1 |
Exergoeconomic optimization and experimental investigation of a solar heating system with thermal energy storage in Turkey Ucar A, Oral A Energy Sources Part A-recovery Utilization and Environmental Effects, 43(8), 916, 2021 |
2 |
Test investigation of operation performance of novel split-type ground source heat pump systems for clean heating of rural households in North China Wang HJ, Liu BY, Yang FF, Liu F Renewable Energy, 163, 188, 2021 |
3 |
Numerical simulation of Multi-Tube Tank heat exchanger: optimization analysis Ramadan M, Khaled M, Jaber H, Faraj J, Bazzi H, Lemenand T Energy Sources Part A-recovery Utilization and Environmental Effects, 42(24), 3008, 2020 |
4 |
Holistic methodological framework for assessing the benefits of delivering industrial excess heat to a district heating network Pettersson K, Axelsson E, Eriksson L, Svensson E, Berntsson T, Harvey S International Journal of Energy Research, 44(4), 2634, 2020 |
5 |
Development and assessment of geothermal-based underground pumped hydroenergy storage system integrated with organicRankinecycle and district heating Erdemir D International Journal of Energy Research, 44(13), 10894, 2020 |
6 |
An experimental energy performance investigation and economic analysis on a cascade heat pump for high-temperature water in cold region Xu LF, Li ET, Xu YJ, Mao N, Shen X, Wang XL Renewable Energy, 152, 674, 2020 |
7 |
Evaluation of phase change materials used in building components for conservation of energy in buildings in hot dry climatic regions Murathan EK, Manioglu G Renewable Energy, 162, 1919, 2020 |
8 |
Solar energy absorption effect of buildings in hot summer and cold winter climate zone, China Li H, Zhong K, Yu J, Kang YM, Zhai ZQ Solar Energy, 198, 519, 2020 |
9 |
Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition Heidari A, Khovalyg D Solar Energy, 207, 626, 2020 |
10 |
A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data Niemierko R, Toppel J, Trankler T Applied Energy, 233, 691, 2019 |