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PubMed Publications| Keyword search (4,164 papers available) |  |
"Zhang C" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | A type-3 fuzzy synchronization system subjected to hysteresis quantizer inputs and unknown dynamics: Applicable to financial and physical chaotic systems | Tian M; Mohammadzadeh A; Taghavifar H; Sakthivel R; Zhang C; | 41381323 ENCS |
| 2 | Author Correction: Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves | Machard A; Salvati A; P Tootkaboni M; Gaur A; Zou J; Wang LL; Baba F; Ge H; Bre F; Bozonnet E; Corrado V; Luo X; Levinson R; Lee SH; Hong T; Salles Olinger M; Machado RMES; da Guarda ELA; Veiga RK; Lamberts R; Afshari A; Ramon D; Ngoc Dung Ngo H; Sengupta A; Breesch H; Heijmans N; Deltour J; Kuborn X; Sayadi S; Qian B; Zhang C; Rahif R; Attia S; Stern P; Holzer P; | 39814748 PHYSICS |
| 3 | Sphingolipids containing very long-chain fatty acids regulate Ypt7 function during the tethering stage of vacuole fusion | Zhang C; Calderin JD; Hurst LR; Gokbayrak ZD; Hrabak MR; Balutowski A; Rivera-Kohr DA; Kazmirchuk TDD; Brett CL; Fratti RA; | 39307308 BIOLOGY |
| 4 | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves | Machard A; Salvati A; P Tootkaboni M; Gaur A; Zou J; Wang LL; Baba F; Ge H; Bre F; Bozonnet E; Corrado V; Luo X; Levinson R; Lee SH; Hong T; Salles Olinger M; Machado RMES; da Guarda ELA; Veiga RK; Lamberts R; Afshari A; Ramon D; Ngoc Dung Ngo H; Sengupta A; Breesch H; Heijmans N; Deltour J; Kuborn X; Sayadi S; Qian B; Zhang C; Rahif R; Attia S; Stern P; Holzer P; | 38782916 PHYSICS |
| 5 | Nonsingleton Gaussian type-3 fuzzy system with fractional order NTSMC for path tracking of autonomous cars | Taghavifar H; Mohammadzadeh A; Zhang W; Zhang C; | 38160078 ENCS |
| 6 | Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia. | Zohner CM, Mo L, Renner SS, Svenning JC, Vitasse Y, Benito BM, Ordonez A, Baumgarten F, Bastin JF, Sebald V, Reich PB, Liang J, Nabuurs GJ, de-Miguel S, Alberti G, Antón-Fernández C, Balazy R, Brändli UB, Chen HYH, Chisholm C, Cienciala E, Dayanandan S, Fayle TM, Frizzera L, Gianelle D, Jagodzinski AM, Jaroszewicz B, Jucker T, Kepfer-Rojas S, Khan ML, Kim HS, Korjus H, Johannsen VK, Laarmann D, Lang M, Zawila-Niedzwiecki T, Niklaus PA, Paquette A, Pretzsch H, Saikia P, Schall P, Šeben V, Svoboda M, Tikhonova E, Viana H, Zhang C, Zhao X, Crowther TW | 32393624 BIOLOGY |
| 7 | A combined heterotrophic and sulfur-based autotrophic process to reduce high concentration perchlorate via anaerobic baffled reactors: Performance advantages of a step-feeding strategy. | Li K, Guo J, Li H, Han Y, Chen Z, Song Y, Xing Y, Zhang C | 30738356 ENCS |
| Title: | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves | ||||
| Authors: | Machard A, Salvati A, P Tootkaboni M, Gaur A, Zou J, Wang LL, Baba F, Ge H, Bre F, Bozonnet E, Corrado V, Luo X, Levinson R, Lee SH, Hong T, Salles Olinger M, Machado RMES, da Guarda ELA, Veiga RK, Lamberts R, Afshari A, Ramon D, Ngoc Dung Ngo H, Sengupta A, Breesch H, Heijmans N, Deltour J, Kuborn X, Sayadi S, Qian B, Zhang C, Rahif R, Attia S, Stern P, Holzer P | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38782916/ | ||||
| DOI: | 10.1038/s41597-024-03319-8 | ||||
| Publication: | Scientific data | ||||
| Keywords: | |||||
| PMID: | 38782916 | Category: | Date Added: | 2024-05-24 | |
| Dept Affiliation: |
PHYSICS
1 Scientific and Technical Building Research Centre (CSTB), Energy and Environment Department, Grenoble, France. anais.machard@cstb.fr. 2 Laboratory of Engineering Sciences for the Environment (LaSIE), La Rochelle University, La Rochelle, France. anais.machard@cstb.fr. 3 Architecture, Energy & Environment (AiE), Polytechnic University of Catalonia, Barcelona, Spain. 4 Brunel University London, London, UK. 5 Department of Energy, Politecnico di Torino, Torino, Italy. 6 National Research Council Canada, Ottawa, Canada. 7 Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada. 8 Faculty of Engineering, British University in Dubai, Dubai, UAE. 9 Institute of Construction and Building Materials, Technical University of Darmstadt, Darmstadt, 64287, Germany. 10 Centro de Investigación de Métodos Computacionales (CIMEC), UNL/CONICET, Santa Fe, 3000, Argentina. 11 Laboratory of Engineering Sciences for the Environment (LaSIE), La Rochelle University, La Rochelle, France. 12 Lawrence Berkeley National Laboratory (LBNL), Berkeley, California, USA. 13 Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina, Florianopolis, Brazil. 14 Fraunhofer Institute for Building Physics IBP, Valley, Germany. 15 Department of Architecture, Faculty of Engineering Science, KU Leuven, Belgium. 16 Building Physics and Sustainable Design, Department of Civil Engineering, KU Leuven, Belgium. 17 Department of Environmental Architecture, Faculty of Architecture and Planning, Hanoi University of Civil Engineering, Ha Noi, Viet Nam. 18 Buildwise, Brussels, Belgium. 19 University of Gävle, 801 76, Gävle, Sweden. 20 Department of the Built Environment, Aalborg University, Aalborg, Denmark. 21 China Southwest Architecture Design and Research Institute Corp. Ltd., Chengdu, China. 22 Sustainable Building Design Lab, Department UEE, Faculty of Applied Sciences, Université de Liège, Liège, Belgium. 23 Institute of Building Research and Innovation (IBR&I), Wien, Austria. |
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Description: |
We present unprecedented datasets of current and future projected weather files for building simulations in 15 major cities distributed across 10 climate zones worldwide. The datasets include ambient air temperature, relative humidity, atmospheric pressure, direct and diffuse solar irradiance, and wind speed at hourly resolution, which are essential climate elements needed to undertake building simulations. The datasets contain typical and extreme weather years in the EnergyPlus weather file (EPW) format and multiyear projections in comma-separated value (CSV) format for three periods: historical (2001-2020), future mid-term (2041-2060), and future long-term (2081-2100). The datasets were generated from projections of one regional climate model, which were bias-corrected using multiyear observational data for each city. The methodology used makes the datasets among the first to incorporate complex changes in the future climate for the frequency, duration, and magnitude of extreme temperatures. These datasets, created within the IEA EBC Annex 80 "Resilient Cooling for Buildings", are ready to be used for different types of building adaptation and resilience studies to climate change and heatwaves. |
