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algorithms, etc ; cleaning; climate; energy; solar energy; Show all 5 Subjects
Abstract:
... Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct impact on the productivity of the Solar Power Tower plant. Cleaning techniques applied are dependent on plant construction and current schedules are normally developed considering heliostat layout patterns, providing sub-optimal results. In this paper, a method to optimise clea ...
algorithms, etc ; computer software; environmental models; water distribution; Show all 4 Subjects
Abstract:
... WDSLib is an extensible simulation toolkit for the steady-state analysis of a water distribution system. It includes a range of solution methods: the forest-core partitioning algorithm, the global gradient algorithm, the reformulated co-tree flows method, and also combinations of these methods. WDSLib has been created using a modularized object-oriented design and implemented in the C++ programmin ...
algorithms, etc ; electric power; solar collectors; torque; Show all 4 Subjects
Abstract:
... This paper proposes a maximum power point tracking (MPPT) algorithm for the development of a three-phase induction motor angular speed drive. A Dc-to-Dc boost power converter, powered by photovoltaic (PV) panels, feeds the three-phase power inverter. The MPPT algorithm is based on the Exact Static Error Dynamics Passive Output Feedback Controller (ESEDPOF) technique together with an Algebraic Esti ...
algorithms, etc ; gas emissions; landscapes; natural gas; Show all 4 Subjects
Abstract:
... Three-dimensional dynamic visualization of the long range gas diffusion contributes to disaster forecasting and assessment. Existing three-dimensional visualization methods, which calculate the gas concentration without considering the terrain and display the gas concentration in the local range by isosurfaces, cannot meet the demand for intensive calculation and dynamic visualization of gas diffu ...
algorithms, etc ; image analysis; iron; microstructure; physicochemical properties; Show all 5 Subjects
Abstract:
... The inner structure of a material is called its microstructure. It stores the genesis of a material and determines all the physical and chemical properties. However, the microstructure is highly complex and numerous image defects such as vague or missing boundaries formed during sample preparation, which makes it difficult to extract the grain boundaries precisely. In this work, we address the tas ...
... This investigation is devoted to the optimizing a novel pressurizable liquid piston Stirling engine (PLPSE) using particle swarm optimization (PSO) algorithm. The influences of design parameters including pressure intensifier coefficient, pressure intensifier mass, spring stiffness of the intensifier part of the system, the height of the hot and cold liquid columns and the power piston cross-secti ...
... An overview of recent developments, trends and challenges in the synthesis, design and operation optimization of energy systems is presented in this manuscript. The static and dynamic optimization problems are stated mathematically, solution methods are mentioned in brief and classification of optimization problems based on the presence and treatment of time is presented. Examples of objective fun ...
... This work deals with a comparative study for different basic and enhanced integrated geothermal flash and Kalina cycles from the thermoeconomic point of view. The considered cycles include different combination of basic and modified Kalina cycles, basic geothermal single flash cycle, double flash cycle and its enhanced modes. The basic Kalina cycle is modified by employing a two-phase expander ins ...
... Exploratory data analysis is crucial for developing and understanding classification models from high-dimensional datasets. We explore the utility of a new unsupervised tree ensemble called uncharted forest for visualizing class associations, sample-sample associations, class heterogeneity, and uninformative classes for provenance studies. The uncharted forest algorithm can be used to partition da ...
... Missing data are frequently encountered in high dimensional problems, but they are usually difficult to deal with by using standard algorithms, such as the expectation–maximization algorithm and its variants. To tackle this difficulty, some problem‐specific algorithms have been developed in the literature, but there still lacks a general algorithm. This work is to fill the gap: we propose a genera ...
... Selective laser sintering technology is a method of additive manufacturing that is growing with widely application. Due to the increasing tense of energy situation, it is also timely to consider the economic and environmental issues of growth in additive manufacturing. The innovative selective laser sintering technology optimization approach proposed in this article encourages and enables the desi ...
... A state machine is proposed as the solution for an automated microgrid energy management system (EMS) to improve transient performance during transition operations. It characterizes microgrid operation by seven states that cover all the operating modes: two for steady-state operation (grid-connected and islanded), four for transition operation (preparing for disconnection, transitioning to islandi ...
... Chinese traditional costumes have been recognized as one of the most influential sources for Western designers to obtain oriental inspirations and create Asian chic, especially the dominant colors and design style. In this paper, an effective color clustering method based on Mean shift clustering algorithm is developed for Chinese traditional costumes image. The proposed method consists of four st ...
... This review outlines some of the challenging aspects of applying second-order data modeling in classification issues analyzing selected examples of current applications. The main analytical platforms used for classification are briefly discussed from the application point of view, and the utilization of the generated data is illustrated. After a critical discussion of the advantages concerning the ...
... Addressable self-assembly is the formation of a target structure from a set of unique molecular or colloidal building blocks, each of which occupies a defined location in the target. The requirement that each type of building block appears exactly once in each copy of the target introduces severe restrictions on the combinations of particles and on the pathways that lead to successful self-assembl ...
... We present a refinement of the recursive digital filter proposed by McMillen (Boundary-Layer Meteorol 43:231–245, 1988), for separating surface-layer turbulence from low-frequency fluctuations affecting the mean flow, especially over complex terrain. In fact, a straightforward application of the filter causes both an amplitude attenuation and a forward phase shift in the filtered signal. As a cons ...
... This paper presents a novel computing method of optical efficiency fitting formulas and its applications for parabolic trough solar collectors, by combining the Monte Carlo ray-tracing methodology with the population-based particle swarm optimization algorithm. The expressions of the optical efficiency fitting formulas are deduced by means of analyzing the Monte Carlo ray-tracing data samples with ...
... Chromatographic retention time peak shifts between consecutive analyses is a well-known fact yet not fully understood. Algorithms have been developed to align peaks between runs, but with no specific studies considering the causes of peak shifts. Here, designed experiments reveal chromatographic shift patterns for a complex peptide mixture that are attributable to the temperature and pH of the mob ...
... This paper proposes a Novel least mean square algorithm using First order Al-Alaoui differentiator.The performance of the proposed Algorithm is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm. ...
... Dynamic optimization plays an important role toward improving the operation of chemical systems, such as batch and semibatch processes. The preferred strategy to solve constrained nonlinear dynamic optimization problems is to use a so-called direct approach. Nevertheless, based on the problem at hand and the solution algorithm used, direct approaches may lead to large computational times. Indirect ...