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Journal articles on the topic 'HVAC control system'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Hussain, Abadal Salam T., F. Malek, S. Faiz Ahmed, et al. "Operational Optimization of High Voltage Power Station Based Fuzzy Logic Intelligent Controller." Applied Mechanics and Materials 793 (September 2015): 100–104. http://dx.doi.org/10.4028/www.scientific.net/amm.793.100.

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This paper discusses the use of the intelligent microcontroller and also discusses the results from the simulation application of fuzzy logic theory to the control of the high voltage direct and alternation current (HVDC)& (HVAC) power station systems. The application considered their implementation in both low and high level control systems in HVDC& HVAC power station systems. The results for the fuzzy logic based controller shows many improvements compared to the conventional HVDC& HVAC control system. The fuzzy logic based controller concept was further successfully extended to

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2

Narayan, R. S., S. Mohan, and K. Sunitha. "Simulative Study into the Development of a Hybrid HVDC System Through a Comparative Research with HVAC: a Futuristic Approach." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1600–1604. http://dx.doi.org/10.48084/etasr.1192.

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High Voltage Direct Current Transmission (HVDC) is considered a better solution for bulk long distance transmissions. The increased use of HVDC is a result of its advantages over the HVAC systems and especially of its fault stability nature. A better solution is proposed by using a Voltage Source Controlled–HVDC as one of the infeed for the Multi-Infeed HVDC (MIDC or MI-HVDC) systems. The main advantage with the VSC converter is its flexible power control which enhances the stability of the MIDC systems. In this paper, the behavior of an HVDC system is compared with that of an HVAC during faul

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Lin, Chang-Ming, Hsin-Yu Liu, Ko-Ying Tseng, and Sheng-Fuu Lin. "Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control." Applied Sciences 9, no. 11 (2019): 2391. http://dx.doi.org/10.3390/app9112391.

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The objective of this study was to develop a heating, ventilation, and air conditioning (HVAC) system optimization control strategy involving fan coil unit (FCU) temperature control for energy conservation in chilled water systems to enhance the operating efficiency of HVAC systems. The proposed control strategy involves three techniques, which are described as follows. The first technique is an algorithm for dynamic FCU temperature setting, which enables the FCU temperature to be set in accordance with changes in the outdoor temperature to satisfy the indoor thermal comfort for occupants. The

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Goel, Supriya, Michael Rosenberg, Juan Gonzalez, and Jérémy Lerond. "Total System Performance Ratio—A Systems Based Approach for Evaluating HVAC System Efficiency." Energies 14, no. 16 (2021): 5108. http://dx.doi.org/10.3390/en14165108.

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The prescriptive path is the most widely used approach for commercial code compliance in the United States. Though easy to implement, prescriptive approaches do not typically discriminate between minimally compliant, high-performing and poorly performing HVAC system configurations. Hence, to meet aggressive energy and carbon reduction goals, it is clear that energy codes will need to transition from prescriptive to performance-based approaches, a transition that is riddled with several challenges. This paper discusses a new HVAC system-based performance approach (HVAC System Performance) which

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Bidadfar, Ali, Oscar Saborío-Romano, Jayachandra Naidu Sakamuri, Vladislav Akhmatov, Nicolaos Antonio Cutululis, and Poul Ejnar Sørensen. "Coordinated Control of HVDC and HVAC Power Transmission Systems Integrating a Large Offshore Wind Farm." Energies 12, no. 18 (2019): 3435. http://dx.doi.org/10.3390/en12183435.

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The development of efficient and reliable offshore electrical transmission infrastructure is a key factor in the proliferation of offshore wind farms (OWFs). Traditionally, high-voltage AC (HVAC) transmission has been used for OWFs. Recently, voltage-source-converter-based (VSC-based) high-voltage DC (VSC-HVDC) transmission technologies have also been considered due to their grid-forming capabilities. Diode-rectifier-based (DR-based) HVDC (DR-HVDC) transmission is also getting attention due to its increased reliability and reduced offshore platform footprint. Parallel operation of transmission

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T.P.So, Albert, W. L. Chan, T. T. Chow, and W. L. Tse. "New HVAC control by system identification." Building and Environment 30, no. 3 (1995): 349–57. http://dx.doi.org/10.1016/0360-1323(94)00063-x.

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Swaminathan, Siva, Ximan Wang, Bingyu Zhou, and Simone Baldi. "A University Building Test Case for Occupancy-Based Building Automation." Energies 11, no. 11 (2018): 3145. http://dx.doi.org/10.3390/en11113145.

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Heating, ventilation and air-conditioning (HVAC) units in buildings form a system-of-subsystems entity that must be accurately integrated and controlled by the building automation system to ensure the occupants’ comfort with reduced energy consumption. As control of HVACs involves a standardized hierarchy of high-level set-point control and low-level Proportional-Integral-Derivative (PID) controls, there is a need for overcoming current control fragmentation without disrupting the standard hierarchy. In this work, we propose a model-based approach to achieve these goals. In particular: the set

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Conceição, Eusébio, António Sousa, João Gomes, and António Ruano. "HVAC Systems Applied in University Buildings with Control Based on PMV and aPMV Indexes." Inventions 4, no. 1 (2019): 3. http://dx.doi.org/10.3390/inventions4010003.

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In this work, HVAC (Heating, Ventilation and Air Conditioning) systems applied in university buildings with control based on PMV (Predicted Mean Vote) and aPMV (adaptive Predicted Mean Vote) indexes are discussed. The building’s thermal behavior with complex topology, in transient thermal conditions, for summer and winter conditions is simulated by software. The university building is divided into 124 spaces, on two levels with an area of 5931 m2, and is composed of 201 transparent surfaces and 1740 opaque surfaces. There are 86 compartments equipped with HVAC systems. The simulation considers

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9

Toub, Mohamed, Chethan R. Reddy, Rush D. Robinett, and Mahdi Shahbakhti. "Integration and Optimal Control of MicroCSP with Building HVAC Systems: Review and Future Directions." Energies 14, no. 3 (2021): 730. http://dx.doi.org/10.3390/en14030730.

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Heating, ventilation, and air-conditioning (HVAC) systems are omnipresent in modern buildings and are responsible for a considerable share of consumed energy and the electricity bill in buildings. On the other hand, solar energy is abundant and could be used to support the building HVAC system through cogeneration of electricity and heat. Micro-scale concentrated solar power (MicroCSP) is a propitious solution for such applications that can be integrated into the building HVAC system to optimally provide both electricity and heat, on-demand via application of optimal control techniques. The us

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Xue, Guiyuan, Chen Wu, Wenjuan Niu, Xun Dou, Shizhen Wang, and Yadie Fu. "Flexible Control Strategy for Intelligent Building Air Conditioning System." E3S Web of Conferences 252 (2021): 01039. http://dx.doi.org/10.1051/e3sconf/202125201039.

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An improved optimization adjustment strategy for building heating ventilation and air conditioning (Heating Ventilation and Air Conditioning, HVAC) is proposed. The energy consumption model of building heating/refrigeration is established by using the instantaneous energy balance of heat, and then the optimal operation strategy of building HVAC energy based on weather forecast data is constructed in the range of user temperature comfort. Finally, the MATLAB and TRNSYS simulation techniques are used to verify the example. Simulation results show that the optimal operation strategy of building H

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11

Zhao, Jing, and Yu Shan. "A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System." Energies 13, no. 3 (2020): 530. http://dx.doi.org/10.3390/en13030530.

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The energy consumption of air-conditioning systems is a major part of energy consumption in buildings. Optimal control strategies have been increasingly developed in building heating, ventilation, and air-conditioning (HVAC) systems. In this paper, a load forecast fuzzy (LFF) control strategy was proposed. The predictive load based on the SVM method was used as the input parameter of the fuzzy controller to perform feedforward fuzzy control on the HVAC system. This control method was considered as an effective way to reduce energy consumption while ensuring indoor comfort, which can solve the

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Ettouil, Radhia, Karim Chabir, Dominique Sauter, and Mohamed Naceur Abdelkrim. "Synergetic Control for HVAC System Control and VAV Box Fault Compensation." International Journal of Applied Mathematics and Computer Science 29, no. 3 (2019): 555–70. http://dx.doi.org/10.2478/amcs-2019-0041.

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Abstract Synergetic control is proposed for heating, ventilating and air-conditioning (HVAC) system control. The synergetic controller is developed using the nonlinear model of the HVAC system. Occupancy information in each zone is required in the design of the controller which offers inherent comfort according to the occupancy in the zone. The stability of the building system using the proposed control is verified through the Lyapunov approach. It is also proved that the synergetic controller is robust to external disturbances. Then, synergetic theories are used to design a reconfigurable con

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Li, Jiaming, Geoff Poulton, Glenn Platt, Josh Wall, and Geoff James. "Dynamic zone modelling for HVAC system control." International Journal of Modelling, Identification and Control 9, no. 1/2 (2010): 5. http://dx.doi.org/10.1504/ijmic.2010.032354.

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14

Razmara, M., M. Maasoumy, M. Shahbakhti, and R. D. Robinett. "Optimal exergy control of building HVAC system." Applied Energy 156 (October 2015): 555–65. http://dx.doi.org/10.1016/j.apenergy.2015.07.051.

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15

Sun, Jian Min, and Chun Dong Zhang. "Development and Analysis on Energy Conservation Equipment and Control Technology of HVAC." Advanced Materials Research 424-425 (January 2012): 852–56. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.852.

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In building, the energy consumption of heating, ventilation and air conditioning (HVAC) is the largest, which accounts for forty to sixty percent of the total building consumption. So it is a key research to reduce the energy consumption of the HVAC system for saving building energy. This article describes a variety of energy conservation equipment of HVAC, and describes in detail the principles of each type of equipment. This article also analyzes the growing advanced control technologies for the HVAC system. In conclusion, HVAC equipment is developing in the direction of clean energy and ene

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Adegbenro, Akinkunmi, Michael Short, and Claudio Angione. "An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications." Energies 14, no. 8 (2021): 2078. http://dx.doi.org/10.3390/en14082078.

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Heating, ventilating, and air-conditioning (HVAC) systems account for a large percentage of energy consumption in buildings. Implementation of efficient optimisation and control mechanisms has been identified as one crucial way to help reduce and shift HVAC systems’ energy consumption to both save economic costs and foster improved integration with renewables. This has led to the development of various control techniques, some of which have produced promising results. However, very few of these control mechanisms have fully considered important factors such as electricity time of use (TOU) pri

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Namatēvs, Ivars. "Deep Reinforcement Learning on HVAC Control." Information Technology and Management Science 21 (December 14, 2018): 29–36. http://dx.doi.org/10.7250/itms-2018-0004.

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Due to increase of computing power and innovative approaches of an end-to-end reinforcement learning (RL) that feed data from high-dimensional sensory inputs, it is now plausible to combine RL and Deep learning to perform Smart Building Energy Control (SBEC) systems. Deep reinforcement learning (DRL) revolutionizes existing Q-learning algorithm to Deep Q-learning (DQL) profited by artificial neural networks. Deep Neural Network (DNN) is well trained to calculate the Q-function. To create comprehensive SBEC system it is crucial to choose appropriate mathematical background and benchmark the bes

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18

Usoro, P. B., I. C. Schick, and S. Negahdaripour. "An Innovation-Based Methodology for HVAC System Fault Detection." Journal of Dynamic Systems, Measurement, and Control 107, no. 4 (1985): 284–89. http://dx.doi.org/10.1115/1.3140737.

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Although Energy Management and Control Systems (EMCS) have since the early 1970’s contributed significantly to the reduction (20-40 percent) of energy use in buildings without sacrificing occupants’ comfort, their full capabilities have not been completely realized. This is in part due to their inability to quickly detect and compensate for failures in the Heating, Ventilation and Air Conditioning (HVAC) system. In fact, no matter how good the control scheme for the HVAC system might be, the presence of undetected faults can completely offset any expected savings. This paper presents a methodo

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Cvok, Ivan, Igor Ratković, and Joško Deur. "Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range." Energies 14, no. 4 (2021): 1203. http://dx.doi.org/10.3390/en14041203.

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Modern electric vehicle heating, ventilation, and air-conditioning (HVAC) systems operate in more efficient heat pump mode, thus, improving the driving range under cold ambient conditions. Coupling those HVAC systems with novel heating technologies such as infrared heating panels (IRP) results in a complex system with multiple actuators, which needs to be optimally coordinated to maximise the efficiency and comfort. The paper presents a multi-objective genetic algorithm-based control input allocation method, which relies on a multi-physical HVAC model and a CFD-evaluated cabin airflow distribu

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Wang, Shiqiang, Jianchun Xing, Ziyan Jiang, and Juelong Li. "Decentralized Optimization for a Novel Control Structure of HVAC System." Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/9402538.

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A decentralized control structure is introduced into the heating, ventilation, and air conditioning (HVAC) system to solve the high maintenance and labor cost problem in actual engineering. Based on this new control system, a decentralized optimization method is presented for sensor fault repair and optimal group control of HVAC equipment. Convergence property of the novel method is theoretically analyzed considering both convex and nonconvex systems with constraints. In this decentralized control system, traditional device is fitted with a control chip such that it becomes a smart device. The

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Son, Junseo, and Hyogon Kim. "Sensorless Air Flow Control in an HVAC System through Deep Learning." Applied Sciences 9, no. 16 (2019): 3293. http://dx.doi.org/10.3390/app9163293.

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Sensor-based intelligence is essential in future smart buildings, but the benefits of increasing the number of sensors come at a cost. First, purchasing the sensors themselves can incur non-negligible costs. Second, since the sensors need to be physically connected and integrated into the heating, ventilation, and air conditioning (HVAC) system, the complexity and the operating cost of the system are increased. Third, sensors require maintenance at additional costs. Therefore, we need to pursue the appropriate technology (AT) in terms of the number of sensors used. In the ideal scenario, we ca

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Nie, Zelin, Feng Gao, and Chao-Bo Yan. "A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency." Energies 14, no. 2 (2021): 400. http://dx.doi.org/10.3390/en14020400.

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Reducing the energy consumption of the heating, ventilation, and air conditioning (HVAC) systems while ensuring users’ comfort is of both academic and practical significance. However, the-state-of-the-art of the optimization model of the HVAC system is that either the thermal dynamic model is simplified as a linear model, or the optimization model of the HVAC system is single-timescale, which leads to heavy computation burden. To balance the practicality and the overhead of computation, in this paper, a multi-timescale bilinear model of HVAC systems is proposed. To guarantee the consistency of

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Chung, Samuel W., and Jeong Je Jo. "Pressure Control of HVAC System for Corona Virus." European Journal of Engineering Research and Science 5, no. 4 (2020): 462–68. http://dx.doi.org/10.24018/ejers.2020.5.4.1872.

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Corona Virus is deadly spread out to thousands of healthy people and so strong as to infect to the surrounding people after people. We must keep the deadly virus indoor as much as we can. How? We must not allow the indoor air already contaminated to leak out to the atmosphere, which will transmit to other people. The new virus is so strong and so fast to transmit, it will spread within a few seconds to thousands of people and became patients immediately. To solve the problem, we must build a pressure vessel to keep the virus inside the vessel and not to leak outside. It should be a negative pr

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Cheng, Chin-Chi, and Dasheng Lee. "Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis." Sensors 19, no. 5 (2019): 1131. http://dx.doi.org/10.3390/s19051131.

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In this study, information pertaining to the development of artificial intelligence (AI) technology for improving the performance of heating, ventilation, and air conditioning (HVAC) systems was collected. Among the 18 AI tools developed for HVAC control during the past 20 years, only three functions, including weather forecasting, optimization, and predictive controls, have become mainstream. Based on the presented data, the energy savings of HVAC systems that have AI functionality is less than those equipped with traditional energy management system (EMS) controlling techniques. This is beca

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Kardos, Tamás, and Dénes Nimród Kutasi. "Model-based Predictive Control of an HVAC System." Műszaki Tudományos Közlemények 11, no. 1 (2019): 101–4. http://dx.doi.org/10.33894/mtk-2019.11.21.

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Abstract This paper presents the application of two model-based predictive control (MPC) algorithms on the cooling system of an office building. The two strategies discussed are a simple MPC, and an adaptive MPC algorithm connected to a model predictor. The cooling method used represents the air-conditioning unit of an HVAC system. The temperature of the building’s three rooms is controlled with fan coil units, based on the reference temperature and with different constraints applied. Furthermore, the building model is affected by dynamically changing interior and exterior heat sources, which

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Choudhary, Shivam, and Pranav Balachander. "Smart HVAC System Control using RF and Zigbees." International Journal of Computer Applications 68, no. 24 (2013): 25–31. http://dx.doi.org/10.5120/11728-7378.

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Zhang Huaguang and Lilong Cai. "Decentralized nonlinear adaptive control of an HVAC system." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 32, no. 4 (2002): 493–98. http://dx.doi.org/10.1109/tsmcc.2002.807271.

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Liu, Zhe, Fangting Song, Ziyan Jiang, Xi Chen, and Xiaohong Guan. "Optimization based integrated control of building HVAC system." Building Simulation 7, no. 4 (2014): 375–87. http://dx.doi.org/10.1007/s12273-014-0161-z.

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Ning, M., and M. Zaheeruddin. "Neural Network Model-Based Adaptive Control of a VAV-HVAC&R System." International Journal of Air-Conditioning and Refrigeration 27, no. 01 (2019): 1950006. http://dx.doi.org/10.1142/s2010132519500068.

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A dynamic system model of a two-zone variable air volume heating, ventilation and air conditioning and refrigeration (VAV-HVAC&R) system is considered. The system model consists of two environmental zones, an HVAC system and a water-cooled vapor compression chiller. Five adaptive controllers were designed to achieve good tracking control of set points of zone air temperatures, discharge air temperature, chilled water supply temperature and static pressure of the VAV-HVAC&R system. The PI controller gains were updated online using adaptive neural networks and an auto-tuning algorithm. S

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Olama, Mohammed, Teja Kuruganti, James Nutaro, and Jin Dong. "Coordination and Control of Building HVAC Systems to Provide Frequency Regulation to the Electric Grid." Energies 11, no. 7 (2018): 1852. http://dx.doi.org/10.3390/en11071852.

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Buildings consume 73% of electricity produced in the United States and, currently, they are largely passive participants in the electric grid. However, the flexibility in building loads can be exploited to provide ancillary services to enhance the grid reliability. In this paper, we investigate two control strategies that allow Heating, Ventilation and Air-Conditioning (HVAC) systems in commercial and residential buildings to provide frequency regulation services to the grid while maintaining occupants comfort. The first optimal control strategy is based on model predictive control acting on a

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Ye, Zhijing, Fei Hu, Lin Zhang, Zhe Chu, and Zheng O'Neill. "A Low-Cost Experimental Testbed for Energy-Saving HVAC Control Based on Human Behavior Monitoring." International Journal of Cyber-Physical Systems 2, no. 1 (2020): 33–55. http://dx.doi.org/10.4018/ijcps.2020010103.

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Heating, ventilation, and cooling (HVAC) is the largest source of residential energy consumption. Occupancy sensors' data can be used for HVAC control since they indicate the number of people in the building. HVAC/sensor interactions show the essential features of a typical cyber-physical system (CPS). However, there are communication protocol incompatibility issues in the CPS interface between the sensors and the building HVAC server. Through either wired or wireless communication links, the server always needs to understand the communication schedule to receive occupant values from sensors.

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Han, Jinmog, Jongkyun Bae, Jihoon Jang, Jumi Baek, and Seung-Bok Leigh. "The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature." Sustainability 11, no. 19 (2019): 5417. http://dx.doi.org/10.3390/su11195417.

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Heating, ventilation, and air-conditioning (HVAC) systems usually have a set-point temperature control feature that uses the indoor dry-bulb temperature to control the indoor environment. However, an incorrect set-point temperature can reduce thermal comfort and result in unnecessary energy consumption. This study focuses on a derivation method for the optimal cooling set-point temperature of an HVAC system used in office buildings, considering the thermal characteristics and daily changes in the weather conditions, to establish a comfortable indoor environment and minimize unnecessary energy

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Federspiel, Clifford C., and Haruhiko Asada. "User-Adaptable Comfort Control for HVAC Systems." Journal of Dynamic Systems, Measurement, and Control 116, no. 3 (1994): 474–86. http://dx.doi.org/10.1115/1.2899242.

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This paper describes a new approach to the control of heating, ventilating, and air-conditioning (HVAC) systems. The fundamental concept of the new approach is that the controller learns to predict the actual thermal sensation of the specific occupant by tuning parameters of a model of the occupant’s thermal sensation. The parameters are adjusted with respect to thermal sensation ratings acquired from the specific occupant and measurements of physical variables that affect thermal sensation so that with time the model accurately reflects the thermal sensation of the specific occupant. From a l

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Imal, Muharrem. "Design and Implementation of Energy Efficiency in HVAC Systems Based on Robust PID Control for Industrial Applications." Journal of Sensors 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/954159.

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Energy efficiency in heating, ventilating, and air-conditioning (HVAC) systems is a primary concern in process projects, since the energy consumption has the highest percentage in HVAC for all processes. Without sacrifice of thermal comfort, to reset the suitable operating parameters, such as the humidity and air temperature, would have energy saving with immediate effect. In this paper, the simulation-optimization approach described the effective energy efficiency for HVAC systems which are used in industrial process. Due to the complex relationship of the HVAC system parameters, it is necess

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Cvok, Ivan, Igor Ratković, and Joško Deur. "Optimisation of Control Input Allocation Maps for Electric Vehicle Heat Pump-based Cabin Heating Systems." Energies 13, no. 19 (2020): 5131. http://dx.doi.org/10.3390/en13195131.

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The heating, ventilation and air conditioning (HVAC) system negatively affects the electric vehicle (EV) driving range, especially under cold ambient conditions. Modern HVAC systems based on the vapour-compression cycle can be rearranged to operate in the heat pump mode to improve the overall system efficiency compared to conventional electrical/resistive heaters. Since such an HVAC system is typically equipped with multiple actuators (compressor, pumps, fans, valves), with the majority of them being controlled in open loop, an optimisation-based control input allocation is necessary to achiev

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Carli, Raffaele, Graziana Cavone, Sarah Ben Othman, and Mariagrazia Dotoli. "IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings." Sensors 20, no. 3 (2020): 781. http://dx.doi.org/10.3390/s20030781.

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The efficient management of Heating Ventilation and Air Conditioning (HVAC) systems in smart buildings is one of the main applications of the Internet of Things (IoT) paradigm. In this paper we propose an IoT based architecture for the implementation of Model Predictive Control (MPC) of HVAC systems in real environments. The considered MPC algorithm optimizes on line, in a closed-loop control fashion, both the indoor thermal comfort and the related energy consumption for a single zone environment. Thanks to the proposed IoT based architecture, the sensing, control, and actuating subsystems are

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Dehestani, Davood, Jafar Madadnia, Homa Koosha, and Fahimeh Eftekhari. "Comprehensive Analysis for Air Supply Fan Faults Based on HVAC Mathematical Model." Advanced Materials Research 452-453 (January 2012): 460–68. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.460.

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Due to the growing demand on high efficient heat ventilation and air conditioning (HVAC) systems, how to improve the efficiency of HVAC system regarding reduces energy consumption of system has become one of the critical issues. Reports indicate that efficiency and availability are heavily dependent upon high reliability and maintainability. Recently, the concept of e-maintenance has been introduced to reduce the cost of maintenance. In e-maintenance systems, the fault detection and isolation (FDI) system plays a crucial role for identifying failures. Finding healthy HVAC source as the referen

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Reed, Thomas, and William Brader. "Availability Analyses of HVAC Systems In Cleanrooms and Other Critical Applications." Journal of the IEST 32, no. 3 (1989): 25–30. http://dx.doi.org/10.17764/jiet.1.32.3.1853ml1r9jp4447t.

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The operational and functional criteria of heating, ventilation, and air conditioning (HVAC) systems and associated control systems for cleanrooms and other similar critical applications impose very demanding requirements on both the installed systems and the system designers. Designers and facility operators often compromise original reliability criteria due to rule-of-thumb decision making processes. These processes do not usually include a truly determinant method of evaluating, in a quantitative manner, the advantages and disadvantages of alternative HVAC and control systems with respect t

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Ivanova, Donka, Nikolay Valov, and Martin Deyanov. "Application of the genetic algorithm for cascade control of a HVAC system." MATEC Web of Conferences 292 (2019): 01064. http://dx.doi.org/10.1051/matecconf/201929201064.

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In this article the application of genetic algorithm for tuning of HVAC cascade system is proposed. The tuning procedure for a cascade system is very time-consuming and practice shows that additional controller tuning is needed when classical method is used. The main problem in classical method is the interconnection between the parameters of the two controllers. The proposed optimal tuning procedure overcomes the disadvantages. It is based on the following criteria: minimum integral square error, minimum settling time and minimum overshoot. The best process quality is achieved with PI control

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Ding, Junwei, Chuck Wah Yu, and Shi-Jie Cao. "HVAC systems for environmental control to minimize the COVID-19 infection." Indoor and Built Environment 29, no. 9 (2020): 1195–201. http://dx.doi.org/10.1177/1420326x20951968.

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The outbreak of pneumonia caused by 2019 Novel Coronavirus arises significant concern for virus transmission and control. The control of the indoor environment or public-enclosed environment is crucial to reduce the risk of infection. Heating, ventilation, air-conditioning (HVAC) systems are used to create a healthy, thermal-comfort indoor environments. Thus, the rational use of HVAC systems is of great importance for the environmental control to reduce infection risk and to improve human wellbeing in the pandemic. In order to satisfy the requirement of better healthy environment and more ther

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Chen, Yimin, Guanjing Lin, Eliot Crowe, and Jessica Granderson. "Development of a Unified Taxonomy for HVAC System Faults." Energies 14, no. 17 (2021): 5581. http://dx.doi.org/10.3390/en14175581.

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Detecting and diagnosing HVAC faults is critical for maintaining building operation performance, reducing energy waste, and ensuring indoor comfort. An increasing deployment of commercial fault detection and diagnostics (FDD) software tools in commercial buildings in the past decade has significantly increased buildings’ operational reliability and reduced energy consumption. A massive amount of data has been generated by the FDD software tools. However, efficiently utilizing FDD data for ‘big data’ analytics, algorithm improvement, and other data-driven applications is challenging because the

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Huang, Chun-E., Chunwang Li, and Xiaojun Ma. "Active-Disturbance-Rejection-Control for Temperature Control of the HVAC System." Intelligent Control and Automation 09, no. 01 (2018): 1–9. http://dx.doi.org/10.4236/ica.2018.91001.

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Hong, Goopyo, Chul Kim, and Jun Hong. "Energy Conservation Potential of Economizer Controls Using Optimal Outdoor Air Fraction Based on Field Study." Energies 13, no. 19 (2020): 5038. http://dx.doi.org/10.3390/en13195038.

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In commercial buildings, HVAC systems are becoming a primary driver of energy consumption, which already account for 45% of the total building energy consumption. In the previous literature, researchers have studied several energy conservation measures to reduce HVAC system energy consumption. One of the effective ways is an economizer in air-handling units. Therefore, this study quantified the impact of the outdoor air fraction by economizer control type in cooling system loads based on actual air-handling unit operation data in a hospital. The optimal outdoor air fraction and energy performa

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Fasolo, Paul S., and Dale E. Seborg. "Monitoring and Fault Detection for an HVAC Control System." IFAC Proceedings Volumes 27, no. 2 (1994): 535–40. http://dx.doi.org/10.1016/s1474-6670(17)48205-x.

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Kardos, Tamás, and Dénes Nimród Kutasi. "Modelling and Model-Based Control of an HVAC System." Műszaki Tudományos Közlemények 10, no. 1 (2019): 25–30. http://dx.doi.org/10.33894/mtk-2019.10.03.

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Abstract An HVAC system contains heating, ventilation and air conditioning equipment used in office or industrial buildings. The goal of this research is to design a controller for the process of cooling an office building that is made up of three rooms. The desired room temperature can be achieved by controlling the fans making up the fan coil units and the cooling medium’s temperature. By these means the building connected to the electrical grid becomes a smart office. The used building model includes several dynamically changing interior and exterior heat sources affecting the inner climate

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Dhar, Narendra Kumar, Nishchal Kumar Verma, and Laxmidhar Behera. "Adaptive Critic-Based Event-Triggered Control for HVAC System." IEEE Transactions on Industrial Informatics 14, no. 1 (2018): 178–88. http://dx.doi.org/10.1109/tii.2017.2725899.

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Bengea, Sorin C., Pengfei Li, Soumik Sarkar, et al. "Fault-tolerant optimal control of a building HVAC system." Science and Technology for the Built Environment 21, no. 6 (2015): 734–51. http://dx.doi.org/10.1080/23744731.2015.1057085.

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Aswani, Anil, Neal Master, Jay Taneja, Andrew Krioukov, David Culler, and Claire Tomlin. "Energy-Efficient Building HVAC Control Using Hybrid System LBMPC." IFAC Proceedings Volumes 45, no. 17 (2012): 496–501. http://dx.doi.org/10.3182/20120823-5-nl-3013.00069.

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Fasolo, Paul, and Dale Seborg. "Monitoring and Fault Detection for an HVAC Control System." HVAC&R Research 1, no. 3 (1995): 177–93. http://dx.doi.org/10.1080/10789669.1995.10391318.

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Tashtoush, Bourhan, M. Molhim, and M. Al-Rousan. "Dynamic model of an HVAC system for control analysis." Energy 30, no. 10 (2005): 1729–45. http://dx.doi.org/10.1016/j.energy.2004.10.004.

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