The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storage
Open accessAbstract
The key feature of Adiabatic Compressed Air Energy Storage (A-CAES) is the reuse of the heat generated from the air compression process at the stage of air expansion. This increases the complexity of the whole system since the heat exchange and thermal storage units must have the capacities and performance to match the air compression/expansion units. Thus it raises a strong demand in the whole system modelling and simulation tool for A-CAES system optimisation. The paper presents a new whole system mathematical model for A-CAES with simulation implementation and the model is developed with consideration of lowing capital cost of the system. The paper then focuses on the study of system efficiency improvement strategies via parametric analysis and system structure optimisation. The paper investigates how the system efficiency is affected by the system component performance and parameters. From the study, the key parameters are identified, which give dominant influences in improving the system efficiency. The study is extended onto optimal system configuration and the recommendations are made for achieving higher efficiency, which provides a useful guidance for A-CAES system design.
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Cites
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Luo, X., Wang, J., Dooner, M., & Clarke, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.09.081 · Cited by 3,869
Self-citationProgress in electrical energy storage system: a critical review
Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009) · Progress in Natural Science · doi:10.1016/j.pnsc.2008.07.014 · Cited by 3,746
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Krishan, O., & Suhag, S. (2019) · International Journal of Energy Research · doi:10.1002/er.4285 · Cited by 305
Rana, M. M., Uddin, M., Sarkar, M. R., Meraj, S. T., Shafiullah, G. M., Muyeen, S. M., Islam, M. A., & Jamal, T. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107811 · Cited by 292
Xue, X., Lv, J., Chen, H., Xu, G., & Li, Q. (2022) · Energy · doi:10.1016/j.energy.2022.125367 · Cited by 44
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Metadata
- Authors
- Luo, X., Wang, J., Krupke, C., Wang, Y., Sheng, Y., Li, J., Xu, Y., Wang, D., Miao, S., & Chen, H.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 162
- Pages
- 589-600
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2177029452
- Cited by
- 244
- References
- 3
- FWCI
- 16.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Luo, X., Wang, J., Krupke, C., Wang, Y., Sheng, Y., Li, J., Xu, Y., Wang, D., Miao, S., & Chen, H. (2016). Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storage. Applied Energy. https://doi.org/10.1016/j.apenergy.2015.10.091
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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