... turbine operating parameters were found to be 14.82 deg of angle of attack, 1.73 coefficient of lift, and 2.99 tip speed ratio (TSR) by using the response surface methodology (RSM). At these optimal settings, the best C p response was 0.406. A field experiment was carried out to verify the modeling...

... that were optimized were 71.64% engine load, 4964 ppm DTBP additive, and 24.98-deg advance ignition timing. The MORSM-based proposed technique's reliability and robustness validate the usage of DTBP with biodiesel blends, model prediction, and optimization. combustion emission modeling optimization...

...Somboon Sukpancharoen; Poj Hansirisawat; Thongchai R. Srinophakun This study examined product separation in biodiesel power plants to optimize the process. Response surface methodology (RSM) was used to identify the optimum parameters for the process of separation, to maximize profitability while...

... heat load is cooling of high-temperature superconductor for future power transmission lines that are in the developmental phase in different parts of the world. Multi-objective optimization and sensitivity analysis have been performed to investigate the sources of cost attached to the exergy...

... with such technology is the high temperature of its exhaust gases, which can be recovered via appropriate waste heat elimination schemes. Although various studies have previously discussed optimal operating conditions of the enhanced biogas-driven BC in terms of thermodynamics and economic, no comprehensive...

...R. Chandramouli; G. Ravi Kiran Sastry; S. K. Gugulothu; M. S. S. Srinivasa Rao The reheat and regenerative Braysson cycle being an alternative for combined cycle power plants needs to be optimized for its efficient utilization of energy resources. Therefore, to obtain the best possible overall...

.... In this paper, the capability of Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System in geometrical optimization of a solar chimney power plant (SCPP) to enhance generated power is investigated to reduce the time cost and errors when optimization is performed with numerical or experimental...

...Foroozan Naderi; Majid Siavashi; Ali Nakhaee In reservoir development plans, well placement optimization is usually performed to better sweep oil and reduce the amount of trapped oil inside reservoirs. Long-term optimization of well placement requires multiple times simulation of reservoirs which...

... are combined with a response surface methodology (RSM) to optimize the anode baking process. The advantage of the coupled method is that it can adequately provide information on interactions of different input parameters. It is remarked that the significance level of the studied parameters varies drastically...

.... In this work, a Machine Learning-Grid Gradient Ascent (ML-GGA) approach was developed to optimize the performance of internal combustion engines. ML offers a pathway to transform complex physical processes that occur in a combustion engine into compact informational processes. The developed ML-GGA model...

... are optimized to maximize the electrical efficiency of the PV system. Due to non-convex nature of the objective function, the Genetic algorithm is employed to get the solutions. Simulation results show that the optimized water flowrate for a given interval duration minimizes the consumed power in pumping system...

...Mayank Kapoor; Narendra Kumar; Ajay Singh Verma; Gaurav Gautam; Aditya Kumar Padap This paper depicts Box-Behnken design (BBD) approach to optimize the performance and emission characteristics of adjustable compression ratio, single- cylinder diesel engine with nanoparticle-blended biofuel. Cerium...

... of the HEVs. Therefore, the strengths and the limitations of dynamic programming (DP) global optimization strategy and adaptive equivalent consumption minimization strategy (ECMS) for this kind of powertrain system under new European driving cycle (NEDC) and federal test procedure (FTP75) driving cycles...

... the seating velocity of engine valve flexibly. Second, based on the NSGA-II genetic algorithm, the paper outlines a multi-objective optimization strategy and designs the parameters of the FVVA system to make the system easier to implement. Third, the paper builds the combined FVVA engine simulation model...

... hybrid electric vehicle. A vehicle model is developed and an optimization method is proposed to optimize the powertrain operation. It consists of using the dynamic programing as an energy management strategy in order to minimize the fuel consumption and the number of switching On/Off of the power unit...

... condenser (T cs ) are optimized analytically using an iterative technique for maximum coefficient of performance (COP) and minimum energy required. A solution distribution ratio for a parallel flow cycle is also optimized. Source of energy used to drive the cycles is considered as compressed natural gas...

... of the nonroad modified diesel engine is reported with the effective use of the hybrid Entropy-VIKOR approach. Hence, it becomes necessary to prioritize and optimize the performance defining criteria, which provides higher BTE along with lower emission simultaneously. The engine load, injection timing (Inj Tim...

...M. Tarfaoui; O. R. Shah; M. Nachtane In order to obtain an optimal design of composite offshore wind turbine blade, take into account all the structural properties and the limiting conditions applied as close as possible to real cases. This work is divided into two stages: the aerodynamic design...

... compared with the adiabatic one. The improvement in methanol production was studied by optimizing the essential parameters such as inlet temperatures of the feed and cooling water as well as the number of cooling tubes. The nonlinearity and complexity of the reactor models make the traditional optimization...

... ∈ [ t 2 , T ] When the system was evaluated using the upset shown in Fig. 5( a ) , the drum level fluctuated between −3 and +6 cm around the set point. In the optimized system all fluctuations is reduced to within ±2 cm, as shown in Fig. 7( a ) . The horizontal axis is the simulation...