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Integrating hybrid energy storage system (HESS) consisting of battery and supercapacitor provides balance over the power generation and load demand, ensuring the system's stability under transient conditions. Along with battery storage, to control its rate of charging/discharging a rate limiter (RTL) is usually employed. However, the impact of the RTL on battery storage efficiency and system performance has not been explored in the existing literature. This paper investigates the performance of a grid‐tied photovoltaic (PV) system with HESS under dynamic scenarios with different RTL values applied to the battery storage. The paper explores the simulation analysis considering transient, linear, and steady‐state conditions with varying PV generation and load demand. The simulation study shows that a lower RTL value may slow down the battery response, leading to inefficient utilization of battery storage. Alternatively, a very high RTL value will not appropriately regulate the battery current, which may lead to frequent charging and discharging and deterioration of battery life. For the proposed system, RTL with a value of 100 A/s seems appropriate, providing 1.29 Wh of energy through battery storage with an energy efficiency of 91.81% for the simulated time. The DC voltage is efficiently maintained at 400 V with a ripple factor of 0.45%. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This paper presents a review of the storage of solar thermal energy with phase‐change materials to minimize the gap between thermal energy supply and demand. Various types of systems are used to store solar thermal energy using phase‐change materials. The performance of latent heat storage is dependent on the shape and size of the fins, the orientation and design of the storage unit, and its position. The efficiency of a solar thermal collector integrated with phase change material depends on the inclination of the collector, the position of the phase change material, and its thermo‐physical properties. The study of the thermo‐physical properties of various phase‐change materials and their effects is the focus of this paper. [ABSTRACT FROM AUTHOR]

Hybrid renewable energy systems (HRES) are gaining high interest in supplying electric energy for remote communities. Energy storage systems (ESS) are utilized by green autonomous HRESs to accommodate the variability of renewable resources such as wind and solar energy systems. The lack of any traditional energy source is adding a great reliability challenge which should be compensated using expensive ESS. This challenge can be avoided by using a pumped hydro energy storage system (PHES) in harmony with batteries. The PHES is an excellent option to be used in NEOM city due to the perfect topographical characteristic of this site. The minimum cost of energy and the highest reliability is used as an objective for sizing the proposed entire green HRES. Using smart grid principles (SGP) and demand‐side management (DSM) in the design and operation stages will minimize system size and cost, which can result in a significant reduction in consumer bills. As a result, this paper introduces an innovative DSM based on a dynamic tariff. The suggested DSM technique was developed utilizing a unique fuzzy logic that takes into account the present and day‐ahead ESS situations to intelligently determine the ideal tariff for the lowest cost and maximum reliability of the HRES. This paper introduces a modified grey wolf optimization (MGWO) technique to shorten convergence time while preserving the best accuracy. The suggested MGWO is assessed against 10 swarm optimization techniques. The payback period of the project is 7 years. The findings acquired from this unique program demonstrated its superiority, with conversion times reduced by 22% to 80% when compared to previous optimization procedures. Furthermore, as compared to the flat rate pricing tariff, the usage of the dynamic tariff lowered the LCOE by 53%. [ABSTRACT FROM AUTHOR]

This paper presents an innovative approach to enhancing the range of battery electric vehicles (BEVs) through the integration of a hydrogen fuel cell range extender. By combining the high energy efficiency of BEVs with the rapid refueling capability and extended range of hydrogen fuel cells, this hybrid system addresses the limitations of current electric vehicles in scenarios demanding longer driving ranges or quicker refueling options. Our study encompasses both experimental and theoretical analyses, leading to the proposal of a BEV configuration that includes a smaller battery complemented by a fuel cell range extender. The conventional fuel cell electric vehicle (FCV) examined relies exclusively on hydrogen fuel and features a minimal battery without plug‐in functionality, resulting in suboptimal energy economy. In contrast, our proposed BEV with a fuel cell range extender employs a larger battery capacity of 12 to 16 kWh alongside a downsized fuel cell stack and reduced hydrogen tank size. This configuration significantly improves energy recovery during braking and extends electric operation, thereby doubling the vehicle's energy economy. The proposed system not only enhances energy efficiency but also reduces the weight and volume of the overall energy storage system. Preliminary estimates suggest that the miles‐per‐gallon equivalent (MPGe) of this hybrid solution could exceed 140 over the US EPA certification cycle, outperforming existing PHEVs, BEVs, and FCVs. [ABSTRACT FROM AUTHOR]

When it comes to solar thermal power systems, a latent heat energy storage unit is one possible solution to the imbalance in supply and demand. On a shell‐tube type heat storage system, computational and experimental research was done to determine how to charge a heat storage system using honeybee wax‐biodegradable phase change material. This paper examines the impact of single, double, and triple inner heat transfer fluid tubes on the melting properties of bee wax in relation to vertical and horizontal eccentricity. Through the experimental examination of a lab‐scale prototype, the computational model was verified. A computational model was used to investigate the impact of eccentricity on different configurations for the melting process. Utilizing multiple tubes significantly shortened the charging time, according to the system analysis. In a vertically downward direction, melting time reduced as eccentricity increased. Compared to the single tube concentric case, the maximum melting time reduction for the single‐, double‐, and triple‐tube cases was 63.7%, 67.0%, and 68.34%, respectively. [ABSTRACT FROM AUTHOR]

Recent research focuses on optimal design of thermal energy storage (TES) systems for various plants and processes, using advanced optimization techniques. There is a wide range of TES technologies for diverse thermal applications, each with unique technical and economic characteristics. Matching an application with the most suitable TES system remains challenging. This study proposes an eight‐step design methodology guiding the process from describing the thermal process to defining the most appropriate TES based on constraints and requirements. The steps include specifying the thermal process, system design parameters, storage characteristics, integration parameters, key performance indicators, optimization method, tools, and design robustness. Seven already‐designed TES systems are evaluated to assess the methodology's effectiveness, where the design procedures have been adapted to the proposed steps. Case studies involve various applications with both sensible and latent TES systems, demonstrating the applicability of the proposed design procedure. A significant diversity exists among the design cases regarding the design objective, input, design, and output parameters. Nevertheless, the design procedure in each case can be deconstructed into the outlined design steps. The last design step has been excluded from all case studies due to insufficient information regarding the robustness of the design process. The paper demonstrates how a methodical approach can be applied to examine the TES design and the integration. The design steps proposed in this study can serve as a foundation for developing a more systematic approach for designing TES systems in future works, resulting in simplifying the design process. [ABSTRACT FROM AUTHOR]

This paper deals with the model predictive current control of a three‐level bidirectional buck‐boost converter for a battery energy storage system in a bi‐polar direct current (DC) microgrid. It comprises a solar photovoltaic system, a wind energy system, a battery and DC loads. The proposed control scheme provides voltage balance and voltage regulation at the bi‐polar DC link during dynamic operating conditions, such as variations in solar irradiance, wind velocity and load. Predictive current control utilises the converter's discrete behaviour to identify the suitable switching states that minimise the cost function. Furthermore, bidirectional power flow capabilities allow the connection of energy storage devices, such as batteries and ultra‐capacitors, to the bi‐polar DC microgrid. The proposed system is verified through simulations and validated on a lab‐scale prototype. The results have been found satisfactory with respect to steady‐state error, peak overshoot, and settling time. [ABSTRACT FROM AUTHOR]

This paper presents a new formulation for solving the expansion planning of transmission lines and energy storage systems while considering the integration of electricity and gas networks. The proposed model is a bi‐level stochastic planning model. It involves transmission and battery expansion planning at one level, and gas network modeling at the other. The study addresses the impact of high penetration of renewable resources and security constraints on both the electricity and gas networks within the context of network expansion planning. The proposed model is a stochastic mixed‐integer linear programming model at both levels, and its challenging solution is achieved through reformulation and decomposition methods. Two experimental networks are analyzed: a 6‐node network and the IEEE RTS 24‐bus network for the electricity network, coupled with 5‐node and 10‐node gas network systems. The results demonstrate the efficiency of the proposed model. Simulation results indicate that the proposed model is highly effective in scenarios where power and gas network lines are disconnected, preventing load shedding even when the integrated network lines are disconnected. [ABSTRACT FROM AUTHOR]

In this paper, the present status of energy storage implementation and research in Arab countries (ACs) is investigated. The different technologies of energy storage are reviewed then projects and capacities of installed or planned energy storage systems in the ACs are summarized based on published literature. In ACs, the installed and planned capacity of pumped hydro storage is 4365 MW, while for battery storage it is 5597 MW. No compressed energy storage projects are installed or planned in the near future. Green hydrogen as a fuel is planned in Egypt, Algeria, and Morocco. Renewable energy as a main employer of energy storage is predicted for the next 30 years; similarly, energy storage capacity is forecasted for the next 30 years. To enhance energy storage implementation it is recommended to include energy storage in all new commercial renewable energy projects. In addition to creating a regulatory framework that encourages the development of energy storage schemes. To advance research in the energy storage, modeling and simulation of energy storage systems in residential, commercial, and industrial sectors are recommended. In addition, cold energy storage for cooling and air‐conditioning using phase change material to be investigated. [ABSTRACT FROM AUTHOR]

In most situations, fuel cells (FCs) are insufficient to supply power demands in hybrid electric vehicles (HEVs), thus battery storage systems (BSSs) are used to make the system more efficient like as rapid starting, high power density, and enhanced dynamic set response. How the power sources are regulated and distributed determines the accomplishment efficiency of the driving forces in such a configuration. The most critical aspect should be how to guarantee torque stability of the traction motor which is in our case a permanent magnet synchronous motor (PMSM) while attaining quick reaction. This study discusses a hybrid battery‐FCs energy storage and management system for a hybrid electric vehicle (HEV), as well as an integrated PMSM's passivity‐based control (PBC) technique to enable power integration and increase the hybrid electric vehicle (HEV)'s operating speed. The present paper is separated into two sections. First, a power management control (PMC) technology is used to manage the FCs‐battery system to guarantee that the HEV gets continuous power from the hybrid energy resources, where a fuzzy logic controller is used as an artificial intelligence system for the FCs converter to maximize the power produced. The second is dedicated to the new proposed PBC control of the EV's PMSM to rectify non‐linearities, external disturbances, and parametric fluctuations. The standard proportional‐integral (PI) control and sliding mode control (SMC) are built for comparison with the proposed PBC dedicated to the PMSM in order to properly assess the efficacy of the proposed control strategy. The simulation results obtained using MATALB/Simulink show that the proposed PBC technique and hybrid battery‐ proton‐exchange membrane PEMFCs energy management enables high power integration and increase the EV's operational speed. [ABSTRACT FROM AUTHOR]

This paper unveils the simulation and optimum design of five models based on photovoltaic (PV), diesel generator (DG), and battery energy systems for rural area farmhouse load demand (agriculture and household). The choice for designing an optimal energy system is constructed on minimum technical considerations like loss of load probability (LOLP), economic (cost of electricity [COE] with net present cost [NPC]), environmental (CO2 aspects) using a novel flamingo swarm intelligence algorithm (FSIA). The optimization results are compared by particle swarm intelligence algorithm, improved particle swarm intelligence algorithm, genetic algorithms, and hybrid optimization of multiple energy resources (HOMER‐Pro). FSIA shows PV/DG/battery energy system to be an optimal system as regards NPC (Rs. 8 056 734), COE (12.14 Rs./kWh), CO2 (13 784 kg/y), and LOLP (0.00000501 per year). The saving of the fuel cost and CO2 emission from PV/DG/battery to DG only system is 66.10% and 61.26%, respectively. [ABSTRACT FROM AUTHOR]

As an effective strategy to implement electrical load shifting and to encourage the use of alternative renewable energies, such as solar and wind generation, the energy storage system plays an important role in the energy internet and the smart grid. Compressed air energy storage is a promising technique due to its efficiency, cleanliness, long life, and low cost. This paper reviews CAES technologies and seeks to demonstrate CAES's models, fundamentals, operating modes, and classifications. Application perspectives are described to promote the popularisation of CAES in the energy internet and smart grids. We review recent work on CAES. We evaluate and analyse these results to discover gaps and opportunities. The most important results indicate that CAES is generally considered an EES (electrical energy storage) option for wind power integration. However, current research is beginning to investigate CAES in combination with solar energy systems. Gaps may be identified in the study associated with CAES for microgrid integration and demand management which are future uses of CAES. [ABSTRACT FROM AUTHOR]

The radical decline in climatic conditions coerces the world to take steps progressive toward implementing green energy technologies in all facets. The electric vehicle is one such huge leap toward providing a pollution‐free environment to the future generation, but the charging techniques in most cases utilize the power that is obtained using thermal power stations, and so on. This concludes it to be not completely green energy, therefore in this paper, considered two far‐reaching sources viz. photovoltaic and wind energy storage systems. The sources are also supported with the presence of an additional storage unit of battery energy storage system (BESS) and the overall system is managed by energy management system (EMS) that is designed using a simple state flow algorithm instead of complex machine learning methods. The electric vehicle (EV) is charged using wireless power transfer technology. The model is built using MATLAB—Simulink software and the simulation results are validated against the physical calculation carried out over the equivalent circuit model reduction method. The values were taken from the TATA Nexon EV for consideration and the output values are 400 V and 15 A to be provided for the charging of the EV at the receiving end of the wireless charging. [ABSTRACT FROM AUTHOR]

Thermal energy storage (TES) system is the most eminent storage method that aids in the power generation. Latent heat storage (LHS) is on the rapid mark‐up that fosters the TES with the utilization of the phase transition of a material to store the heat. Typically the phase change materials (PCM) are used in the LHS system to store the energy. During the material's phase transition, thermal energy is stored and released. Nevertheless, the low thermal conductivity of the PCM in the LHS is susceptible to deteriorate the charging and discharging of the thermal energy. Hence there is a necessity to enhance the thermal performance of the LHS system, on which various studies have been done. Therefore this paper aims in providing a review on the enhancements of the LHS system with improved heat transfer rate and heat transfer enhancement techniques in the PCM for better efficiency. A comprehensive review on the LHS system component is provided to make an emphasis on the heat transfer enhancement rate and storage time. Various characterizations and categories of the PCM are provided to intensify the outcomes of the review as PCMs are most viable materials for storing thermal energy. In addition the recent researches on the integration of PCM with other materials are also discussed that help in the improvements of the thermal conductivity of the PCM. The selection parameters of the PCM materials are also discussed in brief to avoid the poor performance of the PCMs. The heat transfer analysis methods are analyzed to improve the efficiency and reduce the heat loss. Finally, advancements in the future trends for the enhancement of heat transfer is provided. [ABSTRACT FROM AUTHOR]

The variability of renewable energy generation and its mismatch with demand may lead to curtailment issues, which necessitates the deployment of energy storage on a significantly larger scale. A‐CAES is a promising technology for its green ability and technology maturity to serve as grid's load following. However, previous research mainly focuses on system analysis and core component optimal, and the performance of A‐CAES when constructing with renewable resources has not been fully addressed. In this paper, a comprehensive evaluation on A‐CAES is presented based on an annual photovoltaic (PV) output in western China. The A‐CAES is modeled from the systematic perspective and the PV output is classified into four types (sunny, mostly‐sunny, mostly‐cloudy, and cloudy). First, the performance with different weather and different rated power of A‐CAES is fully investigated. Then, performance availability with different rated power has been proposed—the optimal condition occurs with average 5.936 MWh/day capacity and 53.49% efficiency on 1800 kW rated power. The evaluation framework is suitable for evaluating the role of CAES with other sources and such result provides a reference for A‐CAES designing and further application. [ABSTRACT FROM AUTHOR]

Extracting the parameters of a lead‐acid battery under real‐world operating conditions is a significant part of solar photovoltaic (PV) engineering. Usually, the battery management system handles the battery system based on its model. However, its model's parameters can change due to its electrochemical nature. Hence, enhancing the model parameters' accuracy is required to achieve a reliable and accurate model. This research employs an improved methodology for extracting lead‐acid battery data outdoors. The suggested method combines numerical and analytical formulations of parametric battery models for solar PV energy storage. The Shepherd model, which considers the battery's non‐linear properties, is selected in this paper. Based on a modern meta‐heuristic marine predator algorithm, the parameters of two solar lead‐acid batteries are discovered using an optimal parameter identification technique (MPA). The MPA exhibits its capability in terms of fast convergence and accuracy. The acquired test results are compared to those produced by the salp swarm algorithm, artificial eco‐system optimizer, hunger games search, a new optimization meta‐heuristic method that inspires the behavior of the swarm of birds called COOT, and honey badger algorithm in terms of efficiency, convergence speed, and identification accuracy. The findings demonstrated that the MPA outperformed the other optimizers in identifying ability. This optimizer achieved 99.99% identification efficiency for both Bergan and Banner battery types, making it an excellent battery identification option. [ABSTRACT FROM AUTHOR]

Microgrids can meet their electrical energy needs through the use of renewable energy systems and energy storage. Combining hybrid renewable energy system (HRES) with a battery energy storage system (BESS) is the best way to increase the systems reliability while still satisfying load demand. Suitable sizing of microgrid with optimal power allocations of HRES and BESS in terms of capacity and discharge leads to improved reliability. Cost and reliability are two important aspects of microgrid system functioning. While designing the system with HRES and BESS, there must be an appropriate balance between cost and reliability. This paper presents an algorithm for optimal design of HRES with BESS for optimizing levelized cost of electricity (LCOE) and power supply reliability factor (PSRF) Particle swarm optimization and epsilon constraint based multi‐objective PSO algorithms are used to solve the objectives considering 24 hours time horizon. A hybrid Wind‐PV system with Diesel Generator and BESS is considered for the study. In this work, 12 trails of simulation runs are made to obtain accurate values of average levelized cost of electricity and power supply reliability factor along with the optimal power allocations of DGs and BESS. According to the findings, sizing of HRES with BESS optimally lowers the LCOE by reducing the quantity of power drawn from the grid and improves PSRF. ε‐MPSO provides the optimal results in minimizing the LCOE by obtaining proper energy management between HRES and BESS with improved reliability. [ABSTRACT FROM AUTHOR]

This review paper examines the types of electric vehicle charging station (EVCS), its charging methods, connector guns, modes of charging, and testing and certification standards, and the current status of Indian standards with respect to international standards. The paper also discusses key challenges in the standardization of EVCS worldwide and provides recommendations. It is recommended to use the combined charging system (CCS) charging methodology which will cater to the electric vehicle (EV) market in the country as well as abroad and help promote faster adoption of EVs. With many advantages with CCS charging methodology such as single connector, both AC and DC charging, high power capacity, promoted by a large number of EV manufacturers across the globe, etc., it is recommended to use CCS charging methodology. CHArge de MOve (CHAdeMO) is the only charging methodology having a vehicle to grid (V2G) functionality that can be made compatible with local grid codes which can support the grid during peak load demand using the combination of bidirectional EVCS and EV batteries acting as energy storage equipment. Finally, a comparative analysis is provided between the Indian standards and international standards from Europe, China, Japan, Germany, North America, and International Organization for Standardization (ISO). [ABSTRACT FROM AUTHOR]

This paper discusses a generic design of lithium‐ion (Li‐ion) batteries and supercapacitors, which are important sources for energy storage systems (ESS). The main contribution of this study is to compare the available and experimental models for batteries and supercapacitors operating under continuous charge or discharge conditions. Even though the available models show similar behavior to the experimental ones in short‐term or pulsed discharge conditions, this situation may be different in continuous discharge conditions. For this purpose, the optimal electrical equivalent circuits of energy storage devices were constituted and modeled in the MATLAB/Simulink environment. Then, the electrical equivalent circuit parameters were approximately calculated with the help of dynamic equations. Finally, the model parameters were estimated using Nonlinear Least Squares Method (NLSM) and Trust Region Reflective Algorithm (TRRA). When the obtained results were evaluated together, it has been observed that the electrical equivalent circuit models (EECM) more accurately reveal the transient and steady states of energy storage devices compared to the available models, especially under continuous discharge conditions. [ABSTRACT FROM AUTHOR]

In this paper, we report the synthesis of MnTiO3 nanoparticles employing a simple, eco‐friendly and low‐cost hydrothermal method. The properties of MnTiO3 nanoparticles were analysed by XRD, FTIR, FE‐SEM, TEM and thermogravimetric analysis (TGA). Structural properties revealed that the MnTiO3 have rhombohedral phase. Morphological studies revealed that the synthesised sample has granular‐like structure. FTIR technique confirmed the formation of MnTiO3 nanoparticles. TGA shows that the as synthesised sample is thermally more stable. The electrochemical detection of acetaminophen (AMP) by using nano‐perovskite‐type manganese titanate (MnTiO3)‐modified glassy carbon electrode is reported. The conductive behaviour of MnTiO3‐modified glassy carbon electrode (MnTiO3/GCE) was confirmed by cyclic voltammetry (CV). Differential pulse voltammetry (DPV) was employed for the detection of AMP. DPV technique showed a comparatively lower detection potential with a higher peak response towards AMP sensing with a linear range of 1.3 to 13.8 μM. The limit of detection and sensitivity were found 1.26 μM and 36.22 μA μM−1 m−2, respectively. Moreover, the modified electrode also demonstrated better repeatability, reproducibility and higher stability, hence used for the analysis of AMP in pharmaceutical and human serum samples with good recoveries. Electrochemical properties showed that the MnTiO3 perovskite has specific capacitance 357.2 F g−1 revealing its charge storing ability. [ABSTRACT FROM AUTHOR]

This paper proposes a black widow optimization (BWO) algorithm‐based derivative‐type control for optimized virtual inertia (VI) emulation using fast responding ultracapacitor (UC) as energy storage system for frequency regulation in a two‐area deregulated power system composed of thermal and hydro units with high penetration of solar photovoltaic. The parameters of the system have been controlled by using newly formulated BWO and their performance have been compared for virtual inertial emulation efficacy with other algorithms under different contract obligations. The impact of the coordinated action of BWO‐based proportional‐integral (PI) controller with VI emulation has been validated on the area frequency, tie‐line power, and generated power of different units. The eigenvalue approach has been applied to verify the performance and effect of VI emulation control using fast acting UC on system stability. The proposed VI emulation control studies have been evaluated under nonlinear environment of deregulated power system. The comparative studies show that BWO optimized PI‐based VI emulation using fast responding UC provides superior dynamic responsiveness in all competitive electricity market scenarios tested under different operating conditions. [ABSTRACT FROM AUTHOR]

Extricating the energy from lightning impulse is very difficult for researchers due to the uncontrollability of hazardous and intermittent parameters. This paper proposed a mathematical method to island the lightning impulse to provide safety for the impulse storage system. The proposed model also can intelligently force the impulse to be extricated for the conversion system of the lightning energy storage device. This islanding controller is designed to increase the efficiency and safety of the storage system. Six essential parameters, that is, breakdown voltage, current dependency, spark channel radius, spark channel conductivity, coil inductance, and coil voltage, are considered to design the mathematical model. These parameters are formulated to record the responses of the proposed controller. All the equations are validated by using state of the art experiments and prototype hardware setup. The proposed method, mathematical model, and analyzed responses may assist lightning researchers in advancing lightning energy harvesting. [ABSTRACT FROM AUTHOR]

This paper aims to reduce LCOE (levelized cost of energy), NPC (net present cost), unmet load, and greenhouse gas emissions by utilizing an optimized solar photovoltaic (SPV)/battery energy storage (BES) off‐grid integrated renewable energy system configured with a 21‐kW SPV, 5707.8 kW BES, and a 12‐kW converter system. The LCOE is reduced to 14.73% of that obtained in the diesel generator (DG)‐only system by deploying the proposed energy system and to 28.61% of that obtained in the DG/battery energy system. The NPC is reduced to 14.78% of that DG and 28.70% of that DG/battery energy system. By sensitivity analysis, it is found that LCOE decreases with the increasing inflation rate and also with the decreasing discount rate. A performance compression analysis between the designed energy system and similar recent studies has also been presented. The proposed energy system reduces diesel consumption by at least 8113 L/year and total greenhouse gas emissions by at least 21 545 kg/year in the study area. Also, 13.9% of excess energy is produced per year at only 0.02% of the unmet load percentage. These outcomes are extremely relevant for making investments in policies for supplying electricity to a residential load in a low‐load profile area. [ABSTRACT FROM AUTHOR]

In this paper, a novel liquefied air energy storage (LAES) system driven by wind energy and natural gas, integrated with a two‐stage supercritical carbon dioxide cycle is proposed and investigated. Three different sensible thermal energy storage (TES) systems are considered in this study to store the heat produced in the compressions stage and use it later to improve the performance. The proposed system is analyzed in terms of energy, exergy, exergo‐economic, and environmental impacts. A detailed economical and technical investigation is carried out to determine system hotspots, exergy destruction rates, and the performance of the system and subsystems. Finally, by considering ten design variables, the nondominated sorting genetic algorithm‐II (NSGA‐II) is employed to evaluate the optimal design solutions for double objective functions, including cost per unit of exergy and overall system exergy efficiency. Results indicate that for a 50 MW of discharging power, 80.75 MW of charging electricity and 1.22 kg/s of fuel are required. Additionally, the product cost per unit of exergy and the levelized costs are calculated as 32.02 $/GJ and 0.133 $/kWh, respectively. The results of the optimization study also show that for the optimal Pareto solution, the energy efficiency would be 52.2% while the exergy efficiency is 45.26%. [ABSTRACT FROM AUTHOR]

Considering the broad range of applications, efficient retrieval and storing electrical energy methods are still challenging. Besides the load variations, the ever‐increasing intermittent renewable energy penetration into the grid system has witnessed the system complexities. In off‐grid applications, energy storage can balance electricity consumption and electricity generation to avoid voltage and frequency deviations. This research paper focuses on the energy management of an off‐grid climate refuge system used for hot and arid locations with a system comparison for two routes of different storage techniques, namely flywheels and a lithium‐ion battery. The proposed system can generate its power from photovoltaics and provide cooling and other auxiliaries through vapor compression cycle and water misting units with an operation of about 16 hours (ie, from 7:00 am to 11:00 pm) on the weekdays and 12 hours on the weekends. A comparison of levelized costs is conducted for the evaluation using HOMER software. The annual energy production by solar photovoltaics for the proposed system is 20 MWh, and the annual consumption is 16 MWh. The photovoltaic‐battery storage system has shown the lowest cost of electricity, corresponding to 0.761 $/kWh, and net present cost of $66 238 and is optimum in all sensitivity analysis cases. [ABSTRACT FROM AUTHOR]

This paper deals with the experimental investigation of convection heating of air inside an experimental chamber similar to a room prototype. A solid‐liquid phase change material (PCM) is used for space heating of the room. A PCM carrier made up of aluminum is placed at various locations in the experimental chamber. The PCM is heated in a water bath and the water in the bath can be heated via solar energy. A theoretical insight highlighting the usage of the current heating system involving the water bath and solar energy is also briefly discussed. The analysis is carried out for various temperatures representing mild winter temperatures in most of the regions in India. Temperature measurements were performed inside the air cavity as well as near the PCM carrier during the air heating process. Three different PCM carriers with different aspect ratios have been used to test the effect of different orientations on space heating. Further, the PCM carrier was kept at two different locations inside the chamber to observe the effect of location on space heating. A new dimensionless temperature has been defined to compare the effect on room air with each PCM configuration. [ABSTRACT FROM AUTHOR]

This paper presents a technical and economic simulation of a solar photovoltaic system with three different storage types. Battery lead‐acid, battery lithium‐ion, and hydrogen storage have been used to cover the consumption of houses in an isolated village in southwest Algeria. The main objective of this study is trying to use the roof of the houses to cover consumption by installing solar panels and build a room for electric equipment like inverter, battery, power system management, and so forth. The proposed hybrid system size is 50 photovoltaic panels with 7 kW electrolyzer and a tank of 6 kg for hydrogen storage. The hourly consumption of this houses was estimated during two seasons; season of low consumption (winter) and season of high consumption (summer). The results obtained from Hybrid Optimization Model for Electric Renewable PRO software have been validated using MATLAB/Simulink software. The results show that the best storage system is the hydrogen storage due to low excess energy with no unmet load, the results show also that the system that uses hydrogen storage is the most economic system compared to the other storage types (lead‐acid and lithium‐ion) due to low investment cost and long lifetime. This system costs 51 282€. [ABSTRACT FROM AUTHOR]