Multi-objective optimization of the stack of a thermoacoustic engine using GAMS

Tartibu, Lagouge K.; Sun, Bohua; Kaunda, M.A.E.

doi:10.1016/j.asoc.2014.11.055

Cited by 45 publications

(13 citation statements)

References 13 publications

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“…GAMS software has been largely used in specialized literature to address non-linear non-convex optimization problems in many areas of engineering, some of these works are: optimal planning and operation of power systems with batteries in AC and DC networks [36,37,39,40]; optimal location of distributed generators [13,22,41,42]; optimal design of osmotic power plants [43]; optimal design of water distribution networks [44]; stability analysis in DC networks [45]; optimal design of thermoacoustic engines [46]; optimal location of protective devices [47], and optimal planning of distribution networks [30], among others.…”

Section: Solution Methodologymentioning

confidence: 99%

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

2020

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This research deals with the efficiency comparison between AC and DC distribution networks that can provide electricity to rural and urban areas from the point of view of grid energy losses and greenhouse gas emissions impact. Configurations for medium- and low-voltage networks are analyzed via optimal power flow analysis by adding voltage regulation and devices capabilities sources in the mathematical formulation. Renewable energy resources such as wind and photovoltaic are considered using typical daily generation curves. Batteries are formulated with a linear representation taking into account operative bounds suggested by manufacturers. Numerical results in two electrical networks with 0.24 kV and 12.66 kV (with radial and meshed configurations) are performed with constant power loads at all the nodes. These simulations confirm that power distribution with DC technology is more efficient regarding energy losses, voltage profiles and greenhouse emissions than its AC counterpart. All the numerical results are tested in the General Algebraic Modeling System widely known as GAMS.

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Section: Solution Methodologymentioning

confidence: 99%

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

2020

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“…To solve the MINLP model that represents the optimal placement and sizing of wind turbines in AC distribution networks considering wind and demand curves, in this research the general algebraic modeling system is employed, widely known in specialized literature as GAMS. This optimization package has been successfully used for solving nonlinear large-scale optimization problems, such as optimal location and sizing of distributed generators in AC and DC distribution networks [5,37]; optimal operation of battery energy storage systems [23,38]; multi-objective optimization of the stack of a thermoacoustic engine [39] and optimization of pump and valve schedules in complex, large-scale water distribution systems [40], and so on. The main characteristics of GAMS implementation are listed below [23].…”

Section: Solution Methodologymentioning

confidence: 99%

Optimal Placement and Sizing of Wind Generators in AC Grids Considering Reactive Power Capability and Wind Speed Curves

et al. 2020

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This paper presents an optimization model for the optimal placement and sizing of wind turbines, considering their reactive power capacity, wind speed, and demand curves. The optimization model is nonlinear and is focused on minimizing power losses in AC distribution networks. Also, paired wind turbine and power conversion systems are treated via chargeability factor η at the peak hour. This factor represents the percentage of usage of the power conversion system in the nominal wind speed conditions, and allows to support reactive power dynamically during all periods of the day as a function of the distribution system requirements. In addition, an artificial neural network is used for short-term forecasting to deal with uncertainties in wind power generation. We assume that the number of wind power distributed generators could be from zero to three generators integrated into the system, considering unit power factors and reactive power injections to follow up the effect of reactive power compensation in the daily operation. The General Algebraic Modeling System (GAMS) is employed to solve the proposed optimization model.

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“…However, section of the code related to the problem formulation (specific objective functions, constraints, input values and variables) have been edited to model the MCHS problem. The original augmented ε-constraint method (AUGMENCON) was developed by Mavrotas (2009) and has been successfully implemented in many studies related to thermal systems (Tartibu et al, 2015a(Tartibu et al, , 2015b. The AUGMENCON is a variant of the classical ε-constraint method and addresses many of its weaknesses:…”

Section: Emphasising All Objective Componentsmentioning

confidence: 99%

Numerical analysis on thermal performance of a trapezoidal micro-channel heat sink using an improved version of the augmented ε-constraint method

Tartibu

2020

IJMMNO

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This work proposes the use of an improved version of the augmented ε-constraint method (AUGMENCON2) for the analysis of the thermal performance of a micro-channel heat sink. In order to highlight the strength and the effectiveness of this new approach, a trapezoidal micro-channel heat sink has been considered. The geometrical configuration namely the micro-channel widths and depth are the main variables considered in this study. Surrogate models based on the response surface methodology have been adopted to approximate the thermal resistance and the pumping power which provide an indication of the thermal performance of the micro-channel heat sink. A two-objective nonlinear problem have been formulated and implemented within the general algebraic modelling system. Global Pareto optimal solutions have been computed using the proposed method. Despite being a relatively straightforward method, the AUGMENCON2 provides a reasonable level of accuracy and shortens the required computational time in comparison to two existing approaches.

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Multi-objective optimization of the stack of a thermoacoustic engine using GAMS

Cited by 45 publications

References 13 publications

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

On the Efficiency in Electrical Networks with AC and DC Operation Technologies: A Comparative Study at the Distribution Stage

Optimal Placement and Sizing of Wind Generators in AC Grids Considering Reactive Power Capability and Wind Speed Curves

Numerical analysis on thermal performance of a trapezoidal micro-channel heat sink using an improved version of the augmented ε-constraint method

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