scholarly journals Multi-Objective Optimization of Resilient Design of the Multipurpose Reservoir in Conditions of Uncertain Climate Change

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1110 ◽  
Author(s):  
Stanislav Paseka ◽  
Zoran Kapelan ◽  
Daniel Marton
Keyword(s):  
Water Supply ◽  
Simulation Model ◽  
Real Life ◽  
Design Parameters ◽  
Novel Approach ◽  
Agricultural Water Supply ◽  
Resilient Design ◽  
Morava River ◽  
Multipurpose Reservoir

This paper presents and assesses a new approach to decision-making methods for the design of new reservoirs due in times of decreasing water resources. The methods used in this case are decision theory, Resilience and Robustness method. The methods have been selected primarily to analyze different design parameters of a new dam, mainly dam heights leading to different reservoir volumes. The study presents a novel approach to the optimal design of a multipurpose reservoir that would provide enough water for downstream environmental flow, residential and industrial water supply, agricultural water supply, and hydropower generation in the current conditions of climate uncertainty. Uncertainties are interpreted as possible future changes in the climate system using outputs from regional climatic models. In the case study, a simulation model was developed which is able to quantify long-term water balance and use this data to quantify resilience and robustness of its water supply. The simulation model was correlated to the GANetXL software in order to perform Genetic Algorithms based optimization of the reservoir’s operation. The simulation–optimization model was then applied to a real-life case study in the Czech Republic, in the Morava River Basin where a new dam with the multipurpose reservoir is planned to be built in the future. The results obtained in this way were analyzed in detail to identify the overall best solution consist of dam height and the total reservoir monthly outflow and new operational rules for the analyzed multipurpose reservoir.

A Practical Approach to Expedite a Pore to Process Simulation Model for a Rich Gas Condensate Reservoir – Case Study

2021 ◽  
Author(s):  
Mohamed Ibrahim Mohamed ◽  
Ahmed Mahmoud El-Menoufi ◽  
Eman Abed Ezz El-Regal ◽  
Ahmed Mohamed Ali ◽  
Khaled Mohamed Mansour ◽  
...  
Keyword(s):  
Simulation Model ◽  
Production Optimization ◽  
Operating Conditions ◽  
Gas Condensate ◽  
Western Desert ◽  
Design Parameters ◽  
Compositional Approach ◽  
Process Plant ◽  
Black Oil

Abstract Field development planning of gas condensate fields using numerical simulation has many aspects to consider that may lead to a significant impact on production optimization. An important aspect is to account for the effects of network constraints and process plant operating conditions through an integrated asset model. This model should honor proper representation of the fluid within the reservoir, through the wells and up to the network and facility. Obaiyed is one of the biggest onshore gas field in Egypt, it is a highly heterogeneous gas condensate field located in the western desert of Egypt with more than 100 wells. Three initial condensate gas ratios are existing based on early PVT samples and production testing. The initial CGRs as follows;160, 115 and 42 STB/MMSCF. With continuous pressure depletion, the produced hydrocarbon composition stream changes, causing a deviation between the design parameters and the operating parameters of the equipment within the process plant, resulting in a decrease in the recovery of liquid condensate. Therefore, the facility engineers demand a dynamic update of a detailed composition stream to optimize the system and achieve greater economic value. The best way to obtain this compositional stream is by using a fully compositional integrated asset model. Utilizing a fully compositional model in Obaiyed is challenging, computationally expensive, and impractical, especially during the history match of the reservoir numerical model. In this paper, a case study for Obaiyed field is presented in which we used an alternative integrated asset modeling approach comprising a modified black-oil (MBO) that results in significant timesaving in the full-field reservoir simulation model. We then used a proper de-lumping scheme to convert the modified black oil tables into as many components as required by the surface network and process plant facility. The results of proposed approach are compared with a fully compositional approach for validity check. The results clearly identified the system bottlenecks. The model can be used to propose the best tie-in location of future wells in addition to providing first-pass flow assurance indications throughout the field's life and under different network configurations. The model enabled the facility engineers to keep the conditions of the surface facility within the optimized operating envelope throughout the field's lifetime.

scholarly journals A Systemic Approach to City Image Building. The Case of Katowice City

2019 ◽  
Vol 11 (16) ◽  
pp. 4470 ◽  
Author(s):  
Anna Adamus-Matuszyńska ◽  
Jerzy Michnik ◽  
Grzegorz Polok
Keyword(s):  
Real Life ◽  
City Image ◽  
City Development ◽  
Sustainable City ◽  
Causal Mapping ◽  
Novel Approach ◽  
Image Building ◽  
The City

Making long-term decisions and developing successful policy is always a challenge for a governing body. Within the framework of causal mapping, we evolved a model for the problem of creating and reinforcing a city’s image. Then, the model was enhanced into a quantitative form and processed with a novel approach: the extended form of the Weighted Influence Non-linear Gauge System (WINGS). A real-life case study of the city of Katowice showed that the presented approach can be helpful for city authorities. It reinforces the understanding of the problem, facilitates choosing policy options, and supports sustainable city development.

Hybrid Simulation-Emulation Model: AGVS Example

Volume 3 ◽  
2004 ◽  
Author(s):  
Khalid Hasnan ◽  
Terrence Perera
Keyword(s):  
Control System ◽  
Simulation Model ◽  
Execution Time ◽  
Hybrid Simulation ◽  
Automated Guided Vehicle ◽  
Initial Analysis ◽  
Vehicle System ◽  
Novel Approach ◽  
Starting Point

Simulation and emulation have several salient contrasting functions and features. They include different aims, levels of details, execution time and integration of models. In many cases, a project will require both a simulation model for initial analysis and development, as well as an emulation model for testing a control system. If this is the case, a copy of the simulation model can be used as a starting point for developing the emulation model. Hybrid simulation-emulation model, one that is used for both purposes should have a facility to switch off/on certain elements from the model as necessary. There is much published work in simulation and a dearth of work in emulation. To date there has been no work published in converting a simulation into emulation model. This paper describes a novel approach, which combines both attributes, and is illustrated using a case study based on an Automated Guided Vehicle System (AGVS).

scholarly journals English for specific purposes course design parameters for chemistry-biology students

2020 ◽  
pp. 428-439
Author(s):  
Danara Kurmanovna Raikhanova ◽  
Gulnara Mamatbekovna Kassymova
Keyword(s):  
Common Core ◽  
Course Design ◽  
Real Life ◽  
English For Specific Purposes ◽  
Design Parameters ◽  
Biology Students ◽  
Specific Field

This article describes some parameters that should be taken into consideration during designing English for Specific Purposes course for combined major programme 6B015002 ‘Chemistry and Biology’ at Suleyman Demirel University. English for Specific Purposes courses focus on specific field or discipline, such as engineering, law, management, marketing, accounting, medicine or science in our case. English for Specific Purpose teaching requires real life learning situations which might be achieved with the help of appropriate course that is designed after considering parameters that detect whether the course should be intensive or extensive, assessed or non-assessed, common-core or specific, homogeneous or heterogeneous, fixed or flexible, or deal with immediate or delayed needs and finally identify the role of English for Specific Purposes teachers. After studying all parameters of course design listed above everything is put in a nutshell as a result of the case study of English for Specific Purposes course on chemistry-biology specialty at Suleyman Demirel University.

scholarly journals Simulation of Multipurpose Reservoir Operation with Hedging Rules

2018 ◽  
Vol 7 (3.12) ◽  
pp. 594
Author(s):  
K Sasireka ◽  
T R Neelakantan ◽  
S Suriyanarayanan
Keyword(s):  
Water Supply ◽  
Reservoir Operation ◽  
Hedging Rule ◽  
Municipal Water Supply ◽  
Storage Reservoirs ◽  
Hedging Rules ◽  
Electricity Power ◽  
Multipurpose Reservoir ◽  
Operating Rule

Reservoir operation plays an important role in the economic development of a region. The storage reservoirs are not only useful for supplying water for municipal and irrigation purpose, but also act as a protection barrier form flood, and the stored water can be used for generation of electricity power as well. To meet the objectives for which the reservoir was planned, it is vital to formulate guidelines for the operation of reservoir. This can be achieved by systematic operation of the system, and by the use of systematic and simplified rule curve for the operation of reservoir. Hedging rules are popular in drinking and irrigation water supply. Application of hedging is now gaining focus for hydropower power reservoir operation. In the present study, attempt has been made to formulate a new operating rule for multipurpose reservoir using hedging rules and the developed model was applied to a case study of Bargi reservoir in the Narmada basin in India. In order to increase the reliability of water supply for municipal, irrigation and average annual power production, the new operating rule has been developed using Standard Operation Policy (SOP) and hedging rule according to the priority of release for different purposes. The hedging rule based simulation model satisfies 97.5% of municipal water supply which is more than 8.25% of the present operational policy. The spill of the reservoir is decreased by 57 % compared to present policy. The performances of different hedging rules were compared with that of a new standard operating policies and the superiority of the hedging rules are discussed in this paper. 

scholarly journals Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

2018 ◽  
Vol 8 (12) ◽  
pp. 2448 ◽  
Author(s):  
Jorge González-Reséndiz ◽  
Karina Cecilia Arredondo-Soto ◽  
Arturo Realyvásquez-Vargas ◽  
Humberto Híjar-Rivera ◽  
Teresa Carrillo-Gutiérrez
Keyword(s):  
Simulation Model ◽  
Information And Communication Technologies ◽  
Discrete Event ◽  
Real Life ◽  
Inventory Level ◽  
Event Simulation ◽  
Lean Logistics ◽  
Information And Communication ◽  
Logistics Process

The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization.

scholarly journals Integrated Modelling of Decentralised Energy Supply in Combination with Electric Vehicle Charging in a Real-Life Case Study

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6874
Author(s):  
Georg Göhler ◽  
Anna-Lena Klingler ◽  
Florian Klausmann ◽  
Dieter Spath
Keyword(s):  
Simulation Model ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Real Life ◽  
Energy Systems ◽  
Energy System ◽  
Electric Vehicle Charging ◽  
Self Sufficiency ◽  
The Future

Intelligent integration of decentralised energy resources, local storage and direct consumption are key factors in achieving the transformation of the energy system. In this study, we present a modular simulation concept that allows the planning of decentralised energy systems for buildings and building blocks. In comparison to related studies, we use a simulation model for energy planning with a high time-resolution from the perspective of the energy system planner. In this study, we address the challenges of the grid connection in combination with an increasing number of electric vehicles (EV) in the future. The here developed model is applied for an innovative building block in Germany with a photovoltaic (PV) system, a combined heat and power (CHP) unit, battery storage and electric vehicles. The results of the simulation are validated with real-life data to illustrate the practical relevance and show that our simulation model is able to support the planning of decentralised energy systems. We demonstrate that without anticipating future electric vehicle charging, the system configurations could be sub-optimal if complete self-sufficiency is the objective: in our case study, the rate of self-sufficiency of the net-zero energy building will be lowered from 100% to 91% if considering electric vehicles. Furthermore, our simulation shows that a peak minimising operation strategy with a battery can prevent grid overloads caused by EV charging in the future. Simulating different battery operation strategies can further help to implement the most useful strategy, without interruption of the current operation.

scholarly journals Integrating Simulation-Based Optimization for Lean Logistics: A Case Study

2018 ◽  
Author(s):  
Jorge Gonzalez-Resendiz ◽  
Karina Cecilia Arredondo-Soto ◽  
Arturo Realyvásquez-Vargas ◽  
Humberto Hijar-Rivera ◽  
Teresa Carrillo-Gutiérrez
Keyword(s):  
Simulation Model ◽  
Information And Communication Technologies ◽  
Discrete Event ◽  
Real Life ◽  
Inventory Level ◽  
Event Simulation ◽  
Lean Logistics ◽  
Information And Communication ◽  
Logistics Process

The present work aims at the comprehensive application of stochastic and optimization tools with the support of Information and Communication Technologies (ICT) through a case study in a logistics process for electronic goods; simulation and Response Surface Methodology (RSM) are applied for this purpose. The problem to be evaluated is to define an optimal distribution cost for products shipped to wholesale customers located in different cities in Mexico from a manufacturing plant in Tijuana, Mexico. The factors under study are the product allocation for each distribution center, finished good inventory level and on time deliveries, which are supposed to be significant to get the objective. The methodology applied for this problem considers the design of a discrete event simulation model to represent virtually the real life of logistics process, which is considered a complex system due to different activities are interrelated to carry it out. This model is used to execute the different experiments proposed by the RSM. The results obtained from simulation model were analyzed with the RSM to define the mathematical model that allows identifying the parameters of the factors in order to optimize the process. The findings prove how the ICT facilitate the application of stochastic tools with the purpose of process optimization.

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