Relevant bibliographies by topics / Heating and ventilation control

Contents

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

Academic literature on the topic 'Heating and ventilation control'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Heating and ventilation control"

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Abed Elfattah, Shaymaa, Mubarak M. Mostafa, Mahmoud A. Elnono, and Ahmed M. Kassem. "GREENHOUSE HEATING AND VENTILATION CONTROL SYSTEM." Misr Journal of Agricultural Engineering 31, no. 2 (April 1, 2014): 667–82. http://dx.doi.org/10.21608/mjae.2014.99670.

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Fisher, G., B. Ligman, T. Brennan, R. Shaughnessy, B. H. Turk, and B. Snead. "Radon Mitigation in Schools Utilising Heating, Ventilating and Air Conditioning Systems." Radiation Protection Dosimetry 56, no. 1-4 (December 1, 1994): 51–54. http://dx.doi.org/10.1093/oxfordjournals.rpd.a082421.

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Abstract As part of a continuing radon in schools technology development effort, EPA's School Evaluation Team has performed radon mitigation in schools by the method of ventilation/pressurisation control technology. Ventilation rates were increased, at a minimum, to meet the American Society of Heating, Refrigeration and Air Conditioning Engineers (ASHRAE) standard Ventilation for Acceptable Indoor Air Quality (ASHRAE 62-1989). This paper presents the results and the preliminary evaluations which led to the team's decision to implement this technology. Factors considered include energy penalties, comfort, indoor air quality (IAQ), building shell tightness, and equipment costs. Cost benefit of heat recovery ventilation was also considered. Earlier results of the SEP team's efforts have indicated a severe ventilation problem within the schools of the United States. An integrated approach to radon mitigation in schools and other large buildings which control radon as well as improve overall IAQ should be the goal of radon remediation where practical. Two case studies are presented where HVAC technology was implemented for controlling radon concentrations. One involved the installation of a heat recovery ventilator to depressurise a crawl space and provide ventilation to the classrooms which previously had no mechanical ventilation. The other involved the restoration of a variable air volume system in a two-storey building. The HVAC system's controls were restored and modified to provide a constant building pressure differential to control the entry of radon. Pre-mitigation and post-mitigation indoor air pollutant measurements were taken, including radon, carbon dioxide (CO2), particulates, and bio-aerosols. Long-term monitoring of radon, CO2 building pressure differentials, and indoor/outdoor temperature and relative humidity is presented.
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Yau, Jamilu, Ji JianWei, Hui Wang, Olubakinde Eniola, and Folahan Peter Ibitoye. "Modelling of Ventilation Rate and Heating Rate using Multi-Module Fuzzy Control System for A Greenhouse." European Journal of Engineering Research and Science 5, no. 7 (July 31, 2020): 800–806. http://dx.doi.org/10.24018/ejers.2020.5.7.2015.

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The implementation of Ventilation rate and Heating rate can save energy and reduce cost of production. In previous studies, ventilation rates and heating rates were calculated based on mass and energy balance but they are mainly influenced by several factors. In order to check for the effectiveness and applicability of greenhouse ventilation rate and heating rate, we study a multi-module fuzzy control method and use fuzzy logic controllers to control the coordination of a greenhouse heating and ventilation systems. The complexity is reduced by using fuzzy tool in matlab-simulink environment which enables a quick design. The experimental data showed that the new multi-module fuzzy control reduced temperature and humidity fluctuations and maintained temperature and humidity closer to the desired temperature and humidity; this method can be easily used to control other equipment in the greenhouse.
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Krajčík, Michal, Lucia Kudiváni, and Ardeshir Mahdavi. "Energy Saving Potential of Personalized Ventilation Applied in an Open Space Office under Winter Conditions." Applied Mechanics and Materials 861 (December 2016): 417–24. http://dx.doi.org/10.4028/www.scientific.net/amm.861.417.

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Mixing and displacement air distribution are the main ventilation principles applied in both residential and non-residential buildings. Recently, personalized ventilation when the fresh air is delivered directly to the occupants at a high ventilation effectiveness has become an alternative. Despite of this fact, little research has been carried out to quantify the energy saving potential of personalized ventilation. This study aimed to quantify the effect of ventilation effectiveness and control strategy on the energy performance and thermal comfort for an open plan office equipped by different types of ventilation systems, including mixing ventilation with constant air volume, demand control ventilation and personalized ventilation. A model was created in a program for dynamic energy simulations TRNSYS, representing one floor of a typical office building divided into four zones with different orientations and a core. Space heating and cooling were provided by ceiling fancoil units recirculating the room air, thus the tasks of ventilation and air conditioning were provided by two separate systems. The potential of personalized ventilation to save energy for fans and for the heating coil of the ventilation system presented about 70% compared to constant air volume mixing ventilation, however, the overall saving was only 20% when also the energy demand for space heating was considered. The energy benefit of demand control ventilation and personalized ventilation depends on the energy need for space heating and cooling, system configuration and operation, and occupancy.
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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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Berquist, Justin, Carsen Banister, and Mathieu Pellissier. "Comparison of Heat Recovery Ventilator Frost Control Techniques in the Canadian Arctic: Preheat and Recirculation." E3S Web of Conferences 246 (2021): 11010. http://dx.doi.org/10.1051/e3sconf/202124611010.

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Air-to-air heat/energy recovery ventilators can effectively reduce the cost associated with ventilating a home. However, high indoor moisture levels, in conjunction with extreme temperature differences between the outdoor and indoor air can cause frost accumulation in the mechanical equipment, leading to performance degradation or failure. In this research, a demonstration house using a heat recovery ventilation system in Iqaluit, Nunavut, Canada was used to compare the performance of two frost control techniques: recirculation and electrical preheat. The advantages and disadvantages of each method are outlined to highlight the need to adapt southern strategies to ensure system functionality in the Arctic. The system was equipped with a heat recovery ventilator (HRV) with built-in recirculation technology to defrost the HRV, as well as two electric preheaters that can be used instead of recirculation and prevent frost formation. Between December 2018 and April 2019 the ventilation system’s performance was monitored for seven weeks while using either recirculation or electrical preheat. The experiments showed the ventilation system equipment consumed more absolute energy with electrical preheat than with recirculation as the frost control technique. However, when using recirculation, the ventilation system experienced more losses throughout the ventilation system, causing the whole building to consume more energy due to an increase in energy consumption by the home’s heating system. Moreover, the quantity of outdoor air that was restricted while using recirculation made electrical preheat the superior option for this ventilation system design. The energy use of the ventilation system with electric preheat enabled was 35% lower on a per volume of outdoor air basis. Contrary to some belief that preheating is a poor approach for frost control in heat/energy recovery ventilators, this research finds that preheating can be a more energy efficient method to provide ventilation if controlled well.
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Wang, Yang, Jens M. Kuckelkorn, Daoliang Li, and Jiangtao Du. "A novel coupling control with decision-maker and PID controller for minimizing heating energy consumption and ensuring indoor environmental quality." Journal of Building Physics 43, no. 1 (August 6, 2018): 22–45. http://dx.doi.org/10.1177/1744259118792582.

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Due to climate change, global energy crisis, and high-quality life requirement for people, decreasing building energy consumption and enhancing indoor environment quality through control of heating, ventilation, and air conditioning systems tend to be increasingly important. Therefore, favorable control methods for heating and ventilation systems are urgently necessary. In this work, a new coupling control with decision-maker was proposed, developed, and investigated; meanwhile, several demand controlled ventilation strategies combined with heating control method was compared considering heating energy consumption, thermal comfort, and indoor air quality. In order to properly model the service systems, the air change rates and thermal time constants have been first measured in a reference office installed with commonly applied bottom-hinged tilted windows in our low-energy building supplied by geothermal district heating. Then, simulations have been carried out across two typical winter days in the reference office. The results illustrate that the proposed combination of suitable heating and demand controlled ventilation coupling control methods with decision-maker and proportional-integral-derivative (PID) controller could greatly reduce heating consumption in the reference room during the office time: around 52.4% (4.4 kW h energy saving) per day in winter in comparison to a commonly suggested method of intensive and brief airing. At the same time, it could ensure indoor CO2 concentration to keep within the pre-set ranges (Pettenkofer limit: 1000 ppm) as well as low variations of indoor temperature (standard deviation (SD): 0.1°C).
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Jamieson, M. "Climate control systems and equipment — heating, energy conservation and system failure." BSAP Occasional Publication 11 (January 1987): 75–86. http://dx.doi.org/10.1017/s0263967x00001798.

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AbstractConventionally heat consumption forms a small proportion (about 002) of the total cost of producing finishing pigs. Heating costs are incurred from farrowing to about 20 kg live weight and generally represent about 0–05 of production costs to this stage.Apart from the incorporation of adequate insulation in the building structure, the main means of restricting heating costs is by good control of minimum ventilation rate. Efficient control systems are available but operators do not always fully understand how they are intended to work, so effective training is as important as clear operating instructions.Techniques exist for the reduction of fossil fuel consumption but all involve the expenditure of additional capital and have running costs of their own. In relation to the current low costs of fossil fuels, oil and propane, even the simplest of these methods are difficult to justify in commercial practice. They include: heat recovery by static recuperator from ventilation exhaust air; and heat recovery by heat pump from low temperature sources such as aerobically treated slurry, ground water and exhaust air.Alternative non-fossil fuels include biogas and straw. Biogas production by anaerobic digestion of slurry is expensive in capital and is only feasible where the slurry must be treated for other reasons, such as odour control. Heat production from straw may be economical where the straw is available at low cost and simple stoking aids (e.g. existing tractor fore-loaders) are used.Fail-safe equipment to protect stock in the event of forced ventilation system breakdown must be carefully designed and installed to be reliable. Methods are available to suit the range of ventilation and housing systems. Failure of natural ventilation systems is less likely to cause problems, and indications to the stockman of abnormal temperature conditions should be sufficient to prevent loss of stock.
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Saber, Esmail Mahmoudi, Issa Chaer, Aaron Gillich, and Bukola Grace Ekpeti. "Review of Intelligent Control Systems for Natural Ventilation as Passive Cooling Strategy for UK Buildings and Similar Climatic Conditions." Energies 14, no. 15 (July 21, 2021): 4388. http://dx.doi.org/10.3390/en14154388.

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Natural ventilation is gaining more attention from architects and engineers as an alternative way of cooling and ventilating indoor spaces. Based on building types, it could save between 13 and 40% of the building cooling energy use. However, this needs to be implemented and operated with a well-designed and integrated control system to avoid triggering discomfort for occupants. This paper seeks to review, discuss, and contribute to existing knowledge on the application of control systems and optimisation theories of naturally ventilated buildings to produce the best performance. The study finally presents an outstanding theoretical context and practical implementation for researchers seeking to explore the use of intelligent controls for optimal output in the pursuit to help solve intricate control problems in the building industry and suggests advanced control systems such as fuzzy logic control as an effective control strategy for an integrated control of ventilation, heating and cooling systems.
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Lachhab, Fadwa, Mohamed Bakhouya, Radouane Ouladsine, and Mohammed Essaaidi. "A context-driven platform using Internet of things and data stream processing for heating, ventilation and air conditioning systems control." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 7 (April 9, 2019): 877–88. http://dx.doi.org/10.1177/0959651819841534.

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Control approaches of heating, ventilation and air conditioning systems in buildings have been proposed in the past years for minimizing energy consumption and maintaining occupants’ comfort. However, recent studies have shown that context-driven control approaches using Internet of things and data stream processing technologies could further improve energy saving in heating, ventilation and air conditioning systems. In this article, an intelligent control approach using a state feedback technique is introduced to regulate the heating, ventilation and air conditioning system according to the actual context. The proposed thermal state feedback control was then implemented and deployed in our EEBLab to study its effectiveness in a real-setting scenario. The performance of the proposed control was evaluated in a real test-site by deploying a control card that links the controller with the heating, ventilation and air conditioning system. A smart mobile application for real feedback control was also developed and deployed to dynamically adapt the controller to context’s changes. The mobile application and the heating, ventilation and air conditioning system communicate and exchange data under a data acquisition and visualization platform. In this article, a holistic platform that combines Internet of things and data stream processing technologies was developed and deployed in a real-setting scenario. Experiments have been performed, and results are reported to demonstrate the effectiveness and usefulness of the proposed approach in terms of energy saving while maintaining a comfortable room temperature. The proposed state feedback control outperforms the proportional–integral–derivative and ON/OFF approaches in terms of energy consumption while providing acceptable thermal comfort by allowing a neutral thermal sensation with ± 0.30 of predictive mean vote and less than 7% of predicted percentage of dissatisfaction.
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Dissertations / Theses on the topic "Heating and ventilation control"

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Dong, Bing. "Integrated Building Heating, Cooling and Ventilation Control." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/4.

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Current research studies show that building heating, cooling and ventilation energy consumption account for nearly 40% of the total building energy use in the U.S. The potential for saving energy through building control systems varies from 5% to 20% based on recent market surveys. In addition, building control affects environmental performances such as thermal, visual, air quality, etc., and occupancy such as working productivity and comfort. Building control has been proven to be important both in design and operation stages. Building control design and operation need consistent and reliable static and dynamic information from multiple resources. Static information includes building geometry, construction and HVAC equipment. Dynamic information includes zone environmental performance, occupancy and outside weather information during operation.. At the same time, model-based predicted control can help to optimize energy use while maintaining indoor set-point temperature when occupied. Unfortunately, several issues in the current approach of building control design and operation impede achieving this goal. These issues include: a) dynamic information data such as real-time on-site weather (e.g., temperature, wind speed and solar radiation) and occupancy (number of occupants and occupancy duration in the space) are not readily available; b) a comprehensive building energy model is not fully integrated into advanced control for accuracy and robustness; c) real-time implementation of indoor air temperature control are rare. This dissertation aims to investigate and solve these issues based on an integrated building control approach. This dissertation introduces and illustrates a method for integrated building heating, cooling and ventilation control to reduce energy consumption and maintain indoor temperature set-point, based on the prediction of occupant behavior patterns and weather conditions. Advanced machine learning methods including Adaptive Gaussian Process, Hidden Markov Model, Episode Discovery and Semi-Markov Model are modified and implemented into this dissertation. A nonlinear Model Predictive Control (NMPC) is designed and implemented in real-time based on Dynamic Programming. The experiment test-bed is setup in the Solar Decathlon House (2005), with over 100 sensor points measuring indoor environmental parameters such as temperature, relative humidity, CO2, lighting, motion and acoustics, and power consumption for electrical plugs, HVAC and lighting. The outdoor environmental parameters, such as temperature, relative humidity, CO2, global horizontal solar radiation and wind speed, are measured by the on-site weather station. The designed controller is implemented through LabVIEW. The experiments are carried out for two continuous months in the heating season and for a week in cooling season. The results show that there is a 26% measured energy reduction in the heating season compared with the scheduled temperature set-points, and 17.8% energy reduction in the cooling season. Further simulation-based results show that with tighter building façade, the cooling energy reduction could reach 20%. Overall, the heating, cooling and ventilation energy reduction could reach nearly 50% based on this integrated control approach for the entire heating/cooling testing periods compared to the conventional scheduled temperature set-point.
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Graham, W. J. "Adaptive control of wet heating systems." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370317.

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Kranz, Jürgen. "Intelligent automotive thermal comfort control." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1435.

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Mobility has become a substantial part in our society. Since we spend a lot of our available time on the road, we expect the automotive environment to provide similar comfort levels than residential buildings. Within this context, this research thesis especially focuses on automotive thermal comfort control. The automotive cabin is a very special environment, which is characterized by extreme inhomogeneity and overall transient behavior. Thermal comfort is a very vague and a very subjective term, which depends on physiological and psychological variables. Theories for thermal comfort in transient environments have not been fully established yet and researchers are still busy with its investigation. At present, automotive industry relies on extensive thermal comfort models, manikins and powerful simulation tools to assess and control thermal comfort. This thesis studies the application of artificial intelligence and proposes a blackbox approach which aims for extracting thermal comfort knowledge directly from human's interaction with the HVAC controls. This methodology avoids the use of human physiological and psychological thermal comfort models and does not require any a-priori knowledge. A novel comfort acquisition tool has been developed and has been integrated into a research vehicle in order to gather the required data for system learning. Data has been collected during spring, autumn and summer conditions in Southern Africa. Methods of data mining have been applied and an intelligent implementation using artificial neural networks has been proposed. The achieved results are promising and allow for about 87 perecent correct classification. It is concluded that methods of artificial intelligence perform well and are far superior compared to conventional approaches. These methods can be used as a powerful tool for the development process of vehicle air-conditioning controls and have great potential for time and cost reduction.
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Rashid, Dewan Md Harunur Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Wake survey behind a rotating ventilator." Awarded by:University of New South Wales. School of Mechanical and Manufacturing Engineering, 2002. http://handle.unsw.edu.au/1959.4/19076.

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With environmental concern growing in both affluent and developing countries, roof top ventilators, a form of natural ventilation requiring only wind energy to ensure quality air circulation and comfort is becoming a considered choice of many households and industries. Unfortunately, however, many of these ventilators have evolved through trial and error and the flow physics associated with these ventilators is barely understood. The present experimental project was, therefore, undertaken as part of UNSW- Industry collaboration program funded under an Australian Research Council Grant to explore whether the aerodynamics forces acting on these ventilators during their operation could be obtained. A commercial roof top ventilator supplied by industry was, therefore, tested in an open jet wind tunnel of the University of New South Wales and the results are presented in this thesis. A novel feature of this project is the examination of the suitability of ???the three dimensional wake traverse??? technique to the wake of rotating ventilator. This technique has so far been applied with limited success to the wake of lifting bodies of fixed wing configuration only. In the absence of adequate data in the literature on rotating ventilator, the aerodynamics force components obtained by this technique have been compared against force balance measurements. The results show that the wake traverse technique is capable of determining lift and total drag forces associated with the ventilator flow during its operation from the pressure and velocity information gathered downstream of a ventilator in its wake. Generally, from these data, the technique also allows isolation of the profile and induced components of the drag force. However, from the induced drag value, while it is possible to determine the lift force, it is however, found that a more accurate value of lift force can be evaluated using axial vorticity formulation. The availability of the above technique which does not require measurements on the test specimen itself, will aid in providing a cost efficient investigation of the aerodynamic forces and consequently the performance of a roof top ventilator.
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Hayat, Tariq. "Modelling, simulation and control of mine ventilation systems." Thesis, University of Sheffield, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387494.

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Tank, Prabhulal M. "Single and multiple boiler control for efficiency." Thesis, London South Bank University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.259992.

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Asmar, Basel Nashat. "Control of a two-stage refrigeration system." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287167.

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Trinder, M. C. J. "Active noise control in finite length ducts." Thesis, University of Essex, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371924.

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Florenz-Esnal, Julian. "Temperature prediction models and their application to the control of heating systems." Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335130.

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Hawkins, M. E. "Fuzzy rule-based control of ducted air flows." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334222.

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Books on the topic "Heating and ventilation control"

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

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B, Cooper William. Warm air heating for climate control. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1989.

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Burgess, William A. Ventilation for control of the work environment. New York: Wiley, 1989.

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Burgess, William A. Ventilation for control of the work environment. New York, NY: John Wiley & Sons, 1989.

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J, Ellenbecker Michael, and Treitman Robert D, eds. Ventilation for control of the work environment. 2nd ed. Hoboken, N.J: J. Wiley & Sons, 2004.

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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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Goodfellow, Howard D. Advanced design of ventilation systems for contaminant control. Amsterdam: Elsevier, 1985.

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Hordeski, Michael F. HVAC control in the new millennium. Lilburn, GA: Fairmont Press, 2001.

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Book chapters on the topic "Heating and ventilation control"

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Haines, Roger W., and Douglas C. Hittle. "Special Control." In Control Systems for Heating, Ventilating, and Air Conditioning, 221–30. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_9.

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Haines, Roger W., and Douglas C. Hittle. "Pneumatic Control Devices." In Control Systems for Heating, Ventilating, and Air Conditioning, 13–41. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_2.

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Haines, Roger W., and Douglas C. Hittle. "Fluidic Control Devices." In Control Systems for Heating, Ventilating, and Air Conditioning, 68–74. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_4.

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Haines, Roger W., and Douglas C. Hittle. "Flow Control Devices." In Control Systems for Heating, Ventilating, and Air Conditioning, 75–92. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_5.

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Haines, Roger W., and Douglas C. Hittle. "Elementary Control Systems." In Control Systems for Heating, Ventilating, and Air Conditioning, 93–134. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_6.

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Haines, Roger W., and Douglas C. Hittle. "Complete Control Systems." In Control Systems for Heating, Ventilating, and Air Conditioning, 135–99. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_7.

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Haines, Roger W., and Douglas C. Hittle. "Electric Control Systems." In Control Systems for Heating, Ventilating, and Air Conditioning, 200–220. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3108-1_8.

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Haines, Roger W. "Supervisory Control Systems." In Control Systems for Heating, Ventilating and Air Conditioning, 240–59. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-6593-8_10.

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Haines, Roger W. "Pneumatic Control Devices." In Control Systems for Heating, Ventilating and Air Conditioning, 13–40. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-6593-8_2.

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Haines, Roger W. "Fluidic Control Devices." In Control Systems for Heating, Ventilating and Air Conditioning, 66–72. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-6593-8_4.

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Conference papers on the topic "Heating and ventilation control"

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Tsitsimpelis, Ioannis, and C. James Taylor. "A 2 dimensional Hammerstein model for heating and ventilation control of conceptual thermal zones." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915137.

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Sinnamohideen, K. "Discrete-event diagnostics of heating, ventilation, and air-conditioning systems." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946049.

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Shahnazari, Hadi, Prashant Mhaskar, John House, and Tim Salsbury. "Fault diagnosis design for heating, ventilation and air conditioning systems." In 2018 Annual American Control Conference (ACC). IEEE, 2018. http://dx.doi.org/10.23919/acc.2018.8431917.

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Kharbouch, Abdelhak, Mohamed Bakhouya, Anas El Maakoul, and Driss El Ouadghiri. "A Holistic Approach for Heating and Ventilation Control in EEBs." In MoMM2019: The 17th International Conference on Advances in Mobile Computing & Multimedia. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3365921.3365951.

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Mallikarjun, S., A. R. Gautam, K. Muniyasamy, M. Maharaja, B. Subathra, and Seshadhri Srinivasan. "LASSO based building thermal model for heating, ventilation and air-conditioning control." In 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2015. http://dx.doi.org/10.1109/icecct.2015.7226011.

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Burger, Eric M., and Scott J. Moura. "ARX Model of a Residential Heating System With Backpropagation Parameter Estimation Algorithm." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5315.

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Model predictive control (MPC) strategies hold great potential for improving the performance and energy efficiency of building heating, ventilation, and air-conditioning (HVAC) systems. A challenge in the deployment of such predictive thermo-static control systems is the need to learn accurate models for the thermal characteristics of individual buildings. This necessitates the development of online and data-driven methods for system identification. In this paper, we propose an autoregressive with exogenous terms (ARX) model of a thermal zone within a building. To learn the model, we present a backpropagation approach for recursively estimating the parameters. Finally, we fit the linear model to data collected from a residential building with a forced-air heating and ventilation system and validate the accuracy of the trained model.
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Butera, Frank, and Keith Hewett. "Acoustic Performance of Louvred Facades for Brisbane Domestic Airport: An Integrated Approach." In ASME 2012 Noise Control and Acoustics Division Conference at InterNoise 2012. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ncad2012-1393.

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Maximising cross ventilation is a low energy method of naturally ventilating and providing heating and cooling to deep plan spaces. Significant reduction in the emission of greenhouse gases can be achieved through minimising the use of mechanical systems in regions with climatic conditions that support the use of natural ventilation. Arup has provided input into the design of a louvered facade for the control of external noise for Brisbane Domestic Airport. A full scale prototype facade was constructed and noise transmission loss measurements were undertaken. The results indicate that significant noise reduction can be achieved to enable compliance with the internal noise limits for airport terminals, whilst using natural ventilation. The findings from this research will directly benefit building designers and innovators in the pursuit of achieving sustainable building design.
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Forouzandehmehr, Najmeh, Samir M. Perlaza, Zhu Han, and H. Vincent Poor. "A satisfaction game for heating, ventilation and air conditioning control of smart buildings." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831558.

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Mooney, R. "The gain-scheduled control of a non-linear laboratory heating and ventilation process." In IEE Irish Signals and Systems Conference 2005. IEE, 2005. http://dx.doi.org/10.1049/cp:20050285.

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Behravan, Ali, Nadra Tabassam, Osama Al-Najjar, and Roman Obermaisser. "Composability Modeling for the Use Case of Demand-controlled Ventilation and Heating System." In 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2019. http://dx.doi.org/10.1109/codit.2019.8820293.

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Reports on the topic "Heating and ventilation control"

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Schwenk, David M., and Richard L. Strohl. Heating, Ventilating, and Air-Conditioning Controls Operations and Maintenance Field Manual. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada396769.

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Author, Not Given. Multifamily Individual Heating and Ventilation Systems, Lawrence, Massachusetts (Fact Sheet). Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105091.

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MCDANIEL, K. S. B-Plant Canyon Ventilation Control System Description. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/797659.

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Hane, G. J. HVAC (heating, ventilation, air conditioning) literature in Japan: A critical review. Office of Scientific and Technical Information (OSTI), February 1988. http://dx.doi.org/10.2172/5425603.

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Jung, H. Failure mode analysis of the FFTF heating and ventilation system 25. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/713330.

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G. DANKO, J. A. BLINK, D. A. CHESTNUT. TEMPERATURE AND MOISTURE CONTROL USING PRE-CLOSURE VENTILATION. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/776460.

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G. DANKO, J. A. BLINK AND D. A. CHESTNUT. TEMPERATURE AND MOISTURE CONTROL USING PRE-CLOSURE VENTILATION. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/776477.

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Goetzler, Bill, Matt Guernsey, Theo Kassuga, Jim Young, Tim Savidge, Antonio Bouza, Monica Neukomm, and Karma Sawyer. Grid-Interactive Efficient Buildings Technical Report Series: Heating, Ventilation, and Air Conditioning (HVAC); Water Heating; Appliances; and Refrigeration. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1577967.

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Goetzler, Bill, Matt Guernsey, and Theo Kassuga. Grid-Interactive Efficient Buildings Technical Report Series: Heating, Ventilation, and Air Conditioning (HVAC); Water Heating; Appliances; and Refrigeration. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1580209.

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Less, Brennan, Iain Walker, and Yihuan Tang. Development of an Outdoor Temperature Based Control Algorithm for Residential Mechanical Ventilation Control. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1220536.

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