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A novel model for steam transportation considering drainage loss in pipeline networks

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  • Wang, Hai
  • Wang, Haiying
  • Zhu, Tong
  • Deng, Wanli

Abstract

High temperature steam is still used widely in many industries. And waste steam from some industries can still be used as supplement heat sources for district heating and cooling. Drainage recovery is very valuable during steam transportation and distribution in district heating or industry heating projects in order to save energy and water. However, drainage amount collected by steam traps along the pipes can hardly be estimated precisely. A novel model was proposed in this paper to improve the simulation of steam transportation in pipes with consideration of the amount of drainage loss. In the proposed model, drainage involved terms which emblem the continuous mass loss and energy loss during the steam transportation included in mass conservation equation and energy conservation equation respectively. The proposed model was compared with models from other literatures analytically. Furthermore, the simulation results of the proposed model were validated by two steam transportation cases from Baoshan Iron & Steel Co. Shanghai. In case 1, the simulation of steam transportation in a single long pipe showed that the proposed model could achieve more accurate results than previous models. The difference between the simulation results and measured data from on-site experiment was 2.34K (0.44%) for outlet steam temperature and 0.038kg/m3 (0.56%) for outlet steam density. In case 2, the simulation of steam transportation and distribution in a steam network showed that maximum relative differences between results of proposed model and measured data from meters of a steel plant were no more than 5%.

Suggested Citation

  • Wang, Hai & Wang, Haiying & Zhu, Tong & Deng, Wanli, 2017. "A novel model for steam transportation considering drainage loss in pipeline networks," Applied Energy, Elsevier, vol. 188(C), pages 178-189.
    • Handle: RePEc:eee:appene:v:188:y:2017:i:c:p:178-189
    DOI: 10.1016/j.apenergy.2016.11.131
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    1. Chae, Song Hwa & Kim, Sang Hun & Yoon, Sung-Geun & Park, Sunwon, 2010. "Optimization of a waste heat utilization network in an eco-industrial park," Applied Energy, Elsevier, vol. 87(6), pages 1978-1988, June.
    2. Zhong, Wei & Feng, Hongcui & Wang, Xuguang & Wu, Dingfei & Xue, Minghua & Wang, Jian, 2015. "Online hydraulic calculation and operation optimization of industrial steam heating networks considering heat dissipation in pipes," Energy, Elsevier, vol. 87(C), pages 566-577.
    3. Fang, Hao & Xia, Jianjun & Jiang, Yi, 2015. "Key issues and solutions in a district heating system using low-grade industrial waste heat," Energy, Elsevier, vol. 86(C), pages 589-602.
    4. Zhang, Chuan & Zhou, Li & Chhabra, Pulkit & Garud, Sushant S. & Aditya, Kevin & Romagnoli, Alessandro & Comodi, Gabriele & Dal Magro, Fabio & Meneghetti, Antonella & Kraft, Markus, 2016. "A novel methodology for the design of waste heat recovery network in eco-industrial park using techno-economic analysis and multi-objective optimization," Applied Energy, Elsevier, vol. 184(C), pages 88-102.
    5. Persson, Urban & Münster, Marie, 2016. "Current and future prospects for heat recovery from waste in European district heating systems: A literature and data review," Energy, Elsevier, vol. 110(C), pages 116-128.
    6. Pan, Ming & Sikorski, Janusz & Akroyd, Jethro & Mosbach, Sebastian & Lau, Raymond & Kraft, Markus, 2016. "Design technologies for eco-industrial parks: From unit operations to processes, plants and industrial networks," Applied Energy, Elsevier, vol. 175(C), pages 305-323.
    7. Akbilgic, Oguz & Zhu, Da & Gates, Ian D. & Bergerson, Joule A., 2015. "Prediction of steam-assisted gravity drainage steam to oil ratio from reservoir characteristics," Energy, Elsevier, vol. 93(P2), pages 1663-1670.
    8. Duquette, Jean & Rowe, Andrew & Wild, Peter, 2016. "Thermal performance of a steady state physical pipe model for simulating district heating grids with variable flow," Applied Energy, Elsevier, vol. 178(C), pages 383-393.
    9. Jie, Pengfei & Tian, Zhe & Yuan, Shanshan & Zhu, Neng, 2012. "Modeling the dynamic characteristics of a district heating network," Energy, Elsevier, vol. 39(1), pages 126-134.
    10. Fang, Hao & Xia, Jianjun & Zhu, Kan & Su, Yingbo & Jiang, Yi, 2013. "Industrial waste heat utilization for low temperature district heating," Energy Policy, Elsevier, vol. 62(C), pages 236-246.
    11. Ashrafi, Omid & Navarri, Philippe & Hughes, Robin & Lu, Dennis, 2016. "Heat recovery optimization in a steam-assisted gravity drainage (SAGD) plant," Energy, Elsevier, vol. 111(C), pages 981-990.
    12. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
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    5. He, Guoxi & Li, Yansong & Huang, Yuanjie & Sun, Liying & Liao, Kexi, 2019. "A framework of smart pipeline system and its application on multiproduct pipeline leakage handling," Energy, Elsevier, vol. 188(C).
    6. Wang, Hai & Meng, Hua, 2018. "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, Elsevier, vol. 160(C), pages 171-183.
    7. Xinyong Gao & Lijun Zheng & Yaran Wang & Yan Jiang & Yuran Zhang & Wei Fan, 2024. "Simulation of Coupled Hydraulic–Thermal Characteristics for Energy-Saving Control of Steam Heating Pipeline," Sustainability, MDPI, vol. 16(12), pages 1-17, June.
    8. Zhuang, Wennan & Zhou, Suyang & Chen, Jinyi & Gu, Wei, 2024. "Operation optimization of electricity-steam coupled industrial energy system considering steam accumulator," Energy, Elsevier, vol. 289(C).
    9. Wang, Hai & Wang, Haiying & Haijian, Zhou & Zhu, Tong, 2017. "Optimization modeling for smart operation of multi-source district heating with distributed variable-speed pumps," Energy, Elsevier, vol. 138(C), pages 1247-1262.
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