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The primary aim of this study is to provide actionable guidance for augmenting profitability in photovoltaic power plant investments within Iran’s solar energy sector. By emphasizing prudent capital management and strategic investment decisions, our research seeks to assist emerging businesses in attaining sustained success in this domain.

This study presents a comprehensive approach to refined decision-making in Iran’s solar energy sector. Our methodology integrates the best-worst method, ArcGIS software for site selection, and the TOPSIS method for decision-making, aiming to enhance precision and reliability.

Our research has identified ten promising regions suitable for photovoltaic power plant installations in Iran. Leveraging the TOPSIS method, we have made optimal selections among these alternatives. Furthermore, our exhaustive cost analysis, incorporating factors like land prices, system maintenance, revenue estimation, and various financial scenarios, has yielded insights into project cost-effectiveness.

By filling a notable gap in the literature regarding optimal site selection and investment strategies for photovoltaic power plants in Iran, our research contributes to the sustainable development of solar energy infrastructure. Through a thorough literature review and the development of a novel methodology, we offer valuable guidance for businesses and investors seeking success in Iran’s solar energy sector. Our study represents a significant advancement by introducing a novel methodology that integrates the best-worst method, ArcGIS software, and the TOPSIS method for site selection and investment analysis. These findings furnish valuable guidance for businesses seeking success in the solar energy sector, thereby contributing to the sustainable development of renewable energy infrastructure in Iran and beyond.

The purpose of this study is to model the global dynamic hysteresis properties with an improved Jiles–Atherton (J-A) model through a unified set of parameters.

First, the waveform scaling parameters β, λ_k and λ_c are used to improve the calculation accuracy of hysteresis loops at low magnetic flux density. Second, the Riemann–Liouville (R-L) type fractional derivatives technique is applied to modified static inverse J-A model to compute the dynamic magnetic field considering the skin effect in wideband frequency magnetization conditions.

The proposed model is identified and verified by modeling the hysteresis loops whose maximum magnetic flux densities vary from 0.3 to 1.4 T up to 800 Hz using B30P105 electrical steel. Compared with the conventional J-A model, the global simulation ability of the proposed dynamic model is much improved.

Accurate modeling of the hysteresis properties of electrical steels is essential for analyzing the loss behavior of electrical equipment in finite element analysis (FEA). Nevertheless, the existing inverse Jiles–Atherton (J-A) model can only guarantee the simulation accuracy with higher magnetic flux densities, which cannot guarantee the analysis requirements of considering both low magnetic flux density and high magnetic flux density in FEA. This paper modifies the dynamic J-A model by introducing waveform scaling parameters and the R-L fractional derivative to improve the hysteresis loops’ simulation accuracy from low to high magnetic flux densities with the same set of parameters in a wide frequency range.

This paper explores the relevant fire code requirements and outlines the development of an evaluation tool based on these codes to evaluate fire safety measures in dining properties.

Existing literature was examined to identify the combustible materials, fire causes and factors making these properties prone to fire incidents. An evaluation method, based on code regulations, for ensuring fire safety in dining properties was then developed and tested on a specific dining facility to validate its practicality.

Forty requirements, grouped into seven categories, were identified for ensuring fire safety in dining properties. The case study exposed multiple violations of fire safety, leading to corrective measures for enhancing the fire safety status of the building.

This study introduced a methodical approach for raising awareness, among property managers of dining properties, about fire incidences and their consequences. It presents an evaluation tool for assessing the compliance level with fire codes and standards.

Dining properties are facilities that offer both dine-in and take-out food services. Given the increasing number of fire incidents in dining properties worldwide, there is a substantial demand for a process to audit the adherence to fire safety codes in these properties. This study presents a systematic approach to increase public knowledge of fire events and their effects in dining properties.

Reliability study plays a significant role in supporting the operation of any machinery working in a dynamic and harsh environment. This quality is inherently uncertain and a stochastic variable of any system. This study will be beneficial for designing an appropriate maintenance schedule, reducing unplanned production downtime and reducing maintenance cost of electrical motor operated particularly in dynamic and harsh environmental industries.

This study focused on the effects of operating conditions (OCs) on the operational reliability and remaining useful life (RUL) of machinery. A probabilistic graphical method called Bayesian network (BN) was used for studying the effect of OCs on the system performance. The developed methodology has been demonstrated by analyzing the operational reliability and predicting the RUL of electrical motors operated in a heavy mining machinery.

The failure probabilities estimated from the historical data of the motor system are failure likelihood, and OCs are the evidence in the developed BN model. It has been observed that the performance and RUL of the motor are significantly influenced by OCs and maintenance. A threshold value of reliability at which the motor system requires maintenance or replacement has been proposed to guide management in decision making.

The Bayesian approach for studying the covariate of motor reliability and RUL estimation is a novel approach. This study will be beneficial for designing an appropriate maintenance schedule, reducing unplanned production downtime and reducing maintenance cost of electrical motor operated particularly in dynamic and harsh environmental industries.

On January 1, 2022, the Regional Comprehensive Economic Partnership (RCEP) officially came into force. It was implemented in six ASEAN countries and four non-ASEAN countries (China, Japan, New Zealand, and Australia) as the world's largest free trade agreement (FTA) and the first direct free trade area agreement between China and Japan, indicating that the agreement to develop China–Japan FTA relations has borne brand new results. It will be the first time China signs an FTA with the world's top 10 economies. In the context of global de-internationalization, unilateralism, and trade protectionism, as well as the adoption and implementation of various restrictions on international trade by some countries to strengthen their capacity to protect the market economy, the RCEP is an important activity for the major economies in the Asian region to actively seek change in the face of the crisis. Under the RCEP, China and Japan have reached agreements on bilateral trade in commodities, trade in services, and rules of origin, all of which will jointly promote trade between China and Japan. Analyzing the current trade situation between China and Japan, this chapter discusses the impact that the entry into force of the RCEP may have on bilateral trade between China and Japan. Moreover, this chapter provides suggestions for further developing Sino–Japan trade for reference.

The spatial concentration of the manufacturing employment and production is the general feature in all the economy. Indian economy is not an exception from this scenario. The spatial pattern of Indian manufacturing sector reports a significant regional disparity. Since manufacturing is becoming more vital in the Indian economy, it is essential to understand the spatial distribution of the manufacturing sector. This chapter provides a detailed picture of India’s spatial distribution pattern in formal and informal manufacturing sectors. Using the well-known Ellison–Glaeser index, we measure the industrial agglomeration for all National Industry Classification (NIC) three-digit industries and further incorporate statewise manufacturing activity distribution. From the analysis, it is evident that there is a substantial regional concentration of manufacturing activity; however, the recent regional distribution pattern also depicts some signs of industrial dispersion.

The purpose of this study was to synthesize composite nanoparticles (TiO₂@SiO₂) via the chemical deposition method and investigate their efficacy as additives in polytetrafluoroethylene (PTFE) lubricating grease. The focus was on examining the frictional and conductive properties of the TiO₂@SiO₂ grease using a friction tester.

Composite nanoparticles (TiO₂@SiO₂) were synthesized using the chemical deposition method and incorporated into PTFE grease. Frictional and conductive properties were evaluated using a friction tester. Surface morphology and chemical composition of wear tracks were analyzed using scanning electron microscope and X-ray photoelectron spectroscopy, respectively.

Incorporating TiO₂@SiO₂ at a mass fraction of 1 Wt.% led to a significant reduction in friction coefficient and wear width. The wear depth exhibited a remarkable decrease of 260%, while the contact resistance reached its peak value. This improvement in tribological properties could be attributed to the presence of TiO₂@SiO₂, where TiO₂ served as the core and SiO₂ as the shell during the friction process. The high hardness of the SiO₂ shell contributed to enhanced load-bearing capacity. In addition, the exceptional insulation properties of SiO₂ demonstrated excellent electron-capturing capabilities, resulting in improved friction and insulation performance of the TiO₂@SiO₂ lubricating grease.

This study demonstrates the potential of TiO₂@SiO₂ composite nanoparticles as additives in lubricating greases, offering improved friction and insulation performance. The findings provide insights into the design of advanced lubricating materials with enhanced tribological properties and insulation capacity, contributing to the development of more efficient and durable lubrication systems.

This study aims to solve the problem that both the speed and the required driving power of electric vehicles (EVs) will change during the dynamic wireless charging (DWC) process, making it difficult to charge EVs with a constant power considering the overall efficiency of DWC system, the numbers of EVs and the power supply capacity. Therefore, this paper proposes the power control and efficiency optimization strategies for multiple EVs.

The wireless power charging system for multiple loads with a structure of double-sided LCC compensation topology is established. The expressions of optimal transmission efficiency and optimal equivalent impedance are derived. Taking the Tesla Model 3 as an example, a method to determine the number of EVs allowed by one transmitter coil and the overall charging power is proposed considering EV speed, power supply capacity, safe braking distance and overall efficiency. Then, the power control strategy, which can adapt to the changes of EV speed and the efficiency optimization strategy under different numbers of EVs are proposed.

In this paper, a method to determine the numbers of EVs allowed by one transmitter coil and the overall charging power is proposed considering EVs speed, power supply capacity, safe braking distance and overall efficiency. The accuracy of the charging power is good enough and the overall efficiency reaches a maximum of 91.79% when the load resistance changes from 5Ω to 20Ω.

In this paper, the power control and efficiency optimization strategy of DWC system for multiple EVs are proposed. Specifically, a method of designing the number of EVs and charging power allowed by one transmitter coil considering the factors of EV speed, power supply capacity, safe braking distance and overall efficiency is designed. The overall efficiency of the experiment reaches a maximum of 91.79% after adopting the optimization strategy.

The purpose of this paper is to clarify the influence of low earth orbit space environment on the wear mechanism of TC4 alloy material and crank rocker mechanism.

In this study, friction experiments were carried out on TC4 alloy friction discs and crank rocker mechanisms, both before and after exposure to atomic oxygen and proton irradiation. Nanoindentation, grazing incidence X-ray diffraction (GIXRD), and X-ray photoelectron spectroscopy were employed to systematically characterize alterations in mechanical properties, surface phase, and chemical composition.

The results show that the wear mechanism of TC4 alloy friction disc is mainly adhesive wear in vacuum environment, while the wear mechanism of crank rocker mechanism includes not only adhesive wear but also abrasive wear. Atomic oxygen exposure leads to the formation of more oxides on the surface of TC4 alloy, which form abrasive particles during the friction process. Proton irradiation will lead to a decrease in fatigue performance and an increase in hardness on the surface of TC4 alloy, thus causing fatigue wear on the surface of TC4 alloy, and more furrows appear on the crank rocker mechanism after proton irradiation. In the three environments, the characteristics of abrasive wear of the crank rocker mechanism are more obvious than those of the TC4 alloy friction disc.

These results highlight the importance of understanding the subtle effects of atomic oxygen and proton irradiation on the wear behavior of TC4 alloy and provide some insights for optimizing its performance in space applications.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2024-0051/

This paper aims to investigate the e-waste aspect of sustainability in education, with a specific interest in engineering education. Specifically, it focuses on recycling through reclaiming electronic components from e-waste and reusing them in repairs or in the design and construction of new devices.

A systematic literature review is performed according to the PRISMA methodology. In total, 27 articles are analysed as to publication parameters, characteristics and evaluation of educational interventions on e-waste and evaluation results across major domains of learning (cognitive, affective and 21st century skills).

The reviewed subject is under-research; publications are rare and mostly in conference proceedings. The majority of interventions take place at university level, in face-to-face mode, using a practical approach in hands-on labs. Educational methods draw from modern, learner-centred pedagogies such as collaborative learning and constructionism. Topics focus on innovative design and construction, while interventions tend to become embedded in engineering curricula/courses. Evaluation of learners’ gains across domains of learning is rare and follows informal procedures that shake the reliability of results. Domains other than the cognitive are scarcely and subjectively evaluated.

Contrary to other aspects of sustainability, the aspect of e-waste has not been reviewed. The applied, hands-on approach and the analytic, synthetic, collaboration and creativity skills it requires are all much valued in education. The current review, therefore, comes to inform, inspire and guide educators and researchers in planning and implementing activities on this subject.