Optimization design and performance analysis of ammonia heat pipe air heater under low ambient temperature conditions. (5th May 2023)
- Record Type:
- Journal Article
- Title:
- Optimization design and performance analysis of ammonia heat pipe air heater under low ambient temperature conditions. (5th May 2023)
- Main Title:
- Optimization design and performance analysis of ammonia heat pipe air heater under low ambient temperature conditions
- Authors:
- Hu, Lingfeng
Chen, Yihan
Wu, Cong
Zhang, Houlei - Abstract:
- Highlights: A new design to avoid freezing by using low-grade energy in power plants is presented. Ammonia heat pipe air heater is optimized by hybrid intelligent algorithm. New two-pipe diameter design is proposed which behaves better than one-pipe diameter design. Optimal designs reduce both power consumption and weight greatly. Abstract: In coal-fired power plants, steam-based air heaters consume high-quality steam and are easily damaged due to water freezing under low ambient temperature conditions. In this paper, we propose an ammonia heat pipe air heater design with hot water in power plants as the heat source, which can eliminate the risk of freezing and save high-quality steam. Based on distributed parameter model and hybrid genetic particle swarm optimization algorithm, an ammonia heat pipe air heater with one-pipe diameter is designed and optimized. The results show that the optimal one-pipe diameter design consumes much less power and owns less weight than the normal empirical design. A new and optimal two-pipe diameter design (i.e., multi-scale design) is further proposed, which drops the power consumption by 10.1% and the weight by 9.4% compared to the optimal one-pipe diameter design. The two optimal designs require different geometrical parameters, especially the pipe diameter(s), the pipe length, the number of heat pipes, and the air side longitudinal pitch. In addition, the two optimal designs provide slightly higher outlet air temperature uniformity thanHighlights: A new design to avoid freezing by using low-grade energy in power plants is presented. Ammonia heat pipe air heater is optimized by hybrid intelligent algorithm. New two-pipe diameter design is proposed which behaves better than one-pipe diameter design. Optimal designs reduce both power consumption and weight greatly. Abstract: In coal-fired power plants, steam-based air heaters consume high-quality steam and are easily damaged due to water freezing under low ambient temperature conditions. In this paper, we propose an ammonia heat pipe air heater design with hot water in power plants as the heat source, which can eliminate the risk of freezing and save high-quality steam. Based on distributed parameter model and hybrid genetic particle swarm optimization algorithm, an ammonia heat pipe air heater with one-pipe diameter is designed and optimized. The results show that the optimal one-pipe diameter design consumes much less power and owns less weight than the normal empirical design. A new and optimal two-pipe diameter design (i.e., multi-scale design) is further proposed, which drops the power consumption by 10.1% and the weight by 9.4% compared to the optimal one-pipe diameter design. The two optimal designs require different geometrical parameters, especially the pipe diameter(s), the pipe length, the number of heat pipes, and the air side longitudinal pitch. In addition, the two optimal designs provide slightly higher outlet air temperature uniformity than the non-optimal design. Of the three working fluids, i.e., ammonia, methanol, and ethanol, the ammonia heat pipe air heater performs best. … (more)
- Is Part Of:
- Applied thermal engineering. Volume 225(2023)
- Journal:
- Applied thermal engineering
- Issue:
- Volume 225(2023)
- Issue Display:
- Volume 225, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 225
- Issue:
- 2023
- Issue Sort Value:
- 2023-0225-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-05-05
- Subjects:
- Low ambient temperature -- Heat pipe -- Air heater -- Optimization -- Multi-scale -- Hybrid intelligent algorithm
Heat engineering -- Periodicals
Heating -- Equipment and supplies -- Periodicals
Periodicals
621.40205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13594311 ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.applthermaleng.2023.120202 ↗
- Languages:
- English
- ISSNs:
- 1359-4311
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 1580.101000
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