Literatura académica sobre el tema "Optimization of HVAC energy consumption"
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Artículos de revistas sobre el tema "Optimization of HVAC energy consumption"
Jung, Dae Kyo, Dong Hwan Lee, Joo Ho Shin, Byung Hun Song y Seung Hee Park. "Optimization of Energy Consumption Using BIM-Based Building Energy Performance Analysis". Applied Mechanics and Materials 281 (enero de 2013): 649–52. http://dx.doi.org/10.4028/www.scientific.net/amm.281.649.
Texto completoKusiak, Andrew, Mingyang Li y Fan Tang. "Modeling and optimization of HVAC energy consumption". Applied Energy 87, n.º 10 (octubre de 2010): 3092–102. http://dx.doi.org/10.1016/j.apenergy.2010.04.008.
Texto completoBhatt, Dhowmya, Danalakshmi D, A. Hariharasudan, Marcin Lis y Marlena Grabowska. "Forecasting of Energy Demands for Smart Home Applications". Energies 14, n.º 4 (17 de febrero de 2021): 1045. http://dx.doi.org/10.3390/en14041045.
Texto completoSwaminathan, Siva, Ximan Wang, Bingyu Zhou y Simone Baldi. "A University Building Test Case for Occupancy-Based Building Automation". Energies 11, n.º 11 (14 de noviembre de 2018): 3145. http://dx.doi.org/10.3390/en11113145.
Texto completoLiu, Zhonghui y Gongyi Jiang. "Optimization of intelligent heating ventilation air conditioning system in urban building based on BIM and artificial intelligence technology". Computer Science and Information Systems, n.º 00 (2021): 27. http://dx.doi.org/10.2298/csis200901027l.
Texto completoRassadin, Yury y Nikita Shushko. "Data Driven PMV-Comfort and Energy Consumption Control in Common Buildings". Journal of Physics: Conference Series 2701, n.º 1 (1 de febrero de 2024): 012148. http://dx.doi.org/10.1088/1742-6596/2701/1/012148.
Texto completoLin, Chang-Ming, Hsin-Yu Liu, Ko-Ying Tseng y Sheng-Fuu Lin. "Heating, Ventilation, and Air Conditioning System Optimization Control Strategy Involving Fan Coil Unit Temperature Control". Applied Sciences 9, n.º 11 (11 de junio de 2019): 2391. http://dx.doi.org/10.3390/app9112391.
Texto completoCorten, Kai, Eric Willems, Shalika Walker y Wim Zeiler. "Energy performance optimization of buildings using data mining techniques". E3S Web of Conferences 111 (2019): 05016. http://dx.doi.org/10.1051/e3sconf/201911105016.
Texto completoBazenkov, N. y I. Petrov. "Detailed Analysis of Energy Consumption for an Office Building". Journal of Physics: Conference Series 2701, n.º 1 (1 de febrero de 2024): 012145. http://dx.doi.org/10.1088/1742-6596/2701/1/012145.
Texto completoWisdom Ebirim, Kehinde Andrew Olu-lawal, Nwakamma Ninduwezuor-Ehiobu, Danny Jose Portillo Montero, Favour Oluwadamilare Usman y Emmanuel Chigozie Ani. "LEVERAGING PROJECT MANAGEMENT TOOLS FOR ENERGY EFFICIENCY IN HVAC OPERATIONS: A PATH TO CLIMATE RESILIENCE". Engineering Science & Technology Journal 5, n.º 3 (10 de marzo de 2024): 653–61. http://dx.doi.org/10.51594/estj.v5i3.863.
Texto completoTesis sobre el tema "Optimization of HVAC energy consumption"
Abedi, Milad. "Directional Airflow for HVAC Systems". Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/88524.
Texto completoM.S.
The notion of adjustable direction of airflow has been used in the car industry and airplanes for decades, enabling the users to manually adjust the direction of airflow to their satisfaction. However, in the building the introduction of the incoming airflow to the environment of the room is achieved either by non-adjustable uniform diffusors, aiming to condition the air in the environment in a homogeneous manner. In the present thesis, the possibility of adopting directional airflow in place of the conventional uniform diffusors has been investigated. The potential benefits of such a modification in control capabilities of the HVAC system in terms of improvements in the overall occupant thermal comfort and energy consumption of the HVAC system have been investigated via a simulation study and an experimental study. In the simulation study, an average of 59% per cycle reduction was achieved in the energy consumption. The reduction in the required duration of airflow (proportional to energy consumption) in the experimental study was 64% per cycle on average. The feasibility of autonomous control of the directional airflow, has been studied in a simulation experiment by utilizing the Reinforcement Learning algorithm which is an artificial intelligence approach that facilitates autonomous control in unknown environments. In order to demonstrate the feasibility of enabling the existing HVAC systems to control the direction of airflow, a device (called active diffusor) was designed and prototyped. The active diffusor successfully replaced the existing uniform diffusor and was able to effectively target the occupant positions by accurately directing the airflow jet to the desired positions.
Taghi, Nazari Alireza. "Interaction between thermal comfort and HVAC energy consumption in commercial buildings". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/597.
Texto completoXie, Wang. "Energy Consumption Modeling in Wireless Sensor Networked Smart Homes". Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32071.
Texto completoSun, Zhifeng. "Energy Consumption Optimization of Electric Vehicles". Thesis, KTH, Fordonsdynamik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302774.
Texto completoDenna rapport avhandlar ett examensarbete där flera metoder har studerats för att förbättra energikonsumptionen för ett elektriskt fordon med två permanentmagnetsynkrona motorer. Två fördelningskartor för drivande moment är framtagna baserat på effektivitetskartor och lastöverföring. Fördelningskartorna för drivande moment som är baserat på effektivitet visar upp till 8,94% energiminskning. Två olika regenerativa bromsstrategier är framtagna och jämförda. Båda strategierna har ren regeneration vid låga decelerationer och är reglerat genom modifierat gaspedalsmappning. Strategi 1 ger inte mer regeneration när bromspedalen trycks ned och är då enklare medans strategi 2 kan blanda in mer vridmoment från elmotorn. Bakaxelstyrning är också studerat i termer av dess bidrag till energikonsumption samt en LQR regulator är utvecklad för reglering av fordonets bakaxelstyrning.
Sui, Di. "Characterization of HVAC operation uncertainty in EnergyPlus AHU modules". Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51911.
Texto completoTang, Fan. "HVAC system modeling and optimization: a data-mining approach". Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/895.
Texto completoLi, Mingyang. "Application of computational intelligence in modeling and optimization of HVAC systems". Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/397.
Texto completoPietruschka, Dirk. "Model based control optimisation of renewable energy based HVAC Systems". Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4022.
Texto completoXue, Li. "Process Optimization of Dryers/Tenters in the Textile Industry". Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5066.
Texto completoGupta, Deepak Prakash. "Energy sensitive machining parameter optimization model". Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4406.
Texto completoTitle from document title page. Document formatted into pages; contains ix, 71 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 67-71).
Libros sobre el tema "Optimization of HVAC energy consumption"
Westphalen, Detlef. Energy consumption characteristics of commercial building HVAC systems: Energy savings potential. Cambridge, MA: TIAX LLC., 2002.
Buscar texto completoCooper, Ken. Residential HVAC controller measurement input analysis: Final report. Ottawa, Ont: CANMET Energy Technology Centre, 1999.
Buscar texto completoGeller, Howard S. Consensus national efficiency standards for lamps, motors, showerheads, and commercial hvac equipment. Washington, DC: American Council for an Energy-Efficient Economy, 1992.
Buscar texto completoWestphalen, Detlef. Energy consumption characteristics of commercial building HVAC systems: Thermal distribution, auxiliary equipment, and ventilation. Cambridge, MA: Arthur D. Little, Inc., 1999.
Buscar texto completoWestphalen, Detlef. Energy consumption characteristics of commercial building HVAC systems: Chillers, refrigerant compressors, and heating systems. Cambridge, MA: Arthur D. Little, Inc., 2001.
Buscar texto completoRob, Queen, California Energy Commission. Public Interest Energy Research., California Energy Commission. Energy Innovations Small Grant Program. y San Diego State University. Foundation., eds. New powerline control technology for lighting and HVAC: Independent assessment report. [Sacramento, Calif.]: California Energy Commission, 2007.
Buscar texto completoZhaobo, Sun, ed. Qi hou bian hua dui wo guo qu nuan he jiang wen hao neng de ying xiang ji you hua yan jiu: Impact of climate change on energy consumption and optimization in China. Beijing: Qi xiang chu ban she, 2008.
Buscar texto completoNational Renewable Energy Laboratory (U.S.), United States. Department of Energy y United States. Department of Energy. Office of Scientific and Technical Information, eds. JouleLabs cooperative research and development agreement. Golden, Colo.]: National Renewable Energy Laboratory, 2010.
Buscar texto completoFrontini, Francesco. Daylight and solar control in buildings: General evaluation and optimization of a new angle selective glazing façade. Stuttgart: Fraunhofer-Verlag, 2011.
Buscar texto completoXiao, Yu, Sasu Tarkoma, Matti Siekkinen y Eemil Lagerspetz. Smartphone Energy Consumption: Modeling and Optimization. Cambridge University Press, 2014.
Buscar texto completoCapítulos de libros sobre el tema "Optimization of HVAC energy consumption"
Offtermatt, David, Daniel Lust y Tobias Erhart. "Box-Type Windows as Means for Better Air Quality and Acoustic Comfort in Urban Areas". En iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 315–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_21.
Texto completoPapadopoulos, Sokratis y Elie Azar. "Multi-objective Genetic Algorithm Optimization of HVAC Operation: Integrating Energy Consumption, Thermal Comfort, and Productivity". En Energy Systems Evaluation (Volume 2), 261–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67376-5_11.
Texto completoHilgers, Michael y Wilfried Achenbach. "Vehicle and Energy Loss". En Fuel Consumption and Consumption Optimization, 5–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60841-8_2.
Texto completoHilgers, Michael. "Vehicle and Energy Loss". En Fuel Consumption and Consumption Optimization, 7–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_2.
Texto completoBelleudy, Cécile. "Optimization of Energy Consumption". En Real-Time Systems Scheduling 1, 231–67. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118984413.ch6.
Texto completoAl-Salim, Kasim, Ivan Andonovic y Craig Michie. "Cyclic Blackout Mitigation Through HVAC Shifted Queue Optimization". En Energy Efficient Data Centers, 34–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15786-3_3.
Texto completoHilgers, Michael. "Concluding Remarks on the Topic of Energy Consumption". En Fuel Consumption and Consumption Optimization, 59–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_7.
Texto completoHilgers, Michael. "The Influence of the Driver on Energy Consumption". En Fuel Consumption and Consumption Optimization, 53–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66449-0_5.
Texto completoHariharan, K., Mathiarasan Vivek Ramanan, Naresh Kumar, D. Kesava Krishna, Arockia Dhanraj Joshuva y S. K. Indumathi. "Design and Development of Energy Meter for Energy Consumption". En Modeling, Simulation and Optimization, 563–69. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6866-4_42.
Texto completoWojnicki, Igor y Leszek Kotulski. "Street Lighting Control, Energy Consumption Optimization". En Artificial Intelligence and Soft Computing, 357–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59060-8_32.
Texto completoActas de conferencias sobre el tema "Optimization of HVAC energy consumption"
Wemhoff, Aaron P. "Optimization of Equipment Control Parameters to Minimize HVAC Energy Consumption". En ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54063.
Texto completoWemhoff, Aaron P. "HVAC System Energy Minimization via Optimization of Lumped System Models". En ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37163.
Texto completoTesiero, Raymond C., Nabil Nassif, Balakrishna Gokaraju y Daniel Adrian Doss. "Intelligent Approaches for Modeling and Optimizing HVAC Systems’ Energy Use". En ASME 2017 11th International Conference on Energy Sustainability collocated with the ASME 2017 Power Conference Joint With ICOPE-17, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/es2017-3105.
Texto completoJovanović, Vladan y Marko Ignjatović. "Simulation of the energy performance of potential HVAC systems and implementation of renewable energy sources to achieve nZEB on the example of an office building in Nis". En 54th International HVAC&R Congress and Exhibition. SMEITS, 2024. http://dx.doi.org/10.24094/kghk.023.061.
Texto completoKameel, Ramiz y Essam E. Khalil. "Energy Efficiency, Air Quality, and Comfort in Air-Conditioned Spaces". En ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48255.
Texto completoFiducioso, Marcello, Sebastian Curi, Benedikt Schumacher, Markus Gwerder y Andreas Krause. "Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/811.
Texto completoKhalil, Essam E. "Innovative Approach to Energy Efficient Buildings From Construction to Services: A Review". En ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85087.
Texto completoDíaz Jácome, Alfredo, Marco E. Sanjuán, Victor Fontalvo Morales y Cinthia Audivet Durán. "Model Predictive Control of an HVAC System Based on Dynamic Tracking and Optimization of Energy Use". En ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50434.
Texto completoYunus, Muhammad, Nandy Putra, Imansyah Ibnu Hakim, Fayza Yulia y Nasruddin Nasruddin. "Multi-Objective Optimization of Techno-Economic Feasibility of Heat Pipe Heat Exchanger (HPHE) for Air Conditioning Systems". En The 11th Asia Conference on Mechanical and Materials Engineering. Switzerland: Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-k1gc4g.
Texto completoChan, Korey y Saeid Bashash. "Modeling and Energy Cost Optimization of Air Conditioning Loads in Smart Grid Environments". En ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5284.
Texto completoInformes sobre el tema "Optimization of HVAC energy consumption"
Li, Yan, Yuhao Luo y Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, marzo de 2022. http://dx.doi.org/10.4271/2022-01-0739.
Texto completoWitzig, Andreas, Camilo Tello, Franziska Schranz, Johannes Bruderer y Matthias Haase. Quantifying energy-saving measures in office buildings by simulation in 2D cross sections. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541623658.
Texto completoBaker, Justin S., George Van Houtven, Yongxia Cai, Fekadu Moreda, Chris Wade, Candise Henry, Jennifer Hoponick Redmon y A. J. Kondash. A Hydro-Economic Methodology for the Food-Energy-Water Nexus: Valuation and Optimization of Water Resources. RTI Press, mayo de 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0044.2105.
Texto completoLevy, Alberto, Adriana M. Valencia J. y Ariel Yépez-García. The Energy Sector: Opportunities and Challenges. Inter-American Development Bank, agosto de 2016. http://dx.doi.org/10.18235/0010658.
Texto completoRatmanski, Kiril y Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), octubre de 2022. http://dx.doi.org/10.21079/11681/45680.
Texto completoDumas, Nathalie, Flourentzou Flourentzos, Julien BOUTILLIER, Bernard Paule y Tristan de KERCHOVE d’EXAERDE. Integration of smart building technologies costs and CO2 emissions within the framework of the new EPIQR-web application. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541616188.
Texto completoEinarsson, Rasmus. Nitrogen in the food system. TABLE, febrero de 2024. http://dx.doi.org/10.56661/2fa45626.
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