| 1 |
Incipient fault diagnosis for centrifugal chillers using kernel entropycomponent analysis and voting based extreme learning machine
Xia Y, Ding Q, Jiang A, Jing N, Zhoug W, Wang J
Korean Journal of Chemical Engineering, 39(3), 504, 2022 |
| 2 |
Effect of Surfactants on the Flow Patterns of Horizontal Tube Bundles with a Falling Film
Lonardi F, Olbricht M, Luke A
Chemie Ingenieur Technik, 92(5), 613, 2020 |
| 3 |
Components and design guidelines for solar cooling systems: The experience of ZEOSOL
Palomba V, Wittstadt U, Bonanno A, Tanne M, Harborth N, Vasta S
Renewable Energy, 141, 678, 2019 |
| 4 |
Construction of an innovative adsorbent bed configuration in the adsorption chiller - Selection criteria for effective sorbent-glue pair
Grabowska K, Krzywanski J, Nowak W, Wesolowska M
Energy, 151, 317, 2018 |
| 5 |
Improved sensor fault detection, diagnosis and estimation for screw chillers using density-based clustering and principal component analysis
Li GN, Hu YP
Energy and Buildings, 173, 502, 2018 |
| 6 |
Energy optimization methodology of multi-chiller plant in commercial buildings
Thangavelu SR, Myat A, Khambadkone A
Energy, 123, 64, 2017 |
| 7 |
A new version of the Large Temperature Jump method: The thermal response (T-LTJ)
Tokarev MM, Aristov YI
Energy, 140, 481, 2017 |
| 8 |
Empirical model for evaluating power consumption of centrifugal chillers
Wang HD
Energy and Buildings, 140, 359, 2017 |
| 9 |
A steady-state empirical model for evaluating energy efficient performance of centrifugal water chillers
Wang HD
Energy and Buildings, 154, 415, 2017 |
| 10 |
Reduction of the heat capacity in low-temperature adsorption chillers using thermally conductive polymers as heat exchangers material
Hinze M, Ranft F, Druminer D, Schwieger W
Energy Conversion and Management, 145, 378, 2017 |
