Author(s) | Paper Title | Paper Details (journal name, publication year, volume, issue numbers, pages/paper number) |
---|---|---|
Hu, Y., Li, J., Hong, M., Ren, J., Man, Y.*^ | Industrial Artificial intelligence Based Energy Management System: Integrated framework for Electricity Load Forecasting and Fault Prediction |
Energy, 2022, 244, 123195 |
Li, L., Liu, Z., Deng, C., Xie, N., Ren, J., Sun, Y., Xiao, Z., Lei, K., Yang, S.* | Thermodynamic and exergoeconomic analyses of a vehicular fuel cell power system with waste heat recovery for cabin heating and reactants preheating |
Energy, 2022, 247, 123465. |
Zhou, T., Liu, J., Ren, J., Yang, S. | Comprehensive Assessment of a Coupled LiBr/H2O Absorption Refrigeration/ORC System for Low-Grade Residual Heat Recovery Based on Advanced Exergy and Exergoeconomic Analysis |
ACS Sustainable Chemistry & Engineering, 2022, 10, 18, 5825-5837. |
Lin, R.#, Liu, Y., Ren, J.*, Lee. C.K.M., Ji, P., Zhang, L., Man, Y. | An innovative sustainability-oriented multi-criteria decision making framework for prioritization of industrial systems with interdependent factors: Method and a case study of electricity generation |
Environmental Impact Assessment Review, 2022, 95, 106776. |
Lu, S.#, Ren, J.*, Lee. C.K.M., Zhang, L. | Spatial-temporal energy poverty analysis of China from subnational perspective |
Journal of Cleaner Production, 2022, 341,120907. |
Liu, Y., Ren, J.* | Developing a sustainability-oriented multi-criteria decision analysis framework group decision-making: A case study for sludge management |
Journal of Cleaner Production, 2022, 131807. |
Liu, Y., Ren, J.*, Dong, L*., Jin, Y., Man, Y. | Urban sludge to value-added products for promoting the development of circular economy: Supply network design and optimization | Resources, Conservation and Recycling, 2022, 182, 106317 |
Shi, T., Liu, Y., Yang, A., Sun, S., Shen,W., Ren, J.* | Developing a novel gasification-based sludge-tomethanol utilization process and exergy-economicenvironmental (3E) analysis | Energy Conversion and Management, 2022, 260, 115600 |
XY Zhou, JH Zhu, Y Wu, X-S Yang, T Lookman, HH Wu | Machine learning assisted design of FeCoNiCrMn high-entropy alloys with ultra-low hydrogen diffusion coefficients |
Acta Materialia, 224 (2022) 117535 |
Zhang, R., Li, J., Zheng, P., Lu, Y., Bao, J., & Sun, X. | A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration |
Robotics and Computer-Integrated Manufacturing, 2022, 78, 102383 |