The collections are for visualizing theses of IET students http://103.99.128.19:8080/xmlui/handle/123456789/463 2026-04-19T10:40:59Z 2026-04-19T10:40:59Z Mahjabin, Nadia http://103.99.128.19:8080/xmlui/handle/123456789/522 2025-09-23T05:29:02Z 2024-05-07T00:00:00Z

Phase Behavior Analysis of a Gas Condensate Reservoir Mahjabin, Nadia Retrograde condensation is the term used to describe certain unusual features that result from condensate production in gas reservoirs. Unlike traditional gas reservoirs, this kind of reservoir experiences phase behaviour changes that affect the flow characteristics. This study's primary goal is to examine the nature of a specific gas condensate reservoir and create a model to track changes in fluid flow under specified circumstances. In this case, the Kailashtila gas field of Bangladesh has been taken into consideration. Both laboratory tests and simulations are performed to analyse the fluid composition, phase behaviour. Results are then summarized using simulation software (PVTSIM) to develop the phase diagram and other property curves of the fluid. The simulated and lab results implicate the reservoir to be a lean gas reservoir which is retrograde in nature. In the second part, a mathematical model is developed to represent the changes in flow pattern due to condensate banking near well-bore region. The condensate banking surrounding the wellbore has a significant impact on the deliverability of gas wells producing below the dew-point pressure. The pressure transient test analysis is further complicated by condensate banking because of the multiphase flow and mixture composition shift. Analytical approach has been employed to find a solution of the model and then the sensitivity analysis of the model has been performed by incorporating real field test data. According to the model, the reservoir is the total of three flow zones. The three flow areas are as follows: outer region 3 contains just gas; middle region 2 contains both gas and condensate but only gas is mobile; and inner region 1, which contains both gas and condensate flowing simultaneously. The pressure squared approach has been selected to determine the flow rate considering real field production and pressure transient test data under specified condition. The response obtained from the analysis matches with the trend of typical flow curve but showed deviation in the calculated and observed results.The condensate utilized as a feedstock in oil refineries is the subject of the study's third section. To produce assay data both laboratory tests and computer-aided analysis has been performed. The goal of this work is to develop a method to a comprehensive and organized characterization of gas condensate as a refining feedstock. The study also focuses on a critical examination of the assay data from samples of gas condensate that were taken from Kailashtila (KTL) gas fields. The study initially carried out laboratory tests to establish the boiling point. Empirical correlations are used to determine the necessary physical parameters for calculations involving the refining process. Utilizing Peng Robinson's thermodynamic model, a simulation software (DWSIM) helps in creating pseudo-components and their associated attributes using the generated true boiling point data. Thus, the study investigated the fluid's overall phase behaviour in both subsurface and surface conditions. The study's findings showed that by adjusting the number of trays or equilibrium stages in the distillation column, one can modify the amount and quality of product obtained as well as lower the energy consumption of a specific distillation process. Although condensates are usually defined through compositional analysis, this study took a slightly different approach than it would with crude oil. Oil refineries that are thinking about using condensate as an alternate of crude oil, may find the study helpful in constructing and simulating the refining process, assessing feedstocks, and determining economic worth. An M.Sc. Thesis from the Institute of Energy Technology.

2024-05-07T00:00:00Z ULLAH, MOHAMMAD FAHAD http://103.99.128.19:8080/xmlui/handle/123456789/513 2025-09-23T05:25:58Z 2024-08-28T00:00:00Z

Performance Assessment of Electric Vehicle Charging in a Charging Station Considering Charging Time and Price ULLAH, MOHAMMAD FAHAD Climate change is a buzz word in recent times. The whole world is suffering from it, temperature rise, sea level increase and many more are the consequences of it. One of the main reasons of it is the exploitation of fossil fuel. By burning fossil fuel, it emits different types of detrimental gases like ����2,����4 etc in combination these are called Green House Gas (GHG). But 17% of this GHG & 20% of ����2 is produced from transportation sector. To mitigate this the whole world is emphasizing at electrification of the transportation sector. And EV can be a proper solution for it. But there are some obstacles regarding to its purchase and its convenience. As the price of the electric vehicle is still high than fuel-based vehicle, time consumption of an electric vehicle for charging is numerous, inadequate amount of charging station infrastructure and another important issue is range anxiety of the EV drivers. As of now there are 16.5 million EV’s are operating in the world and the IEA estimates that 300 million EVs will be in use by 2030, in accordance with the scenario of net zero emissions by 2050.To ensure uninterrupted service to this huge fleet of EV a lot of planning and implementation is needed. In this paper we proposed time-based price and charging-rate varying plan regarding for EVCS. which consider the effect on grid with the addition of huge EV fleet and EVCS financial profit. And we compared it with the conventional Charging system where charging price is volatile but charging time is fixed and constant charging system where both price and charging time are constant. We prepared a probabilistic conditional statement based optimizing algorithm for three of the system. And we considered 24hr scenario for all the systems. Results indicate that nothing controls consumer choices in the constant method, whereas only pricing may do so in the conventional way. This can result in a sudden increase in load at the charging station. However, with our approach, price, charging rate, and a combination of both helped spread out customers throughout various time periods while keeping the system in balance. Additionally, both traditional and constant systems have experienced consumer losses, which resulted in a financial loss for the charging station A Master of Engineering Thesis from the Institute of Energy Technology.

2024-08-28T00:00:00Z Naser, Abu http://103.99.128.19:8080/xmlui/handle/123456789/509 2025-09-23T05:24:14Z 2024-03-31T00:00:00Z

Enhancing the Micro-Grid reliability in industrial distribution feeders by generating bus splitting model Naser, Abu This thesis aims to explore the stability and control of an Industrial Micro-Grid (IMG) system engaged to provide uninterrupted and high-quality power to around 165 export-oriented industries in Chattogram Export Processing Zone (CEPZ) and 70 similar industries in Karnaphuli Export Processing Zone (KEPZ) located in Chattogram, Bangladesh. The Industrial Micro-Grid model consists of 5 (five) natural gas (NG) fired IC Engine based Generating Sets (GS), each having a capacity of 8.73 MW and 3 (three) others of 9.34 MW individual capacity along with a span of around 80 running KM mixed mode (O/H & U/G) 11 KV distribution network with 3 (three) 33 KV regional national grid connectivity all together. These generators could be operated in either island or grid mode to supply independently power to 15 industrial distribution 11KV feeders of CEPZ and 08 identical feeders of KEPZ having capacity ranging from 2.5 to 5.2 MW of load in each. This entire IMG is mostly dependable on a dedicated 72 MW IC engine based natural gas fired power plant to meet its most of the energy demands. The uninterrupted and reliable power supply is crucial for the operation of export-oriented industries within CEPZ and KEPZ, which collectively demand a maximum of 100 MW of which 72 MW is made available from its internal power generating source and additional 28 MW is sourced from the regional national grid of electricity. Despite the constant demand for uninterrupted power, frequent tripping of this IMG due to various faults mainly originating from consumer ends has posed a significant challenge for its trusted reliability. To mitigate this issue within a tolerable limit, a tactful unique solution called "Generating Bus Splitting (GBS),” was conceived which involves the proposal of disintegrating & relocating of one master feeder from its Central Generation Bus (CGB) to rationally distribute fault burden concentration. This modification also offers several advantages, including grid shifting loss reduction, improved grid dispatch, reduced total blackout risks of the entire IMG, and enhanced emergency power interruption handling capabilities.

2024-03-31T00:00:00Z Haque, Afsanul http://103.99.128.19:8080/xmlui/handle/123456789/488 2025-09-14T10:44:16Z 2024-08-28T00:00:00Z

A Comprehensive Approach to Battery Management System Incorporating Dynamic Power Limiting with Thermal Management Algorithm Haque, Afsanul This study critically presents the model of a Battery Management System (BMS) for monitoring and controlling battery parameters in various applications. The presented model allows for comprehensive monitoring and analysis of critical battery metrics such as State of Charge (SOC), charging, discharging, and voltage. By developing and testing the model prior to hardware implementation, significant advantages including time and cost savings, as well as error identification, are realized. The BMS serves as a crucial component in these applications, ensuring efficient battery utilization, optimizing performance, and enhancing system safety. Through the developed model, advanced algorithms and control strategies can be tested and fine-tuned to achieve optimal battery management. This iterative process helps overcome challenges and limitations associated with battery systems, leading to improved energy efficiency, extended battery life, and enhanced overall system performance. However, future research and development efforts are warranted to further enhance the simulation model's accuracy and responsiveness. Integration of real-time data acquisition and advanced control algorithms can facilitate more precise and adaptive battery management. Additionally, addressing limitations such as temperature effects, aging, and environmental variations will contribute to the continued advancement of BMS technology. In conclusion, the design and model of the BMS presented in this study critically contribute to the ongoing progress in battery technology. By enabling comprehensive monitoring and control, the BMS facilitates the widespread adoption of battery-powered systems, supporting energy efficiency and sustainability in various industries and sectors. An M.Sc. Thesis from the Institute of Energy Technology

2024-08-28T00:00:00Z