yaser ebazadeh

The use of electric vehicles (EVs) is increasing daily owing to the lack of fossil fuels on the one hand and the emission of pollution caused by the burning of fossil fuels. In this research, to produce fuel for EVs from renewable sources, a power grid with renewable energy sources such as wind turbines and photovoltaic cells was considered. After modeling, optimization was performed to supply the energy needed by EVs using wind turbines and photovoltaic cells, and the main purpose of this optimization was to reduce environmental pollution by providing maximum energy. One of the important results is the $1601941 investment cost of the wind turbine and photovoltaic cell system.

In recent years, distributed production as a source of local loads and continuous economic exploitation has gathered ‎attention. On this thread, this study focuses on distributed production using a photovoltaic package with batteries so ‎that the power drawn from the distributed generation system for injection into the global network or receiving it is ‎adjusted based on the battery charge status. The goal is to absorb the maximum power received from the photo-voltaic ‎system at any temperature and hypothetical radiation. If the battery charge is not optimal, part of this power is applied ‎to the battery for charging. By presenting a suitable structure, a photovoltaic system with a battery package is presented ‎as a distributed generation source with the design of appropriate controllers. The results showed that at any temperature ‎and radiation, the maximum power received from the photovoltaic system could be estimated. By controlling switching, ‎a converter, the required amount of energy can be obtained from the photovoltaic system. It can be concluded that such ‎a structure, as a desirable distributed generation source, is realized. With the proper design of the necessary controllers, ‎optimal management can be done for power management.‎

The present study deals with the energy analysis of a new design of the triple generation system of cooling, heating and solar power to supply energy for a hospital complex. The proposed system includes concentrator collectors of the linear Fresnel reflector type with a thermal photovoltaic absorber, which uses solar energy to generate electrical and thermal energy, respectively, for sale to the grid and providing part of the energy for cooling and heating cycles. The proposed cooling system in this structure is a single-effect lithium bromide-water absorption chiller. The gas-burner support heating structure is intended to meet a part of the energy needs of the cooling and heating system non-satisfied by the solar cycle. The system analysis under the thermal load of a hospital complex has been performed annually. The results show that 30% of the system's annual energy is supplied by the solar cycle. In addition, the proposed structure also generates 77.7 MWH of electrical energy. The studied system provides all its energy needs from solar energy on the hottest day from 9:00 to 15:00. The proposed collector has a better performance than the thermal photovoltaic collector without concentrator and the thermal concentrator collector.

With the rapid growth of the IoT, the number of devices connected to various networks has significantly increased. These devices generate vast amounts of data and are often deployed in open and unsecured environments, making them vulnerable to cyber-attacks. Therefore, ensuring the security of IoT networks has become a primary concern for researchers. One of the most effective methods for maintaining network security is using IDS. Intrusion detection monitors and analyzes incoming data to detect suspicious activities and potential attacks. Given the resource constraints of IoT devices and the complexity of the networks, improving the accuracy and efficiency of IDS is crucial. The primary goal of this research is to present a novel and optimized IDS for IoT networks. A hybrid feature selection method has been employed to enhance accuracy and reduce computational complexity, combining correlation-based filtering and wrapper methods using the (HHO) algorithm. In this approach, unnecessary features are removed, and essential features for classification are selected. Simulation results indicate that this method has achieved a 96.46% accuracy, outperforming traditional methods such as DT and SVM while improving false positive and false negative rates.

In the present study, the aim is to model and optimize the photovoltaic/thermal system (PVT) to achieve the highest thermal and electrical efficiencies by considering the physical characteristics. To model the proposed system, the governing relations were derived by considering the desired variables. Then to use the modeling, the validation of the code was done with a valid source, for which the variables of cell surface temperature, a bottom surface, and output fluid were used. After validation, it was observed that the proposed model has good accuracy to achieve the desired goals. To achieve maximum output power by the cell, open circuit voltage and short circuit current for this system was calculated for one day that has the highest radiation intensity, for which the highest voltage and current are 9.3 V and 6.7 A, respectively. Then, after extraction of voltage and short circuit current for the studied cell, the amount of thermal and electrical efficiencies was determined to be 40% and 10%, respectively. In the next step of this research, optimization is performed to achieve the highest efficiency, which is 67% for this system.

The ever-increasing growth of the population and their concentration in cities has destructive and often catastrophic effects on natural habitats and human life and exposes cities to painful crises, including environmental and human destruction, which has caused humans to turn to technologies emerging to reduce environmental risks. Blockchain is a new and revolutionary technology in the world's management systems. The blockchain network allows individuals, governments, and organizations to implement any transaction securely on this network. With the Internet of Things expansion and the emergence of the Internet of Vehicles, green smart cities, and integration of these technologies with the blockchain network, human life quality has increased. However, new technical and environmental challenges have emerged by combining IoV applications with the blockchain network in expanding green smart cities. This article examines the concepts and advantages of the blockchain network, and then the applications of IoV in green smart cities are analyzed. Then the technical and environmental challenges of IoV are discussed, and finally, solutions for the environmental and technical challenges are presented.

Today, the use of mobile applications has flourished a lot. Many businesses have moved to application design to increase their relationship with customers. Iran has also made good progress in the field of application design. One of the areas that has recently been addressed in our country is the creation of applications in the field of tourism, hotels, museums and accommodation centers. The development of ecotourism as one of the most attractive types of tourism, in addition to economic, social and cultural consequences, can also have significant environmental effects. These effects will have many destructive consequences in human and natural environments and will cause environmental instability and ultimately instability of ecotourism if carelessness, lack of formulation and implementation of preventive measures in the form of strategies, standards and continuous evaluations. In this article, the design of a tourism app for zoo is considered, with features such as suggesting a route to visitor, providing images of different animals in the zoo, and offering various audio-visual services for users along with images and textual information.