EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 581 (2024) E3S Web Conf., 581 (2024) 01049 References
Open Access
Issue
E3S Web Conf.
Volume 581, 2024
Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production
Article Number 01049
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202458101049
Published online 21 October 2024
  1. Antypov, Ievgeniy and Mishchenko, A. and Shelimanova, O. and Tarasenko, S. and Savchenko, I. and Kozhan, D. Technical and economic justification of the choice of the optimal design of the heating device with the function of heat accumulation. Energy and automation. (2023). https://doi.org/10.31548/energiya1(65).2023.077 [Google Scholar]
  2. Li, Qibin and Liu, Hong. Heating Performance and Energy-Efficiency Evaluation of a Personal Heating Device: Numerical Simulation and Experimental Validation. International Journal of Engineering and Technology. 15. 105-110. (2023). https://doi.org/10.7763/IJET.2023.V15.1229 [CrossRef] [Google Scholar]
  3. Petrenko, V. and Petrenko, A. and Holiakova, I. Prediction of the dependence of the indoor air temperature on the change in the working characteristics of the water heating system. Ventilation, Illumination and Heat Gas Supply. 43. 38-49. (2022). https://doi.org/10.32347/2409-2606.2022.43.38-49 [CrossRef] [Google Scholar]
  4. Abramchuk, Stanislav and Pugovkin, Alexey and Kuprekov, Stepan and Stepnoy, Victor. Dynamic method for measuring thermal characteristics of heating devices. E3S Web of Conferences. 458. (2023). https://doi.org/10.1051/e3sconf/202345801021 [CrossRef] [EDP Sciences] [Google Scholar]
  5. Sargsyan, Samvel and Agafonova, Vera. Dependence of changes in the nominal heat flow of tubular heating devices on their design features. BIO Web of Conferences. 93. (2024). https://doi.org/10.1051/bioconf/20249303029 [Google Scholar]
  6. Petrenko, Viktor and Dikarev, Konstantin and Petrenko, Anatolii and Holiakova, Irina. Impact of Changes of Performance Characteristics of Water Heating System on Indoor Air Temperature. (2023). https://doi.org/10.1007/978-3-031-14141-6_31 [Google Scholar]
  7. Akhmetova, I. and Lapin, K. Optimal frequency of temperature change of a heat transfer agent on a heat source and the influence of the rate of change thereof on heat energy loss. Power engineering: research, equipment, technology. 25. 139-149. (2023). https://doi.org/10.30724/1998-9903-2023-25-3-139-149 [CrossRef] [Google Scholar]
  8. Yatsyshyn, Teodoziia and Fursa, Roman and Liakh, Mykhailo and Mykhailiuk, Vasyl and Fursa, Tatiana. Improvement of Energy Efficiency and Eco-improvement of Heating Equipment. (2023). https://doi.org/10.1007/978-3-031-35088-7_23 [Google Scholar]
  9. Novoseltsev, B and Zherlykina, M and Garmonov, K. Maintenance of heat stability of the heating system work in a structure. IOP Conference Series: Materials Science and Engineering. 962. 032003. (2020). https://doi.org/10.1088/1757-899X/962/3/032003 [CrossRef] [Google Scholar]
  10. Sinakovics, M. and Zajacs, Aleksandrs and Paļčikovskis, Artūrs and Jačņevs, Vladislavs. Analysis of the Energy Consumption for Heating in Schools. Latvian Journal of Physics and Technical Sciences. 61. 80-88. (2024). https://doi.org/10.2478/lpts-2024-0014 [CrossRef] [Google Scholar]
  11. Song, Yangyi and Du, Ao and Cui, Tong. Using the Degree-Day Method to Analyze Central Heating Energy Consumption in Cities of Northern China. Sustainability. 16. 1008. (2024). https://doi.org/10.3390/su16031008. [CrossRef] [Google Scholar]
  12. Ma, Rui and Fan, Hui and Hao, Xiaoguang and Li, Jianfeng and Wang, Hui. Operation of Integrated Energy System Based on Heating System. (2024). https://doi.org/10.1007/978-981-97-0877-2_31 [Google Scholar]
  13. Hernández, Francisco and Suárez, José and Cantalejo, Juan and Muriano, Mari. Impact of zoning heating and air conditioning control systems in users comfort and energy efficiency in residential buildings. Energy Conversion and Management. 267. 115954. (2022). https://doi.org/10.1016/j.enconman.2022.115954 [CrossRef] [Google Scholar]
  14. Alayi, Reza and Ebazadeh, Yaser and Ma'arif, Alfian and Suwarno, Iswanto. Optimizing the Thermal Energy Consumption in Heating Systems of Residential Buildings: A Case Study. (2021). https://doi.org/10.1063/5.0185758 [Google Scholar]
  15. Kuzmin, S and Zelenina, A. Analysis of the impact of the volume and planning parameters of a residential building on the estimated capacity of the heating system. IOP Conference Series: Earth and Environmental Science. 751. 012118. (2021). https://doi.org/10.1088/1755-1315/751/1/012118 [CrossRef] [Google Scholar]
  16. Cavazzini, Giovanna and Benato, Alberto. Residential Buildings Heating and Cooling Systems: The Key Role of Monitoring Systems and Real-Time Analysis in the Detection of Failures and Management Strategy Optimization. Processes. 11. 1365. (2023). https://doi.org/10.3390/pr11051365 [CrossRef] [Google Scholar]
  17. Smidl, Vaclav and Sirový, Martin and Gevorkov, Levon and Rassõlkin, Anton and Kallaste, Ants and Vaimann, Toomas. Model for Energy Management of Residential Building Heating System. (2020). https://doi.org/10.1109/IWED48848.2020.9069503 [Google Scholar]
  18. Aacharya, Ananta and Koirala, Robin and Khanal, Shuvas and Baral, Bivek. Comparative analysis of radiant and radiator heating system for a residential building. IOP Conference Series: Materials Science and Engineering. 1279. 012001. (2023). https://doi.org/10.1088/1757-899X/1279/1/012001 [CrossRef] [Google Scholar]
  19. Gil, Ma and Sanz, Juan and Guerrero, Ignacio and Cabanas, Manés. UAS IR-Thermograms Processing and Photogrammetry of Thermal Images for the Inspection of Building Envelopes. Applied Sciences. 13(6). 3948. (2023). https://doi.org/10.3390/app13063948 [Google Scholar]
  20. Barbosa, Maria and Rosse, Vicente and Laurindo, Naíra. Thermography evaluation strategy proposal due moisture damage on building facades. Journal of Building Engineering. 43. 102555. (2021). https://doi.org/10.1016/j.jobe.2021.102555 [CrossRef] [Google Scholar]
  21. Almeida, F and Kim, Hojong and Lamichhane, Nirjal and Kim, Cheolsang and Ranjit, Shrestha. Innovations in Building Diagnostics and Condition Monitoring: A Comprehensive Review of Infrared Thermography Applications. Buildings. 13(11). 2829. (2023). https://doi.org/10.3390/buildings13112829 [CrossRef] [Google Scholar]
  22. Tejedor, Blanca and Gaspar, Kàtia and Casals, Miquel and Gangolells, Marta. Analysis of the Applicability of Non-Destructive Techniques to Determine In Situ Thermal Transmittance in Passive House Façades. Applied Sciences. 10(23). 8337. (2020). https://doi.org/10.3390/app10238337 [CrossRef] [Google Scholar]
  23. Moga, Ligia and Moga, I and Șoimoșan, T and Moldovan, Ioana and Rădulescu, M and Rădulescu, A and Iancu, Ionut. Infrared thermography application for in-situ determination of the building envelope thermal performance. Journal of Physics: Conference Series. 2654. 012122. (2023). https://doi.org/10.1088/1742-6596/2654/1/012122 [CrossRef] [Google Scholar]
  24. Rodriguez, Jose and Frias, Jesus and Cespón, José and Vilariño, Lucia. Thermographic comparative study using smartphone and camera technology in buildings. DYNA. 99. 12-16. (2024). https://doi.org/10.6036/11002 [CrossRef] [Google Scholar]
  25. Chicherin, Stanislav and Zhuikov, Andrey and Junussova, Lyazzat. District Heating for Poorly Insulated Residential Buildings-Comparing Results of Visual Study, Thermography, and Modeling. Sustainability. 15. 14908. (2023). https://doi.org/10.3390/su152014908 [CrossRef] [Google Scholar]
  26. Brebu, Floarea-Maria and Gridan, Maria and David, Viorica and Alina Corina, Bălă. Thermal Imaging Used in Building Thermal Evaluation. Romanian Journal of Transport Infrastructure. 12. 1-15. (2024). https://doi.org/10.2478/rjti-2023-0009 [CrossRef] [Google Scholar]
  27. Chen, Xiaohui and Chen, Lin and Chen, Lingjun and Chen, Peng and Sheng, Guanqun and Yu, Xiaosheng and Zou, Yaobin. Modeling thermal infrared image degradation and real-world super-resolution under background thermal noise and streak interference. IEEE Transactions on Circuits and Systems for Video Technology. Pp. 1-1. (2024). https://doi.org/10.1109/TCSVT.2023.3349182 [Google Scholar]
  28. Kawabata, Rei and Li, Kou and Araki, Teppei and Akiyama, Mihoko and Sugimachi, Kaho and Matsuoka, Nozomi and Takahashi, Norika and Sakai, Daiki and Matsuzaki, Yuto and Koshimizu, Ryo and Yamamoto, Minami and Takai, Leo and Odawara, Ryoga and Abe, Takaaki and Izumi, Shintaro and Kurihira, Naoko and Uemura, Takafumi and Kawano, Yukio and Sekitani, Tsuyoshi. Ultraflexible Wireless Imager Integrated with Organic Circuits for Broadband Infrared Thermal Analysis. Advanced Materials. 36. e2309864. (2024). https://doi.org/10.1002/adma.202309864 [Google Scholar]
  29. Bond, Wesley and Panicker, Vivek and Mcmillan, Jamie and Simpson, Rob and Hayes, Michael and Machin, Graham and Casarosa, Gianluca and Etchells, James. A metrology enabled thermal imager for thermal vacuum testing. Quantitative InfraRed Thermography Journal. 20. 1-16. (2022). https://doi.org/10.1080/17686733.2022.2056986 [Google Scholar]
  30. Kolobrodov, Valentyn and Sokol, Bohdan. Development of a polarimetric thermal imager calibration method. Measurements infrastructure. (2024). https://doi.org/10.33955/v7(2024)-038 [Google Scholar]
  31. Vavilov, Vladimir. Active thermal NDT: problems and solutions. 98610I. (2016). https://doi.org/10.1117/12.2222980 [Google Scholar]
  32. Kolobrodov, Valentine and Mykytenko, Volodymyr and Tymchik, Gregory and Kolobrodov, Mykyta and Sokol, Bohdan. Errors in thermal imagers temperature resolution determining. Bulletin of Kyiv Polytechnic Institute. Series Instrument Making. 51-57. (2022). https://doi.org/10.20535/1970.63(1).2022.260640 [Google Scholar]
  33. Chulkov, Arsenii and Vavilov, Vladimir and Pawar, S. Optimizing components and evaluating technical performance of IR thermographic NDT systems. 98610M. (2016). https://doi.org/10.1117/12.2222981 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.