Zahra Pezeshki | Moscow Power Engineering Institute (original) (raw)

Papers by Zahra Pezeshki

Energy Systems, Dec 28, 2024

The purpose of the work was to evaluate the maximum possible electricity generation from solar pa... more The purpose of the work was to evaluate the maximum possible electricity generation from solar panels placed on the surface of the building envelope and to assess the factors that can significantly affect the efficiency of the solar system. The object of the study is a 10-storey residential building located in the city of Mytishchi, Moscow region, built according to a standard project and put into operation in 1996.The PVsyst 7.4 software package was used to determine parameters and analyse data of complex photo-voltaic systems. As a result, the residential building can be fully supplied with solar energy to meet the electricity needs of the community, as well as the total electricity needs of the residents for personal needs by 31% through solar panels on the roof and 6% through solar panels on the facade per year, provided that there are no restrictions on the supply of electricity to the grid.

Energy Systems, Dec 10, 2024

This work deals with the analysis of a micro-cogeneration system or micro-Combined Heat and Power... more This work deals with the analysis of a micro-cogeneration system or micro-Combined Heat and Power (μCHP) system for residential use based on a highest energy conversion efficiency Proton Exchange Membrane (PEM) fuel cell. A detailed system analysis of the fuel cell stack operating at a maximum ambient temperature of 40 °C and balance of electricity are taken into account. The hydrogen gas processing section and the heat recovery system were also designed and optimized in term of heat recovery. The micro-cogeneration system has been modelled and set on the basis of experimental data obtained during the operation of the residential building in term of mass and energy balances while efficiency maps were obtained for a varying fuel utilization and current density of the stack from ANSIS. The maximum electrical efficiency achieved is around 48%, with astack voltage of 1.23V and a Fuel Utilization (FU) of 60%, achieves to 2% hydrogen energy obtained from hydrogen fuel cells based on this design, and cover electrical and heat loads at home.

Advances in information quality and management, Jul 1, 2024

Project management is a highly sophisticated undertaking requiring the synthesis of various inter... more Project management is a highly sophisticated undertaking requiring the synthesis of various interconnected functions, processes, and activities. Numerous risks and uncertainties are inherent to all these inputs. Consequently, successful project management entails the optimization of the complete project as a system. In order to achieve this result, however, the various system subsets to the project must themselves be optimized. Given the current complexity of projects, optimization cannot be adequately undertaken by intuitive judgment alone. Philosophically, optimization is a mathematical concept, and mathematical algorithms are available to identify ideal operating parameters for any given problem. This chapter samples a range of features inherent to project management operations and presents mathematical algorithms that deliver optimal solution sets. The material is collated from literature and adapted to the project management context.

IGI Global, 2024

Project management is a highly sophisticated undertaking requiring the synthesis of various inter... more Project management is a highly sophisticated undertaking requiring the synthesis of various interconnected functions, processes, and activities. Numerous risks and uncertainties are inherent to all these inputs. Consequently, successful project management entails the optimization of the complete project as a system. In order to achieve this result, however, the various system subsets to the project must themselves be optimized. Given the current complexity of projects, optimization cannot be adequately undertaken by intuitive judgment alone. Philosophically, optimization is a mathematical concept, and mathematical algorithms are available to identify ideal operating parameters for any given problem. This chapter samples a range of features inherent to project management operations and presents mathematical algorithms that deliver optimal solution sets. The material is collated from literature and adapted to the project management context.

2nd International Conference on Civil Engineering

Forward to the martyrs of the whole history of Iran, proposes a data-oriented predictive maintena... more Forward to the martyrs of the whole history of Iran, proposes a data-oriented predictive maintenance (PdM) framework for museum buildings, using digital twins to monitor and optimize their condition. Museum buildings are a precious cultural heritage that needs special care, but they face many problems in their maintenance, such as high costs, low efficiency, and complex data management. The framework uses technologies like building information modeling, deep learning, machine vision, the Internet of Things, and blockchain to address these problems and improve the maintenance process. The paper uses Hamedan's Sacred Defense Museum Garden as a case study and describes the design, implementation, and evaluation of the framework. The paper also discusses the results, implications, limitations, and future directions of the research. The paper shows that the framework can reduce costs and risks, increase sustainability and efficiency, create and manage detailed digital models, secure and verify data transactions, and consider ethical and social aspects of PdM and digital twins for museum building maintenance. The paper is consistent with previous studies on PdM and digital twins and has important implications for museum building maintenance and cultural heritage preservation.

2nd International Conference on Civil Engineering, 2024

This paper proposes a novel framework for automatic monitoring and controlling of the key success... more This paper proposes a novel framework for automatic monitoring and controlling of the key success factors of construction projects based on deep learning and machine vision. The paper addresses the research problem of how to improve the efficiency, effectiveness, and performance of construction projects by using these techniques, and what are the benefits and challenges of doing so. The paper presents the design and implementation of the framework, which consists of two types of models: a convolutional neural network (CNN) for monitoring the key success factors, and a reinforcement learning (RL) algorithm for controlling the key success factors. The paper also evaluates the performance and accuracy of the framework using a dataset of images and videos from different construction scenarios, and reports the results using various metrics and criteria. The paper discusses the implications and applications of the work, and compares and contrasts it with the existing literature and state-of-the-art methods. The paper also acknowledges the limitations and challenges of the work, and suggests possible directions for future research and improvement. The paper concludes that the proposed framework can contribute to the advancement of the field of civil engineering and artificial intelligence, and have positive impacts for the construction industry and the society at large.

4th International Law Conference, 2024

Building Information Modeling (BIM) is a process that involves the creation and exchange of digit... more Building Information Modeling (BIM) is a process that involves the creation and exchange of digital representations of physical and functional characteristics of buildings and infrastructure. BIM can facilitate the planning, design, construction, operation, and maintenance of buildings and infrastructure projects. However, BIM also poses new challenges and implications for the contractual relationships and obligations among the project parties. Therefore, there is a need for a framework and methods for BIM contract management and monitoring, which can address the issues and implications of BIM use and exchange, and ensure the successful implementation and adoption of BIM contracts. This article proposes a framework and methods for BIM contract management and monitoring, which consist of four phases: BIM contract planning, BIM contract execution, BIM contract control, and BIM contract closure. The article also describes and demonstrates the roles and functions of the methods for BIM contract management and monitoring, which include BIM Execution Plan (BEP), BIM Addendum, BIM Protocol, BIM Manager, BIM Team, BIM Dashboard, BIM Audit, and BIM Dispute Resolution. The article concludes with a discussion of the benefits and challenges of the proposed framework and methods, and the implications and recommendations for future research and practice.

4th International Law Conference, 2024

This paper aims to compare conventional contracts and smart contracts in the construction industr... more This paper aims to compare conventional contracts and smart contracts in the construction industry and explore the potential benefits and challenges of using BIM smart contracts for construction project management. The paper adopts a mixed-methods approach, consisting of a literature review, a web search, and a coding analysis. The paper finds that smart contracts can offer significant advantages over conventional contracts in terms of automation, transparency, security, and efficiency and that BIM smart contracts can leverage the data and parameters of the BIM model to automate and authenticate the performance of contractual obligations. The paper also identifies and compares the different types and features of smart contracts, such as BIM smart contracts, dynamic NFTs, and time-locked contracts, and analyzes their legal status and challenges in different countries. The paper concludes that BIM smart contracts have great potential to improve construction contract management and project performance, but also face some technical, legal, and social barriers that need to be addressed. The paper suggests some directions for future research and practice based on the findings and limitations of the study.

CRC Press eBooks, May 20, 2022

Journal of autonomous intelligence, May 9, 2022

In recent years, several studies using smart methods and soft computing in the field of HVAC syst... more In recent years, several studies using smart methods and soft computing in the field of HVAC systems have been provided. In this paper, we propose a framework which will strengthen the benefits of the Fuzzy Logic (FL) and Neural Fuzzy (NF) systems to estimate outdoor temperature. In this regard, Adaptive Neuro Fuzzy Inference System (ANFIS) is used in effective combination of strategic information for estimating the outdoor temperature of the building. A novel versatile calculation focused around ANFIS is proposed to adjust logical progressions and to weaken the questionable aggravation of estimation information from multisensory. Due to ANFIS accuracy in specialized predictions, it is an effective device to manage vulnerabilities of each experiential framework. The NF system can concentrate on measurable properties of the samples throughout the preparation sessions. Reproduction results demonstrate that the calculation can successfully alter the framework to adjust context oriented progressions and has solid combination capacity in opposing questionable data. This sagacious estimator is actualized utilizing Matlab and the exhibitions are explored. The aim of this study is to improve the overall performance of HVAC systems in terms of energy efficiency and thermal comfort in the building.

Environmental and Microbial Biotechnology, 2022

Energy is one of the critical needs of human being that plays an imperative role for countries in... more Energy is one of the critical needs of human being that plays an imperative role for countries in the world. Today high prices of conventional energy like oil, natural gas, and coal, is a serious problem around the world, and in order to overcome this problem, many technologies have been introduced. One of them is electricity generation from microbes, which has many applications as clean energy, reduction of environmental and air pollution, energy efficiency, availability, and sustainability. It can supply the demands of the current generation without decreasing the potential of the future generation. This chapter investigates the research papers in this regard to show the applications of microbes in electric generation.

Computer Science and Information Technologies, 2021

This article describes the process of design and simulation of a high-swing fully differential te... more This article describes the process of design and simulation of a high-swing fully differential telescopic Operational Amplifier (Op-Amp). Due to the Common Gate-Common Source (CG and CS) cascode structure, the gain is very high. To maximize this gain, the load must also be selected such as two current sources. This circuit has the higher voltage in output than current Op-Amps in accordance with desirable characteristics. The loss of power of this operating amplifier are very low and in milliwatts. With use of a power supply of 1.8 V, it achieves a high-swing 1.2 V, a differential gain of 76.333 dB, ω_uGB of 412 MHz, and 50 dB CMRR. This new design through the simulations and analytically shows that the high-swing fully differential telescopic Op-Amp retains its high CMRR even at high frequencies.

Materials Research Foundations, 2021

The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed ... more The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed on semiconductor materials, solar cell efficiency, improvements in surface recombination velocity, charge density, high ultraviolet (UV) sensitivity, modeling of solar cells etc. The book references 281 original resources with their direct web links for in-depth reading.

Journal of Autonomous Intelligence, 2019

In recent years, several studies using smart methods and soft computing in the field of HVAC syst... more In recent years, several studies using smart methods and soft computing in the field of HVAC systems has been provided. In this paper, we propose a framework which will strengthen the benefits of the fuzzy logic and neural fuzzy systems to estimate outdoor temperature. In this regard, ANFIS is used in effective combination of strategic information for estimating the outdoor temperature of the building. A novel versatile calculation focused around ANFIS is proposed to adjust logical progressions and to weaken the questionable aggravation of estimation information from multisensory. Due to ANFIS accuracy in specialized predictions, it is an effective device to manage vulnerabilities of each experiential framework. The neural fuzzy system can concentrate on measurable properties of the samples throughout the preparation sessions. Reproduction results demonstrate that the calculation can successfully alter the framework to adjust context oriented progressions and has solid combination c...

Membrane Contactor Technology, 2021

This chapter is a comprehensive overview from market shares, and growth opportunities of membrane... more This chapter is a comprehensive overview from market shares, and growth opportunities of membrane contactors markets related to water and wastewater treatment and food and beverage processing industries by product type, application, key manufacturers and key regions and countries. This chapter especially analyses the impact of drivers and challenges on the membrane contactor covering the supply chain analysis and market size growth based on the compound annual growth rate (CAGR), price and other substantial factors. This chapter also offers a complete study of the future trends and developments of this market. It also examines the role of the leading market players involved in these two industries.

2020 Zooming Innovation in Consumer Technologies Conference (ZINC), 2020

This paper offers a novel method with the help of Genetic Algorithm (GA) to find the optimal solu... more This paper offers a novel method with the help of Genetic Algorithm (GA) to find the optimal solution for determining the HVAC location. It wants to follow a world optimal solution to find the best result by removing the limitations such as unknown fitness conditions, instability, noise, as well as much local minimum. This new method is called GA for Best Heating-Cooling Location (GA-FBHCL). According to our prior work which have accommodated the Taguchi method for the aims of Building Energy Modelling (BEM) and optimization to forecast the best heating and cooling appliances location in one of the Toos Arman Star Apartment Hotel units in Mashhad, Iran, now we introduce a new theory and design with the help of GA for this goal which the EM results achieved from the GA-FBHCL method are 5-9% better than the Taguchi method and initial design of room. This approach can be utilized with project developers, policymakers and researchers as a new globally approach in construction industry.

Fundamentals of Solar Cell Design, 2021

IOP Conference Series: Materials Science and Engineering, 2020

The complexity of real constructions, with irregular geometry, inhomogeneous materials, variable ... more The complexity of real constructions, with irregular geometry, inhomogeneous materials, variable morphology, alterations and damages, poses numerous challenges in digital modeling and simulation of structural performances under different types of actions. Recent developments in Building Information Modeling (BIM) have introduced advanced modeling capabilities. This paper presents a new methodology using BIM2BEM for the estimation of heating and cooling time after we turn on the HVAC systems. The generation of the BIM is carried out with information of a case study model in Autodesk REVIT software. Then, BIM is turned into a Finite Element Model (FEM) in COMSOL Multiphysics software and Building Energy Modelling (BEM) is obtained in winter and summer which preserves irregularities and anomalies, such as verticality deviation and variable thickness. Afterwards, the cooling and heating time of the whole room after turning on the cooling and heating appliances was calculated and compare...

Energy Systems, Dec 28, 2024

The purpose of the work was to evaluate the maximum possible electricity generation from solar pa... more The purpose of the work was to evaluate the maximum possible electricity generation from solar panels placed on the surface of the building envelope and to assess the factors that can significantly affect the efficiency of the solar system. The object of the study is a 10-storey residential building located in the city of Mytishchi, Moscow region, built according to a standard project and put into operation in 1996.The PVsyst 7.4 software package was used to determine parameters and analyse data of complex photo-voltaic systems. As a result, the residential building can be fully supplied with solar energy to meet the electricity needs of the community, as well as the total electricity needs of the residents for personal needs by 31% through solar panels on the roof and 6% through solar panels on the facade per year, provided that there are no restrictions on the supply of electricity to the grid.

Energy Systems, Dec 10, 2024

This work deals with the analysis of a micro-cogeneration system or micro-Combined Heat and Power... more This work deals with the analysis of a micro-cogeneration system or micro-Combined Heat and Power (μCHP) system for residential use based on a highest energy conversion efficiency Proton Exchange Membrane (PEM) fuel cell. A detailed system analysis of the fuel cell stack operating at a maximum ambient temperature of 40 °C and balance of electricity are taken into account. The hydrogen gas processing section and the heat recovery system were also designed and optimized in term of heat recovery. The micro-cogeneration system has been modelled and set on the basis of experimental data obtained during the operation of the residential building in term of mass and energy balances while efficiency maps were obtained for a varying fuel utilization and current density of the stack from ANSIS. The maximum electrical efficiency achieved is around 48%, with astack voltage of 1.23V and a Fuel Utilization (FU) of 60%, achieves to 2% hydrogen energy obtained from hydrogen fuel cells based on this design, and cover electrical and heat loads at home.

Advances in information quality and management, Jul 1, 2024

Project management is a highly sophisticated undertaking requiring the synthesis of various inter... more Project management is a highly sophisticated undertaking requiring the synthesis of various interconnected functions, processes, and activities. Numerous risks and uncertainties are inherent to all these inputs. Consequently, successful project management entails the optimization of the complete project as a system. In order to achieve this result, however, the various system subsets to the project must themselves be optimized. Given the current complexity of projects, optimization cannot be adequately undertaken by intuitive judgment alone. Philosophically, optimization is a mathematical concept, and mathematical algorithms are available to identify ideal operating parameters for any given problem. This chapter samples a range of features inherent to project management operations and presents mathematical algorithms that deliver optimal solution sets. The material is collated from literature and adapted to the project management context.

IGI Global, 2024

Project management is a highly sophisticated undertaking requiring the synthesis of various inter... more Project management is a highly sophisticated undertaking requiring the synthesis of various interconnected functions, processes, and activities. Numerous risks and uncertainties are inherent to all these inputs. Consequently, successful project management entails the optimization of the complete project as a system. In order to achieve this result, however, the various system subsets to the project must themselves be optimized. Given the current complexity of projects, optimization cannot be adequately undertaken by intuitive judgment alone. Philosophically, optimization is a mathematical concept, and mathematical algorithms are available to identify ideal operating parameters for any given problem. This chapter samples a range of features inherent to project management operations and presents mathematical algorithms that deliver optimal solution sets. The material is collated from literature and adapted to the project management context.

2nd International Conference on Civil Engineering

Forward to the martyrs of the whole history of Iran, proposes a data-oriented predictive maintena... more Forward to the martyrs of the whole history of Iran, proposes a data-oriented predictive maintenance (PdM) framework for museum buildings, using digital twins to monitor and optimize their condition. Museum buildings are a precious cultural heritage that needs special care, but they face many problems in their maintenance, such as high costs, low efficiency, and complex data management. The framework uses technologies like building information modeling, deep learning, machine vision, the Internet of Things, and blockchain to address these problems and improve the maintenance process. The paper uses Hamedan's Sacred Defense Museum Garden as a case study and describes the design, implementation, and evaluation of the framework. The paper also discusses the results, implications, limitations, and future directions of the research. The paper shows that the framework can reduce costs and risks, increase sustainability and efficiency, create and manage detailed digital models, secure and verify data transactions, and consider ethical and social aspects of PdM and digital twins for museum building maintenance. The paper is consistent with previous studies on PdM and digital twins and has important implications for museum building maintenance and cultural heritage preservation.

2nd International Conference on Civil Engineering, 2024

This paper proposes a novel framework for automatic monitoring and controlling of the key success... more This paper proposes a novel framework for automatic monitoring and controlling of the key success factors of construction projects based on deep learning and machine vision. The paper addresses the research problem of how to improve the efficiency, effectiveness, and performance of construction projects by using these techniques, and what are the benefits and challenges of doing so. The paper presents the design and implementation of the framework, which consists of two types of models: a convolutional neural network (CNN) for monitoring the key success factors, and a reinforcement learning (RL) algorithm for controlling the key success factors. The paper also evaluates the performance and accuracy of the framework using a dataset of images and videos from different construction scenarios, and reports the results using various metrics and criteria. The paper discusses the implications and applications of the work, and compares and contrasts it with the existing literature and state-of-the-art methods. The paper also acknowledges the limitations and challenges of the work, and suggests possible directions for future research and improvement. The paper concludes that the proposed framework can contribute to the advancement of the field of civil engineering and artificial intelligence, and have positive impacts for the construction industry and the society at large.

4th International Law Conference, 2024

Building Information Modeling (BIM) is a process that involves the creation and exchange of digit... more Building Information Modeling (BIM) is a process that involves the creation and exchange of digital representations of physical and functional characteristics of buildings and infrastructure. BIM can facilitate the planning, design, construction, operation, and maintenance of buildings and infrastructure projects. However, BIM also poses new challenges and implications for the contractual relationships and obligations among the project parties. Therefore, there is a need for a framework and methods for BIM contract management and monitoring, which can address the issues and implications of BIM use and exchange, and ensure the successful implementation and adoption of BIM contracts. This article proposes a framework and methods for BIM contract management and monitoring, which consist of four phases: BIM contract planning, BIM contract execution, BIM contract control, and BIM contract closure. The article also describes and demonstrates the roles and functions of the methods for BIM contract management and monitoring, which include BIM Execution Plan (BEP), BIM Addendum, BIM Protocol, BIM Manager, BIM Team, BIM Dashboard, BIM Audit, and BIM Dispute Resolution. The article concludes with a discussion of the benefits and challenges of the proposed framework and methods, and the implications and recommendations for future research and practice.

4th International Law Conference, 2024

This paper aims to compare conventional contracts and smart contracts in the construction industr... more This paper aims to compare conventional contracts and smart contracts in the construction industry and explore the potential benefits and challenges of using BIM smart contracts for construction project management. The paper adopts a mixed-methods approach, consisting of a literature review, a web search, and a coding analysis. The paper finds that smart contracts can offer significant advantages over conventional contracts in terms of automation, transparency, security, and efficiency and that BIM smart contracts can leverage the data and parameters of the BIM model to automate and authenticate the performance of contractual obligations. The paper also identifies and compares the different types and features of smart contracts, such as BIM smart contracts, dynamic NFTs, and time-locked contracts, and analyzes their legal status and challenges in different countries. The paper concludes that BIM smart contracts have great potential to improve construction contract management and project performance, but also face some technical, legal, and social barriers that need to be addressed. The paper suggests some directions for future research and practice based on the findings and limitations of the study.

CRC Press eBooks, May 20, 2022

Journal of autonomous intelligence, May 9, 2022

In recent years, several studies using smart methods and soft computing in the field of HVAC syst... more In recent years, several studies using smart methods and soft computing in the field of HVAC systems have been provided. In this paper, we propose a framework which will strengthen the benefits of the Fuzzy Logic (FL) and Neural Fuzzy (NF) systems to estimate outdoor temperature. In this regard, Adaptive Neuro Fuzzy Inference System (ANFIS) is used in effective combination of strategic information for estimating the outdoor temperature of the building. A novel versatile calculation focused around ANFIS is proposed to adjust logical progressions and to weaken the questionable aggravation of estimation information from multisensory. Due to ANFIS accuracy in specialized predictions, it is an effective device to manage vulnerabilities of each experiential framework. The NF system can concentrate on measurable properties of the samples throughout the preparation sessions. Reproduction results demonstrate that the calculation can successfully alter the framework to adjust context oriented progressions and has solid combination capacity in opposing questionable data. This sagacious estimator is actualized utilizing Matlab and the exhibitions are explored. The aim of this study is to improve the overall performance of HVAC systems in terms of energy efficiency and thermal comfort in the building.

Environmental and Microbial Biotechnology, 2022

Energy is one of the critical needs of human being that plays an imperative role for countries in... more Energy is one of the critical needs of human being that plays an imperative role for countries in the world. Today high prices of conventional energy like oil, natural gas, and coal, is a serious problem around the world, and in order to overcome this problem, many technologies have been introduced. One of them is electricity generation from microbes, which has many applications as clean energy, reduction of environmental and air pollution, energy efficiency, availability, and sustainability. It can supply the demands of the current generation without decreasing the potential of the future generation. This chapter investigates the research papers in this regard to show the applications of microbes in electric generation.

Computer Science and Information Technologies, 2021

This article describes the process of design and simulation of a high-swing fully differential te... more This article describes the process of design and simulation of a high-swing fully differential telescopic Operational Amplifier (Op-Amp). Due to the Common Gate-Common Source (CG and CS) cascode structure, the gain is very high. To maximize this gain, the load must also be selected such as two current sources. This circuit has the higher voltage in output than current Op-Amps in accordance with desirable characteristics. The loss of power of this operating amplifier are very low and in milliwatts. With use of a power supply of 1.8 V, it achieves a high-swing 1.2 V, a differential gain of 76.333 dB, ω_uGB of 412 MHz, and 50 dB CMRR. This new design through the simulations and analytically shows that the high-swing fully differential telescopic Op-Amp retains its high CMRR even at high frequencies.

Materials Research Foundations, 2021

The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed ... more The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed on semiconductor materials, solar cell efficiency, improvements in surface recombination velocity, charge density, high ultraviolet (UV) sensitivity, modeling of solar cells etc. The book references 281 original resources with their direct web links for in-depth reading.

Journal of Autonomous Intelligence, 2019

In recent years, several studies using smart methods and soft computing in the field of HVAC syst... more In recent years, several studies using smart methods and soft computing in the field of HVAC systems has been provided. In this paper, we propose a framework which will strengthen the benefits of the fuzzy logic and neural fuzzy systems to estimate outdoor temperature. In this regard, ANFIS is used in effective combination of strategic information for estimating the outdoor temperature of the building. A novel versatile calculation focused around ANFIS is proposed to adjust logical progressions and to weaken the questionable aggravation of estimation information from multisensory. Due to ANFIS accuracy in specialized predictions, it is an effective device to manage vulnerabilities of each experiential framework. The neural fuzzy system can concentrate on measurable properties of the samples throughout the preparation sessions. Reproduction results demonstrate that the calculation can successfully alter the framework to adjust context oriented progressions and has solid combination c...

Membrane Contactor Technology, 2021

This chapter is a comprehensive overview from market shares, and growth opportunities of membrane... more This chapter is a comprehensive overview from market shares, and growth opportunities of membrane contactors markets related to water and wastewater treatment and food and beverage processing industries by product type, application, key manufacturers and key regions and countries. This chapter especially analyses the impact of drivers and challenges on the membrane contactor covering the supply chain analysis and market size growth based on the compound annual growth rate (CAGR), price and other substantial factors. This chapter also offers a complete study of the future trends and developments of this market. It also examines the role of the leading market players involved in these two industries.

2020 Zooming Innovation in Consumer Technologies Conference (ZINC), 2020

This paper offers a novel method with the help of Genetic Algorithm (GA) to find the optimal solu... more This paper offers a novel method with the help of Genetic Algorithm (GA) to find the optimal solution for determining the HVAC location. It wants to follow a world optimal solution to find the best result by removing the limitations such as unknown fitness conditions, instability, noise, as well as much local minimum. This new method is called GA for Best Heating-Cooling Location (GA-FBHCL). According to our prior work which have accommodated the Taguchi method for the aims of Building Energy Modelling (BEM) and optimization to forecast the best heating and cooling appliances location in one of the Toos Arman Star Apartment Hotel units in Mashhad, Iran, now we introduce a new theory and design with the help of GA for this goal which the EM results achieved from the GA-FBHCL method are 5-9% better than the Taguchi method and initial design of room. This approach can be utilized with project developers, policymakers and researchers as a new globally approach in construction industry.

Fundamentals of Solar Cell Design, 2021

IOP Conference Series: Materials Science and Engineering, 2020

The complexity of real constructions, with irregular geometry, inhomogeneous materials, variable ... more The complexity of real constructions, with irregular geometry, inhomogeneous materials, variable morphology, alterations and damages, poses numerous challenges in digital modeling and simulation of structural performances under different types of actions. Recent developments in Building Information Modeling (BIM) have introduced advanced modeling capabilities. This paper presents a new methodology using BIM2BEM for the estimation of heating and cooling time after we turn on the HVAC systems. The generation of the BIM is carried out with information of a case study model in Autodesk REVIT software. Then, BIM is turned into a Finite Element Model (FEM) in COMSOL Multiphysics software and Building Energy Modelling (BEM) is obtained in winter and summer which preserves irregularities and anomalies, such as verticality deviation and variable thickness. Afterwards, the cooling and heating time of the whole room after turning on the cooling and heating appliances was calculated and compare...

Shahrood University of Technology, Sep 4, 2018

In today's life, it's necessary to pay attention to saving energy. There are a lot of research an... more In today's life, it's necessary to pay attention to saving energy. There are a lot of research and studies in this area to minimize the potential for energy losses. Building Information Modeling (BIM) has been considered as a coordinated model for nearly two decades. BIM is a utility software program that integrates the building information required in the building including a three-dimensional architecture, a map of the electrical installations, etc., and, with the intelligence it is predicted, can provide the necessary offers, time and order of execution to the building engineer, and if, for some reason, a part of the map is changed in any case, report the bugs that arise in the next steps. One of the issues that can be solved by BIM as a powerful database is energy issues. The first step for maintaining energy is to find a way to reduce consumption and save money. In fact, saving energy means less cost, less fuel and less pollution. Hence, we need to look for the necessary infrastructure to reduce the use and distribute optimal energy. This thesis aims to develop the methodology of one of the articles (Gerrish et al. method) by proposing a new and innovative design using thermal energy optimization and temperature estimates obtained from the EM software, and predict the best location for heating and cooling appliances. In this study, all the information about one of the units of the Toos Arman Star Apartment Hotel project located on Navvab Safavi Avenue in Mashhad, near Imam Reza Shrine (PBUH), was obtained from this project, and was modeled on BIM software. Then, the key parameters of the building were investigated and all of them were extracted from the BIM software. In the following, EM was investigated using the energy simulation software. Validation was also done by comparing the simulation results and the actual results. For optimization, two optimization methods of genetic algorithm (GA) and Taguchi method was used to determine the optimal location of cooling devices. In GA, we tried to maximize the satisfaction of building residents by defining the fitness function as approaching the thermal comfort point of 25℃. The results of GA and Taguchi optimizations were introduced into the energy simulation software, and again, EM was performed using determined critical points. Since the proposed topic of this thesis is new and so far no action has been taken to determine the best location for the installation of heating and cooling appliances, the EM optimization result of GA was compared with the EM result of two Signal-to-Noise Ratio analysis (SNR) and Analysis of Variance (ANOVA) of the Taguchi method and EM result of the unit studied.

Taylor and Francis, 2022

We hear in the news every day about zero carbon emissions. The most alarming concerns air and env... more We hear in the news every day about zero carbon emissions. The most alarming concerns air and environmental pollution due to carbon emissions that take the lives of millions of people every year, and this is not the only consequence. This pollution is increasing the heat of the planet every year and has caused the melting of ice, the burning of forests, and the consequent loss of life on the planet. Scientists have suggested the use of sustainable resources to prevent this. One way to use sustainable resources is to utilize water splitting. The history of water splitting dates back to 1860, when a French inventor named H. Charles Vion invented a device for the water splitting reaction and the production of hydrogen gas from water. Gradually, scientists began to think about developing this reaction and enhancing the methods of electrolysis, photocatalysis, radiolysis, and thermolysis. Since these methods alone were not very effective, they decided to use polymers and their composites to develop these methods and increase their efficiency. This chapter, after introducing the applications of water splitting methods, polymers and their compounds in these methods, shows how to use them in water splitting to generate hydrogen and oxygen gases.

John Wiley and Sons, 2021

This chapter is a comprehensive overview from market shares, and growth opportunities of membrane... more This chapter is a comprehensive overview from market shares, and growth opportunities of membrane contactors markets related to water and wastewater treatment and food and beverage processing industries by product type, application, key manufacturers and key regions and countries. This chapter especially analyses the impact of drivers and challenges on the membrane contactor covering the supply chain analysis and market size growth based on the compound annual growth rate (CAGR), price and other substantial factors. This chapter also offers a complete study of the future trends and developments of this market. It also examines the role of the leading market players involved in these two industries.

Springer, 2022

Energy is one of the critical needs of human being that plays an imperative role for countries in... more Energy is one of the critical needs of human being that plays an imperative role for countries in the world. Today high prices of conventional energy like oil, natural gas, and coal, is a serious problem around the world, and in order to overcome this problem, many technologies have been introduced. One of them is electricity generation from microbes, which has many applications as clean energy, reduction of environmental and air pollution, energy efficiency, availability, and sustainability. It can supply the demands of the current generation without decreasing the potential of the future generation. This chapter investigates the research papers in this regard to show the applications of microbes in electric generation.

Materials Research Forum LLC, Apr 29, 2021

The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed ... more The book presents a comprehensive survey about advanced solar cell technologies. Focus is placed on semiconductor materials, solar cell efficiency, improvements in surface recombination velocity, charge density, high ultraviolet (UV) sensitivity, modeling of solar cells etc. The book references 281 original resources with their direct web links for in-depth reading.

Elsevier, Mar 1, 2021

Today pollution is one of the most important issues all around the world, and scientists and rese... more Today pollution is one of the most important issues all around the world, and scientists and researchers try to resolve this problem. Among the solutions, biodegradation is a way for concentration attenuation of contaminates. In this chapter, we follow this subject. Thus, after introducing this context, we have explored the optimization, modelling, prediction, and the best kinetics factors of the papers from 1970 to 2020 which support the biodegradation process by biosurfactants. We have followed the parts accurately by definition of the necessary parameters, features and things in this regard. It is a road map for interests who pursue this goal.