1 |
Providing an accurate method for obtaining the efficiency of a photovoltaic solar module Sohani A, Sayyaadi H Renewable Energy, 156, 395, 2020 |
2 |
Model for optimal management of the cooling system of a fuel cell-based combined heat and power system for developing optimization control strategies Asensio FJ, Martin JIS, Zamora I, Onederra O Applied Energy, 211, 413, 2018 |
3 |
Theoretical model and preliminary design of an innovative wet scrubber for the separation of fine particulate matter produced by biomass combustion in small size boilers Bianchini A, Pellegrini M, Rossi J, Saccani C Biomass & Bioenergy, 116, 60, 2018 |
4 |
Multi-objective optimization and sensitivity analysis of an organic Rankine cycle coupled with a one-dimensional radial-inflow turbine efficiency prediction model Han ZH, Mei ZK, Li P Energy Conversion and Management, 166, 37, 2018 |
5 |
Fuel cell-based CHP system modelling using Artificial Neural Networks aimed at developing techno-economic efficiency maximization control systems Asensio FJ, Martin JIS, Zamora I, Garcia-Villalobos J Energy, 123, 585, 2017 |
6 |
Predicting the optimum design of single stage axial expanders in ORC systems: Is there a single efficiency map for different working fluids? Da Lio L, Manente G, Lazzaretto A Applied Energy, 167, 44, 2016 |
7 |
Influence of the radial-inflow turbine efficiency prediction on the design and analysis of the Organic Rankine Cycle (ORC) system Song J, Gu CW, Ren XD Energy Conversion and Management, 123, 308, 2016 |
8 |
Efficiency Prediction of Control Room Operators Based on Human Reliability Analysis and Dynamic Decision-Making Style in the Process Industry Zarei E, Mohammadfam I, Aliabadi MM, Jamshidi A, Ghasemi F Process Safety Progress, 35(2), 192, 2016 |
9 |
Experimental Study and Parallel Neural Network Modeling of Hydrocyclones for Efficiency Prediction Niknam PH, Habibian M Chemical Engineering Communications, 202(12), 1586, 2015 |
10 |
New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles Da Lio L, Manente G, Lazzaretto A Energy, 77, 447, 2014 |