scholarly journals Prototype and model of solar driven desalination plant in arid environment

2020 ◽  
Vol 24 (2 Part A) ◽  
pp. 903-914 ◽  
Author(s):  
Koichi Unami ◽  
Osama Mohawesh ◽  
Masayuki Fujihara
Keyword(s):  
Saline Water ◽  
Capillary Rise ◽  
Water Shortage ◽  
Arid Environment ◽  
Physical Parameters ◽  
Model Parameters ◽  
Thermal Dynamics ◽  
Factors Affecting ◽  
Desalination Plant ◽  
Water Tables

Water shortage and salinity are crucial factors affecting plant growth in arid and semi-arid regions, where irrigation water shortage and capillary rise from shallow saline water tables are often encountered. The objectives of this study are to construct a prototype of solar driven desalination plant in an arid area of Jordan Rift Valley, to develop a mathematical model predicting thermal dynamics in the prototype, to calibrate model parameters with measured physical parameters, and to discuss the performance of the prototype as well as its applicability to other areas under different environment. Results of measurement and numerical simulation show that the model is capable to reproduce the thermal dynamics of the desalination plant and to predict dew yield. Overall, the developed model provides a sound basis for describing and explaining the mass and energy balance mechanisms in the developed desalination plant. This study offers also a useful tool for analysis and assessment of the dew yield and thermal dynamics of such a desalination plant in general. Using the constructed prototype, performance analysis based on crop cultivation is ongoing.

Nonlinear Adaptive Observer for a Lithium-Ion Battery Cell Based on Coupled Electrochemical–Thermal Model

2015 ◽  
Vol 137 (11) ◽  
Author(s):  
S. Dey ◽  
B. Ayalew ◽  
P. Pisu
Keyword(s):  
Thermal Model ◽  
Adaptive Observer ◽  
Parameter Estimates ◽  
Physical Parameters ◽  
Model Parameters ◽  
Battery Cell ◽  
Thermal Dynamics ◽  
Adaptive Scheme ◽  
Li Ion ◽  
Battery Cells

Real-time estimation of battery internal states and physical parameters is of the utmost importance for intelligent battery management systems (BMS). Electrochemical models, derived from the principles of electrochemistry, are arguably more accurate in capturing the physical mechanism of the battery cells than their counterpart data-driven or equivalent circuit models (ECM). Moreover, the electrochemical phenomena inside the battery cells are coupled with the thermal dynamics of the cells. Therefore, consideration of the coupling between electrochemical and thermal dynamics inside the battery cell can be potentially advantageous for improving the accuracy of the estimation. In this paper, a nonlinear adaptive observer scheme is developed based on a coupled electrochemical–thermal model of a Li-ion battery cell. The proposed adaptive observer scheme estimates the distributed Li-ion concentration and temperature states inside the electrode, and some of the electrochemical model parameters, simultaneously. These states and parameters determine the state of charge (SOC) and state of health (SOH) of the battery cell. The adaptive scheme is split into two separate but coupled observers, which simplifies the design and gain tuning procedures. The design relies on a Lyapunov's stability analysis of the observers, which guarantees the convergence of the combined state-parameter estimates. To validate the effectiveness of the scheme, both simulation and experimental studies are performed. The results show that the adaptive scheme is able to estimate the desired variables with reasonable accuracy. Finally, some scenarios are described where the performance of the scheme degrades.

Effect of irrigation regimes using saline water on faba bean ( Vicia faba L.) yield and water productivity in an arid environment*

2021 ◽  
Author(s):  
Fathia El Mokh ◽  
Kamel Nagaz ◽  
Ashok Kumar Alva ◽  
Mohamed Moncef Masmoudi ◽  
Netij Ben Mechlia
Keyword(s):  
Vicia Faba ◽  
Faba Bean ◽  
Saline Water ◽  
Water Productivity ◽  
Arid Environment ◽  
Irrigation Regimes ◽  
Vicia Faba L

Updating Substructure Models With Dynamic Boundary Conditions

1995 ◽  
Author(s):  
Michael Link ◽  
Zheng Qian
Keyword(s):  
Boundary Conditions ◽  
Dynamic Stiffness ◽  
Design Parameters ◽  
Physical Parameters ◽  
Model Parameters ◽  
Dynamic Boundary Conditions ◽  
Main Structure ◽  
Modal Data ◽  
Residual Structure ◽  
Dynamic Boundary

Abstract In recent years procedures for updating analytical model parameters have been developed by minimizing differences between analytical and preferably experimental modal analysis results. Provided that the initial analysis model contains parameters capable of describing possible damage these techniques could also be used for damage detection. In this case the parameters are updated using test data before and after the damage. Looking at complex structures with hundreds of parameters one generally has to measure the modal data at many locations and try to reduce the number of unknown parameters by some kind of localization technique because the measurement information is generally not sufficient to identify all the parameters equally distributed all over the structure. Another way of reducing the number of parameters shall be presented here. This method is based on the idea of measuring only a part of the structure and replacing the residual structure by dynamic boundary conditions which describe the dynamic stiffness at the interfaces between the measured main structure and the remaining unmeasured residual structure. This approach has some advantage since testing could be concentrated on critical areas where structural modifications are expected either due to damage or due to intended design changes. The dynamic boundary conditions are expressed in Craig-Bampton (CB) format by transforming the mass and stiffness matrices of the unmeasured residual structure to the interface degrees of freedom (DOF) and to the modal DOFs of the residual structure fixed at the interface. The dynamic boundary stiffness concentrates all physical parameters of the residual structure in only a few parameters which are open for updating. In this approach damage or modelling errors within the unmeasured residual structure are taken into account only in a global sense whereas the measured main structure is parametrized locally as usual by factoring mass and stiffness submatrices defining the type and the location of the physical parameters to be identified. The procedure was applied to identify the design parameters of a beam type frame structure with bolted joints using experimental modal data.

scholarly journals Radio and X-ray connection in radio mini-halos: Implications for hadronic models

2020 ◽  
Vol 640 ◽  
pp. A37 ◽  
Author(s):  
A. Ignesti ◽  
G. Brunetti ◽  
M. Gitti ◽  
S. Giacintucci
Keyword(s):  
Magnetic Field ◽  
Large Fraction ◽  
Cosmic Ray ◽  
Physical Parameters ◽  
Model Parameters ◽  
Relativistic Electrons ◽  
X Rays ◽  
X Ray ◽  
Hadronic Model ◽  
Radio Halos

Context. A large fraction of cool-core clusters are known to host diffuse, steep-spectrum radio sources, called radio mini-halos, in their cores. Mini-halos reveal the presence of relativistic particles on scales of hundreds of kiloparsecs, beyond the scales directly influenced by the central active galactic nucleus (AGN), but the nature of the mechanism that produces such a population of radio-emitting, relativistic electrons is still debated. It is also unclear to what extent the AGN plays a role in the formation of mini-halos by providing the seeds of the relativistic population. Aims. In this work we explore the connection between thermal and non-thermal components of the intra-cluster medium in a sample of radio mini-halos and we study the implications within the framework of a hadronic model for the origin of the emitting electrons. Methods. For the first time, we studied the thermal and non-thermal connection by carrying out a point-to-point comparison of the radio and the X-ray surface brightness in a sample of radio mini-halos. We extended the method generally applied to giant radio halos by considering the effects of a grid randomly generated through a Monte Carlo chain. Then we used the radio and X-ray correlation to constrain the physical parameters of a hadronic model and we compared the model predictions with current observations. Results. Contrary to what is generally reported in the literature for giant radio halos, we find that the mini-halos in our sample have super-linear scaling between radio and X-rays, which suggests a peaked distribution of relativistic electrons and magnetic field. We explore the consequences of our findings on models of mini-halos. We use the four mini-halos in the sample that have a roundish brightness distribution to constrain model parameters in the case of a hadronic origin of the mini-halos. Specifically, we focus on a model where cosmic rays are injected by the central AGN and they generate secondaries in the intra-cluster medium, and we assume that the role of turbulent re-acceleration is negligible. This simple model allows us to constrain the AGN cosmic ray luminosity in the range ∼1044−46 erg s−1 and the central magnetic field in the range 10–40 μG. The resulting γ-ray fluxes calculated assuming these model parameters do not violate the upper limits on γ-ray diffuse emission set by the Fermi-LAT telescope. Further studies are now required to explore the consistency of these large magnetic fields with Faraday rotation studies and to study the interplay between the secondary electrons and the intra-cluster medium turbulence.

Empirical Study on the Relationship between Financial Development and Economic Growth in China Based on Maximum Flow Algorithm

2021 ◽  
Vol 7 (5) ◽  
pp. 4463-4473
Author(s):  
Qiao Wang
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Influencing Factor ◽  
Maximum Flow ◽  
Theoretical Research ◽  
Particle Swarm Algorithm ◽  
Model Parameters ◽  
Factors Affecting ◽  
Flow Algorithm ◽  
The Relationship

Objectives: The relationship between finance and economic growth has always been one of the hot issues in theoretical research and empirical analysis. As one of the important factors affecting economic growth, finance has long been recognized by the majority of scholars. Methods: In the context of the development of Internet e-commerce, empirical research on the relationship between China’s financial development and economic growth is conducted based on the maximum traffic algorithm. Results: Based on this, this paper constructs the Probit and Logistic binary discrete selection model for economic growth, and the discrete particle swarm algorithm is used to solve the sequence of influencing factors, estimating the model parameters, and the degree of influence of each influencing factor is calculated. Conclusion: The degree of concurrent employment is a decisive factor in economic growth.

FACTORS AFFECTING WATER AVAILABILITY AT HOUSE HOLD LEVEL A CASE STUDY OF QUETTA BALOCHISTAN

Al-Burz ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 259-276
Author(s):  
Shaheen Usman Kakar ◽  
Dr. Mumtaz Ali Baloch ◽  
Dr. Shahida Habib
Keyword(s):  
Water Resources ◽  
Water Availability ◽  
Secondary Data ◽  
Well Being ◽  
Water Shortage ◽  
Primary Data ◽  
Factors Affecting ◽  
Alternative Water ◽  
The Government ◽  
Sanitation Systems

  Water is of basic substance for Human development, the water brought environment, economy, civilization, livelihood provisions and well being for the society. Comprehensively understanding factors affecting the availability of water for household the water consumption behavior are required to be designed for efficient and effective water uses. To address the issue we randomly investigated 200 households in five different populated towns of Quetta city. The primary data was collected through household questionnaire survey and observation. On the other hand, secondary data included books, journal articles and websites. Data were analyzed using the Statistical Package for Social Science (SPSS). The findings of this study revealed that type of family, monthly income, major source of water, presence of garden at household and responsible factor of water shortage are significantly correlated with water availability. The survey concludes that the available water resources provided by the government are not enough for the daily household usage resultantly the respondents struggle hard to managed alternative water resources as per their requirement. The paper recommend to bring  awareness for the public sector about their right to water and provision of water sources is core responsibly of Government, especially to draw a policy for new constructions of water resources or by the remodeling of water and sanitation systems.

Biomimetic Membrane Simulation for Water Desalination

2018 ◽  
Author(s):  
Peter Ozaveshe Oviroh ◽  
Rokhsareh Akbarzadeh ◽  
Tien-Chien Jen
Keyword(s):  
Water Purification ◽  
Saline Water ◽  
New Technology ◽  
Pure Water ◽  
Water Desalination ◽  
Membrane Thickness ◽  
Nanoporous Membranes ◽  
Factors Affecting ◽  
Biomimetic Membrane ◽  
Low Efficiency

Reverse Osmosis (RO) for the desalination of saline water is associated with tremendous energy costs and low efficiency. Improvements in nanotechnology have led to the development of a variety of nanoporous membranes for water purification. Biomimetic membrane is an emerging new technology for water purification. Consequently, there is still much to study about the function and structure of these kinds of membranes. The purpose of this work was to determine which factors influence membrane performance. The focus was on those factors affecting membranes in pure water. Biomimetic membrane using MoS2 which has a higher rate of ion rejection and higher water permeability was studied through molecular dynamics simulations using reactive force fields (ReaxFF). The behaviour of the membrane before subjecting it to desalination was studied. The effect of water temperature, atmospheric pressure and membrane thickness on performance of membrane was studied. The permeability flux was calculated and compared in different conditions and the relation between these factors was revealed.

scholarly journals Pork: profile of the West of Paraná consumers and physical evaluation of chop

2017 ◽  
Vol 38 (6) ◽  
pp. 3563
Author(s):  
Rosana Aparecida da Silva-Buzanello ◽  
Daneysa Lahis Kalschne ◽  
Silmara Maisa Heinen ◽  
Claudete Pertum ◽  
Alexia Francielli Schuch ◽  
...  
Keyword(s):  
Meat Quality ◽  
Storage Conditions ◽  
Absorption Capacity ◽  
Physical Parameters ◽  
Exploratory Research ◽  
Factors Affecting ◽  
Pig Farming ◽  
Consumption Index ◽  
The One ◽  
Processing And Storage

Pork consumption in Brazil is still low despite its productive importance. Relevant issues such as swine breeding, meat quality, and evaluation of aspects and attributes considered important by pork consumers at the time of purchase allows identifying consumer market demands. Moreover, physical parameters evaluation or pork cuts are suggested to certify the meat quality. The aim of this study was to identify the current situation of pig farming and determine the main aspects considered by consumers when buying pork in the Western region of Paraná state, Brazil. Furthermore, the physical properties of five pork chop brands marketed in the region were determined. Initially, an exploratory research was conducted involving ten pig farming sector professionals. This research allowed identifying that professionals understand the factors affecting meat quality and that some municipalities in the region are beyond their absorption capacity for pig production market. A descriptive research involving one hundred pork consumers showed that, although most prefer beef, 41% reported to consume pork 2 to 3 times a week. Pork chops and ribs are the preferred cuts, either fried or roasted. Details such as expiration date and federal inspection register were considered the most important aspects at the time of purchase, while price was the least important one. The meat color was the most mentioned sensory attribute. The physical analyses of five pork chop brands showed no pH difference (p > 0.05), water holding capacity, and cooking loss results, distinctive from the one observed for color (L*, a* and b*) and shearing force, which showed differences among the brands (p ? 0.05). Comparing pH and L*, it can be suggested that two brands showed normal meat characteristics, one DFD meat (pH > 6.0 and L* < 45), and other two brands PSE (pH < 5.8 and L* > 50). The research contributed to identifying features considered important by pork consumers, suggesting strategic actions to achieve greater preference and consumption index. The evaluation of physical parameters showed there is variability involved in pork chop quality as the samples were obtained from commercially different origins and under different processing and storage conditions.

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