Literatura académica sobre el tema "Building energy dynamic simulations"
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Artículos de revistas sobre el tema "Building energy dynamic simulations"
Jimenez-Bescos, Carlos y Xabat Oregi. "Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption". Environmental and Climate Technologies 23, n.º 3 (1 de diciembre de 2019): 308–18. http://dx.doi.org/10.2478/rtuect-2019-0097.
Texto completoEftimie, Elena. "Energy Efficiency Analysis in Buildings using Dynamic Simulations". European Journal of Engineering Research and Science 2, n.º 5 (2 de mayo de 2017): 1. http://dx.doi.org/10.24018/ejers.2017.2.5.325.
Texto completoEftimie, Elena. "Energy Efficiency Analysis in Buildings using Dynamic Simulations". European Journal of Engineering and Technology Research 2, n.º 5 (2 de mayo de 2017): 1–12. http://dx.doi.org/10.24018/ejeng.2017.2.5.325.
Texto completoJradi, Muhyiddine, Henrik Engelbrecht Foldager y Rasmus Camillus Jeppesen. "A tool for Danish buildings energy retrofit design and evaluation using dynamic energy simulations". E3S Web of Conferences 172 (2020): 18008. http://dx.doi.org/10.1051/e3sconf/202017218008.
Texto completoYahiaoui, Azzedine. "Distributed dynamic simulations of networked control and building performance applications". SIMULATION 94, n.º 2 (31 de mayo de 2017): 145–61. http://dx.doi.org/10.1177/0037549717711269.
Texto completoChiesa, Giacomo, Francesca Fasano y Paolo Grasso. "A New Tool for Building Energy Optimization: First Round of Successful Dynamic Model Simulations". Energies 14, n.º 19 (8 de octubre de 2021): 6429. http://dx.doi.org/10.3390/en14196429.
Texto completoNiederau, Jan, Johanna Fink y Moritz Lauster. "Connecting Dynamic Heat Demands of Buildings with Borehole Heat Exchanger Simulations for Realistic Monitoring and Forecast". Advances in Geosciences 56 (6 de octubre de 2021): 45–56. http://dx.doi.org/10.5194/adgeo-56-45-2021.
Texto completoRodríguez-Vázquez, Martin, Iván Hernández-Pérez, Jesus Xamán, Yvonne Chávez, Miguel Gijón-Rivera y Juan M. Belman-Flores. "Coupling building energy simulation and computational fluid dynamics: An overview". Journal of Building Physics 44, n.º 2 (2 de febrero de 2020): 137–80. http://dx.doi.org/10.1177/1744259120901840.
Texto completoColombo, Paola, Rossano Scoccia, Marcello Aprile, Mario Motta y Livio Mazzarella. "Minimalist RC network for building energy simulations: a case study based on OpenBPS". E3S Web of Conferences 197 (2020): 02005. http://dx.doi.org/10.1051/e3sconf/202019702005.
Texto completoFerroukhi, Mohammed, Rafik Belarbi, Karim Limam y Walter Bosschaerts. "Impact of coupled heat and moisture transfer effects on buildings energy consuption". Thermal Science 21, n.º 3 (2017): 1359–68. http://dx.doi.org/10.2298/tsci150608215f.
Texto completoTesis sobre el tema "Building energy dynamic simulations"
SUMMA, SERENA. "Energy efficiency of buildings: Dynamic simulations and experimental analyses". Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/299081.
Texto completoThe studies reported in this thesis add to the current body of knowledge a contribution concerning both new dynamic hourly calculation models, useful for a reliable assessment of the energy needs of buildings, and innovative construction solutions to improve the energy efficiency of buildings and thus decarbonise the construction sector currently responsible for about 40% of global climate-changing gas emissions. The new calculation models contained in the recent standards published by CEN are analysed, namely EN ISO 52016-1:2017 "Energy demand for heating and cooling, indoor temperatures and sensible and latent heat loads - Part 1: Calculation procedures" and the related EN ISO 52010-1:2017 "Outdoor climatic conditions - Part 1: Conversion of climate data for energy calculations". These standards offer the possibility to estimate energy requirements and operative temperatures with similar accuracy to that of major simulation software (such as Trnsys or Energy Plus), but in a less onerous way. As both standards are recently published, there are not enough studies in the literature to identify the actual validity of the methods and the fields of application. For this reason, using Tnsys as a basis, a comparative and sensitivity analysis was carried out, the main criticalities were identified and alternative calculation methods were proposed which, appropriately integrated into the standards, improved their accuracy. At an experimental level, innovative construction solutions were proposed to improve winter and summer energy requirements, respectively with the study of a hyper-insulated building integrated with a solar greenhouse equipped with controlled mechanical ventilation and with the study of three different ventilated facades, also integrated with controlled mechanical ventilation, optimised using machine learning techniques. Finally, the impact of climate change on current NZEBs in terms of needs and comfort was assessed, according to two scenarios proposed by the IPCC (Intergovernmental Panel on Climate Change): RCP4.5, which foresees a reversal of CO2 emissions by 2070 and a maximum temperature increase of 2°C, and RCP8.5, which uses a "business-as-usual" approach and foresees quadruple CO2 concentrations by 2100, with a temperature increase of more than 4°C.
Maggiore, Pierpaolo. "Energy retrofit of an office building in Stockholm: energy performance analysis of the cooling system". Thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190960.
Texto completoSIRen
Pacillo, Valentina. "Effect of the building zoning on the energy consumption with different dynamic energy simulation tools: ALMABEST versus carnotUIBK". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Buscar texto completoPaepcke, Anne. "NANDRAD 1.4 building simulation model". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230427.
Texto completoLapioli, Simone. "Energy retrofit of an office building in Stockholm: feasibility analysis of an EWIS". Thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190992.
Texto completoSIRen
O'Kelly, Matthew E. "Dynamic Simulation of a Superinsulated Residential Structure with a Hybrid Desiccant Cooling System". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345442100.
Texto completoKos, Cristoffer y Kristoffer Hermansson. "BUILDING AND SIMULATING DYNAMIC MODELS OF DISTRICT HEATING NETWORKS WITH MODELICA : Using Matlab to process data and automate modelling and simulation". Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-36107.
Texto completoSmarta Flöden
BELTRAMI, Alberto. "Trnsys integrated modeling support tool for a fast building-plant system design". Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/52297.
Texto completoBELTRAMI, Alberto. "Trnsys integrated modeling support tool for a fast building-plant system design". Doctoral thesis, Università degli studi di Bergamo, 2016. http://hdl.handle.net/10446/222107.
Texto completoAmin, Majdi Talal. "Dynamic Modeling and Verification of an Energy-Efficient Greenhouse With an Aquaponic System Using TRNSYS". University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1450432214.
Texto completoLibros sobre el tema "Building energy dynamic simulations"
Ed, Early, University of Washington y Washington State Energy Office, eds. Dynamic response of building components in residential homes: Final simulation report. [Seattle, WA?]: University of Washington, 1989.
Buscar texto completoDesideri, Umberto, Giampaolo Manfrida y Enrico Sciubba, eds. ECOS 2012. Florence: Firenze University Press, 2012. http://dx.doi.org/10.36253/978-88-6655-322-9.
Texto completoMeade, Douglas S., ed. In Quest of the Craft. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-820-0.
Texto completoPakanen, Jouko. Prediction and fault detection of building energy consumption using multi-input, single-output dynamic model. Espoo: Technical Research Centre of Finland, 1992.
Buscar texto completoBardazzi, Rossella y Leonardo Ghezzi, eds. Macroeconomic modelling for policy analysis. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-396-0.
Texto completoZocchi, Giovanni. Molecular Machines. Princeton University Press, 2018. http://dx.doi.org/10.23943/princeton/9780691173863.001.0001.
Texto completoCapítulos de libros sobre el tema "Building energy dynamic simulations"
Chiesa, Giacomo, Francesca Fasano y Paolo Grasso. "Thermal Comfort and Climatic Potential of Ventilative Cooling in Italian Climates". En Innovative Renewable Energy, 423–49. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04714-5_18.
Texto completoMa, Rui, Jiayu Chen y Xiaowei Luo. "Simulating Urban Building Energy Dynamic with Inter-Building-Effects (Ibes) Linked Building Networks". En Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 1647–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8892-1_115.
Texto completoGao, Dian-Ce. "Dynamic Simulation Platform of the Studied Building Systems". En Diagnosis and Robust Control of Complex Building Central Chilling Systems for Enhanced Energy Performance, 25–35. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0698-7_2.
Texto completoMeegahapola, Lasantha y Duane Robinson. "Dynamic Modelling, Simulation and Control of a Commercial Building Microgrid". En Smart Power Systems and Renewable Energy System Integration, 119–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30427-4_7.
Texto completoShead, T. M., I. K. Tezaur, W. L. Davis IV, M. L. Carlson, D. M. Dunlavy, E. J. Parish, P. J. Blonigan, J. Tencer, F. Rizzi y H. Kolla. "A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection". En Lecture Notes in Energy, 53–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_3.
Texto completoRamon, Delphine, Karen Allacker, Nicole P. M. van Lipzig, Frank De Troyer y Hendrik Wouters. "Future Weather Data for Dynamic Building Energy Simulations: Overview of Available Data and Presentation of Newly Derived Data for Belgium". En Energy, Environment, and Sustainability, 111–38. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3284-5_6.
Texto completoLucchi, Elena y Eva Schito. "Challenges and Opportunities for the Integration of Photovoltaic Modules in Heritage Buildings Through Dynamic Building Energy Simulations". En Lecture Notes in Mechanical Engineering, 180–94. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17594-7_14.
Texto completoTsoka, Stella. "Dynamic Simulations of High-Energy Performance Buildings: The Role of Climatic Data and the Consideration of Climate Change". En Innovative Renewable Energy, 135–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15218-4_7.
Texto completoYao, Ye y Yuebin Yu. "Dynamic Simulations with State-Space Models". En Energy and Environment Research in China, 109–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53313-0_3.
Texto completoWolf, Andreas, Andreas Witzig y Daniel Moreno. "Cross-Border Education in the Field of Renewable Energies Using a Dynamic Simulation Software". En Renewable Energy and Sustainable Buildings, 771–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18488-9_63.
Texto completoActas de conferencias sobre el tema "Building energy dynamic simulations"
Asdrubali, Francesco, Giorgio Baldinelli y Francesco Bianchi. "Comparison Between Dynamic Simulations And Real Energy Consumptions of Historical Buildings". En 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2560.
Texto completoCAZEAUX, Laurena y Marine MORAIN. "Considering Real Hypothesis In Dynamic Thermal Simulations Of Summer Comfort In Low Energy Social Housing". En 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2075.
Texto completoEisenhower, Bryan y Igor Mezić. "Extracting Dynamic Information From Whole-Building Energy Models". En ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70427.
Texto completoAjaji, Youness y Philippe André. "Support for Energy And Comfort Management in An Office Building using Smart Electrochromic Glazing: Dynamic Simulations". En 2015 Building Simulation Conference. IBPSA, 2015. http://dx.doi.org/10.26868/25222708.2015.2240.
Texto completoHu, Mengqi, Jin Wen, Fan Li, Moeed Haghnevis, Yasaman Khodadadegan, Luis Mejia Sanchez, Shanshan Wang, Xiaotian Zhuang y Teresa Wu. "An Agent Based Simulation for Building Energy System Modeling". En ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4176.
Texto completoBONTEMPS, Stephanie, Aurelie KAEMMERLEN, Geraud BLATMAN y Laurent MORA. "Reliability Of Dynamic Simulation Models For Building Energy In The Context Of Low-energy Buildings". En 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.1285.
Texto completoHirth, Stephan y Andreas Nicolai. "The novel dynamic building energy performance simulation tool SIM-VICUS". En 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.11116.
Texto completoTAYLOR, Simon, David ALLINSON, Steven FIRTH y Kevin LOMAS. "Dynamic Energy Modelling Of Uk Housing: Evaluation Of Alternative Approaches". En 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2507.
Texto completoNicolai, Andreas, Stephan Hirth y Madjid Madjidi. "SimQuality - A novel test suite for dynamic building energy simulation tools". En 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30766.
Texto completoKi KIM, Young y Hasim ALTAN. "Using Dynamic Simulation For Demonstrating The Impact Of Energy Consumption By Retrofit And Behavioural Change". En 2017 Building Simulation Conference. IBPSA, 2013. http://dx.doi.org/10.26868/25222708.2013.2322.
Texto completoInformes sobre el tema "Building energy dynamic simulations"
Judkoff, R., D. Wortman, B. O'Doherty y J. Burch. Methodology for Validating Building Energy Analysis Simulations. Office of Scientific and Technical Information (OSTI), abril de 2008. http://dx.doi.org/10.2172/928259.
Texto completoSubbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring. Office of Scientific and Technical Information (OSTI), septiembre de 1988. http://dx.doi.org/10.2172/6715546.
Texto completoKneifel, Joshua D. y Eric G. O'Rear. An Assessment of Typical Weather Year Data Impacts vs. Multi-year Weather Data on Net-Zero Energy Building Simulations. National Institute of Standards and Technology, enero de 2016. http://dx.doi.org/10.6028/nist.sp.1204.
Texto completoSubbarao, K. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary. Office of Scientific and Technical Information (OSTI), septiembre de 1988. http://dx.doi.org/10.2172/6715518.
Texto completoHalford, Alison. Building Capacity: HEED Slills Audit and Recommendations. Coventry University, marzo de 2021. http://dx.doi.org/10.18552/heed/2021/0002.
Texto completoGuidati, Gianfranco y Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), febrero de 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.
Texto completoWu, Yingjie, Selim Gunay y Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, noviembre de 2020. http://dx.doi.org/10.55461/ytgv8834.
Texto completoDuque, Earl, Steve Legensky, Brad Whitlock, David Rogers, Andrew Bauer, Scott Imlay, David Thompson y Seiji Tsutsumi. Summary of the SciTech 2020 Technical Panel on In Situ/In Transit Computational Environments for Visualization and Data Analysis. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/40887.
Texto completoInvestigation on Design and Analysis of Passenger Car Body Crash-Worthiness in Frontal Impact Using Radioss. SAE International, septiembre de 2020. http://dx.doi.org/10.4271/2020-28-0498.
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