Performance optimization of a free piston stirling engine using multi-section regenerators based on the response surface methodology. (15th December 2022)
- Record Type:
- Journal Article
- Title:
- Performance optimization of a free piston stirling engine using multi-section regenerators based on the response surface methodology. (15th December 2022)
- Main Title:
- Performance optimization of a free piston stirling engine using multi-section regenerators based on the response surface methodology
- Authors:
- Chen, Pengfan
Zhong, Geyu
Niu, Yafeng
Liu, Yingwen - Abstract:
- Abstract: In this paper, a TD-Sage model of a beta-type free piston Stirling engine (β-FPSE) is put forward, which combines thermodynamic-dynamic model with the Sage model. Considering the inhomogeneous distribution of thermal penetration depth, multi-section wire mesh regenerators are proposed to enhance the performance of the FPSE based on the response surface methodology (RSM) and desirability approach. The quadratic regression models of power and efficiency are derived based on the analysis of variance, and the maximum deviation between prediction values from RSM model and actual values from Sage model is less than 5%. The interactive effects of the factors are analyzed and the available energy loss (AE loss) analysis is presented to interpret the mechanism of improvement. The optimal design parameters of two- and three-section regenerators are obtained. Moreover, the maximum output power is obtained when the AE loss of the regenerator is minimized. Compared with the optimal single-section regenerator, the optimal two-section regenerator that consists of meshes with mesh number of 60# (50%) and 80# (50%) improves the power and efficiency by approximately 3.6% and 5.8% respectively. The optimal three-section regenerator that consists of meshes with mesh numbers of 60# (43%), 80# (25%), and 90# (32%) improves the power and efficiency by approximately 4.1% and 6.7%, respectively. Highlights: The "TD-Sage" model of the β-FPSE is put forward. Multi-section wire meshAbstract: In this paper, a TD-Sage model of a beta-type free piston Stirling engine (β-FPSE) is put forward, which combines thermodynamic-dynamic model with the Sage model. Considering the inhomogeneous distribution of thermal penetration depth, multi-section wire mesh regenerators are proposed to enhance the performance of the FPSE based on the response surface methodology (RSM) and desirability approach. The quadratic regression models of power and efficiency are derived based on the analysis of variance, and the maximum deviation between prediction values from RSM model and actual values from Sage model is less than 5%. The interactive effects of the factors are analyzed and the available energy loss (AE loss) analysis is presented to interpret the mechanism of improvement. The optimal design parameters of two- and three-section regenerators are obtained. Moreover, the maximum output power is obtained when the AE loss of the regenerator is minimized. Compared with the optimal single-section regenerator, the optimal two-section regenerator that consists of meshes with mesh number of 60# (50%) and 80# (50%) improves the power and efficiency by approximately 3.6% and 5.8% respectively. The optimal three-section regenerator that consists of meshes with mesh numbers of 60# (43%), 80# (25%), and 90# (32%) improves the power and efficiency by approximately 4.1% and 6.7%, respectively. Highlights: The "TD-Sage" model of the β-FPSE is put forward. Multi-section wire mesh regenerators are proposed. AE loss analysis is presented to interpret the mechanism of improvement. … (more)
- Is Part Of:
- Energy. Volume 261:Part B(2022)
- Journal:
- Energy
- Issue:
- Volume 261:Part B(2022)
- Issue Display:
- Volume 261, Issue b (2022)
- Year:
- 2022
- Volume:
- 261
- Issue:
- b
- Issue Sort Value:
- 2022-0261-NaN-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-15
- Subjects:
- Free piston stirling engine -- Multi-section regenerator -- Response surface methodology -- Optimization
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2022.125221 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24199.xml