1 |
Optimal integration of recompression supercritical CO2 Brayton cycle with main compression intercooling in solar power tower system based on exergoeconomic approach Ma YG, Morozyuk T, Liu M, Yan JJ, Liu JP Applied Energy, 242, 1134, 2019 |
2 |
Evaluation of the effects of one cold wave on heating energy consumption in different regions of northern China Jiang DC, Xiao WH, Wang JH, Wang H, Zhao Y, Li BQ, Zhou P Energy, 142, 331, 2018 |
3 |
A numerical study on influences of building envelope heat gain on operating performances of a bed-based task/ambient air conditioning (TAC) system in energy saving and thermal comfort Mao N, Pan DM, Li Z, Xu YJ, Song MJ, Deng SM Applied Energy, 192, 213, 2017 |
4 |
Linear regression-based correlations for estimation of high heating values of Pakistani lignite coals Akhtar J, Sheikh N, Munir S Energy Sources Part A-recovery Utilization and Environmental Effects, 39(10), 1063, 2017 |
5 |
Analysis of influential factors on heat accumulation in structural elements of road underpasses Androjic I, Marovic I Solar Energy, 155, 25, 2017 |
6 |
Analytical Approach to estimate and Predict the CO2 Reforming of CH4 in a Dielectric Barrier Discharge Nguyen DB, Lee WG Chemical Engineering Communications, 203(7), 917, 2016 |
7 |
A new grid-scale model simulating the spatiotemporal distribution of PM2.5-PAHs for exposure assessment Lee CL, Huang HC, Wang CC, Sheu CC, Wu CC, Leung SY, Lai RS, Lin CC, Wei YF, Lai IC, Jiang H, Choug WL, Chung WY, Huang MS, Huang SK Journal of Hazardous Materials, 314, 286, 2016 |
8 |
Building hourly thermal load prediction using an indexed ARX model Yun K, Luck R, Mago PJ, Cho H Energy and Buildings, 54, 225, 2012 |
9 |
Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models Elminir HK, Azzam YA, Younes FI Energy, 32(8), 1513, 2007 |