Zhonghe Han

TL;DR: This paper offers one in-depth review, which focuses on the accuracy analyses and model comparisons, and hopes that machine learning method could capture more attention from investigators via the introduction and perspective, due to its potential development of accuracy and reliability.

TL;DR: In this paper, a novel coupled combined cooling, heating and power systems (CCHP) system was proposed which is composed of a conventional CCHP system, a solar thermal utilization (ST) subsystem and an organic Rankine cycle (ORC) subsystem.

TL;DR: In this article, an economic comparison of combined cooling, heating and power system was analyzed, by following electric load and following thermal load strategies, and the results showed that the solar collectors only provide economic advantage for a smaller energy supply area.

TL;DR: In this paper, the performance of a combined cooling, heating and power (CCHP) system based on advanced adiabatic compressed air energy storage (AA-CAES) under different operation strategies is investigated.

TL;DR: In this article, the effect of the thermal properties of the working fluid on the thermodynamic performance of the organic Rankine cycle was investigated, and the results indicated that the change rules for T s max and critical temperature Tcr for different working fluids are generally the same.