Abstract:With the emergence of various technologies in renewable energy sources (RESs), consumers nowadays have led to multiple techniques for integrating various resources. An optimum energy flow management delivers an effective, reliable integrated renewable energy system (IRES) with higher efficiency. In this paper, an optimum model for the IRES is designed through the optimal sizing of system components for an estimated demand. Using integer linear programming, an energy management scheme has been developed based u… Show more
“…Furthermore, quantum technologies used in urban energy management are expected to cause the development of innovative approaches aimed at optimizing energy systems, taking into account environmental effects and operational limitations (Gomaa & Emam, 2023). By using quantum principles, these batteries can improve storage capacities way too beyond so called efficient and sustainable energy management principles (Sharma et al, 2023). All these developments play a vital role in bettering functioning and reliability of energy systems with special regard to urban environment (Uzodinma et al, 2023).…”
Abstract. Quantum sensing technologies provide future cities with unimaginable techniques for solving their complex problems. Quantum sensors, through the utilization of quantum effects such as superposition, entanglement, and tunneling, can provide an unmatched level of sensitivity, precision, and durability against traditional sensing technologies. This study explores the potential applications of quantum sensing in four critical urban infrastructure domains: water, energy, transport, and construction. Throughout this study, we determine the most promising quantum sensing technologies for each domain. Besides, we discuss the technical progress of these sensors and the advantages they have in comparison with classical devices, as well as the organizational issues cities can face when implementing these sensors. Our results indicate that quantum sensing will be a critical enabler of future smart cities, generating advanced monitoring, control, and decision-making capabilities across various sectors. Nevertheless, taking advantage of this potential will demand the close partnership of cities, industry, academia, and policymakers to guide the complicated adoption process.
“…Furthermore, quantum technologies used in urban energy management are expected to cause the development of innovative approaches aimed at optimizing energy systems, taking into account environmental effects and operational limitations (Gomaa & Emam, 2023). By using quantum principles, these batteries can improve storage capacities way too beyond so called efficient and sustainable energy management principles (Sharma et al, 2023). All these developments play a vital role in bettering functioning and reliability of energy systems with special regard to urban environment (Uzodinma et al, 2023).…”
Abstract. Quantum sensing technologies provide future cities with unimaginable techniques for solving their complex problems. Quantum sensors, through the utilization of quantum effects such as superposition, entanglement, and tunneling, can provide an unmatched level of sensitivity, precision, and durability against traditional sensing technologies. This study explores the potential applications of quantum sensing in four critical urban infrastructure domains: water, energy, transport, and construction. Throughout this study, we determine the most promising quantum sensing technologies for each domain. Besides, we discuss the technical progress of these sensors and the advantages they have in comparison with classical devices, as well as the organizational issues cities can face when implementing these sensors. Our results indicate that quantum sensing will be a critical enabler of future smart cities, generating advanced monitoring, control, and decision-making capabilities across various sectors. Nevertheless, taking advantage of this potential will demand the close partnership of cities, industry, academia, and policymakers to guide the complicated adoption process.
“…As a result of the increased consciousness of climate change and its implications among international institutions and countries, a process of energy transition toward low‐carbon economies is being promoted. With wind and solar power currently making far more electricity and growing at an incredible rate both domestically and internationally, according to this plan, the proportion of renewable energy sources (RESs) in the energy mix should rise 1‐3 . The construction of the corresponding infrastructures, which are frequently in rural areas, has either been viewed as a blessing or a curse, it has alternately been viewed as a historical opportunity to spur economic growth and employment and as a threat that prevents alternative developments in the future.…”
Section: Introductionmentioning
confidence: 99%
“…With wind and solar power currently making far more electricity and growing at an incredible rate both domestically and internationally, according to this plan, the proportion of renewable energy sources (RESs) in the energy mix should rise. [1][2][3] The construction of the corresponding infrastructures, which are frequently in rural areas, has either been viewed as a blessing or a curse, it has alternately been viewed as a historical opportunity to spur economic growth and employment and as a threat that prevents alternative developments in the future. The geopolitical implications of RESs have received increasing attention in recent years and researchers have discerned both the benefits and setbacks of the transition.…”
This paper proposes a comprehensive solution to the challenges of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources by proposing a coordinated energy management strategy and storage system. As renewable energy generation becomes increasingly popular, it introduces greater intermittency and stochasticity in energy management. To address this issue, a coordinated energy management strategy and storage system is proposed, which includes a fuzzy logic modified super twisting algorithm (MSTA). The objectives are to optimize the design and operation of microgrid including electrical based energy conversion systems such as photovoltaic and wind turbines, fuel cells, tidal energy, electric vehicle charging stations, and main grid. The second objective is to develop an energy management system for hybrid energy storage systems (HESS) and renewable energy sources (RESs) to maximize power production and ensure service continuity and smooth output energy of the microgrid, while also providing optimal benefits. To maintain cost‐effectiveness, an On/Off maximum power point tracking (MPPT) algorithm is also proposed. The contribution of this paper is to provide a solution to the intermittent and stochastic nature of renewable energy management and to improve the efficiency and durability of the energy conversion systems. The proposed management unit provides consistent output power and long‐term service.
“…The depletion of fossil fuels has raised the demand for renewable means of energy production for future life. The development of sustainable and renewable energy production and storage attained increasing attention due to its unique features, such as being environment‐friendly, safe, low pollution, and so forth 1‐3 . United Nation's Sustainable Development Goals (UNSDGs) envisage our planet to be green forever by implementing sustainable and renewable energy devices in the market 4‐6 .…”
Section: Introductionmentioning
confidence: 99%
“…to its unique features, such as being environmentfriendly, safe, low pollution, and so forth. [1][2][3] United Nation's Sustainable Development Goals (UNSDGs) envisage our planet to be green forever by implementing sustainable and renewable energy devices in the market. [4][5][6] The UNSDG Goal-7 illustrates the necessity of developing affordable and clean energy for a sustainable earth.…”
Electrochromism has received significant research recently due to its unique electrochromic feature for various applications such as smart buildings, smart doors, e‐skins, display devices, and so forth. Transition metal oxides are the major choice as electrode materials for electrochromic devices. Among the various electrochromic oxides available so far, tungsten oxide (WO3) achieves great interest due to its peculiar properties such as high coloration efficiency, low‐cost, high stability, and so forth. WO3 is an example of cathodic electrochromic material in which the material gets color under ion insertion. In this review article, we discuss the recent developments in WO3‐based electrochromic supercapacitors. Initially, the synthesis and characterizations of WO3 are discussed, and later the electrochromic performance evaluation using various electrochemical characterization tools, such as cyclic voltammetry, galvanostatic charge/discharge cycling, and so on, was reviewed. Furthermore, various theoretical models that describe the performance of electrochromic supercapacitors are explained in detail. Finally, the future perspectives of WO3‐based electrochromic supercapacitors are discussed. The most recent advances in machine learning (ML) are being utilized to investigate the mechanism and enhance the strategic performance of WO3 in the field of electrochromic. There is ongoing research in developing ML models for predicting the optimal design of electrochromic supercapacitors in terms of both material selection and performance parameters. Such models are essential in the pursuit of next‐generation smart windows, which are integral to the construction of sustainable buildings and the creation of a more environment‐friendly planet.
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