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Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers (2022)
Book Chapter
Yang, L., Cai, Z., Li, C., Guo, C., & He, Q. (2023). Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers. In J. Miocic, N. Heinemann, K. Edlmann, J.

Aquifers have advantages over salt caverns as the storage vessels for compressed air energy storage due to their wider availability for suitable sites and lower one-off capital investment for construction. We conducted numerical simulations for compr... Read More about Numerical assessments of the effects of injected air temperature and well configuration on the cycle performance in compressed air energy storage in aquifers.

Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage (2022)
Journal Article
Cai, Z., Zhang, K., & Guo, C. (2022). Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage. International Journal of Hydrogen Energy, 47(14), 8929-8942. https://doi.org/10.1016/j.ijhydene.2021.12.224

Underground hydrogen storage can store grid-scale energy for balancing both short-term and long-term inter-seasonal supply and demand. However, there is no numerical simulator which is dedicated to the design and optimisation of such energy storage t... Read More about Development of a Novel Simulator for Modelling Underground Hydrogen and Gas Mixture Storage.

Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance (2021)
Journal Article
Fjelkestam Frederiksen, C. A., & Cai, Z. (2022). Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance. Applied Energy, 306, Article 118152. https://doi.org/10.1016/j.apenergy.2021.118152

• Extra-terrestrial Solar Irradiance has been validated for PV output forecasting. • The machine learning approach successfully captures huge intra-daily PV output variations. • Study paves the way to develop a simple and effective PV output forecast... Read More about Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance.

Utility-scale Subsurface Hydrogen Storage: UK Perspectives and Technology (2021)
Journal Article
Wallace, R. L., Cai, Z., Zhang, H., Zhang, K., & Guo, C. (2021). Utility-scale Subsurface Hydrogen Storage: UK Perspectives and Technology. International Journal of Hydrogen Energy, 46(49), 25137-25159. https://doi.org/10.1016/j.ijhydene.2021.05.034

To reduce effects from anthropogenically induced climate change renewable energy systems are being implemented at an accelerated rate, the UKs wind capacity alone is set to more than double by 2030. However, the intermittency associated with these sy... Read More about Utility-scale Subsurface Hydrogen Storage: UK Perspectives and Technology.

Analysis of the Polypropylene-Based Aluminium-Air Battery (2021)
Journal Article
Tan, W. C., Saw, L. H., Yew, M. C., Sun, D., Cai, Z., Chong, W. T., & Kuo, P. (2021). Analysis of the Polypropylene-Based Aluminium-Air Battery. Frontiers in Energy Research, 9, Article 599846. https://doi.org/10.3389/fenrg.2021.599846

Global energy demand is rising due to the rapid development and adoption of new technologies in every sector. Hence, there is a need to introduce a clean energy source that does not cause damage to the environment. Aluminium-air battery with its high... Read More about Analysis of the Polypropylene-Based Aluminium-Air Battery.

The promise and challenges of utility-scale compressed air energy storage in aquifers (2021)
Journal Article
Guo, C., Li, C., Zhang, K., Cai, Z., Ma, T., Maggi, F., …Shen, L. (2021). The promise and challenges of utility-scale compressed air energy storage in aquifers. Applied Energy, 286, Article 116513. https://doi.org/10.1016/j.apenergy.2021.116513

Widely distributed aquifers have been proposed as effective storage reservoirs for compressed air energy storage (CAES). This aims to overcome the limitations of geological conditions for conventional utility-scale CAES, which has to date used cavern... Read More about The promise and challenges of utility-scale compressed air energy storage in aquifers.

Modelling a field-scale compressed air energy storage in porous rock reservoirs (2020)
Presentation / Conference Contribution
Yang, L., Guo, C., Li, C., He, Q., Zhang, K., & Cai, Z. (2019, August). Modelling a field-scale compressed air energy storage in porous rock reservoirs. Presented at International Conference on Applied Energy 2019, Västerås, Sweden

Compressed Air Energy Storage (CAES) is one of the promising methods to store the surplus solar and wind energy in a grid scale . In this study, we used a non-isothermal multiphase flow simulator to model a field-scale study o... Read More about Modelling a field-scale compressed air energy storage in porous rock reservoirs.

Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin (2020)
Journal Article
Chao, N., Jin, T., Cai, Z., Chen, G., Liu, X., & Wang, Z. (2021). Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin. Journal of Hydrology, 595, Article 125661. https://doi.org/10.1016/j.jhydrol.2020

Terrestrial water storage (TWS) is a key variable in global and regional hydrological cycles. In this study, the TWS changes in the Yangtze River Basin (YRB) were derived using the Lagrange multiplier method (LMM) from Gravity Recovery and Climate Ex... Read More about Estimation of component contributions to total terrestrial water storage change in the Yangtze River basin.

Numerical investigation of cycle performance in compressed air energy storage in aquifers (2020)
Journal Article
Yang, L., Cai, Z., Li, C., He, Q., Ma, Y., & Guo, C. (2020). Numerical investigation of cycle performance in compressed air energy storage in aquifers. Applied Energy, 269, https://doi.org/10.1016/j.apenergy.2020.115044

Compressed air energy storage (CAES) is one of the promising technologies to store the renewable energies such as surplus solar and wind energy in a grid scale. Due to the widespread of aquifers in the world, the compressed air energy storage in aqui... Read More about Numerical investigation of cycle performance in compressed air energy storage in aquifers.

Response of soil bacterial community composition and its associated geochemical parameters to rapid short-term cyclic groundwater-level oscillations: soil column experiments (2020)
Journal Article
Xia, X., Cheng, L., Zhu, Y., Liu, Y., Wang, K., Ding, A., Cai, Z., Shi, H., & Zuo, L. (2020). Response of soil bacterial community composition and its associated geochemical parameters to rapid short-term cyclic groundwater-level oscillations: soil column

Groundwater-level oscillations change geochemical conditions, carbon cycling processes and bacterial community composition, and these changes may vary vertically with depth in a soil. In this study, soil column experiments were conducted to explore v... Read More about Response of soil bacterial community composition and its associated geochemical parameters to rapid short-term cyclic groundwater-level oscillations: soil column experiments.