Evolutionary algorithm for reversed iterative optimisation method accuracy inspection applied for energetic and economic optimisation of a pulp and paper mill

, Article International Journal of Exergy ; Volume 7, Issue 3 , 2010 , Pages 311-332 ; 17428297 (ISSN) Fani, M ; Mozafari, A ; Farhanieh, B ; Sharif University of Technology

2010

Abstract

'Three-link-model' Exergoeconomic methodology optimises the design and operability of a system. Contrary to traditional iterative Exergoeconomic optimisation methods, a reversed method is used, since assumptions considered by Tsatsaronis for calculating cost-optimal Exergetic efficiency and relative cost difference, were not applicable, new assumptions have been adopted. In a case study applied to Mazandaran paper industry, iterative reversed optimisation results have been compared with evolutionary programming results. Replacement of Pressure Valve and Direct Cyclone Contact Evaporation is proposed, while by selection of the optimum decision variable, recoverable black liquor is increased...

An exergetic model for the ambient air temperature impacts on the combined power plants and its management using the genetic algorithm

, Article International Journal of Air-Conditioning and Refrigeration ; Volume 29, Issue 1 , 2021 ; 20101325 (ISSN) Khajehpour, H ; Norouzi, N ; Fani, M ; Sharif University of Technology

World Scientific 2021

Abstract

4E analysis is used on a Brayton-Rankine combined cycle power plant (CCPP) with a dual pressure heat recovery steam generation (HRSG) system. A multi-objective genetic-based evolutionary optimization has been used to estimate the most optimal exergy efficiency status, exergy cost reduction, carbon emission reduction, and NOx emission reduction. For the validation of the data, the simulation results are compared with the plant's data. This study investigates the effect of every decisive parameter on the objective performance parameters of the CCPP. The primary estimated results are the emission rates, efficiencies, and the exergoeconomic cost of the system. At the optimum operational state,...

Long- and short-term prediction of bitcoin energy consumption

, Article 2023 8th International Conference on Technology and Energy Management, ICTEM 2023 ; 2023 ; 978-166545285-4 (ISBN) Ghadertootoonchi, A ; Bararzadeh, M ; Fani, M ; Sharif University of Technology

Institute of Electrical and Electronics Engineers Inc 2023

Abstract

Bitcoin's (BTC) mining process utilizes the proof of work (PoW) concept as the consensus algorithm., which consumes electricity. As a result., there are concerns regarding its sustainability and carbon emission. If one wants to estimate these, they first should have an estimation of the network's energy consumption which is hard to calculate due to its decentralized nature. To do so., two methods are conceivable. First, considering electricity price and miner's revenue (electricity costs are considered as a part of total revenue., then divided by electricity price to obtain electricity consumption), second, using hash rate along with the efficiency of mining devices. The latter is utilized...

Exergoeconomic optimization of black liquor gasification combined cycle using evolutionary and conventional iterative method

, Article International Journal of Chemical Reactor Engineering ; 2010 , Volume 8 ; 15426580 (ISSN) Fani, M ; Farhanieh, B ; Mozafari, A. A ; Sharif University of Technology

2010

Abstract

Gasification of black liquor is an alternative recovery technology. Pulp and paper industries are turning their attention to black liquor gasification as a replacement for recovery boilers. Gasification-combined cycle exergoeconomic analyses have been used to study the economical and exergetical performance of black liquor. Both conventional iterative exergoeconomic optimization and multi objective evolutionary optimization have been applied. The iterative optimization results have been compared with evolutionary programming results in order to evaluate the accuracy. The strength of proposed optimization methods are elucidated in a case study applied to Mazandaran Wood and Paper Industries...

Coordination of process integration and exergoeconomic methodology for analysis and optimization of a pulp and paper mill

, Article Scientia Iranica ; Volume 16, Issue 4 B , 2009 , Pages 301-312 ; 10263098 (ISSN) Fani, M ; Mozafari, A. A ; Farhanieh, B ; Sharif University of Technology

2009

Abstract

By simultaneously applying pinch technology and the exergoeconomic method to a complex process system, beneficial and energy-efficient measures are identified. The "three-link-model" exergoeconomic methodology optimizes the design and operability of a system. In this work, contrary to traditional exergoeconomic methods, a reversed method is used. The approach proposed for the optimization of such a complex system is to iteratively optimize subsystems. Since the reversed exergoeconomic method is used, assumptions considered by Tsatsaronis (based on four assumptions for calculating the cost-optimal exergetic efficiency and relative cost difference) are not applicable and new assumptions are to...

Process integration of pulp and paper mill based on the new pinch technology and dynamic simulation for saving energy

, Article 9th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2005, Orlando, FL, 10 July 2005 through 13 July 2005 ; Volume 9 , 2005 , Pages 363-367 ; 9806560612 (ISBN); 9789806560611 (ISBN) Fani, M ; Farhanieh, B ; Mozafari, A. A ; Sharif University of Technology

2005

Abstract

Optimization methods for process integration of industrial networks presented so far have dealt with grass-root situation. For retrofit ones, the actual design of the existing heat exchanger network must be taken into account. Berntsson and Stromberg (1996) developed new Composite Curves for use in a targeting and options scanning in retrofitting. The aim of this development has been to create Pinch Technology based methods, with which the general problems with process integration in Retrofit can be treated. New Pinch Technology based curves for retrofitting of heat exchanger networks have provided a graphical representation of existing HEN, including heaters and utility levels, from which...

3d Design of a Microfluidic Chip for Anticancer Drugs Screening

, M.Sc. Thesis Sharif University of Technology Hashemi, Maryam Sadat (Author) ; Mashayekhan, Shohreh (Supervisor) ; Saadatmand, Maryam (Supervisor)

Abstract

Nowadays, advanced and inexpensive pre-clinical methods for investigating the effects of anti-cancer drugs are expanding. One of the latest three-dimensional laboratory modeling for evaluating the effects of drugs is the use of tumor-on-chip technology, which actually models the physiological system of the body through three-dimensional scaffolds, multicellular cultures, and shaped vascular systems. In this study, three-dimensional culture of cancer cells was performed in the form of spheroids. A chip of U-shaped microstructures with and without gaps was used to trap cells and form cancer spheroids. We simulated the simultaneous effect of drug and oxygen concentration distribution inside the...

Exergy and exergoeconomic analysis of hydrogen and power cogeneration using an HTR plant

, Article Nuclear Engineering and Technology ; Volume 53, Issue 8 , 2021 , Pages 2753-2760 ; 17385733 (ISSN) Norouzi, N ; Talebi, S ; Fani, M ; Khajehpour, H ; Sharif University of Technology

Korean Nuclear Society 2021

Abstract

This paper proposes using sodium-cooled fast reactor technologies for use in hydrogen vapor methane (SMR) modification. Using three independent energy rings in the Russian BN-600 fast reactor, steam is generated in one of the steam-generating cycles with a pressure of 13.1 MPa and a temperature of 505 °C. The reactor's second energy cycles can increase the gas-steam mixture's temperature to the required amount for efficient correction. The 620 ton/hr 540 °C steam generated in this cycle is sufficient to supply a high-temperature synthesis current source (700 °C), which raises the steam-gas mixture's temperature in the reactor. The proposed technology provides a high rate of hydrogen...

Optimization of Pulp and Paper Process in Order to Save Energy, Fuel and Capital Investment

, Ph.D. Dissertation Sharif University of Technology Fani, Maryam (Author) ; Farhanieh, Bijan (Supervisor) ; Mozafari, Aliasghar (Supervisor)

Abstract

By applying the Pinch Technology and Exergoeconomic simultaneously, to a complex process system, beneficial and energy-efficient measures are identified.In the present research “Three-link-model” Exergoeconomic methodology optimizes the system and contrary to traditional exergoeconomic methods, reversed method is used. The approach proposed for optimization of such a complex system is to iteratively optimize subsystems. Since assumptions considered by conventional Exergoeconomic for calculating the cost-optimal exergetic efficiency and relative cost difference, are not applicable, new assumptions are to be considered. Unlike traditional Exergoeconomic method, product’s exergetic specific...

Model Checking of Stochastic Activity Networks

, M.Sc. Thesis Sharif University of Technology Maryam Bagheri (Author) ; Movaghar, Ali (Supervisor)

Abstract

Modeling and performance evaluation of the real time distributed systems is a significant problem. Stochastic activity network is one of the high level models used for this purpose. This network is an extension of generalized stochastic Petri net which is more powerful and flexible than other Petri net extensions. Checking the satisfiability of properties such as performance, dependability and user's expected properties is considerable in these models. Thus, using the approaches and generating modeling and model checking tools with the mentioned purpose is attractive. A model checker automatically checks the correctness of the system behaviors as properties against the model by getting the...

Robust Estimation and Control of a Planet Lander

, M.Sc. Thesis Sharif University of Technology Ahmadvand, Reza (Author) ; Kiani, Maryam (Supervisor)

Abstract

This study has focused on the important problem of landing on a planet as an important current and future space mission. In this regard, dynamics modeling and integrated state estimation and control problems have been investigated in different views. To this aim, first a novel concurrent representation for translational and rotational kinematics has been developed based on the extension of modified Rodrigues parameters to dual space. This parameter set, called dual modified Rodrigues parameters (DMRP), is then utilized to establish an integrated roto-translational dynamic. The proposed DMRP-based kinematics and dynamics have been verified via comparison to traditional methods of...

Optimal Energy Trading in a Smart Grid Based on Extremum-seeking Algorithm

, M.Sc. Thesis Sharif University of Technology Asgari, Houman (Author) ; Babazadeh, Maryam (Supervisor)

Abstract

Prevalent deployment of Distributed Energy Resources(DERs) in the demand side of electrical energy grids has several advantages such as greenhouse gases emission reduction, mitigation of power losses in the distribution grids and abatement of the dependency on the wholesale generation companies. At the same time, it paves the way for the advent of local interactive energy trading frameworks. In the following thesis, a distributed data-driven algorithm is developed for market-clearing in a community-based local energy market. The social welfare maximization is considered as the objective of the energy trading. The production and demand of electricity are the decision variables of sellers and...

Design of Microfluidic Chip for 3D Cell Culture

, M.Sc. Thesis Sharif University of Technology Ghobadi, Faezeh (Author) ; Saadatmand, Maryam (Supervisor)

Abstract

Understanding biological systems requires extensive knowledge of individual parameters, and to study the processes of cell differentiation and cell behavior, a suitable environment must be created with the physiological conditions of the human body. For this purpose, with the knowledge of microfluidics, a microenvironment can be provided to study the behavior of cells on a small scale. The use of bone tissue model microfluidic chips is an alternative and new method in which it is possible to study the behavior of cells to differentiate into bone and to examine the toxicity of drugs, which in itself can help in the effective and successful treatment of these cases show. Therefore, in this...

Navigation and Control of a Free-Flying Satellite for Cargo Transportation and Placement in Intra-Vehicular Environment

, M.Sc. Thesis Sharif University of Technology Moosavi, Farzan (Author) ; Kiani, Maryam (Supervisor)

Abstract

The main topic of this research is the navigation and control of a free-flying satellite with a robot manipulator while transferring and placing cargo on a space station. After connecting the cargo module, astronauts and robots need to deliver the available loads to the desired modules in a space station. Capturing an object or cargo is a critical issue studied extensively so far. However, delivery and placing of the cargo at the target point have not been investigated yet, to the best of the author’s knowledge; hence, this is a primary motivation for conducting the proposed research. After capturing the payload, the position and attitude of the manipulator with respect to the station’s...

Fabrication the Hydrogel Microfibers Using Bioprinter with Application in Cardiovascular Model

, M.Sc. Thesis Sharif University of Technology Heidari, Faranak (Author) ; Saadatmand, Maryam (Supervisor)

Abstract

Cardiovascular disease (CVD) currently remains a considerable challenge for clinical treatments. CVDs account for N17.5 million deaths per year and will predictably increase to 23.6 million by 2030. The main purpose is to create human model systems to study the effect of disease mutations or drug treatment on the heart. In addition, engineered cardiac tissues are considered promising candidates to be transplanted to improve the function of diseased hearts. For engineered active tissues/organs, 3D bioprinting can fabricate complex tissue architecture with a spatiotemporal distribution of bioactive substances (cells, growth factors, and others) to better guide tissue regeneration. However,...

Utilizing Gaussian Processes to Learn Dynamics of Unknown Torques Acting on a Spacecraft

, M.Sc. Thesis Sharif University of Technology Baradaran, Behdad (Author) ; Kiani, Maryam (Supervisor)

Abstract

Accurate and fast attitude estimation of a rigid body plays an essential role in the performance of a vehicle’s control system, especially aerospace vehicles. Ample works have been done to increase the accuracy and speed of the attitude estimation process, but all have been developed according to a model-based approach. This approach assumes that the torques acting on the body have a known dynamical model that is used for the attitude estimation. The purpose of the present research is to estimate the attitude via a model-free approach, i. e. dynamics of the torques acting on the body are no longer assumed to be known, and its learning is the next step. Thus, the problem formulation of this...

Stabilization and Pole-Placement by Structurally-Constrained Controllers: A Graph-Theoretic Approach

, M.Sc. Thesis Sharif University of Technology Moushaee, Pegah (Author) ; Babazadeh, Maryam (Supervisor)

Abstract

This thesis presents a new approach to design structural output feedback controllers with stabilization and pole-placement at desired points on the S plane. It is assumed that the linear time-invariant system has no fixed mode corresponding to the specified control structure, outside the desired region of the closed-loop poles, such that the structural controller design problem is theoretically feasible. To this end, the structural output controller design problem is first transformed into a structurally equivalent problem based on the solution of a set of discrete linear programs. Then, by using the resultant structure, a new method is proposed for designing static and dynamic control loops...

Fabrication of Thick Scaffold with Microfluidic Channels by Bioprinter

, M.Sc. Thesis Sharif University of Technology Khalighi, Sadaf (Author) ; Saadatmand, Maryam (Supervisor)

Abstract

Cardiovascular diseases are among the leading causes of death worldwide. For instance, in 2015, almost 31% of the world’s mortality rate was due to these causes. One of these diseases is cardiac coronary vessels’ occlusion which leads to the insufficient blood supply to the heart tissue and cardiomyocytes death after Myocardial Infarction (MI). After MI, a hierarchy of events in the heart tissue changes heart muscle and forms cardiac fibrosis. This fibrotic tissue does not have the native one’s properties and function, so it will cause cardiac arrest and patient death. Therefore, it is obvious that vascular network plays a crucial role in the heart function. The importance of cardiac...

Optimal Control of Unknown Interconnected Systems via Distributed Learning

, M.Sc. Thesis Sharif University of Technology Farjadnasab, Milad (Author) ; Babazadeh, Maryam (Supervisor)

Abstract

This thesis addresses the problem of optimal distributed control of unknown interconnected systems. In order to deal with this problem, a data-driven learning framework for finding the optimal centralized and the suboptimal distributed controllers has been developed via convex optimization.First of all, the linear quadratic regulation (LQR) problem is formulated into a nonconvex optimization problem. Using Lagrangian duality theories, a semidefinite program is then developed that requires information about the system dynamics. It is shown that the optimal solution to this problem is independent of the initial conditions and represents the Q-function, an important concept in reinforcement...

Fixed-Time Consensus Control of Unknown Multi-Agent Systems Based on Distributed Reinforcement Learning

, M.Sc. Thesis Sharif University of Technology Delshad, Aria (Author) ; Babazadeh, Maryam (Supervisor)

Abstract

This thesis introduces a distributed backstepping control strategy based on reinforcement learning to achieve fixed-time consensus in high-order nonlinear multi-agent systems. Each agent, whether a leader or a follower, is modeled using a strict feedback approach, incorporating uncertainties as unknown nonlinear functions and disturbance signals across all state variables. The communication network among agents can be either directed or undirected, with a fixed topology. Each follower employs a control law derived from actor-critic networks, utilizing only the outputs from neighboring agents. The proposed method combines virtual and actual backstepping control laws, formulated from two key...