Relevant bibliographies by topics / HVAC control system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'HVAC control system'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "HVAC control system"

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Hussain, Abadal Salam T., F. Malek, S. Faiz Ahmed, Taha A. Taha, Shouket A. Ahmed, Mardianaliza Othman, Muhammad Irwanto Misrun, Gomesh Nair Shasidharan, and Mohd Irwan Yusoff. "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 high level control of optimization problems such as the power swings. Based on simulation results, HVDC and HVAC breaker design are online protection against unwanted incidents happening to the system.
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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 (June 12, 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 faults. A Hybrid HVDC system that includes a LCC as a rectifier unit and a VSC converter as the inverter is being proposed. It is considered suitable for MIDC systems and particularly for supplying a weak AC system. The performance of the system during steady state and transient conditions for all the proposed topologies including HVDC, HVAC and Hybrid HVDC are studied in MATLAB/SIMULINK. All of the proposed control strategies are evaluated via a series of simulation case studies.
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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 (June 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 second technique is an approach for determining the indoor cold air demand, which collects the set FCU temperature and converts it to the refrigeration ton required for the chilled water system; this serves as the control target for ensuring optimal HVAC operation. The third technique is a genetic algorithm for calculating the minimum energy consumption for an HVAC system. The genetic algorithm determines the pump operating frequency associated with minimum energy consumption per refrigeration ton to control energy conservation. To demonstrate the effectiveness of the proposed HVAC system optimization control strategy combining FCU temperature control, this study conducted a field experiment. The results revealed that the proposed strategy enabled an HVAC system to achieve 39.71% energy conservation compared with an HVAC system operating at full load.
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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 (August 19, 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 provides a simpler solution to HVAV system evaluation compared to whole building performance, while keeping tradeoffs limited to specific building systems. The Total System Performance Ratio (TSPR) is a metric for evaluation of overall system efficiency instead of individual component efficiency, a solution which could also eventually facilitate the transition to a 100% performance-based code structure. TSPR is a ratio that compares the annual heating and cooling load of a building to the annual energy consumed by the building’s HVAC system. A calculation software tool has been developed for determining a building’s TSPR. Already incorporated into the 2018 Washington State Energy Code, this approach is also being evaluated by ASHRAE Standard 90.l Project Committee and has the potential to provide a comprehensive performance-based approach for HVAC system evaluation and analysis.
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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 (September 6, 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 systems using such technologies can be expected in the near future as new OWFs are planned in the vicinity of existing ones, with connections to more than one onshore AC system. This work addresses the control and parallel operation of three transmission links: VSC-HVDC, DR-HVDC, and HVAC, connecting a large OWF (cluster) to three different onshore AC systems. The HVAC link forms the offshore AC grid, while the diode rectifier and the wind farm are synchronized to this grid voltage. The offshore HVDC converter can operate in grid-following or grid-forming mode, depending on the requirement. The contributions of this paper are threefold. (1) Novel DR- and VSC-HVDC control methods are proposed for the parallel operation of the three transmission systems. (2) An effective control method for the offshore converter of VSC-HVDC is proposed such that it can effectively operate as either a grid-following or a grid-forming converter. (3) A novel phase-locked loop (PLL) control for VSC-HVDC is proposed for the easy transition from the grid-following to the grid-forming converter in case the HVAC link trips. Dynamic simulations in PSCAD validate the ability of the proposed controllers to ride through faults and transition between grid-following and grid-forming operation.
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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 (July 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 (November 14, 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-point control is based on a predictive HVAC thermal model, and aims at optimizing thermal comfort with reduced energy consumption; the standard low-level PID controllers are auto-tuned based on simulations of the HVAC thermal model, and aims at good tracking of the set points. One benefit of such control structure is that the PID dynamics are included in the predictive optimization: in this way, we are able to account for tracking transients, which are particularly useful if the HVAC is switched on and off depending on occupancy patterns. Experimental and simulation validation via a three-room test case at the Delft University of Technology shows the potential for a high degree of comfort while also reducing energy consumption.
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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 (January 15, 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 the actual occupation and ventilation cycles, the external environmental variables, the internal HVAC system and the occupants’ and building’s characteristics. In this work, a new HVAC control system, designed to simultaneously obtain better occupants’ thermal comfort levels according to category C of ISO 7730 with less energy consumption, is presented. This new HVAC system with aPMV index control is numerically implemented, and its performance is compared with the performance of the same HVAC system with the usual PMV index control. Both HVAC control systems turn on only when the PMV index or the aPMV index reaches values below −0.7, in winter conditions, and when the PMV index or the aPMV index reaches values above +0.7, in summer conditions. In accordance with the results obtained, the HVAC system guarantees negative PMV and aPMV indexes in winter conditions and positive PMV and aPMV indexes in summer conditions. The energy consumption level is higher in winter conditions than in summer conditions for compartments with shading, and it is lower in winter conditions than in summer conditions for compartments exposed to direct solar radiation. The consumption level is higher using the PMV control than with the aPMV control. Air temperature, in accordance with Portuguese standards, is higher than 20 °C in winter conditions and lower than 27 °C in summer conditions. In Mediterranean climates, the HVAC systems with aPMV control provide better occupants’ thermal comfort levels and less energy consumption than the HVAC system with PMV control.
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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 (January 30, 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 use of thermal energy storage (TES) in MicroCSP adds dispatching capabilities to the MicroCSP energy production that will assist in optimal energy management in buildings. This work presents a review of the existing contributions on the combination of MicroCSP and HVAC systems in buildings and how it compares to other thermal-assisted HVAC applications. Different topologies and architectures for the integration of MicroCSP and building HVAC systems are proposed, and the components of standard MicroCSP systems with their control-oriented models are explained. Furthermore, this paper details the different control strategies to optimally manage the energy flow, both electrical and thermal, from the solar field to the building HVAC system to minimize energy consumption and/or operational cost.
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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 HVAC energy based on weather forecast data can not only significantly reduce the cost of energy use, but also effectively improve the absorption capacity of renewable energy on the building side.
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Dissertations / Theses on the topic "HVAC control system"

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Unruh, Cassie, Austin Johnson, and Lisa Nordman. "Residential Telemetry Applications for HVAC Control." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595643.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada
Much of the energy consumed in developed countries is for residential heating and cooling. Substantial savings are possible if one can monitor the indoor environment at many locations, and then actively control the heating, ventilation and air conditioning (HVAC) system. This project uses a wireless sensor array and dedicated microcontroller system to control a residential HVAC system. A low data rate, ad-hoc network of sensors is deployed throughout a residence, with the data sent to a central controller. A graphical user interface allows the resident to monitor the system status, and to set parameters.
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Van, Heerden Eugene. "Integrated simulation of building thermal performance, HVAC system and control." Thesis, University of Pretoria, 1997. http://hdl.handle.net/2263/37304.

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Practicing engineers need an integrated building, HVAC and control simulation tool for optimum HVAC design and retrofit. Various tools are available to the researchers, but these are not appropriate for the consulting engineer. To provide the engineer with a tool which can be used for typical HVAC projects, new models for building, HVAC and control simulation are introduced and integrated in a user-friendly, quick-to-use tool. The new thermal model for buildings is based on a transfer matrix description of the heat transfer through the building shell. It makes provision for the various heat flow paths that make up the overall heat flow through the building structure. The model has been extensively verified with one hundred and three case studies. These case studies were conducted on a variety of buildings, ranging from a 4m2 bathroom, to a 7755 m2 factory building. Eight of the case studies were conducted independently in the Negev Desert in Israel. The thermal model is also used in a program that was custom-made for the AGREMENT Board (certification board for the thermal performance of new low-cost housing projects). Extensions to the standard tool were introduced to predict the potential for condensation on the various surfaces. Standard user patterns were incorporated in the program so that all the buildings are evaluated on the same basis. In the second part of this study the implementation of integrated simulation is discussed. A solution algorithm, based on the Tarjan depth first-search algorithm, was implemented. This ensures that the minimum number of variables are identified. A quasi-Newton solution algorithm is used to solve the resultant simultaneous equations. Various extensions to the HVAC and control models and simulation originally suggested by Rousseau [1] were implemented. Firstly, the steady-state models were extended by using a simplified time-constant approach to emulate the dynamic response of the equipment. Secondly, a C02 model for the building zone was implemented. Thirdly, the partload performance of particular equipment was implemented. Further extensions to the simulation tool were implemented so that energy management strategies could be simulated. A detailed discussion of the implications of the energy management systems was given and the benefits of using these strategies were clearly illustrated, in this study. Finally, the simulation tool was verified by three case studies. The buildings used for the verification ranged from a five-storeyed office and laboratory building, to a domestic dwelling. The energy consumption and the dynamics of the HVAC systems could be predicted sufficiently accurately to warrant the use of the tool for future building retrofit studies
Thesis (PhD)--University of Pretoria, 1997.
gm2014
Mechanical and Aeronautical Engineering
unrestricted
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Ling, Keck-Voon. "The application of predictive control." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306715.

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Elliott, Matthew Stuart. "Decentralized model predictive control of a multiple evaporator HVAC system." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3001.

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Nassif, Nabil. "Optimization of HVAC control system strategy using two-objective genetic algorithm." Mémoire, Montréal : École de technologie supérieure, 2005. http://wwwlib.umi.com/cr/etsmtl/fullcit?pNR03069.

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Thèse (Ph.D.)-- École de technologie supérieure, Montréal, 2005.
"Thesis presented to the École de technologie supérieure in partial fulfiliment [i.e. fulfillment] of the thesis requirement for the degree of philosophiae doctor in engineering". Bibliogr.: f. [178]-184. Également disponible en version électronique.
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Mohamad, Mohamad Kheir. "Control System of Building using Modelling and Simulation." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-234236.

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Udržovaní vnitřních klimatických podmínek tak, aby byly v souladu s tepelným komfortem lidí, je klíčovou otázkou pro řízení systémů vytápění, větrání a klimatizace (HVAC systémy). Počítačové modelování nabízí virtuální prostředí pro simulaci vnitřních i vnějších podmínek a s jeho pomocí je možné navrhnout řešení pro řízení technických zařízení budov. Tento proces vyžaduje pochopení těchto prostředí z fyzikálního a matematického hlediska tak, aby bylo možné fyzikální procesy daných prostředí prezentovat pomocí vztahů a rovnic odrážejících jejích různé parametry. Simulační proces dále nabízí možnost popsat interakci mezi těmito modely a jejich chování v čase, dává výchozí reprezentace těchto prostředí, a umožňuje pochopení jejich chování před přenosem těchto modelů do reálných aplikací. Simulace umožnuje respektovat, a ovlivňovat jejích chování přes kontrolu navržených modelů. MATLAB/SIMULINK software má pokročilé schopnosti pro simulace systémů HVAC, a to vytvořením širokého pracovního prostředí pro designéry v závislosti na vývoji matematických modelů a jejích simulace pomocí SIMULINK, aby výsledky mohly být slučitelné s požadovanými výstupy. Tato dizertační práce se zaměřuje na proces modelování vnitřního prostředí v budovách, aby bylo možné pochopit chování klíčových parametrů, které mají vliv na tepelnou pohodu obyvatel či uživatelů, matematické modely vnitřního prostředí posluchárny byly navržené speciálně pro tři základní parametry: koncentrace oxidu uhličitého, teplota vzduchu a relativní vlhkost. Změny chování těchto parametrů v průběhu času jsou simulovány a poté strategie kontroly návrhu těchto parametrů může je udržet ve vhodných rozmezích komfortních pro obyvatele či uživatele, i když změny venkovního klimatu, tepelné a hmotnostní zatíží interiér. Pomocí matematických metod, některé optimalizační metody byly navrženy za účelem snížení spotřeby energie bez vlivu na mezní hodnoty těchto parametrů. Proces validace modelu se provádí porovnáním výsledků s reálnými výstupy monitoringu Honeywell Enterprise Buildings Integrator systémem (EBI) nainstalován v areálu univerzity.
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Pietruschka, Dirk. "Model based control optimisation of renewable energy based HVAC Systems." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4022.

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During the last 10 years solar cooling systems attracted more and more interest not only in the research area but also on a private and commercial level. Several demonstration plants have been installed in different European countries and first companies started to commercialise also small scale absorption cooling machines. However, not all of the installed systems operate efficiently and some are, from the primary energy point of view, even worse than conventional systems with a compression chiller. The main reason for this is a poor system design combined with suboptimal control. Often several non optimised components, each separately controlled, are put together to form a ‘cooling system’. To overcome these drawbacks several attempts are made within IEA task 38 (International Energy Agency Solar Heating and Cooling Programme) to improve the system design through optimised design guidelines which are supported by simulation based design tools. Furthermore, guidelines for an optimised control of different systems are developed. In parallel several companies like the SolarNext AG in Rimsting, Germany started the development of solar cooling kits with optimised components and optimised system controllers. To support this process the following contributions are made within the present work: - For the design and dimensioning of solar driven absorption cooling systems a detailed and structured simulation based analysis highlights the main influencing factors on the required solar system size to reach a defined solar fraction on the overall heating energy demand of the chiller. These results offer useful guidelines for an energy and cost efficient system design. - Detailed system simulations of an installed solar cooling system focus on the influence of the system configuration, control strategy and system component control on the overall primary energy efficiency. From the results found a detailed set of clear recommendations for highly energy efficient system configurations and control of solar driven absorption cooling systems is provided. - For optimised control of open desiccant evaporative cooling systems (DEC) an innovative model based system controller is developed and presented. This controller consists of an electricity optimised sequence controller which is assisted by a primary energy optimisation tool. The optimisation tool is based on simplified simulation models and is intended to be operated as an online tool which evaluates continuously the optimum operation mode of the DEC system to ensure high primary energy efficiency of the system. Tests of the controller in the simulation environment showed that compared to a system with energy optimised standard control the innovative model based system controller can further improve the primary energy efficiency by 19 %.
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Gibson, J. D., Dallan Porter, and William Goble. "Automation and control of the MMT thermal system." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/622546.

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This study investigates the software automation and control framework for the MMT thermal system. Thermal-related effects on observing and telescope behavior have been considered during the entire software development process. Regression analysis of telescope and observatory subsystem data is used to characterize and model these thermal-related effects. The regression models help predict expected changes in focus and overall astronomical seeing that result from temperature variations within the telescope structure, within the primary mirror glass, and between the primary mirror glass and adjacent air (i.e., mirror seeing). This discussion is followed by a description of ongoing upgrades to the heating, ventilation and air conditioning (HVAC) system and the associated software controls. The improvements of the MMT thermal system have two objectives: 1) to provide air conditioning capabilities for the MMT facilities, and 2) to modernize and enhance the primary mirror (M1) ventilation system. The HVAC upgrade necessitates changes to the automation and control of the M1 ventilation system. The revised control system must factor in the additional requirements of the HVAC system, while still optimizing performance of the M1 ventilation system and the M1's optical behavior. An industry-standard HVAC communication and networking protocol, BACnet (Building Automation and Control network), has been adopted. Integration of the BACnet protocol into the existing software framework at the MMT is discussed. Performance of the existing automated system is evaluated and a preliminary upgraded automated control system is presented. Finally, user interfaces to the new HVAC system are discussed.
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Chen, S. "Model predictive control of the HVAC system in industrial cleanrooms for energy saving." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3008038/.

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Sklavounos, Dimitris C. "Detection of abnormal situations and energy efficiency control in Heating Ventilation and Air Conditioning (HVAC) systems." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/12843.

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This research is related to the control of energy consumption and efficiency in building Heating Ventilation and Air Conditioning (HVAC) systems and is primarily concerned with controlling the function of heating. The main goal of this thesis is to develop a control system that can achieve the following two main control functions: a) detection of unexpected indoor conditions that may result in unnecessary power consumption and b) energy efficiency control regarding optimal balancing of two parameters: the required energy consumption for heating, versus thermal comfort of the occupants. Methods of both orientations were developed in a multi-zone space composed of nine zones where each zone is equipped with a wireless node consisting of temperature and occupancy sensors while all the scattered nodes together form a wireless sensor network (WSN). The main methods of both control functions utilize the potential of the deterministic subspace identification (SID) predictive model which provides the predicted temperature of the zones. In the main method for detecting unexpected situations that can directly affect the thermal condition of the indoor space and cause energy consumption (abnormal situations), the predictive temperature from the SID model is compared with the real temperature and thus possible temperature deviations that indicate unexpected situations are detected. The method successfully detects two situations: the high infiltration gain due to unexpected cold air intake from the external surroundings through potential unforeseen openings (windows, exterior doors, opened ceilings etc) as well as the high heat gain due to onset of fire. With the support of the statistical algorithm for abrupt change detection, Cumulative Sum (CUSUM), the detection of temperature deviations is accomplished with accuracy in a very short time. The CUSUM algorithm is first evaluated at an initial approach to detect power diversions due to the above situations caused by the aforementioned exogenous factors. The predicted temperature of the zone from the SID model utilized appropriately also by the main method of the second control function for energy efficiency control. The time needed for the temperature of a zone to reach the thermal comfort zone threshold from a low initial value is measured by the predicted temperature evolution, and this measurement bases the logic of a control criterion for applying proactive heating to the unoccupied zones or not. Additional key points for the control criterion of the method is the occupation time of the zones as well as the remaining time of the occupants in the occupied zones. Two scenarios are examined: the first scenario with two adjacent zones where the one is occupied and the other is not, and the second scenario with a multi-zone space where the occupants are moving through the zones in a cascade mode. Gama and Pareto probability distributions modeled the occupation times of the two-zone scenario while exponential distribution modeled the cascade scenario as the least favorable case. The mobility of the occupants modeled with a semi-Markov process and the method provides satisfactory and reasonable results. At an initial approach the proactive heating of the zones is evaluated with specific algorithms that handle appropriately the occupation time into the zones.
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Books on the topic "HVAC control system"

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Persson, Per-Goran. Control handbook: HVAC system. [Sweden]: Tour and Andersson AB, 1994.

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HVAC control system design diagrams. New York: McGraw-Hill, 1999.

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HVAC controls and control systems. Englewood Cliffs, NJ: Regents/Prentice Hall, 1994.

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HVAC control systems. 2nd ed. New York: Wiley, 1988.

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A, Penney Bradford. Good HVAC practices for residential and commercial buildings: A guide for thermal, moisture and contaminant control to enhance system performance and customer satisfaction. Arlington, VA: ACCA, 2003.

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H, Spethmann Donald, ed. HVAC controls and systems. New York: McGraw-Hill, 1993.

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Robert, McDowall. Fundamentals of HVAC control systems. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, 2011.

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Ross, Montgomery, ed. Fundamentals of HVAC control systems. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers, 2011.

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McDowall, Robert. Fundamentals of HVAC control systems. Amsterdam: Elsevier, 2009.

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Hartman, Thomas B. Direct digital controls for HVAC systems. New York: McGraw-Hill, 1993.

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Book chapters on the topic "HVAC control system"

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Rasmussen, Bryan P., Christopher Price, Justin Koeln, Bryan Keating, and Andrew Alleyne. "HVAC System Modeling and Control: Vapor Compression System Modeling and Control." In Intelligent Building Control Systems, 73–103. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68462-8_4.

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Yao, Ye, and Yuebin Yu. "Optimal Control of HVAC System Aiming at Energy Conservation." In Energy and Environment Research in China, 359–421. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53313-0_9.

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Kychkin, A. V., A. I. Deryabin, O. L. Vikentyeva, and L. V. Shestakova. "Adaptive IoT-Based HVAC Control System for Smart Buildings." In Advances in Intelligent Systems and Computing, 488–504. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51974-2_46.

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Wang, Jiasen, Jun Wang, and Shenshen Gu. "Neurodynamics-Based Receding Horizon Control of an HVAC System." In Advances in Neural Networks – ISNN 2019, 120–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22808-8_13.

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Zhang, Kai, Xiaosong Zhang, Shuhong Li, and Geng Wang. "Measurement and Control System of HVAC&R Integration Testing Platform." In Lecture Notes in Electrical Engineering, 351–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39581-9_36.

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Jacob, Jerry, and S. Selvakumar. "PI and Sliding Mode Control of QUANSER QNET 2.0 HVAC System." In Lecture Notes in Electrical Engineering, 1089–99. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5558-9_92.

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Yu, Zhen, Huai Li, and Wei Liu. "Topology Description of HVAC Systems for the Automatic Integration of a Control System Based on a Collective Intelligence System." In Environmental Science and Engineering, 883–91. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9524-6_92.

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Yu, Zhen, and Huai Li. "Identification of Flowrates and Pressures in HVAC Distribution Network Based on Collective Intelligence System." In Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019), 1229–37. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0474-7_115.

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Blasco, Carlos, Javier Monreal, Ignacio Benítez, and Andrés Lluna. "Modelling and PID Control of HVAC System According to Energy Efficiency and Comfort Criteria." In Sustainability in Energy and Buildings, 365–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27509-8_31.

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Alves, Aníbal A., Vitor Monteiro, J. G. Pinto, Joao L. Afonso, and Jose A. Afonso. "Development of an Internet of Things System for Smart Home HVAC Monitoring and Control." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 197–208. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45694-8_15.

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Conference papers on the topic "HVAC control system"

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Feldmeier, Mark, and Joseph A. Paradiso. "Personalized HVAC control system." In 2010 Internet of Things (IOT). IEEE, 2010. http://dx.doi.org/10.1109/iot.2010.5678444.

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Wemhoff, Aaron P., and William Flaherty. "Directing Supervisory Control Towards Real HVAC System Integration." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62529.

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Heating, ventilating, and air conditioning (HVAC) systems comprise a significant portion of U. S. energy consumption. A supervisory control approach allows for the reduction of HVAC energy used. The authors previously developed and discussed the Master Controller (MC) method as a type of supervisory control that minimizes HVAC energy consumption for a given system. This paper provides two advancements towards the application of the MC method in a real system. First, airflow constraints are incorporated into the MC algorithm. Second, an approach is developed for incorporating transient system loads that are calculated via commercial software. The constrained MC method is shown to produce energy savings of approximately 40% compared to a traditional Variable Air Volume (VAV) method and VAV method with chiller control for reducing HVAC energy consumption for an example system.
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Yang, Xinrui, and Xiangdong Wang. "Control For HVAC Chilled Water System." In 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/jimec-17.2017.88.

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Yasuyuki Ito, Yoshiki Murakami, Kenzo Yonezawa, Nobutaka Nishimura, Yasuo Takagi, Hiroyuki Morimoto, Susumu Sugawara, and Nobuyuki Donen. "Next generation HVAC system." In SICE 2008 - 47th Annual Conference of the Society of Instrument and Control Engineers of Japan. IEEE, 2008. http://dx.doi.org/10.1109/sice.2008.4655034.

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Kuč, Aleksandra, Milica Vlajić, Bojan Bilen, and Dragomir Marković. "Central control system in a specific purpose building." In 49th International HVAC&R Congress and Exhibition. Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije (SMEITS, 2018. http://dx.doi.org/10.24094/kghk.018.49.1.201.

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Belic, Filip, Zeljko Hocenski, and Drazen Sliskovic. "HVAC control methods - a review." In 2015 19th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2015. http://dx.doi.org/10.1109/icstcc.2015.7321372.

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Shoulaie, A., Gh Shahgholian, M. Bayati Poudeh, Nader Barsoum, Sermsak Uatrongjit, and Pandian Vasant. "DAMPING THE OSCILLATION IN AN HVDC∕HVAC SYSTEM WITH A GA-CONTROLLER." In INTERNATIONAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION: Innovation in Power Control for Optimal Industry. AIP, 2008. http://dx.doi.org/10.1063/1.3008675.

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Wemhoff, Aaron P. "HVAC System Energy Minimization via Optimization of Lumped System Models." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37163.

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Heating, ventilating, and air conditioning (HVAC) systems comprise nearly one third of annual household energy consumption in the United States. Energy savings can be gained by optimizing HVAC performance using a system of controls. This study applies a novel control method towards a system with an arbitrary steady-state load distribution. The new method applies multi-dimensional interpolation of optimized control configurations for various steady-state load distributions. These optimal configurations are derived using a lumped parameter simulation of the HVAC system. The new method is applied to a three-room HVAC system to demonstrate a power savings of 40% compared to an uncontrolled system. These savings compare favorably to predictions using the Variable-Air-Volume (VAV) method (37% power savings) and VAV with chiller control (33% power savings).
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Dowling, Chase P., and Baosen Zhang. "Transfer Learning for HVAC System Fault Detection." In 2020 American Control Conference (ACC). IEEE, 2020. http://dx.doi.org/10.23919/acc45564.2020.9147772.

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Tao, Ren, Gao Jingmin, and Jia Wenwen. "Automatic Control Technology in the HVAC System." In 2009 International Conference on Advanced Computer Control. IEEE, 2009. http://dx.doi.org/10.1109/icacc.2009.9.

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Reports on the topic "HVAC control system"

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Hernandez, Adriana. HVAC & Building Management Control System Energy Efficiency Replacements. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1063877.

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Watson, T. L. ,. Westinghouse Hanford. W-026, acceptance test report HVAC control system (submittal number 1572.1). Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/329780.

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Corbin, Charles D., Atefe Makhmalbaf, Sen Huang, Vrushali V. Mendon, Mingjie Zhao, Sriram Somasundaram, Guopeng Liu, Hung Ngo, and Srinivas Katipamula. Transactive Control of Commercial Building HVAC Systems. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1406830.

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Federspiel, Clifford. Wireless Demand Response Controls for HVAC Systems. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/973101.

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Markley, D., and P. Simon. D0 HVAC System Controls Evaluation of Upgrade Options. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/1032109.

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Chamberlin, Glen A., and Victor L. Storm. Demonstration of Standard HVAC Single-Loop Digital Control Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada265372.

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Haves, Phillip, Brandon Hencey, Francesco Borrell, John Elliot, Yudong Ma, Brian Coffey, Sorin Bengea, and Michael Wetter. Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/988177.

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Mathew, Paul, Cindy M. Regnier, Travis Walter, Jordan Shackelford, and P. Schwartz. ComEd – LBNL ‘Beyond Widgets’ Project Automated Shading Integrated with Lighting and HVAC Controls: System Program Manual. Office of Scientific and Technical Information (OSTI), May 2019. http://dx.doi.org/10.2172/1503668.

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Patrick O'Neill. Wireless Infrastructure for Performing Monitoring, Diagnostics, and Control HVAC and Other Energy-Using Systems in Small Commercial Buildings. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/973588.

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Baxter, Van D. Initial Business Case Analysis of Two Integrated Heat Pump HVAC Systems for Near-Zero-Energy Homes -- Update to Include Analyses of an Economizer Option and Alternative Winter Water Heating Control Option. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/931497.

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