scholarly journals Smart Design of Green Hydrogen Facilities: A Digital Twin-driven approach

2022 ◽  
Vol 334 ◽  
pp. 02001
Author(s):  
Bruno Gerard ◽  
Eduardo Carrera ◽  
Olivier Bernard ◽  
Denis Lun
Keyword(s):  
Simulation Method ◽  
Stochastic Simulations ◽  
Operating Costs ◽  
Financial Indicators ◽  
Internal Rate Of Return ◽  
System Availability ◽  
Digital Twin ◽  
Available Energy ◽  
Proposed Model ◽  
Sensibility Analysis

This work studies the potentials of Digital Twin solutions for the design of competitive and reliable green hydrogen facilities. A digital twin based on stochastic simulations is proposed to address the uncertainties associated with investment and operating costs, to increase confidence and stimulate investments. Several input assumptions are involved (i.e., capital and operational costs, energy consumption, available energy, among others) to analyse their influence on financial indicators. A set of facility designs with equipment redundancy, and thus different system availabilities, was proposed. Monte Carlo simulation method is chosen to propagate uncertainties onto the project bankability assessment. By applying the proposed methodology, the opportunity index and internal rate of return (IRR) are calculated. A sensibility analysis is also carried out. The simulations illustrate that the design of a facility can be optimized to achieve higher profits, based on a trade-off between investment and availability. This study concludes that digital twin solutions are an opportunity for reducing the uncertainties associated with green hydrogen facility design. Improvements to the proposed model can be achieved by performing a refined simulation, in relation to the calculation of system availability and maintenance costs.

scholarly journals Financial Evaluation, Under Conditions of Risk, in a Family Dairy Production System

2019 ◽  
pp. 1-10
Author(s):  
César Otaviano Penna Júnior ◽  
Rogério Figueiredo Daher ◽  
Paulo Marcelo de Souza ◽  
Niraldo José Ponciano ◽  
Gercílio Alves de Almeida Júnior ◽  
...  
Keyword(s):  
Milk Production ◽  
Production System ◽  
Net Present Value ◽  
Simulation Method ◽  
Appropriate Technology ◽  
Financial Indicators ◽  
Internal Rate Of Return ◽  
Family Farming ◽  
Major Interest ◽  
Before And After

Aims: This study analyzed, in comparative terms, the competitive potential of family farming using an intensive milk production system based on the intermittent stocking in irrigated tropical pasture; it also evaluated the financial results before and after the implementation of an appropriate technology in the intensification process. Study Design: The article is based on an opinion about a subject of major interest aimed at generating discussion.  Place and Duration of the Study: The study was conducted based on data collected from a family farming property located at the municipality of Alegre, State of Espírito Santo, Brazil, between 2011 and 2013. Methodology: Cash flow spreadsheets were organized, taken into consideration two deterministic scenarios (with and without the implementation of the proper technology), evaluated the net present value (NPV at 6%) and the internal rate of return (IRR). Subsequently, a sensitivity analysis was carried out, and, considering the items with the greatest contribution in the financial indicators, the Monte Carlo Simulation method was used, obtaining the risk in the decision to invest under each situation studied. Results: The results of NPV6%, estimated according to the opportunity costs of capital, and the IRR would exceed the values of alternative investments with returns of 6% by US$ 1,830.71 and would return the capital by 6.25%, respectively. Conclusion: It was concluded that the intensive pasture milk production system has potential to be an alternative for income generation for family farming.

scholarly journals Policy Assessment Investment Appeal of Innovation Projects Enterprises

2019 ◽  
Vol 9 (2) ◽  
pp. 5111-5122
Keyword(s):  
Regression Analysis ◽  
Practical Experience ◽  
Cash Flows ◽  
Financial Indicators ◽  
Correlation And Regression Analysis ◽  
Proposed Model ◽  
Modern Economic ◽  
The Subject ◽  
The Relationship ◽  
Future Cash Flows

The aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterpriseThe aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterprise

scholarly journals Statistical Study of the Entanglement for Qubit Interacting with an Electromagnetic Field

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Neveen Sayed-Ahmed ◽  
M. M. Amein ◽  
Taghreed M. Jawa ◽  
Tahani A. Aloafi ◽  
F. S. Bayones ◽  
...  
Keyword(s):  
Binomial Distribution ◽  
Numerical Study ◽  
Single Mode ◽  
Simulation Method ◽  
Von Neumann Entropy ◽  
Quantum Model ◽  
Wigner Functions ◽  
Von Neumann ◽  
Proposed Model ◽  
Distribution State

A statistical method is applied to predict the behaviour of a quantum model consisting of a qubit interacting with a single-mode cavity field. The qubit is prepared in excited state while the field starts from the binomial distribution state. The wave function of the proposed model is obtained. A von Neumann entropy is used to investigate the behaviour of the entanglement between the field and the qubits. Moreover, the atomic Q and Wigner functions are used to identify the behaviour of the distribution in a phase space. The simulation method is used to estimate the parameters of the proposed model to reach the best results. A numerical study is performed to estimate the specific dependency of the binomial distribution state. The results of entanglement were compared with the atomic Q and Wigner functions. The results showed that there are many maximum values of entanglement periodically. The results also confirmed a correlation between von Neumann entropy, the atomic Q , and Wigner functions.

Economic study on the export of cape gooseberry produced by Colombian indigenous communities in post-conflict areas to Spain and Europe

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ligia Gomez ◽  
Julian Duran ◽  
Isaias Tobasura
Keyword(s):  
Indigenous People ◽  
Net Present Value ◽  
Indigenous Communities ◽  
Financial Indicators ◽  
Internal Rate Of Return ◽  
Economic Study ◽  
Content Type ◽  
Post Conflict ◽  
Net Profit ◽  
Cape Gooseberry

PurposeThe purpose of this study is to estimate and analyze the production and export viability of organic cape gooseberry to Spain, cultivated by indigenous communities in post-conflict areas.Design/methodology/approachBased on interviews with indigenous people who grow organic cape gooseberry in post-conflict areas and information from official platforms, the data are systematized, and a matrix of costs, expenses, productivity and income from the production and export of Cape gooseberry is calculated. Financial indicators of profitability are calculated: net profit, net present value (NPV) and internal rate of return (IRR). Finally, with a regression model, the trend of the behavior of the quantity and cost of Cape gooseberry exports from Colombia to Europe and Spain is estimated.FindingsThe production and export of organic cape gooseberry is profitable for indigenous communities in post-conflict areas, favored by a special price on the European market and by the use of family labor in cultivation, which improves the profitability of the product. Because of these factors, it is likely to become an alternative to partially replace illicit crops in post-conflict areas.Research limitations/implicationsThis research was carried out in conflict areas, so conducting interviews in that territory put the integrity of the researchers at risk.Originality/valueStudies known about organic cape gooseberry production reveal the benefits of the fruit for human health, but not the viability of production and export to Spain. This study demonstrates the financial viability of the production and export of cape gooseberry grown by indigenous people and therefore constitutes an alternative for substituting illicit crops.

scholarly journals Research on Improved Equivalent Diagonal Strut Model for Masonry-Infilled RC Frame with Flexible Connection

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Guang Yang ◽  
Erfeng Zhao ◽  
Xiaoya Li ◽  
Emad Norouzzadeh Tochaei ◽  
Kan Kan ◽  
...  
Keyword(s):  
Simulation Method ◽  
Structure Type ◽  
Frame Structure ◽  
Rc Frame ◽  
Infill Wall ◽  
Artificial Fish Swarm Algorithm ◽  
Rc Frame Structure ◽  
Proposed Model ◽  
Seismic Design Code ◽  
Artificial Fish Swarm

The reinforced concrete (RC) frame with masonry infill wall is one of the most common structural systems in many countries. It has been widely recognized that the infill wall has significant effects on the seismic performance of RC frame structure. During the Wenchuan earthquake (China 2008), a lot of infilled RC frame structures suffered serious damages due to the detrimental effects brought about by the infill wall rigidly connected to the surrounding frame. In order to solve this problem, flexible connection, introduced by Chinese designers, is recommended by the updated Chinese seismic design code, because of its effect to reduce the unfavorable interaction between infill wall and frame. Although infilled RC frame structure with flexible connection has a lot of advantages, but because of the lack of research, this structure type is seldom used in practical engineering. Therefore, it is of great significance to scientifically investigate and analyze the effects of flexible connection on structure behaviors of infilled RC frame. In this study, a macrofinite element numerical simulation method for infilled RC frame with flexible connection was investigated. Firstly, the effects of connection between infill wall and surrounding frame on in-plane behaviors of infilled RC frame were discussed. Secondly, based on deeply studying the equivalent diagonal strut models for infilled RC frame with rigid connection, an improved equivalent diagonal strut model for infilled RC frame with flexible connection was proposed. Employed with inversion analysis theory, the parameter in the proposed model was estimated through artificial fish swarm algorithm. Finally, applied with the existing experiment results, a case study was conducted to verify the effectiveness and feasibility of the proposed model.

scholarly journals Amikacin Pharmacokinetics To Optimize Dosing in Neonates with Perinatal Asphyxia Treated with Hypothermia

2017 ◽  
Vol 61 (12) ◽  
Author(s):  
Sinziana Cristea ◽  
Anne Smits ◽  
Aida Kulo ◽  
Catherijne A. J. Knibbe ◽  
Mirjam van Weissenbruch ◽  
...  
Keyword(s):  
Perinatal Asphyxia ◽  
Volume Of Distribution ◽  
Stochastic Simulations ◽  
Therapeutic Drug ◽  
Published Data ◽  
Data Set ◽  
Dosing Interval ◽  
Proposed Model ◽  
Dosing Regimens ◽  
The Impact

ABSTRACT Aminoglycoside pharmacokinetics (PK) is expected to change in neonates with perinatal asphyxia treated with therapeutic hypothermia (PATH). Several amikacin dosing guidelines have been proposed for treating neonates with (suspected) septicemia; however, none provide adjustments for cases of PATH. Therefore, we aimed to quantify the differences in amikacin PK between neonates with and without PATH to propose suitable dosing recommendations. Based on amikacin therapeutic drug monitoring data collected retrospectively from neonates with PATH, combined with a published data set, we assessed the impact of PATH on amikacin PK by using population modeling. Monte Carlo and stochastic simulations were performed to establish amikacin exposures in neonates with PATH after dosing according to the current guidelines and according to proposed model-derived dosing guidelines. Amikacin clearance was decreased 40.6% in neonates with PATH, with no changes in volume of distribution. Simulations showed that increasing the dosing interval by 12 h results in a decrease in the percentage of neonates reaching toxic trough levels (>5 mg/liter), from 40 to 76% to 14 to 25%, while still reaching efficacy targets compared to the results of current dosing regimens. Based on this study, a 12-h increase in the amikacin dosing interval in neonates with PATH is proposed to correct for the reduced clearance, yielding safe and effective exposures. As amikacin is renally excreted, further studies into other renally excreted drugs may be required, as their clearance may also be impaired.

scholarly journals The Flow Field Analysis and Flow Calculation of Ultrasonic Flowmeter Based on the Fluent Software

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ling Guo ◽  
Yue Sun ◽  
Ling Liu ◽  
Zhixi Shen ◽  
Ruizhen Gao ◽  
...  
Keyword(s):  
Flow Field ◽  
Three Dimensional ◽  
Simulation Method ◽  
Ultrasonic Flowmeter ◽  
Field Analysis ◽  
Dimensional Structure ◽  
Power Correction ◽  
Ideal Condition ◽  
Proposed Model ◽  
Fluent Software

We can build the three-dimensional structure model based on the Gambit software and achieve the distribution of flow field in the pipe and reflux flow condition at the position of transducer in regard to the real position of transducer according to the Fluent software. Under the framework, define the reflux length based on the distance of reflux along the channel and evaluate the effect of reflux on flow field. Then we can correct the power factor with the transmission speed difference method in the ideal condition and obtain the matching expression of power correction factor according to the practice model. In the end, analyze the simulation experience and produce the sample table based on the proposed model. The comparative analysis of test results and simulation results demonstrates the validity and feasibility of the proposed simulation method. The research in this paper will lay a foundation for further study on the optimization of ultrasonic flowmeter, enhance the measurement precision, and extend the application of engineering.

scholarly journals A Numerical and Analytical Study of Phase Synchronization in Coupled SC-CNN Based Non-Identical Chaotic Systems

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
H. Shameem Banu ◽  
P.S. Sheik Uduman
Keyword(s):  
Analytical Study ◽  
Chaotic Systems ◽  
Phase Synchronization ◽  
Simulation Method ◽  
Cellular Neural Network ◽  
Phase Portraits ◽  
Complete Synchronization ◽  
Synchronous State ◽  
Explicit Analytical Solution ◽  
Proposed Model

This paper seeks to address the phase synchronization phenomenon using the drive-response concept, in our proposed model, State Controlled Cellular Neural Network (SC-CNN) based on variant of MuraliLakshmanan-Chua (MLCV) circuit. Using this unidirectionally coupled chaotic non autonomous circuits, we described the transition of unsynchronous to synchronous state, by numerical simulation method as well as the results are confirmed by solving explicit analytical solution. In this aspect, the system undergoes the new effect of phase synchronization (PS) phenomenon have been observed before complete synchronization (CS) state. To characterize these phenomena by the phase portraits and the time series plots. Also particularly characterize for PS by the method of partial Poincare section map using phase difference versus time, numerically and analytically. The study of dynamics involved in SC-CNN circuit systems, mainly applicable in the field of neurosciences and in telecommunication fields.

scholarly journals MCDM Bunkering Optimisation in a Hub and Spoke System: The Case of the North Adriatic Ports

2019 ◽  
Vol 31 (5) ◽  
pp. 539-547
Author(s):  
Danijela Tuljak-Suban
Keyword(s):  
Fuzzy Ahp ◽  
Goal Function ◽  
Operating Costs ◽  
Fuel Price ◽  
Hub And Spoke ◽  
The North ◽  
Proposed Model ◽  
Cargo Capacity ◽  
Port System

Choosing an optimal bunkering port that minimises the increase in the operating costs in a hub and spoke system is a multi-criteria decision-making (MCDM) problem. Furthermore, the criteria are related to the port particularities, the environment, fuel price, and some criteria are quantitative while others are qualitative. It is therefore necessary to create a model that takes such features into consideration. Firstly, in this paper a set of the most used criteria will be defined. Then, a method to choose suitable criteria for a hub and spoke system will be proposed. Secondly, using a Fuzzy AHP, weights will be defined and used in a multi-criteria goal function. The outcome is a bunkering policy MCDM model based on the aggregation of fuel consumption and price to criteria related to port characteristics, local aspects and service particularities. All these factors must be considered by a chief engineer (superintendent) in the process of defining a sustainable bunker policy. A case study based on the North Adriatic port system demonstrates the applicability of the proposed model. In addition, the case study highlights that in hub and spoke systems with short loops, feeder ships can regulate cargo capacity and stay at a port with bunkering policy planning.

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