###### Abstract
[10] developed a full-scale dynamic model of a large-scale coal-fired powerplant. It investigated operation flexibility by making use of APROS. A simulation model of the dynamic operation of a regenerative gas turbine was developed by [11], which analyzed the dynamic characteristics of a small engine with a static recuperator. Other researchers performed the numerical analysis of combined cycle powerplants and validated the models against measurements at different steady states [12,13]. Several other studies have been conducted on the dynamic modelling of powerplants. [PERSON] [14] performed an analysis which identified those basic concepts that are usually accepted to form the primary state of the knowledge in powerplant modelling and simulation. [PERSON] [15] explained the modelling techniques and carried out an analytical study on the fundamental steady state and dynamic models for powerplant components. In his study, a 677 MW coal and gas powerplant was modelled using dynamic characteristics with MATLAB and SIMULINK. [PERSON] and [PERSON] [16] analyzed and validated SimECS, which is dynamic modelling software for energy systems. SimECS then underwent development at the Delft University of Technology and was continually utilized in the modelling of small steam cycle powerplants [17]. Due to the transient operation of dynamic models, it became important to utilize dynamic simulation tools for modelling such systems (powerplants). [PERSON] et al. [18] carried out a dynamic model simulation study on a steam turbine for a full-scope powerplant simulator. [PERSON] and [PERSON] [19] also made use of Gproms in designing a dynamic model of a 500 MW coal-fired subcritical powerplant. A 5% correction error was recorded in the model validation, in comparison with the actual plant measurement. [PERSON] et al. [20] developed dynamic models of a 660 MW supercritical unit with the GSE software to obtain the energy consumption characteristics of power units during transient cycling processes. The study considered the heat storage, control systems unit, and energy utilization of the powerplant. The different outputs of the steady-state condition and at different cycling rates were measured and compared. The system showed an increment in the standard coal consumption rate (SCCR) by 3.57 g/kWh in the cycling rate as compared to the steady-state model. In their research, [PERSON] and [PERSON] [21] developed a dynamic simulation of a thermal energy storage system incorporated into a parabolic trough concentrated solar power (CSP) system. The thermal storage system (TSS) utilized the two-tank direct method. [PERSON] et al. [22] considered all the working parameters of TSS of a 1 MW solar tower powerplant by using modular modelling methods. [PERSON] et al. [23] developed an integrated powerplant model. Steady-state data of a subcritical powerplant with reheat and regenerative cycle was used in validating the model designed. The nominal power and efficiency of the system were 605 MW and 38.3%, respectively. [PERSON] et al. [24] worked on concentrated solar power plants by providing a comprehensive summary of both in operation and under construction. There have been numerous studies in the literature on combined heat and power systems; however, this paper contributes to the literature by expanding on the effects of different variables such as the pressure ratio for improving the performance of these systems. The significance includes a better understanding of the practical implementation of multigeneration systems. Furthermore, trigeneration can be understood through exergoen-vironmental analysis, although these analyses have not yet been published, particularly for systems based on organic Rankine cycles. The novelty of this study also stems from the utilization of the Thermolib software for the analysis, as few studies have utilized its robust computing capacity for such analyses. The present paper analyzes a combined heat and powerplant using the Thermolib extension library in MATLAB/Simulink.