concentration and relative humidity), mycological cleanliness of the enclosed spaces in the study was taken into account, the immediate proximity of the pond as a biological treatment plant, which is also an integral part of the ecosystem with a closed cycle of organic matter and influences independence energy of the tested object. Parameters of the microclimate were taken from the BMS (Building Management System) installed in the facility, while mycological purity tests were carried out using the sedimentation and collision method. Based on the conducted analyses, conclusions have been drawn that can be used in the design of autonomous objects.

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Integrated System of Mechanical Regulator and Electrical Circuitry on Triboelectric Energy Harvesting with Near‐Field Communication for Low Power Consumption

Hwang,

Kwon,

Kwon

et al. 2024

Advanced Energy Materials

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This paper presents an integrated power generation, conversion, and storage system with a temperature monitoring system, including passive near‐field communication (PGCS‐TMS‐pNFC), based on triboelectric nanogenerators (TENGs). The system consists of three parts; first, a mechanical regulation system (MRS) with kinematic design and multiphase control; second, a phase control rectifying circuit (PCRC) with a battery charging circuit (BCC); and third, a data processing and communication system (TMS‐pNFC) for low power consumption. The MRS, consisting of a reel spring and gear train, achieves a high‐frequency output exceeding 1000 Hz, and long‐lasting operation. PCRC provides stable and minimizing fluctuated DC output with a ripple effect as RMS voltage and current of 423 V and 46 µA, for 2 s, with a crest factor of 1.15 and 1.08. The PGCS‐TMS‐pNFC, harvesting building energy, such as opening and closing doors, is used to sense and store temperature data for more than 29 min, and the data is transmitted to the receiver via pNFC through smartphone tagging. Additionally, the PGCS with BCC is implemented on a bicycle frame to charge electronic devices while riding. This research underscores the integrated approach and practical applications of TENG technology that contribute to energy efficiency and sustainability in the lives.

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Intelligent building energy management system using rule sets

Cited by 280 publications

References 17 publications

Distributed adaptive sensor fault tolerant control for smart buildings

Distributed adaptive sensor fault tolerant control for smart buildings

Indoor air in autonomous building

Integrated System of Mechanical Regulator and Electrical Circuitry on Triboelectric Energy Harvesting with Near‐Field Communication for Low Power Consumption

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