... (ARC) is proposed, aiming to realize the cascade utilization of efficient utilization of low-grade flue gas. With the objective of maximizing the equivalent specific net power output, a particle swarm optimization (PSO) algorithm is employed to optimize the operation parameters of the proposed system...

... between 26% and 29% when the cylinder is positioned horizontally differently. By using optimization, the cooling performance increase with rotating cylinders at Re = 200, which is determined to be 73.6% more than that of the case without cylinders. Optimization results in an extra 11.2% increase...

...Chandan Mandal; Aritra Ganguly This paper presents a multi-objective optimization of a biomass heating-based two-stage desiccant-supported greenhouse cooling system used for Orchids cultivation in hot and humid weather conditions. The simulation model has been developed considering thermodynamics...

... fluid dynamics (CFD) simulation system is developed to generate dataset samples under different operational conditions, which are specified using Latin hypercube sampling (LHS). An ANN model is first obtained by optimizing the model hyper-parameters, which are then deployed to learn from the input...

... cost. Then, a new single objective optimization of the total cost was performed by the genetic algorithm (GA) based on the Chinese Fusion Engineering Testing Reactor (CFETR) parameters. Finally, the new optimal PCHE was compared with the PCHE with MS straight passage and sCO 2 airfoil fin passage...

... and optimization of the system is to find the best match of the dimensions of the water chamber with a chimney to maximize the production of clean water and energy efficiency. The model has been used to simulation several cases (of water from 40 °C to 50 °C) with available experimental data from the authors...

... by using the secondary heat dissipation model, and an optimized and improved scheme was proposed to introduce a deflector cone structure to eliminate heat reflow. The research results showed that the secondary heat dissipation model could more accurately describe the heat reflow problem of the engine...

... to 0.736. bank-type earth air heat exchanger dry bulb temperature factor interaction full factorial design optimization wet bulb temperature energy efficiency energy systems experimental/measurement techniques heat and mass transfer heat exchangers heat transfer enhancement An earth...

... are optimized with the specific power consumption (SPC) as the objective function. The results show that the SPC of three cases are 0.8021 kWh/kg (LNG), 0.4150 kWh/kg (LNG), and 0.5063 kWh/kg (LNG); the coefficient of performance (COP) of cases 1, 2, and 3 are 0.20, 0.39, and 0.30; the exergy efficiency...

...: f20180546@pilani.bits-pilani.ac.in Email: psrinivasan@pilani.bits-pilani.ac.in 13 11 2021 23 03 2022 24 03 2022 12 04 2022 concentrated solar power thermodynamic modeling granular flows optimization dense particle suspensions energy efficiency thermal systems...

... of heat exchanger on system performance. For specified CO 2 /HC, optimal COP is obtained through global optimization of cycle pressures and mixture concentration. The heating performances of different CO 2 /HCs are compared, among which CO 2 /R600 and CO 2 /R600a behave better. Meanwhile, a typical vapor...

... capacitance state-space thermal management Omnimagnet optimization An Omnimagnet [ 1 ] is a relatively new electromagnetic device that enables remote magnetic manipulation [ 2 ] of devices such as medical implants and microrobots. We are particularly interested in its use for robotically assisted...

... performances at higher condenser temperature. Multi-objective optimization has also been carried out using the toolbox available for optimization in matlab to obtain the optimum performance and optimum operating conditions for both the refrigerants. Optimization results also show better thermo-economic...

.... electricity. The present effort investigates the effects of various data center parameters on a new set of metrics called the performance indicator to help assess and optimize the cooling performance of data centers. The three metrics in the performance indicator include power usage effectiveness ratio (PUEr...

... problem. Similarly, an inverse solution may be needed to complete a given physical problem by determining the unknown boundary conditions. Solutions thus obtained are not unique and optimization is generally needed to obtain results within a small region of uncertainty. This review paper discusses several...

... with the experimental data from a new prototype. The key objective of this research was to establish a validated framework for model-based design optimization of climatic chambers. The proposed model showed good agreement with the experimental data with a difference of 0.6 m/s and 9.65 °C in the velocity...

... ( 1 / h ) × 10 ) ) × 7 × 1000 where h  = heat transfer coefficient defined as q ″/( T avg  −  T in ). The optimized case of n  = 7, A c / A p  = 0.69, and Re = 100 is compared against the reference case in terms of the objective functions used for optimization in Table...

... The effects of process volume airflow rate, regeneration temperature, flow rate, and wheel speed (four parameters) have been discussed separately. The results show that changes of each parameter have significant effects on performance coefficients of wheel and adsorption specific energy. In the optimization...

...Gongnan Xie; Wang Qi; Weihong Zhang; Bengt Sunden; Giulio Lorenzini Figure 9 presents the optimization process of the design variables, constraint value and objective function of case 2. After ten iterations the objective function value is close to the optimal value. The radiation equilibrium...

... discussion, and proposes a strategy to find the optimal temperature, which can be implemented in a real-time application. Simulations have been conducted to verify that a significant energy savings can be achieved over conventional practice. 29 04 2010 20 09 2010 21 10 2010 21 10 2010...