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Various evolutionary algorithms are being developed to search the optimal solution of various problems in the real world. Evolutionary algorithms search solutions showing the optimal fitness to given problem using their own operators. Engineering benchmark problems can be used for performance measurement of evolutionary algorithms, and the water distribution network design problem is one of the widely...
Limited water resources had become the main constraint to be considered in farming. Optimizing this has become one of the interests in researches relating to precision agriculture. In this paper, the researchers use Neural Network in optimizing the water usage in the smart farm by incorporating it to the proposed Smart Farm Automated Irrigation System (SFAIS) by implementing an expert system. Simulations...
This paper presents the methodology used in patient-specific calibration of a novel highly integrated model of the cardiovascular and pulmonary pathophysiology associated with Acute Respiratory Distress Syndrome (ARDS). We focus on data from previously published clinical trials on the static and dynamic cardio-pulmonary responses of three ARDS patients to changes in ventilator settings. From this...
This contribution presents and analyzes modeling and minimum cost operation of proton exchange membrane (PEM) fuel cells and electrolyzers. First, detailed thermoelectric models of the electrochemical technologies based on a first-principle approach are presented. Then, as the detailed nonlinear models developed are intractable for use in online optimal control computation, a mixed integer linear...
The objective of this paper is to reduce the energy consumption required for the CO2 capture process, by optimizing the temperature at the inlet of the solvent desorption unit. This paper presents a numerical simulation on the CO2 capture installation in our university. The simulation of the CO2 post-combustion capture process is made by using the HYSYS 3.2 software. This topic is adequate in what...
This paper introduces the optimization algorithm selection for the bids formation in deregulated market. The solution of the task is made on stochastic optimization procedure. The time average revenue maximization approach is taken to analyze and find optimum in uncertainty. The random nature of the future energy prices and river water inflows is considered. A case study is conducted on a realistic...
This paper presents a study on the implementation of Demand Side Management (DSM) of electricity use at one clean water pumping station in Northern Ireland and the application of DSM to public water supply with the intention of maximising wind power production. This approach will lead to reductions in wind curtailment and improvements in system stability. It will also allow signicant savings to be...
This paper studied the efficiency of the oilfield water injection system by using the water injection system theory, fluid mechanics theory, and graph theory and optimization design technology. According to the actual conditions, the paper established the mathematical model of Wuliwan oilfield pipe network. Based on the actual data of production, energy distribution of oilfield water injection system...
This paper presents an algorithm of Ant Colony-Genetic to solve the optimization problem of oilfield water system. For the shortcomings of basic genetic algorithm, this paper has made a corresponding improvement to improve the global searching capability. Under the requirements of actual oil- field water injection system service, this algorithm is used to solve this optimization problem of oilfield...
More emission of high-value C3 /C3+ components and higher energy consumption has been troubling the Absorption-Stabilization System in an oil refinery. In this paper, a brand-new process and operation case has been suggested based on the process integration, resulting significant energy save and C3 /C3+ recovery. Where, the condensed oil tank to be operated in higher temperature; the stripper to be...
As it is well known, competitive electricity markets require new computing tools for generation companies to enhance the management of its resources. The economic value of the water stored in a power system reservoir is crucial information for enhancing the management of the reservoirs. This paper proposes a practical deterministic approach for computing the short-term economic value of the water...
Dissolved organic matter (DOM) in drinking water sources is the main precursors of disinfection by-products (DBPs). To control the formation of DPBs, most of the dissolved organic matter should be removed during the drinking water treatment process. The removal rates of DOM in different water treatment processes are quite different based on the molecular weight distribution of DOM. To understand how...
La2O3 insulators have been prepared by ALD using La(iPrCp)3 and H2O as the source materials. We identified two necessary conditions to achieve the self-limiting growth: temperatures lower than 200°C and extremely long purging after H2O pulses. La2O3 insulators annealed at 500°C showed good MOS properties with no hysteresis and small flat-band voltage shift. Comparisons to the have La2O3 films prepared...
The most wide spread thermal use of solar energy, has been for water heating system, which have been commercialized in many countries in the world. This paper presents a model of a forced circulation solar water heating system for supplying a hot water at a required temperature for an aquaculture system. The main component of the system is flat plate collector, storage tank, and auxiliary heater....
The determination of crop production functions which describe the relationship between irrigation water and crop yield under the assumption of optimal irrigation scheduling is a major building block for a more efficient and sustainable water management. In this paper we introduce a methodology to determine the entire crop production function for a given scenario within a single run of a multi-objective...
The heterogeneity of type II oil reservoir is serious, which decides the phenomenon that water and polymer coexist inevitably in the same cell in the process of polymer injection in type II oil reservoir, so that the polymer flooding potential is difficult to play. Two major kinds connected relations are found out through counting the major connected relations in polymer flooding regions of type II...
Urban water supply networks are large-scale systems that transport potable water over vast geographical areas to millions of consumers. A safe and efficient operation of these networks is crucial, as without it living in today's cities would be impossible. To achieve an adequate operation, these networks are equipped with actuators like pumps and valves, which are used to maintain water pressures...
Water and steam play very important roles to utilize for heating, cooling, and mass exchange and reaction in refinery production. So application of an appropriate water and steam control system to save water and steam can tremendously reduce production cost. A water and steam control system based on a novel method and architecture is presented in this paper. Its application and capability is validated.
In this paper, we introduce reinforcement learning as a methodology to solve complex multi-criteria optimization problems for ground water monitoring. Multiple analytical criteria are used to assess design decisions and human feedback is simulated by adding random noise. Different learning automata based reinforcement learning methods as well as a genetic algorithm based method are used in experimental...
Stochastic dynamic programming in solving large-scale cascade reservoirs regulation may lead to the curse of dimensionality. This paper applies to system identification theory, by which large-scale cascade reservoirs operation problem is described as an identification system, then select the appropriate equivalence criterion, identify the most similar model to the tested system according to the samples...
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