Open Access
Issue |
E3S Web Conf.
Volume 197, 2020
75th National ATI Congress – #7 Clean Energy for all (ATI 2020)
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 10 | |
Section | Energy Storage and Integration of Energy Networks. Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202019701004 | |
Published online | 22 October 2020 |
- D. Connolly, H. Lund, B.V. Mathiesen, S. Werner, B. Möller, U. Persson, T. Boermans, D. Trier, P.A. Østergaard, S. Nielsen, Heat Roadmap Europe: Combining district heating with heat savings to decarbonize the EU energy system, Energy Policy 65, 475-489 (2014). [CrossRef] [Google Scholar]
- P. Woords and J. Overgaard, “Historical development of district heating and characteristics of a modern district heating system”, in Advanced District Heating and Cooling (DHC) Systems, edited by R. Wiltshire (Woodhead Publishing Series in Energy, 2016), pp. 3-15. [CrossRef] [Google Scholar]
- H. Lund, S. Werner, R. Wiltshire, S. Svendsen, J.E. Thorsen, F. Hvelplund, B.V. Mathiesen, 4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems, Energy 68, 1-11 (2014). [CrossRef] [EDP Sciences] [Google Scholar]
- H. Lund, P.A. Østergaard, M. Chang, S. Werner, S. Svendsen, P. Sorknæs, J.E. Thorsen, F. Hvelplund, B.O.G. Mortensen, B.V. Mathiesen, C. Bojesen, N. Duic, X. Zhang, B. Möller, The status of 4th generation district heating: Research and results, Energy 164, 147-159 (2018). [CrossRef] [Google Scholar]
- H. Pálsson, H. Larsen, H. Ravn, B. Bohm, J. Zhoud, Equivalent Models of District Heating Systems, Proceedings of the 7th International Symposium on District Heating and Cooling (1999). [Google Scholar]
- M. Betancourt Schwartz, M. T. Mabrouk, C. Santo Silva, P. Haurant, B. Lacarrière, Modified finite volumes method for the simulation of dynamic district heating networks, Energy 182, 954-964 (2019). [CrossRef] [Google Scholar]
- A. Benonysson, Dynamic modelling and operational optimization of district heating systems, Laboratory of Heating and Air Conditioning, DTU (1991). [Google Scholar]
- I. Gabrielaitiene, B. Bøhm, B. Sunden, Evaluation of Approaches for Modeling Temperature Wave Propagation in District Heating Pipelines, Heat Transfer Engineering 29, 45-56 (2008). [CrossRef] [Google Scholar]
- V.D. Stevanovic, B. Zivkovic, S. Prica, B. Maslovaric, V. Karamarkovic, V. Trkulja, Prediction of thermal transients in district heating systems, Energy Conversion and Management 50, 2167-2173 (2009). [CrossRef] [Google Scholar]
- Y. Wang, S. You, H. Zhang, X. Zheng, W. Zheng, Q. Miao, G. Lu, Thermal transient prediction of district heating pipeline: Optimal selection of the time and spatial steps for fast and accurate calculation, Applied Energy 206, 900-910 (2017). [CrossRef] [Google Scholar]
- L. Vasek, V. Dolinay, V. Vasek, Pulled Plug-flow Model for 4th Generation District Heating, IFAC PapersOnLine 52-4, 12-17 (2019). [CrossRef] [Google Scholar]
- J. Zheng, Z. Zhou, J. Wang, Function method for dynamic temperature simulation of district heating network, Applied Thermal Engineering 126, 682-688 (2017). [CrossRef] [Google Scholar]
- P. Jie, Z. Tian, S. Yuan, N. Zhu, Modeling the dynamic characteristics of a district heating network, Energy 39, 126-134 (2012). [CrossRef] [Google Scholar]
- H. Wang & H. Meng, Improved thermal transient modeling with new 3-order numerical solution for a district heating network with consideration of the pipe wall’s thermal inertia, Energy 160, 171-183 (2018). [CrossRef] [Google Scholar]
- J. Vivian, P. Monsalvete Álvarez de Uribarri, U. Eicker, A. Zarrella, The effect of discretization on the accuracy of two district heating network models based on finitedifference methods, Energy Procedia 149, 625-634 (2018). [CrossRef] [Google Scholar]
- F. Harary, Graph theory, New Delhi: Narosa Publishing House (1995). [Google Scholar]
- H. K. Versteeg, W. Malalasekera, An introduction to computational fluid dynamics: The finite volume method, Pearson Education Limited (2017). [Google Scholar]
- A. Sciacovelli, V. Verda, B. Borchiellini, Numerical design of thermal systems, CLUT Editrice (2015). [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.