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Open Access Article
1 - Energy Carrier Consumption Optimization Policy in National Iranian Copper Industries Company (Case Study: Sarcheshmeh Copper Complex)
Mohammad Reza Fathi Adel Azar Gholam Reza Jandaghi shirin ranjebartotoyy babak azari reza mortazaiiBackground and Aim: Energy management and efficiency is one of the strategic policies of countries in supplying the required energy, responding to energy demand and addressing their environmental challenges and concerns. Therefore, the purpose of this study is to explai MoreBackground and Aim: Energy management and efficiency is one of the strategic policies of countries in supplying the required energy, responding to energy demand and addressing their environmental challenges and concerns. Therefore, the purpose of this study is to explain the policy of optimizing the production and consumption of energy carriers in Sarcheshmeh copper complex. Method: The present study has an exploratory approach in terms of purpose. The statistical population of this study includes copper industry experts in three categories of managers, heads and supervisors. Snowball sampling method was used to collect the sample and it was done until the theoretical saturation was reached. The number of statistical samples was 75 people. Research data were collected using semi-structured interviews. In this research, the qualitative method of content analysis (theme) and Atlas software (8) have been used. Findings: The research findings are presented in the form of a conceptual model for the factors affecting the optimization of energy consumption in Sarcheshmeh National Copper Company. This model includes 7 areas of environmental factors, production factors; Structural factors; Content_behavioral factors; Energy Management; Network energy efficiency and energy efficiency. Conclusion: The results of the study showed that; All areas of conceptual model, accelerating and facilitating factors, and barriers and limitations of energy consumption optimization are classified according to the conceptual model of energy management in May et al. (2016). Manuscript profile -
Open Access Article
2 - The Feasibility of Construction of Zero-Energy Building in the Cold and Semi-Arid Climate (Case Study: Mashhad)
Nima Amani Mostafa Moghadas MashhadBackground and Objective: The objective of this study is to evaluate and design a zero energy building in cold and dry climates. In this study, energy consumption will be reduced by using of the solar-powered systems and techniques for the use of maximum energy from ren MoreBackground and Objective: The objective of this study is to evaluate and design a zero energy building in cold and dry climates. In this study, energy consumption will be reduced by using of the solar-powered systems and techniques for the use of maximum energy from renewable sources. Method: A residential building is evaluated as a case study. This building includes one floor with an area of 100 square meters with 4 people in cold and dry climate of Mashhad in the north east of Iran. For thermal simulation, weather information (temperature, air, sunshine, wind, rain, and sunlight) is obtained from the weather station and climate database and the Meteonorm software. Design Builder software is used to simulate and analyze the dynamic heat of the structure. Findings: The results of this simulation show that 30% of the annual energy consumption of the building, taking into account the principles of inactive design (optimal selection, wall truss, shade, appropriate fitting) will be reduced from 2544.3 KWh to 1776 KWh. Subsequently, with the annual energy requirement, PVSyst software is designed to design a photovoltaic solar system with an annual energy of 2629.1 KWh. Discussion and Conclusion: The comparative comparison of equation values by applying a 1.4 coefficient of confidence indicates that construction of zero-energy building is possible in a cold and dry climate and is created to achieve sustainable and environmentally sustainable. Manuscript profile -
Open Access Article
3 - Management of Energy Consumption in Residential and Commercial Sector Relying on Domestic Gross Production by Information Technology and Regression Models
Mohammad Ali Abbaspour Alireza Haj Mulla kaniOne of the main problems and challenges facing the managers and decision makers of energy sector in consumption management area is known as the lack of accurate information and statistics in an appropriate model for simulating and predicting the demand trend. In most MoreOne of the main problems and challenges facing the managers and decision makers of energy sector in consumption management area is known as the lack of accurate information and statistics in an appropriate model for simulating and predicting the demand trend. In most cases, mental and trial-and- error methods have been witnessed to be employed for decision making processes. In cases where an appropriate model has the ability to solve the mentioned challenge, but failing to update the information and statistics used in the model can cause a new challenge which may finally results in delaying the decision making process. This paper attempts to introduce and employ a combination of regression models and IT to solve the above two challenges simultaneously and facilitate decision making process for energy consumption management in residential and commercial sectors. This can lead to a better decision making process for acceptable energy saving policy and management and cost reduction of its operation. With no doubt, this will help to reduce the GHG emissions and lead to a better environment. Manuscript profile -
Open Access Article
4 - Designing a native pattern in arid climate to reduce energy consumption in housing sector (Case study: Yazd)
shokoufeh avazalipour haqiqatparast Yazdan Taghizadeh Hossein zabihiBackground and Objective: Due to the growth of population and consequently the crisis caused by increase of energy demand, management of energy consumption has become inseparable from the issue of sustainability. Therefore, in this study, with a special emphasis on the MoreBackground and Objective: Due to the growth of population and consequently the crisis caused by increase of energy demand, management of energy consumption has become inseparable from the issue of sustainability. Therefore, in this study, with a special emphasis on the importance of energy saving, optimization of energy consumption in housing sector are discussed through the contemporary native pattern designing in hot and dry regions. Method: Hence, the required information was collected by investigating the energy consumption in this sector through different patterns and designing the energy-efficient patterns to achieve this important issue. Findings: Due to the fact that the study was done on a case studies in Yazd city, the designing style of the buildings such as (direction of the thickness of the walls, height of the inner structures, etc.) and the elements used (porches, plants, wind, etc.), which have a direct effect on energy efficiency, are studied. Discussion and Conclusion: According to the results, the pattern of vernacular architecture and modern residential patterns for reducing energy consumption led to similar outcomes by implying that the proposed method can be efficient in reducing the energy consumption Manuscript profile -
Open Access Article
5 - Evaluating Implementation of Energy Management Optimization in Household and Commercial Sectors of Metropolises Using SWOT (Case Study: Tehran Metropolis)
Samira khadivi Majid Abbaspour Abdol Reza KarbassiBackground and Objective: High energy consumption in residential and commercial sectors resulting from the lack of optimized management of the mentioned sectors imposes adverse effects in terms of economics, health and environment on a community. One of the ways to opti MoreBackground and Objective: High energy consumption in residential and commercial sectors resulting from the lack of optimized management of the mentioned sectors imposes adverse effects in terms of economics, health and environment on a community. One of the ways to optimize energy consumption is proper management. In order to prevent uncontrolled growth of energy consumption and maintain national energy resources is energy management in residential and commercial sectors in metropolises. Therefore, the development of implementation mechanisms in this sectors requires special attention. Method: After analyzing the results of energy consumption in Tehran and in the country, a total number of 96 questionnaires were prepared and distributed among the relevant experts to determine the strengths, weaknesses, opportunities and threats associated eith energy consumption in the household and commercial sectors. Subsequently, all the strategic factors were evaluated. The IFE and EFE matrices were used to evaluate the internal and external strategic factors. The total values of the IFE and EFE matrices were obtained to be 2.85 and 2.88, respectively. The mentioned matrices suggest that the metropolitan cities of Iran suffer from some internal weaknesses. This indicates that the weaknesses are more than the strength points. In terms of the external factors, the metropolitan cities in Iran are involved in managerial weaknesses so that the opportunities are less than the threats. Results: Codification of energy consumption strategies and patterns in metropolitan cities are considered as key factors in reducing energy consumption in the country. Given the high potential for savings, the household and commercial sectors should always be considered in terms of energy consumption management and optimization. In the next steps, the executive instructions concerning the five key strategies were presented to achieve the pattern of energy consumption in household and commercial sectors of metropolitan cities (Tehran) in Iran. Afterwards, a checklist was prepared to investigate the status of management execution and the strategy of energy consumption modification pattern in the household and commercial sectors of the metropolitan cities. Manuscript profile -
Open Access Article
6 - Investigating the effect of Atrium-related Green Roof Cooling and Heating loads on Energy Management in Pedagogical Spaces in Cold Climate
Kaveh Shokoohi Dehkordi Maryam FarhadianBackground and Objective: Educational spaces in Iran, with a student population of about 12 million people and lowgradedness of 75% of schools in terms of energy management, are one of the most energy wasting applications. Adding to this is the developing student popula MoreBackground and Objective: Educational spaces in Iran, with a student population of about 12 million people and lowgradedness of 75% of schools in terms of energy management, are one of the most energy wasting applications. Adding to this is the developing student population and non-renewable energy reserves which are under distruction. Therefore, it is essential to bind to modern proposals for the use of renewable energy sources as alternatives for designing educational spaces in Iran to step towards further development of this application. In this study, in line with the introduction of green architecture as a renewable source of energy, the green schools model covered with a green roof in connection with atrium has been presented. Moreover, the impact of atrium-related green roof cooling and heating loads on energy management in pedagogical spaces in Sharekors as one of the cold climate regions of Iran has been investigated. Method: In the present study, which is descriptive-analytic, suggested a synthetic model of atrium- related green roof has been suggested as a strategy for energy saving in pedagogical. For studying the heating load in summer and cooling load in winter, three classrooms in Shahrekord as an example of cold climate region in Iran were simulated by Carrier Hap software (Hourly Analysis Program, one of the most modern softwares for heat transfer analysis whose results of are accepted by the U.S Green Building Council or LEED). Findings: The results of this project showed the advantage of using green roofs for improvement of heating load in the winter and cooling load in summer in the classes with atrium-related green roofs over the classes with 40-cm and 66-cm conventional roofs . Manuscript profile -
Open Access Article
7 - Preparing Heating Atlas of Iran Entire Zones By Degree- Day Method to Prepare Energy Consumption Scale
mehdi Mehrabi abdolrazagh Kaabi-Nejadian morteza Khalaji AsadiConsidering fossil fuels depletion and increasing of energy demand in Iran, a special attention is requiredtoward the energy conservation. Energy demand of building section in Iran is very high, which is as a resultof many factors such as governmental huge sub MoreConsidering fossil fuels depletion and increasing of energy demand in Iran, a special attention is requiredtoward the energy conservation. Energy demand of building section in Iran is very high, which is as a resultof many factors such as governmental huge subsidies for energy, lack of energy conservation culture inbuilding inhabitants, poor insulation of buildings and poor heating or cooling control systems.Most of buildings heating control systems in Iran do not respond properly to weather temperature changes during winters, therefore most of the time the interior temperature of these buildings exceed the comfort temperature, thus these buildings are not energy efficient and consume excessive amount of energy. The most important index to identify these buildings across the country is to know HDDs for each point of the country.Unfortunately, up to now no comprehensive research has been conducted in Iran about HDDs, and thus no HDDs atlas has been provided, therefore it is essential for energy managers, engineers and in particular for the government to be supplied with HDDs for each point of Iran. By taking this fact into account, we decided to prepare a comprehensive HDDs atlas for Iran entire zones.In this paper authorized temperature databases of 255 meteorological stations in 30 provinces of Iran havebeen collected from Iran meteorological organization, thereafter, by processing the temperature databases, theannually HDDs for each station were calculated, then a mathematical modeling (multiple regression analysis technique) was employed in order to simulate the HDDs of other places in Iran. Consequently, a HDDs Atlas across Iran entire zones was provided.As a result of this work, by providing a HDDs atlas, the government would be capable of pointing out buildings that consider energy conservation standard scales with proper heating control systems and continue to support them with subsidies, if not they can warn them to reform their energy consumption methods, this policy enhances the government abilities to manage the rate of energy consumption in buildings. Furthermore, energy managers and engineers will be provided with a standard index to calculate annual energy requirement of each building by considering energy conservation aims. Manuscript profile -
Open Access Article
8 - The role of Energy Building Management system(EBMS) in optimization of energy consumption in the building
sanaz Ghazi Azam NaderiEnergy Building Management System (EBMS) creates ideal situation due to energy efficiency of thebuildings with consideration of the latest technologies.Although limitation of energy sources is one of the critical problems in human life, urbanization inunsuitab MoreEnergy Building Management System (EBMS) creates ideal situation due to energy efficiency of thebuildings with consideration of the latest technologies.Although limitation of energy sources is one of the critical problems in human life, urbanization inunsuitable locations is other factor for energy wasting in the buildings. Consequently, consideration of a Seri ofchanges in heating and cooling systems of the buildings could be prevented of energy wasting in differentparts of the buildings. Design of intelligence energy management system and application of renewableenergies such as solar and wind could be minimized energy consumption. In this paper, samples of designand installation of intelligence management system.in the country were surveyed and with comparison ofthese studies, some suggestions were presented. Manuscript profile -
Open Access Article
9 - An Auction-based Cluster Head Selection Approach for Real Wireless Sensor Networks
Sepideh Adabi Nazanin Hamzejunushi Sahar Adabi -
Open Access Article
10 - Energy Management and Operational Planning of Networked Microgrids in a Stochastic Environment
Gilda Hosseini Seysed Babak Mozafari Soodabeh SoleymaniThis article introduces a two-stage linear model designed for the coordination of networked microgrids, aimed at optimizing energy management and enhancing profitability through proactive and corrective strategies. Initially, the first stage involves day-ahead hourly pl MoreThis article introduces a two-stage linear model designed for the coordination of networked microgrids, aimed at optimizing energy management and enhancing profitability through proactive and corrective strategies. Initially, the first stage involves day-ahead hourly planning for microgrids, executed in a deterministic environment without accounting for uncertainties. Subsequently, the second stage addresses these uncertainties in real-time network operation through a stochastic programming approach. The model's objective function quantifies and incorporates the variations resulting from both the proactive and corrective phases. To handle uncertainties in wind and solar energy production as well as load demand, probability distribution functions derived from Monte Carlo simulations are utilized. From these, representative scenarios are chosen using a scenario reduction technique. Specifically, the K-means algorithm is employed for scenario clustering, with the Davies-Bouldin (DB) index facilitating automatic clustering. Additionally, load management is conducted via a demand response program. The proposed model stipulates that, within microgrids, only non-critical load levels can be modulated based on the network's economic benefit. This optimization model, formulated as mixed integer programming, is simulated and resolved in the GAMS software environment. The primary goal of this two-stage model is to achieve optimal energy management by balancing economic efficiency with robust network performance. The results obtained validate the model's effectiveness. Manuscript profile -
Open Access Article
11 - A Risk-Averse Energy Management in Micro-grids on Information Gap Decision Theory Using the Genetic Algorithm
Abdolreza Sadighmanesh sarang ezazi -
Open Access Article
12 - Modeling and Control Electric and Heating Sources in a Building Using MPC
Rasoul Moradimehr Esmaeil Alibeiki Seyyed Mostafa Ghadami -
Open Access Article
13 - Energy Consumption Control with Zero Energy Approach for a Building Model
Rasoul Moradimehr Esmaeil Alibeiki Seyyed Mostafa GhadamiAbstract - Based on the study of the theoretical foundations of the research, it is determined that so far there is no detailed study on heating and cooling energy related to zero-energy buildings in the recent research based on energy waste in buildings. Therefore, in MoreAbstract - Based on the study of the theoretical foundations of the research, it is determined that so far there is no detailed study on heating and cooling energy related to zero-energy buildings in the recent research based on energy waste in buildings. Therefore, in this article, by simulating commercial buildings and simulating the correct materials and strategies in the heating and cooling system, as well as investigating the insulation of buildings, we will study the effect of zero-energy building materials on energy wastage to model the temperature variations in building and control to achieve desire value. This article, taking into account the effects of heat transfer through building walls, the energy consumption model, and by genetic algorithm model predictive control (MPC) method optimizes the indoor temperature of the building. For this purpose, the genetic algorithm is used to determine the best control input in the form of building heating. The simulation of this process has been done in MATLAB software and the method of modeling heat loss and temperature change outputs shows that the proposed method has a good performance. The maximum of overshoot of the temperature is %4 and the cost function of GA algorithm is 165 based of minimum control effort and temperature error. Manuscript profile -
Open Access Article
14 - Bi-Level Energy Management Optimization in Multi-Area Smart Grids
Mohammad Ali Hormozi Bahman Bahmani Firoozi Taher NiknamOptimal energy management in multi area smart grids will increase social welfare, reduce economic costs and environmental pollution. Power management solutions for smart grids include issues such as economical distribution of load, suitable load management, optimized ch MoreOptimal energy management in multi area smart grids will increase social welfare, reduce economic costs and environmental pollution. Power management solutions for smart grids include issues such as economical distribution of load, suitable load management, optimized charging and discharging of energy storages, and the availability of renewable resources considering limitation of power exchange in different area, all of which are issues in an intelligent grid, that in this paper has been considered. This paper presents a bi-level mixed integer quadratic programming (MIQP) model for energy management in multi-are smart grids with the aim of reducing economic costs and environmental pollution and increasing social welfare by considering energy storage systems, load management and Renewable resources are presented. In this paper presents a bi-level approach that the upper level is formulated to minimization economic cost and pollution of resource and lower level is presented to maximization social welfare in the form of Karush–Kuhn–Tucker (KKT) conditions. The simulation is implemented in MATLAB with Gurobi solver that the results show that the proposed bi-level model is also an efficient way to optimize energy in multi-area smart grids compared to Pareto front and Weight methods. Manuscript profile -
Open Access Article
15 - Techno-Economic and Environmental Base Approach for Optimal Energy Management of Microgrids Using Crow Search Algorithm
Sajad Gorji Saeed Zamanian Majid MoazzamiBy incremental deployment of renewable energy sources on microgrid frameworks, new technical and economic issues have emerged in the power system industry. The optimal operation of microgrids in the presence of intermittent renewable sources has been counted as a new ch MoreBy incremental deployment of renewable energy sources on microgrid frameworks, new technical and economic issues have emerged in the power system industry. The optimal operation of microgrids in the presence of intermittent renewable sources has been counted as a new challenge within the last decade. Microgrids are off-grid or grid-connected power systems on a very small scale encompassing different types of distributed generation sources and local loads. Generally, in isolated microgrids, the demanded energy of consumers is maintained by hybrid models of internal energy sources. The principal purpose of hybrid systems is to supply the electrical power demanded by consumers instantaneously as well as storing surplus energy for critical conditions. In this paper, a techno-economic and environmental base approach for optimal energy management of microgrids using crow search algorithm is presented. Under study microgrid include renewable energy resources, battery and diesel generator as backup power generator. Annual cost and the released emission are considered as the objective function of the proposed method. The crow search algorithm calculates power dispatch scheduling among generation units. Simulation results of the proposed method show the appropriate configuration of the hybrid system that lead to decrease the annual cost of the system and the released emission. Manuscript profile -
Open Access Article
16 - Management and Control of Microgrid Connected to a Three-Phase Network with the Approach of Activating Current Limitation Under Unbalanced Errors Using the Fuzzy Intelligent Method with the Presence of Battery, wind, Photovoltaic and Diesel Sources
Mostafa Abbasi Mehdi Nafar Mohsen SimabToday, the use of distributed generation resources connected to the network has remarkable growth therefore network-connected to the converters must be able to provide services beyond the injection of power into network, including maintaining network stability. In this MoreToday, the use of distributed generation resources connected to the network has remarkable growth therefore network-connected to the converters must be able to provide services beyond the injection of power into network, including maintaining network stability. In this paper the control and management of energy for battery wind, photovoltaic and diesel connected to a three-phase network by activating the current limitation under unbalanced fault has been introduced. In this method injected currents are limited to a certain amount along the faults Also, the operation mode without tracking the maximum power point for the converter is included. This state is activated during severe faults, when the converter cannot control Maximum power of the system. Therefore, in a microgrid with, the operation of a fuzzy logic-based controller the transformation operation of DC to DC converter control is performed sparsely by two-way battery and distributed generation resources management. Also proportional resonance controller is used due to its proper performance. In fact, with the use of reference current generation, sinusoidal current with a total harmonic distortion (THD) value of less than 5% is injected. The results show that the control strategy along with energy management with multiple energy generation resources is able to limit and maintain DC link voltage within an acceptable range in addition to The existence of an asymmetric fault. Therefore, the fault crossing operation has been performed correctly without the operation of the protection relays and secondly in comparison with microgridsolely with the presence of one photovoltaic production source the process of injecting active and reactive power in the upstream network is more appropriate. Manuscript profile -
Open Access Article
17 - Technical and Economic Management of Energy Distribution to Reduce Charging Costs and Reduction
Meysam Saeedirad Esmaeel Rokrok Mahmoud JoorabianProper management of electrical energy in the electricity distribution network is one of the main issues of network operation that high impact of reducing operating costs, reducing network losses, increasing the quality of updates, increasing customer satisfaction and e MoreProper management of electrical energy in the electricity distribution network is one of the main issues of network operation that high impact of reducing operating costs, reducing network losses, increasing the quality of updates, increasing customer satisfaction and etc. can have achieving these goals is possible when the elements of the distribution network act in coordination and awareness of each other. This paper considers this awareness among home subscribers, car charging parking lots and the network operating company has been taken and its benefits have been explored. A two-stage model of energy management in the distribution network is presented. The first stage is related to home energy management in the presence or absence of a load response program, taking into account tastes. Subscribers' personalization is done to bring the results closer to the real world then based on the information sent from these subscribers and determining the residential load profile of the network, electric car charging parking operators to manage according to their limitations electric vehicle to improve both charging costs and network operation parameters. Unlike traditional charging methods, in this method does not require a full charge of car batteries and only the final limit of the battery charge level in terms of energy required for drivers' future trips will be determined, and charging operations will be performed using the discrete charge rate. The results of a review of various case studies applied to a 37-bus distribution network shows that the proposed method has a high capability. In providing customer satisfaction, improving network operation parameters and reducing charging costs and meeting the needs of car drivers will had. This method can pave the way for expanding the level of vehicle penetration in distribution networks and the benefits of the load response program and smart charging maximizes productivity. Manuscript profile -
Open Access Article
18 - Implementation of Smart Fuzzy Logic Strategy to Manage Energy Resources of a Residential Power System Integrating Solar Energy and Storage System Using Arduino Boards
Mehdi Zangeneh Ebrahim Aghajari Mehdi ForouzanfarWith increasing environmental concerns and reducing fossil fuels, the significance of producing electricity via renewable energy resources and replacing it with conventional fuels is increasing day by day. At the same time, the dependency of renewable energies on enviro MoreWith increasing environmental concerns and reducing fossil fuels, the significance of producing electricity via renewable energy resources and replacing it with conventional fuels is increasing day by day. At the same time, the dependency of renewable energies on environmental conditions makes it challenging. One of these challenges has been managing the energy resources of the hybrid power system. Hence, in this research, a fuzzy intelligent controller has been designed and implemented to manage the energy resources of a grid-tied hybrid power system including solar energy and battery storage in laboratory dimensions. In the present study, by using the Arduino board as an energy management unit in the hybrid power system, tried to provide a basis for the use of renewable energy resources in real dimensions and mass production. The mathematical modeling of the system's equipment is presented and the hybrid power system is simulated using MATLAB software. Moreover, the ability of real-time data monitoring has also been added to the system. Eventually, the capabilities of the proposed smart fuzzy logic controller have been assessed by applying a usual day in springtime. The outcomes indicate that the suggested hybrid power system and the controller can save energy about 60 percent. Manuscript profile -
Open Access Article
19 - Distribution Systems Energy Management in the presence of Smart Homes, Renewable Energy Resources and Demand Response Programs by Considering Uncertainties
Seyed Alireza Alavimatin Pouria Radmehr Amir Ahmarinejad Seyed Amir MansouriIn this paper, a comprehensive energy management model is proposed in order to the operation of a ‎modified 33-radial bus distribution system, in the presence of smart homes. In the proposed model, ‎smart home customers are able to participate in a demand respon MoreIn this paper, a comprehensive energy management model is proposed in order to the operation of a ‎modified 33-radial bus distribution system, in the presence of smart homes. In the proposed model, ‎smart home customers are able to participate in a demand response (DR) program and their comfort ‎index is also considered as the main constraint. The model also considers uncertainties related to the ‎load demand, the generation of renewable energy resources and electricity price. The Monte Carlo ‎simulation method and the ScenRed tool are utilized to generate and reduce the scenarios, respectively. ‎In order to mimic the actual operating conditions, in the simulation, the seasonal variations of load ‎and generation are considered and the operation problem is solved for four seasons.‎‏ ‏A linear AC ‎power flow is also used in the model. Finally, the problem is modeled as a mixed-integer linear ‎programming (MILP) problem and solved by the CPLEX solver in GAMS software. The simulation ‎results demonstrate that the model proposed in this study is a comprehensive framework for the ‎operation of distribution systems in the presence of smart homes, which not only reduces operating ‎costs but also increases the consumers’ comfort index.‎ Manuscript profile -
Open Access Article
20 - Dual-Objectives Energy and Load Management for an Energy Hub by Considering Diverse Plannings and in the Presence of CCUS Technology and the TOU Program
Fardin Niazvand Saeed Kharrati Farshad Khosravi Abdollah RastgouThis paper presents energy and load management by using a scenario-based assessment strategy for the optimal scheduling of a proposed hub by considering uncertain parameters (electricity price and wind turbine output power). Carbon capture utilization and storage (CCUS) MoreThis paper presents energy and load management by using a scenario-based assessment strategy for the optimal scheduling of a proposed hub by considering uncertain parameters (electricity price and wind turbine output power). Carbon capture utilization and storage (CCUS) technology and demand response programs (DRP), especially the time of use (TOU) program are investigated. Carbon technology helps to overcome pollution issues, on the one hand, and earn revenue for the power system, on the other hand. Also, the demand response programs help to reduce costs and pollution, make the load curve flatter, increase the reliability and power quality of the network. The proposed energy hub consists of various renewable and non-renewable distributed energy resources, as well different planning horizons, include deterministic and robust ones. The presented hub consists of diverse energy sectors like electricity, heat, cooling, gas, and water at the input and output sections. The problem is then modeled as a MILP and solved using the CPLEX solver in GAMS software. Epsilon constraint method with the fuzzy satisfying approach is used to obtain and select the best solution. The final results show that the cost and the pollution in the robust planning experience the increment by about 12.3% and 1.9% respectively in comparison to deterministic, as well, demand response programs and CCUS technology are had a significant impact on the objective functions. In addition, the load curve has become flatter and the reward by using a carbon system is obtained for the hub. Manuscript profile -
Open Access Article
21 - Design and Implementation of a Local Blockchain-based Peer-to-Peer Energy Exchange Platform
Mohammad Reza Jabbarpour Alimohammad SaghiriIn recent years, attention to renewable energy and distributed generation has increased due to increased energy demand and environmental pollution. To this end, in the new power grid structure, consumers can also play a producer role. Considering that the number of pros MoreIn recent years, attention to renewable energy and distributed generation has increased due to increased energy demand and environmental pollution. To this end, in the new power grid structure, consumers can also play a producer role. Considering that the number of prosumers in this structure is much more than traditional power networks, the need for a secure, transparent, fast, scalable platform for energy exchanges has greatly increased. Blockchain technology can provide such a platform due to its unique properties. Although there are many blockchain-based platforms in different countries in enregy field, but in Iran there is no such platform. Therefore, the main purpose of this paper is to design and implement a local pilot platform for peer-to-peer blockchain-based energy exchange, taking into account the specific conditions of Iran's electricity grid. The macro platform architecture is designed based on the concept of Minimum Viable Product (MVP) considering functional and non-functional requirements in the form of unified modeling language (UML) diagrams. The proposed platform pilot has been implemented in the form of 4 main elements including smart contract, user interface, blockchain platform, and blockchain and non-blockchain databases and has been evaluated and tested using different scenarios. These tests mainly include the unit test and the integrity test, which were successfully performed on the platform. This platform has been designed and implemented for the first time in Iran in accordance with the Ethereum protocol and based on microservice architecture. In addition to the ability to integrate with Ethereum-based systems, this platform is scalable due to its modular design. Manuscript profile -
Open Access Article
22 - Economic Design of Renewable Hybrid System Based on Hydrogen and Thermal Storages Considering Electrical and Thermal Energy Management
Reza Sepahvand Akbar Asgharzadeh bonabThis paper presents the optimal planning of renewable hybrid systems including wind turbines and bio-waste energy units according to hydrogen and thermal storages considering feeding of electrical and thermal energies. Bio-waste unit is based on the operation of the com MoreThis paper presents the optimal planning of renewable hybrid systems including wind turbines and bio-waste energy units according to hydrogen and thermal storages considering feeding of electrical and thermal energies. Bio-waste unit is based on the operation of the combined power and heat system, which produces electrical and thermal energy at the same time. Hydrogen storage is hybrid of an electrolyze, hydrogen tank, and fuel cell. The proposed scheme minimizes the total annual investment and maintenance costs. It is subject to the operation model of the mentioned elements. In the operation model of sources and storage, renewable sources supply loads of energy, then storage uses to cover the gap between the load and renewable power profiles. This paper uses the hybrid solver of the Gray wolf optimizer and the sine-cosine algorithm to obtain a reliable optimal solution with a low standard deviation in the final response. Finally, based on numerical results according to Espoo in Finland data, the proposed scheme's capability is confirmed in the Economic extraction of a 100% renewable island hybrid system suitable for simultaneous supply of electrical and thermal energy. Manuscript profile -
Open Access Article
23 - An Improved Particle Swarm Optimization Algorithm for Energy Management in Distribution Grid Considering Distributed Generators
Hossein Lotfi Reza Ghazi Mohammad Bagher Naghibi Sistani -
Open Access Article
24 - Robust Participation of Energy Production Companies in the Coupled Gas and Electricity Market Based on Energy Management Strategy
Ali Asghar Baziar Taher Niknam Mohsen Simab -
Open Access Article
25 - Coordinated Control and Energy Management of Distributed Generation Inverter Using Robust Control in Microgrid
Amin Mavali Ali Naderi Saatlo -
Open Access Article
26 - Two-stage Framework for Microgrids Energy Management Considering Demand Response Program and Compressed Air Energy Storages under Uncertainties
Alireza Azarhooshang Sasan Pirouzi Mojtaba Ghadamyari -
Open Access Article
27 - Optimal Economic Operation and Battery Sizing for Microgrid Energy Management Systems Considering Demand Response
Mehdi Mohammadjafari Reza Ebrahimi Vahid Parvin Darabad -
Open Access Article
28 - Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm
Farhad Nourozi Navid Ghardash khaniThe household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model MoreThe household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment. Manuscript profile -
Open Access Article
29 - A New Real-Time Pricing Scheme Considering Smart Building Energy Management System
Mohammad-Hossein Shariatkhah Mahmoud-Reza Haghifam Mohammad-Kazem Sheikh-El-Eslami -
Open Access Article
30 - Designing Decision Maker in a Smart Home for Energy Consumption Optimization Using Fuzzy Modeling
Maryam Sadat Mahdaviyani Mehrdad Javadi -
Open Access Article
31 - Robustness Energy Management Module Design for Smart Homes concerning Operation Uncertainty of PVs and WTs Resources
Fatemeh Mohammadi Faramarz Faghihi Ahad Kazemi Amirhossein Salemi
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