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Adoption of residential behind-the-meter solar photovoltaic-plus-storage systems (PVESS) is driven, in part, by customer demand for backup power. However, there is limited understanding of how these systems perform over a range of building stock conditions that will evolve with future efficiency and electrification trends, posing challenges for identifying optimal electric resiliency investments. This study quantifies how residential energy consumption impacts the capability of PVESS to provide home backup power during long-duration power interruptions. We model statistically representative distributions of the residential building stock and estimate storage sizes required to provide backup power as a series of building envelope efficiency, load flexibility, and electrification measures are applied. For the baseline building stock, median storage size requirements range from 10 kWh in temperate weather conditions to 90 kWh in hot climates for a 3-day power interruption. Applying energy efficiency and temperature set-point adjustments reduce storage size requirements by 2–45 kWh (16%–53 %). In hot locations, heat pump retrofits reduce median storage sizing by an additional 10–30 kWh while in cold locations, they drive 10–50 kWh of storage capacity increase. Our results suggest that bi-directional EV charging may be essential to enabling PVESS backup of heating and cooling, given their typically large kWh sizes.

This work utilizes the particle swarm optimization (PSO) for optimal sizing of a solar–wind–battery hybrid renewable energy system (HRES) for a rural community in Rivers State, Nigeria (Okorobo-Ile Town). The objective is to minimize the total economic cost (TEC), the total annual system cost (TAC) and the levelized cost of energy (LCOE). A two-step approach is used. The algorithm first determines the optimal number of solar panels and wind turbines. Based on the results obtained in the first step, the optimal number of batteries and inverters is computed. The overall results obtained are then compared with results from the Non-dominant Sorting Genetic Algorithm II (NGSA-II), hybrid genetic algorithm–particle swarm optimization (GA-PSO) and the proprietary derivative-free optimization algorithm. An energy management system monitors the energy balance and ensures that the load management is adequate using the battery state of charge as a control strategy. Results obtained showed that the optimal configuration consists of solar panels (151), wind turbine (3), inverter (122) and batteries (31). This results in a minimized TEC, TAC and LCOE of USD 469,200, USD 297,100 and 0.007/kWh, respectively. The optimal configuration when simulated under various climatic scenarios was able to meet the energy needs of the community irrespective of ambient conditions. [ABSTRACT FROM AUTHOR]

The energy optimization in smart power grids (SPGs) is crucial for ensuring efficient, sustainable, and cost-effective energy management. However, the uncertainty and stochastic nature of distributed generations (DGs) and loads pose significant challenges to optimization models. In this study, we propose a novel optimization model that addresses these challenges by employing a probabilistic method to model the uncertain behavior of DGs and loads. Our model utilizes the multi-objective wind-driven optimization (MOWDO) technique with fuzzy mechanism to simultaneously address economic, environmental, and comfort concerns in SPGs. Unlike existing models, our approach incorporates a hybrid demand response (HDR), combining price-based and incentive-based DR to mitigate rebound peaks and ensure stable and efficient energy usage. The model also introduces battery energy storage systems (BESS) as environmentally friendly backup sources, reducing reliance on fossil fuels and promoting sustainability. We assess the developed model across various distinct configurations: optimizing operational costs and pollution emissions independently with/without DR, optimizing both operational costs and pollution emissions concurrently with/without DR, and optimizing operational costs, user comfort, and pollution emissions simultaneously with/without DR. The experimental findings reveal that the developed model performs better than the multi-objective bird swarm optimization (MOBSO) algorithm across metrics, including operational cost, user comfort, and pollution emissions. • Presenting a multi-objective model for energy management via day-ahead scheduling in smart grids. • Enhancing day-ahead scheduling with renewables and demand response strategies. • Introducing a probabilistic model for solar and wind energy uncertainty prediction. • Proposing a hybrid demand response to lower peak energy demand and prevent rebound peaks. • Utilizing MOWDO algorithm for optimal Pareto fronts exploration to achieve tri-objective optimization: cost, emissions, and user comfort. [ABSTRACT FROM AUTHOR]

"Ensure access to affordable, reliable, sustainable, and modern energy for all" is one of the United Nations' 17 Sustainable Development Goals. A key target for achieving this goal is increasing the share of renewable energy. In the United States, many states are evaluating the environmental and economic impacts of the renewable energy transition. This study provides an in-depth evaluation of the economic impact of Ohio's proposed Community Solar Pilot Program, which plans to install 1750 MW of new solar capacity, including 250 MW on distressed Appalachian sites. We combine two input–output models to estimate the economic impact of community solar projects: the Jobs and Economic Development Impact (JEDI) model from the National Renewable Energy Laboratory (NREL) for the construction phase, and IMPLAN for the projects' 25-year lifespan. Data for this study were gathered through surveys of local solar developers, who are familiar with the regional costs of installing and operating solar projects. Our findings indicate that the community solar program could support 32,430 full-time job years and contribute USD 4.37 billion to Ohio's Gross State Product (GSP). Additionally, the program could generate USD 409.5 million in local tax revenue over its lifetime. The study highlights the potential of renewable energy initiatives to foster economic growth, particularly in economically distressed regions like Appalachian Ohio. [ABSTRACT FROM AUTHOR]

We present a proof of concept demonstration of solar thermochemical energy storage on a multiple year time scale. The storage is fungible and can take the form of process heat or hydrogen. We designed and fabricated a 4-kW solar rotary drum reactor to carry out the solar-driven charging step of solar thermochemical storage via metal oxide reduction-oxidation cycles. During the summer of 2019, the solar reactor was operated in the Valparaiso University solar furnace to effect the reduction of submillimeter cobalt oxide particles in air at approximately 1000°C. A particle collection system cooled the reduced particles rapidly enough to maintain conversions of 84-94% for feed rates of 2.9-60.8gmin-1. The solar-to-chemical storage efficiency, defined as the enthalpy of the reduction reaction at 1000°C divided by the solar energy input, reached 20%. Samples of the reduced cobalt oxide particles were stored in vials in air at room temperature for more than 3 years. The stored solar energy was released by reoxidizing samples in air in a benchtop reactor and by electrochemically reoxidizing samples to produce H2. Measurements of the oxygen uptake by the reduced metal oxide confirm its promise as a medium to store and dispatch solar energy over long durations. Linear sweep voltammetry and bulk electrolysis demonstrate the promise of H2 production at 0.55 V relative to the normal hydrogen electrode, 0.68 V below the 1.23 V potential required for conventional electrolysis. [ABSTRACT FROM AUTHOR]

The Mt. Wilson Observatory archive of observations of solar disk magnetic fields, Doppler velocities, and spectral line intensities is a resource for studying the Sun's state from 1967 to 2013. Instrument changes/upgrades during this time must be considered when interpreting this record. Portions of this record have been previously released. This publication documents the data record in order to allow its independent interpretation. The archive is available through two directory trees which can be accessed at http://sha.stanford.edu/mwo/msm.html. The calibration of the observations is impacted by the solar surface convective flows, which produce offsets for both differential rotation and meridional circulation functions. The effects of these offsets have been reduced in this and other publications by temporal averaging. [ABSTRACT FROM AUTHOR]

The depletion of fossil fuels has become a significant global issue, prompting scientists to explore and refine methods for harnessing alternative energy sources. This study provides a comprehensive review of advancements and emerging technologies in the desalination industry, focusing on technological improvements and economic considerations. The analysis highlights the potential synergies of integrating multiple renewable energy systems to enhance desalination efficiency and minimise environmental consequences. The main areas of focus include aligning developing technologies like membrane distillation, pervaporation and forward osmosis with renewable energy and implementing hybrid renewable energy systems to improve the scalability and economic viability of desalination enterprises. The study also analyses obstacles related to desalination driven by renewable energy, including energy storage, fluctuations in energy supply, and deployment costs. By resolving these obstacles and investigating novel methodologies, the study enhances the understanding of how renewable energy can be used to construct more efficient, sustainable, and economical desalination systems. Thermal desalination technologies require more energy than membrane-based systems due to the significant energy requirements associated with water vaporisation. The photovoltaic-powered reverse osmosis (RO) system had the most economically favourable production cost, while MED powered via a concentrated solar power (CSP) system had the highest production cost. The study aims to guide future research and development efforts, ultimately promoting the worldwide use of renewable energy-powered desalination systems. [ABSTRACT FROM AUTHOR]

The aim of this study is to quantitatively describe the anticipated change in the energy mix of the Sultanate of Oman (Oman) as the country moves forward in its national plan for green hydrogen, in order to become a global producer and exporter. This aim is achieved by curating recent data about energy projects in Oman that are either operating or planned (in a construction or pre-construction stage). Then, these data are processed further to extract useful insights about how the energy mix would change if the planned projects are realized and added to the operating ones. This reveals the serious commitment of the country to accomplish its national plan for green hydrogen (GH), where the green hydrogen production ambition for 2030 is about 1.125 million tons per annum (Mtpa), using a renewable energy capacity of approximately 18 GW. This ambition increases to about 3.5 Mtpa with approximately 70 GW of renewables in 2040, and increases further to about 8 Mtpa with approximately 180 GW of renewables in 2050. As a portrait of Oman's energy mix with the assumption of successfully completing all planned energy projects, we found that the country is expected to have a total capacity of 83.1271 GW, with the share of renewables (solar and wind) reaching 83.133% (as compared to 15.0711 GW with an 8.907% renewables share for operating projects). Nearly all (precisely 99.571%) of the 68.0560 GW planned national energy capacity additions are based on solar or wind energy, while the traditional oil–gas energy is gradually phased out. Green hydrogen production dominates this surge in renewables penetration within the Omani energy mix, with 84.659% of the planned 34.3140 GW solar capacity additions linked with green hydrogen production, for operating water electrolyzers. Similarly, 98.804% of the planned 33.4500 GW wind capacity additions are linked with green hydrogen production. [ABSTRACT FROM AUTHOR]

The urgent global challenges of climate change, energy security, and environmental degradation highlight the need for sustainable energy solutions. Renewable energy sources (RES) present a viable pathway towards sustainability by mitigating greenhouse gas emissions, reducing reliance on fossil fuels, and fostering economic resilience. Purpose: The purpose of this paper is to propose an advanced Multi-Criteria Decision-Making (MCDM) approach to evaluate various RES by integrating environmental, economic, technological, social acceptance, and resource availability criteria, to identify the most suitable RES for sustainable energy solutions. Methodology: The study employs a hybrid method combining Type-2 Neutrosophic Numbers (T2NN) with LOPCOW (Logarithmic Percentage Change Operator Weighting) and MAIRCA (Multi-Attributive Ideal-Real Comparative Assessment) to rank the suitability of different RES, including solar, wind, hydropower, and geothermal energy. Findings: The case study results reveal wind energy as the top-ranked alternative, supported by consistent findings across comparative methods such as COPRAS, MABAC, EDAS, and TOPSIS. Sensitivity analysis further confirms the stability of the proposed model under various scenarios. Originality: The originality of this study lies in the integration of T2NN, LOPCOW, and MAIRCA to address the limitations of traditional MCDM approaches in handling uncertainty and imprecision in data. The study demonstrates the efficacy of the proposed framework in providing a robust evaluation of RES, and its value lies in its potential to inform decision-making in the field of sustainable energy solutions. [ABSTRACT FROM AUTHOR]

Photovoltaic (PV) modules are a key technology to aid the imminent transition from carbon‐based energy. End‐of‐life crystalline silicon PV modules produce a waste stream that is predominantly landfilled due to the recycling challenges associated with PV reuse economics. Current practices recycle the aluminum frame and repurpose the junction box but landfill the rest of the module. The primary challenge in recycling the remaining module is finding a technoeconomically viable method for separating the silicon and glass from the ethylene vinyl acetate (EVA) layers. This issue will rapidly expand with time as it is estimated that flat glass production for solar panels is currently unable to meet the demand for PV. Current literature suggests that chemical, thermal, and mechanical delamination offer economically feasible solutions under ideal circumstances. In this work we evaluate these methods using end‐of‐life panels and assess the economic viability. The technoeconomic study presented here suggests the most economically viable option for disposing of end‐of‐life solar panels, given current technology, is landfilling. Thermal delamination may offer an alternative route in the future. Financial incentives, which can be quantified with this work, may be required to kickstart PV recycling to help bridge externalities around environmental impact. [ABSTRACT FROM AUTHOR]

The use of renewable energy as a substitute for fossil fuels has several advantages. For a long time, the growth of Ghana’s renewable energy industry has been a priority for both the past and present governments. Currently, the economic growth of Ghana has not been impressive and the country is entrenched in an energy crisis. Despite the country’s achieving an electrification rate of 80%, still 60% of the rural population have no connection to the electricity service. The review gives an overview of the current energy scenario in Ghana and analyses its potential effects, benefits, and barriers to the expansion of renewable energy sources in the country. The results show that the Ghana Government has established its energy sector based on the definition of the key targets in line with the world trend. Ghana is equipped with a vast quantity of renewable energy potentials which include hydropower, solar, wind, and bioenergy. Even though it is critical to invest in the renewable energy industry, the growth of the sustainable energy sector has been hindered by certain factors such as; insufficient technological knowledge, lack of enough experience in developing sustainable energy and socio-cultural and human barriers.Highlights: Use of fossils fuel is associated with a lot of challenges including emission of greenhouse gases & renewable energy are alternative sources Ghana is experiencing an energy crisis despite modest economic growth and focus on renewable energy sector by governments Renewable sources of energy available in Ghana include; hydropower, solar, wind, etc. & has been a focus for government [ABSTRACT FROM AUTHOR]

The evolution of Sb2Se3 heterojunction devices away from CdS electron transport layers (ETL) to wide bandgap metal oxide alternatives is a critical target in the development of this emerging photovoltaic material. Metal oxide ETL/Sb2Se3 device performance has historically been limited by relatively low fill factors, despite offering clear advantages with regards to photocurrent collection. In this study, TiO2 ETLs are fabricated via direct current reactive sputtering and tested in complete Sb2Se3 devices. A strong correlation between TiO2 ETL processing conditions and the Sb2Se3 solar cell device response under forward bias conditions is observed and optimized. Numerical device models support experimental evidence of a spike‐like conduction band offset, which can be mediated, provided a sufficiently high conductivity and low interfacial defect density can be achieved in the TiO2 ETL. Ultimately, a SnO2:F/TiO2/Sb2Se3/P3HT/Au device with the reactively sputtered TiO2 ETL delivers an 8.12% power conversion efficiency (η), the highest TiO2/Sb2Se3 device reported to‐date. This is achieved by a substantial reduction in series resistance, driven by improved crystallinity of the reactively sputtered anatase‐TiO2 ETL, whilst maintaining almost maximum current collection for this device architecture. [ABSTRACT FROM AUTHOR]

Solar energy is clean, green, and virtually limitless. Yet its intermittent nature necessitates the use of efficient energy storage systems to achieve effective harnessing and utilization of solar energy. Solar-to-electrochemical energy storage represents an important solar utilization pathway. Photo-rechargeable electrochemical energy storage technologies, that are directly charged by light, can offer a novel approach in addressing the unpredictable energy surpluses and deficits associated with solar energy. Recent researches in the direct use of solar light to charge batteries and supercapacitors have demonstrated significant potentials. In this review, we will provide a comprehensive overview of the direct photo-rechargeable aqueous Zn-based energy storage technologies. We will also highlight the significant research advancements in electrode design, materials chemistry, performance, application prospects in direct photo-rechargeable Zn-ion capacitors, Zn-ion batteries, and Zn-air batteries. Lastly, we will provide insights into the opportunities and future directions in achieving high-performing direct photo-rechargeable aqueous Zn-based energy storage systems. [ABSTRACT FROM AUTHOR]

At high frequencies beyond the acoustic cut-off, a peak-like structure is visible in the solar power spectrum. Known as the pseudo-modes, their frequencies have been shown to vary in anti-phase with solar magnetic activity. In this work, we determined temporal variations in these frequencies across the solar disc, with the aim of identifying any potential latitudinal dependence of pseudo-mode frequency shifts. We utilised nearly 22 years of spatially resolved GONG data for all azimuthal orders, m , for harmonic degrees 0 ≤ l ≤ 200 , and determined shifts using the resampled periodogram method. Periodogram realisations were created from overlapping, successive 216 day-long segments in time, and cropped to 5600 – 6800 μHz. Cross-correlation functions were then repeatedly generated between these realisations to identify any variation in frequency and the uncertainty. We categorised each mode by its latitudinal sensitivity and used this categorisation to produce average frequency shifts for different latitude bands (15∘ and 5∘ in size) which were compared to magnetic proxies, the F 10.7 index and GONG synoptic maps. Morphological differences in the pseudo-mode shifts between different latitudes were found, which were most pronounced during the rise to solar maximum where shifts reach their minimum values. At all latitudes, shift behaviour was strongly in anti-correlation with the activity proxy. Additionally, periodicities shorter than the 11-year cycle were observed. Wavelet analysis was used to identify a periodicity of four years at all latitudes. [ABSTRACT FROM AUTHOR]

There continues to be considerable research on the adverse effect of photovoltaic (PV) panel temperature on its power production. Aside from attempting to minimize heating up of the panel by providing heat sinks and the like, several studies looked into using the unconverted heat as an input to a Thermoelectric generator residing below the PV panel and questionably generating additional power. Using simple steady energy balances, simplified steady thermal models of PV panels, individually or thermally-in-series coupled to heat engines are studied. The nodal energy equations are solved to ascertain resulting temperatures and efficiencies under different insolations. After establishing a simplified model for a lone PV panel, a PV panel with an added thermoelectric generator attached to its back side is studied. Solving the associated steady energy equations, the photovoltaic-thermoelectric system is found to have a smaller than expected advantage in net power, no more than 4.15 %, over the lone PV panel and then only at high insolation's and concentrations. The implication of this work is that hybridizing a PV panel by bottoming it with a thermoelectric generator is not quite attractive except possibly at higher solar concentrations. The margin to Increase the overall efficiency of a photovoltaic-thermoelectric hybrid by improving the thermoelectric-figure-of-merit does not appear to be significant although further consideration of thermoelectric materials may be required. [ABSTRACT FROM AUTHOR]

This paper highlights the role of the duration of promotional campaigns that leverage word of mouth on long-term solar adoption rates after the campaigns conclude. Intensive marketing campaigns can be used to increase awareness, consideration, purchase, and word of mouth (WOM) of prosocial products. With expanded interest and belief in how social norms and spillovers might be leveraged to combat climate change, it is critical to understand how campaigns designed to leverage such peer effects can be best designed. In this paper, we study the role of campaign duration in solar photovoltaic adoption using a large-scale field experiment in which we randomly assign communities to campaigns with shorter durations, increasing the marketing intensity to maintain the same total resources per campaign. We find that the longer campaigns generate more WOM and lead to more adoption postcampaign despite a comparable number of installations during the campaigns. The shorter campaigns led to 22.6 fewer installations per town in the two years after the campaigns concluded, leading to a cost per acquisition of $4,367 versus $2,029 in the longer campaigns, the latter being lower than installers' self-reported acquisition costs and the former being substantially higher. History: Olivier Toubia served as the senior editor. This paper was selected as a finalist in the 2022 Gary L. Lilien ISMS-MSI Practice Prize Competition. Funding: This work was supported by Agence Nationale de la Recherche (ANR) [Grant ANR-17-EURE-0010 (Investissements d'Avenir program)] and the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy [Solar Energy Technologies Office Grant DE-EE0006128]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mksc.2022.0243 [ABSTRACT FROM AUTHOR]

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Abstract The use of renewable energy as a substitute for fossil fuels has several advantages. For a long time, the growth of Ghana’s renewable energy industry has been a priority for both the past and present governments. Currently, the economic growth of Ghana has not been impressive and the country is entrenched in an energy crisis. Despite the country’s achieving an electrification rate of 80%, still 60% of the rural population have no connection to the electricity service. The review gives an overview of the current energy scenario in Ghana and analyses its potential effects, benefits, and barriers to the expansion of renewable energy sources in the country. The results show that the Ghana Government has established its energy sector based on the definition of the key targets in line with the world trend. Ghana is equipped with a vast quantity of renewable energy potentials which include hydropower, solar, wind, and bioenergy. Even though it is critical to invest in the renewable energy industry, the growth of the sustainable energy sector has been hindered by certain factors such as; insufficient technological knowledge, lack of enough experience in developing sustainable energy and socio-cultural and human barriers.

Abstract Solar energy is clean, green, and virtually limitless. Yet its intermittent nature necessitates the use of efficient energy storage systems to achieve effective harnessing and utilization of solar energy. Solar-to-electrochemical energy storage represents an important solar utilization pathway. Photo-rechargeable electrochemical energy storage technologies, that are directly charged by light, can offer a novel approach in addressing the unpredictable energy surpluses and deficits associated with solar energy. Recent researches in the direct use of solar light to charge batteries and supercapacitors have demonstrated significant potentials. In this review, we will provide a comprehensive overview of the direct photo-rechargeable aqueous Zn-based energy storage technologies. We will also highlight the significant research advancements in electrode design, materials chemistry, performance, application prospects in direct photo-rechargeable Zn-ion capacitors, Zn-ion batteries, and Zn-air batteries. Lastly, we will provide insights into the opportunities and future directions in achieving high-performing direct photo-rechargeable aqueous Zn-based energy storage systems.

Individual demand for emerging technologies can be influenced by the demand of other individuals within defined peer groups. These so-called peer effects have been demonstrated in emerging clean energy technologies such as rooftop solar. To date, peer effects have disproportionately driven solar adoption among relatively affluent households. Here, we use household-level income estimates of rooftop solar adopters to explore how peer effects drive adoption for low-income households. We find evidence of peer effects for both high- and low-income households and find that peer effects are generally stronger within than across income groups. Our results indicate that peer effects translate to adoption less frequently among low-income households. These results suggest that low-income peer effects are mitigated by barriers to low-income adoption. Heterogeneous peer influence is another demand shifter that explains the inequitable adoption of emerging technologies.

Photocatalytic hydrogen production is a promising renewable energy process. CdS is a widely used photocatalyst; however, the photocorrosion problem causing the low stability and fast charge recombination problem causing the low photocatalytic activity are also well-known. To prevent the stability problem, CdxZn1-xS which has tunable optical properties has become forward. MoS2 is used as an additive to semiconductor photocatalysts due to its wide contact interface, inhibition of charge recombination, low cost, high reactivity for H2 evolution reaction, and enhancement of visible light response. In this study, CdxZn1-xS/MoS2 was synthesized in an uniformly distributed nanocomposite form by solvothermal method using 1,3-diaminopropane for the first time. The characterization of the photocatalysts was performed with XRD, UV-vis DRS, TEM and electrochemical measurements. CdxZn1-xS/MoS2 photocatalysts were tested for hydrogen production under solar light. A full factor design was carried out via Minitab 19 to investigate the factors affecting the produced hydrogen amount. Cd/Zn ratio, MoS2 content, and photocatalyst loading were studied. Photocatalytic hydrogen production results were examined by analysis of variance and interpretation plots showed that the maximum hydrogen production would be obtained with 10 mg photocatalyst loading by CdxZn1-xS/MoS2 with Cd/Zn ratio between 0.5/0.5 and 0.7/0.3, and MoS2 content 2–4%. [ABSTRACT FROM AUTHOR]

The Global Climate Risk Index ranks Pakistan as the fifth most vulnerable nation in the world because of its climate conditions. Further, 28% of Pakistan's total greenhouse gas (GHG) emissions are contributed by the transport sector. Renewable energy resources based on solar photovoltaics and wind turbines, along with hydrogen as a clean energy storage medium, are thought to be the most prominent and promising means of reducing these emissions from the transportation sector. This study aims to conduct a techno-economic viability assessment for an off-grid PV-wind-hydrogen storage-based EV charging station in order to determine the optimal configuration that can satisfy the necessary load demand. For the purpose of the simulation and optimization process, HOMER Pro software is used. Moreover, this research work has performed a comparative analysis among four cities of Pakistan to determine the influence of geographical and climate factors on energy generation (MWh), size (MW), and cost parameters (i.e., NPC and COE) of the charging station. For the purpose of in-depth analysis, two cases are considered in which load demand is kept the same and the designed system for Hyderabad city is considered as a "base system". In case 1, the objective is to determine the variation in annual renewable energy generation keeping the same system size in all four cities. In case 2, the variation in energy generation is minimized near the base value to determine the impact on size and cost parameters. The results revealed that the lowest NPC and COE occur in Peshawar, followed by Quetta, Lahore, and Hyderabad. For Hyderabad, when the outcomes of cases 1 and 2 were compared, its NPC and COE stayed the same due to the base case, with values of 21 M$ and 0.567 $/kWh, respectively. Whereas, in Peshawar, the value of NPC dropped from 18 M$ to 14.6 M$ while the value of COE decreased from 0.485 $/kWh to 0.393 $/kWh. The research findings provide the possible implications of distinct geographical locations and climate conditions upon renewable energy generation and its further influence on system size and economic parameters. The outcomes of this research will be insightful for policymakers and stakeholders while planning and designing an off-grid EV charging station infrastructure. • Techno-economic feasibility analysis to determine the optimal size and cost parameters of EV charging station. • A comparative analysis of EV charging stations among four climatically distinct cities. • The potential of hydrogen as a sole energy storage medium. • HOMER Pro software is utilized for modelling, simulation, and optimization. • The lowest NPC and COE are $14.6 M and 0.393 $/kWh respectively. [ABSTRACT FROM AUTHOR]

Understanding the degradation behaviour of organic photovoltaic (OPV) devices is an essential part to improve their stability prior to massive production. Accelerated aging can help to assess their stability and study the underlying degradation mechanisms of OPVs. Most studies focus on individual layers or a full device, and little is known about the role a pre‐aged layer stack plays in the performance of a device. Herein, we report the investigation of the effects of pre‐aging of multiple layers on the performance of OPVs. Instead of aging a single layer or an entire stack (sequential layers: ITO/PEDOT:PSS/MoOx/F‐BsubPc/C60/BCP/Ag), our process involved aging the intermediate layer stack for 24 h after depositing a specific layer before continuing with the subsequent depositions to fully fabricate/manufacture OPVs. Aging was conducted under four controlled conditions considering parameters including moisture, gas type, and temperature in the absence of light according to the International Summit on Organic Photovoltaic Stability (ISOS) protocols. Short of PEDOT:PSS we found that multiple layers, being subjected to the parameters, resulted in a decline in OPV device performance after being fully manufactured. Device performance is evaluated based on short‐circuit current density (Jsc), power conversion efficiency (PCE), and open‐circuit voltage (Voc). Our analysis provides insight into the degradation mechanisms of layered/planar OPV structures and offers strategic guidance for optimizing fabrication processes, particularly during the layer deposition transitions. We recommend that during OPV vacuum deposited fabrication, intermediate layers should be protected from moisture, O2, high temperature, and even inert gases, preferably in a low‐vacuum environment. [ABSTRACT FROM AUTHOR]

The detailed examination of utilizing renewable energy sources, particularly integrating Photovoltaic (PV) arrays and Multilevel Inverters (MLI), is thorough and underscores the importance of addressing environmental issues linked to fossil fuels. The selection of Sinusoidal Pulse Width Modulation (SPWM) and its benefits, such as low switching losses and high efficiency, are well-articulated. The simulation results showing sinusoidal waveforms for resistive loads and the focus on reducing Total Harmonic Distortion (THD) using an LC filter further highlight the commitment to achieving high-quality power output. THD reduction is crucial for maintaining the stability and reliability of power systems. The incorporation of a seven-level MLI adds complexity and sophistication to the system, potentially allowing for more precise control over the output waveform and enhancing the overall performance of the renewable energy system. The consideration of factors like efficiency, reliability, and grid compatibility aligns with best practices in the design and implementation of renewable energy systems. Your approach clearly aligns with the broader industry trend towards cleaner and more sustainable energy solutions. Overall, the strategic and effective use of renewable energy, SPWM for control, addressing THD through an LC filter, and incorporating an eleven-level MLI showcases multi-order harmonic elimination for maximum power generation as presented in this paper.

Abstract The reliable operation of power systems while integrating renewable energy systems depends on Optimal Power Flow (OPF). Power systems meet the operational demands by efficiently managing the OPF. Identifying the optimal solution for the OPF problem is essential to ensure voltage stability, and minimize power loss and fuel cost when the power system is integrated with renewable energy resources. The traditional procedure to find the optimal solution utilizes nature-inspired metaheuristic optimization algorithms which exhibit performance drop in terms of high convergence rate and local optimal solution while handling uncertainties and nonlinearities in Hybrid Renewable Energy Systems (HRES). Thus, a novel hybrid model is presented in this research work using Deep Reinforcement Learning (DRL) with Quantum Inspired Genetic Algorithm (DRL-QIGA). The DRL in the proposed model effectively combines the proximal policy network to optimize power generation in real-time. The ability to learn and adapt to the changes in a real-time environment makes DRL to be suitable for the proposed model. Meanwhile, the QIGA enhances the global search process through the quantum computing principle, and this improves the exploitation and exploration features while searching for optimal solutions for the OPF problem. The proposed model experimental evaluation utilizes a modified IEEE 30-bus system to validate the performance. Comparative analysis demonstrates the proposed model’s better performance in terms of reduced fuel cost of $620.45, minimized power loss of 1.85 MW, and voltage deviation of 0.065 compared with traditional optimization algorithms.

Smart renewable energy harvesting has been implemented from hybrid sources such as solar and wind. The wireless sensor node is created for monitoring surface water. In the intelligent building, electrical energy is harvested from the hybrid source of solar and wind energy. The source energy was selected for the harvesting process by using a fuzzy controller. In this proposed method, piezo-electric reverse electro-wetting on di-electric energy harvesting is proposed where constant DC voltage is generated by a rectifier. A DC-DC converter is designed to power up the remote read-out sensor. The produced charge is transformed by a charge amplifier with the proportion of output voltage that is delivered to the wireless receiver. The harvested DC voltage varies with the temperature and external environmental effect. In our work, we obtained 6 × 10−3 W/m2 of voltage and this harvested energy is monitored using the Internet of Things (IoT) by the proposed EHOR (Energy Harvested Optimized Routing) algorithm.

Governments and energy providers all over the world are moving towards the use of renewable energy sources. Solar photovoltaic (PV) energy is one of the providers’ favourite options because it is comparatively cheaper, clean, available, abundant, and comparatively maintenance-free. Although the PV energy source has many benefits, its output power is dependent on continuously changing weather and environmental factors, so there is a need to forecast the PV output power. Many techniques have been employed to predict the PV output power. This work focuses on the short-term forecast horizon of PV output power. Multilayer perception (MLP), convolutional neural networks (CNN), and k-nearest neighbour (kNN) neural networks have been used singly or in a hybrid (with other algorithms) to forecast solar PV power or global solar irradiance with success. The performances of these three algorithms have been compared with other algorithms singly or in a hybrid (with other methods) but not with themselves. This study aims to compare the predictive performance of a number of neural network algorithms in solar PV energy yield forecasting under different weather conditions and showcase their robustness in making predictions in this regard. The performance of MLPNN, CNN, and kNN are compared using solar PV (hourly) data for Grahamstown, Eastern Cape, South Africa. The choice of location is part of the study parameters to provide insight into renewable energy power integration in specific areas in South Africa that may be prone to extreme weather conditions. Our data does not have lots of missing data and many data spikes. The kNN algorithm was found to have an RMSE value of 4.95%, an MAE value of 2.74% at its worst performance, an RMSE value of 1.49%, and an MAE value of 0.85% at its best performance. It outperformed the others by a good margin, and kNN could serve as a fast, easy, and accurate tool for forecasting solar PV output power. Considering the performance of the kNN algorithm across the different seasons, this study shows that kNN is a reliable and robust algorithm for forecasting solar PV output power.

The reliable operation of power systems while integrating renewable energy systems depends on Optimal Power Flow (OPF). Power systems meet the operational demands by efficiently managing the OPF. Identifying the optimal solution for the OPF problem is essential to ensure voltage stability, and minimize power loss and fuel cost when the power system is integrated with renewable energy resources. The traditional procedure to find the optimal solution utilizes nature-inspired metaheuristic optimization algorithms which exhibit performance drop in terms of high convergence rate and local optimal solution while handling uncertainties and nonlinearities in Hybrid Renewable Energy Systems (HRES). Thus, a novel hybrid model is presented in this research work using Deep Reinforcement Learning (DRL) with Quantum Inspired Genetic Algorithm (DRL-QIGA). The DRL in the proposed model effectively combines the proximal policy network to optimize power generation in real-time. The ability to learn and adapt to the changes in a real-time environment makes DRL to be suitable for the proposed model. Meanwhile, the QIGA enhances the global search process through the quantum computing principle, and this improves the exploitation and exploration features while searching for optimal solutions for the OPF problem. The proposed model experimental evaluation utilizes a modified IEEE 30-bus system to validate the performance. Comparative analysis demonstrates the proposed model's better performance in terms of reduced fuel cost of $620.45, minimized power loss of 1.85 MW, and voltage deviation of 0.065 compared with traditional optimization algorithms. [ABSTRACT FROM AUTHOR]

This study introduces a smart home load scheduling system that aims to address concerns related to energy conservation and environmental preservation. A comprehensive demand response (DR) model is proposed, which includes an energy consumption scheduler (ECS) designed to optimize the operation of smart appliances. The ECS utilizes various optimization algorithms, including particle swarm optimization (PSO), genetic optimization algorithm (GOA), wind-driven optimization (WDO), and the hybrid genetic wind-driven optimization (HGWDO) algorithm. These algorithms work together to schedule smart home appliance operations effectively under real-time price-based demand response (RTPDR). The efficient integration of renewable energy into smart grids (SGs) is challenging due to its time-varying and intermittent nature. To address this, batteries were used in this study to mitigate the fluctuations in renewable generation. The simulation results validate the effectiveness of our proposed approach in optimally addressing the smart home load scheduling problem with photovoltaic generation and DR. The system achieves the minimization of utility bills, pollutant emissions, and the peak-to-average demand ratio (PADR) compared to existing models. Through this study, we provide a practical and effective solution to enhance the efficiency of smart home energy management, contributing to sustainable practices and reducing environmental impact. [ABSTRACT FROM AUTHOR]

Numerous reviews are available in the literature on PV inverter topologies. These reviews have intensively investigated the available PV inverter topologies from their modulation techniques, control strategies, cost, and performance aspects. However, their compliance with industrial standards has not been investigated in detail so far in the literature. There are various standards such as North American standards (UL1741, IEEE1547, and CSA 22.2) and Australian and European safety standards and grid codes, which include IEC 62109 and VDE. These standards provide detailed guidelines and expectations to be fulfilled by a PV inverter topology. Adherence to these standards is essential and crucial for the successful operation of PV inverters, be it a standalone or grid-tied mode of operation. This paper investigates different PV inverter topologies from the aspect of their adherence to different standards. Both standalone and grid-tied mode of operation-linked conditions have been checked for different topologies. This investigation will help power engineers in selecting suitable PV inverter topology for their specific applications. [ABSTRACT FROM AUTHOR]

Bamboo is increasingly used as an alternative material for producing renewable and environmentally friendly products. Bamboo should be dried before use to increase its stability and improve its resistance against biodeterioration agents. The most common drying method for bamboo is through air-drying. Alternatively, artificial drying, such as solar drying, can produce optimum drying results regarding the drying rate and quality of bamboo throughput. This study investigated the potential utilisation of solar drying methods for processing local bamboo. The drying characteristics and physical and mechanical properties of solar-dried Gigantochloa levis bamboo culms' bottom, middle, and top sections were determined. The drying time of G. levis culm has been reduced to about 40 days compared to the conventional air drying of 70 days using the solar-assisted kiln dryer. Solar-dried culms have a lower final moisture content of 20% than air-dried ones. The average circumference and diameter shrinkage values of solar-dried G. levis culms from green to approximately 12% moisture content were 3.22% and 4.29%, respectively, and the wall thickness shrinkage was 8.12%. The mean values of modulus of rupture and modulus of elasticity of solar-dried G. levis culm were 63.75 and 12567.99 N mm-2, respectively, while its mean values of compression and shear parallel to fibre were 45.87 and 10.01 N mm-2, respectively. The quality of solar-dried G. levis culms produced in this study showed the viability of using a solarassisted kiln-dryer as a potential alternative processing method for drying local bamboo species in Malaysia. [ABSTRACT FROM AUTHOR]

In the Sun and solar-type stars, there is a critical dynamo number for the operation of a large-scale dynamo, below which the dynamo ceases to operate. This region is known as the subcritical region. Previous studies showed the possibility of operating the solar-like large-scale (global) dynamo in the subcritical region without a small-scale dynamo. As in the solar convection zone, both large- and small-scale dynamos are expected to operate at the same time and location, we check the robustness of the previously identified subcritical dynamo branch in a numerical model in which both large- and small-scale dynamos are excited. For this, we use the Pencil Code and set up an α Ω dynamo model with uniform shear and helically forced turbulence. We have performed a few sets of simulations at different relative helicity to explore the generation of large-scale oscillatory fields in the presence of small-scale dynamo. We find that in some parameter regimes, the dynamo shows hysteresis behavior, i.e., two dynamo solutions are possible depending on the initial parameters used. A decaying solution when the dynamo was started with a weak field and a strong oscillatory solution if the dynamo was initialized with a strong field. Thus, the existence of the sub-critical branch of the large-scale dynamo in the presence of small-scale dynamo is established. However, the regime of hysteresis is quite narrow with respect to the case without the small-scale dynamo. Our work supports the possible existence of large-scale dynamo in the sub-critical regime of slowly rotating stars. [ABSTRACT FROM AUTHOR]

Tomato fruit is a source of many important nutrients. It is difficult to store it for a long time because it contains a high percentage of moisture. The moisture content could be reduced in different ways to restrict the high growth of fungi. This study mainly aims to manufacture a simple and easy-to-use solar dryer for drying tomato fruits with solar cell-based fans. This method can be adapted to dry a wide range of Vegetables and fruits. The measured factors in this study are solar radiation, ambient temperature, relative humidity, and drying time. Solar drying is an affordable method to soothe the negative impact of post harvest losses on cultivators in Iraq. A greenhouse dryer (1 × 0.5 × 0.5 m) was constructed using glass of (τ = 0.9 for 0.4 μm < λ < 0.7 μm and τ = 0.01 for λ > 0.7 μm). Two fans are used to force an airstream with an average velocity of 0.025 m/s at the tray section. A selected quantity of tomato was washed and ground, making 1 kg of puree to check the effectiveness of the dryer. An experiment conducted on 10-11 March 2023 showed that 14 drying hours are needed to bring the paste to an acceptable quality of 0.25 brix. The efficiency of the greenhouse has not exceeded 25% on average, accompanied by an average drying rate of 60 g/hr. It was found that converting the perishable tomato crop into paste is profitable for cultivators in Iraqi conditions. Using a solar dryer is particularly profitable for local farmers by reducing crop losses, as per 1 m2 land area, a production of 6 kg of tomatoes is expected with losses of about 1 kg, and a profit of 6 thousand IQD and losses of 1 thousand IQD. A land area of 1 m2 with a dryer produces 3.6 kg of tomatoes converted into 1.008 kg tomato paste producing 15 thousand IQD without losses. [ABSTRACT FROM AUTHOR]

The telecommunication industry relies heavily on a reliable and continuous power supply. Traditional power sources like diesel generators have long been the backbone of telecom infrastructure. However, the growing demand for sustainable and eco-friendly solutions has spurred interest in renewable energy sources. Proton exchange membrane (PEM) fuel cell-based systems, integrated with solar and wind energy, offer a promising alternative. This review explores the potential of these hybrid systems in stationary telecom applications, providing a comprehensive overview of their architecture, energy management, and storage solutions. As the demand for telecommunication services grows, so does the need for a reliable power supply. Diesel generators are linked with high operational costs, noise pollution, and significant greenhouse gas emissions, prompting a search for more sustainable alternatives. This review analyzes the current state of PEM fuel cell systems in telecom applications, examines the architecture of microgrids incorporating renewable energy sources, and discusses optimization methods, challenges, and future directions for energy storage systems. Critical findings and recommendations are presented, highlighting objectives and constraints for future developments. Leveraging these technologies can help the telecom industry reduce fossil fuel reliance, lower operational costs, minimize environmental impact, and increase system reliability. [ABSTRACT FROM AUTHOR]

There is a paradox involved in the operation of photovoltaic (PV) systems; although sunlight is critical for PV systems to produce electricity, it also elevates the operating temperature of the panels. This excess heat reduces both the lifespan and efficiency of the system. The temperature rise of the PV system can be curbed by the implementation of various cooling strategies. These strategies fall under three categories: passive, active, and hybrid cooling, with similar objectives of regulating excess heat generation. Employing heat pipes can be an example of the passive method, while the use of forced circulation of water flow can represent an active method. A combination of energy storage and forced convection represents an example of hybrid cooling. Most of the research has two objectives, one to obtain higher PV efficiency and another to enhance the life span of the system. This review explores various cooling strategies employed by the researchers i.e., heat pipes, heat sink, air or water channels, water spray, use of phase change material, microchannel for coolant passage, thermoelectric (Peltier) modules. In general, for passive cooling techniques, efficiency enhancement of up to 44.12 % was obtained due to the temperature reduction of around 11 °C. In the case of active cooling techniques reported better performance with PV temperature reduction as high as 55 °C. Hybrid cooling also leads to some promising performance improvements. Characteristics and performance of various cooling methods are explained in this review to provide future researchers with valuable insight and direction. This could lead to much better improvements in these cooling techniques in the near future. [ABSTRACT FROM AUTHOR]

An experimental investigation is carried out to analyze the thermo-hydraulic characteristics of a triangular solar air heater duct having transverse ribs with gaps. The roughness parameters, such as non-dimensional pitch (̅P/e or) and non-dimensional height (̅e/Dh or) are kept in the range of 4.88-20 and 0.021-0.044, respectively. Reynolds number (Re) is kept in the range of 4000-18,000. Two and three gaps of each of 0.01 m are provided to each odd and even number ribs, respectively. Non-dimensional primary width (w1/W) and non-dimensional secondary width (w2/W) are kept constant at 0.29 and 0.4, respectively. A maximum heat transmission of 3.14 times that of the base model is achieved for the transverse ribs with gaps having non-dimensional pitch and height of 9.76 and 0.044, respectively, at Re = 18,000. In the parametric range, the highest friction factor of 3.88 times the base model is encountered for the non-dimensional pitch and height of 4.88 and 0.044, respectively, at Re = 4000. The highest thermal enhancement ratio of 2.31 is reported for the non-dimensional pitch and height of 9.76 and 0.044, respectively, at Re = 18,000. The correlation for the Nusselt number and friction factor is formulated, agreeing with experimental data within ±12% and ±8% deviation, respectively. [ABSTRACT FROM AUTHOR]

Smart renewable energy harvesting has been implemented from hybrid sources such as solar and wind. The wireless sensor node is created for monitoring surface water. In the intelligent building, electrical energy is harvested from the hybrid source of solar and wind energy. The source energy was selected for the harvesting process by using a fuzzy controller. In this proposed method, piezo-electric reverse electro-wetting on di-electric energy harvesting is proposed where constant DC voltage is generated by a rectifier. A DC-DC converter is designed to power up the remote read-out sensor. The produced charge is transformed by a charge amplifier with the proportion of output voltage that is delivered to the wireless receiver. The harvested DC voltage varies with the temperature and external environmental effect. In our work, we obtained 6 × 10−3 W/m² of voltage and this harvested energy is monitored using the Internet of Things (IoT) by the proposed EHOR (Energy Harvested Optimized Routing) algorithm. [ABSTRACT FROM AUTHOR]

Purpose of Review: Chronic inducible urticaria (CIndU) is a group of long-persisting and challenging to manage diseases, characterized by recurrent wheals and angioedema induced by definite triggers. In this review, we address recent findings on CIndU pathogenesis, diagnosis as well as its treatment, and we discuss novel potential targets that may lead to the development of more effective therapies for CIndU patients. Recent Advances: Meaningful advances in the understanding of its pathogenesis have been reported in the last decades. Novel CIndU-specific patient-reported outcome measures enable a closer and better evaluation of patients. Summary: CIndU is a hard-to-treat disease that highly impairs quality of life (QoL) of affected patients. Provocation tests allow to diagnose CIndU subtypes. The only licensed and recommended treatment for CIndU are second generation non-sedating H1-antihistamines, which lack efficacy in many cases. Omalizumab off-label use has been assessed in all types of CIndU with overall good outcomes. Promising emerging therapies currently assessed in chronic spontaneous urticaria are paving the path for novel treatments for CIndU [ABSTRACT FROM AUTHOR]

The aim of this work was to study the purification of silicon kerf loss waste (KLW) by a combination of single-acid leaching followed by inductive melting at high temperatures with an addition of fluidized bed reactor (FBR) silicon granules. The KLW indicated an average particle size (D50) of approximately 1.6 µm, and a BET surface area of 30.4 m2/g. Acid leaching by 1 M HCl indicated significant removal of impurities such as Ni (77%), Fe (91%) and P (75%). The combined two-stage treatment resulted in significant removal of the major impurities: Al (78%), Ni (79%), Ca (85%), P (92%) and Fe (99%). The general material loss during melting decreased with an increasing amount of FBR silicon granules which aided in the melting process and indicated better melting. It was observed that the melting behavior of the samples improved as the temperature increased, with complete melting being observed throughout the crucibles at the highest temperature (1800 °C) used, even without any additives. At lower temperatures (1600 °C–1700 °C) and lower FBR-Si (<30 wt.%) additions, the melting was incomplete, with patches of molten silicon and a lot of surface oxidation as confirmed by both visual observation and electron microscopy. In addition, it was indicated that more reactive and volatile elements (Ga, Mg and P) compared to silicon are partially removed in the melting process (51–87%), while the less reactive elements end up in the final silicon melt. It was concluded that if optimized, the combined treatment of single-acid leaching and inductive melting with the addition of granular FBR silicon has great potential for the recycling of KLW to solar cells and similar applications. Moreover, the application of higher melting temperatures is accompanied by a higher silicon yield of the process, and the involved mechanisms are presented. [ABSTRACT FROM AUTHOR]

This study presents an analysis of the influence of weather conditions on the performance of a multicrystalline silicon photovoltaic module, which operates under constant resistive load and is situated near a limestone quarry. The quarry is a significant source of dust, and hence the focus of the study is on the weather factors influencing the presence of soiling on the module's surface. The analysis encompasses a three-week period, during which the global horizontal irradiance and wind speed were recorded at 10-min intervals by an on-site weather station. The current, voltage, and back temperature of the module were also measured. Supplementary weather data were obtained from the Copernicus Atmosphere Monitoring Service and the NASA POWER databases. The primary objective is to assess whether any influence of the observed weather conditions on the presence of soiling can be inferred from the recorded data. The contribution is in part intended to test how different techniques can be used to extract useful information on the weather-related effects from somewhat limited data, assembled from various sources, while dealing with the underlying uncertainties. The analysis indicates a persistent deterioration of the module's performance because of soiling and its subsequent improvement due to a favourable weather event. [ABSTRACT FROM AUTHOR]

India is the world's largest user of groundwater for irrigation, with approximately 32 million pumps running on diesel, electric, and solar power. Subsidized electricity has led to an increase in the adoption of electric pumps by farmers, with increasing electrification rates and rising diesel costs contributing to the trend. Government subsidies have been instrumental in enhancing smallholder irrigation pump access. However, subsidies on irrigation pumps may exacerbate undesirable groundwater depletion. In smallholder settings where the capital needed to purchase irrigation equipment exceeds farmers' means, "irrigation-asa-service" and "rental pumps" with organized and affordable volumetric pricing could offer viable solutions. This policy brief provides key learnings on the Indian irrigation pump market and its policy and environmental implications, based on semi-structured interviews and secondary data collected. [ABSTRACT FROM AUTHOR]

There is considerable variation in research explaining household solar-panel investment, leading to mixed evidence regarding influences of income and capital. We provide analysis aiding interpretation of economic influences on solar-panel uptake in other studies. We conduct a meta-regression using 234 papers to provide analytical insights focusing on economic influences on solar-panel investment. We find that the research approach and context explain a range of income influences. More specifically, studies using household-level data are less likely to find negative income impacts compared to studies using aggregate data. Developing-country studies have been less likely to include income; but when income is included, developing-country studies have been more likely to find a significant link from income to solar-panel uptake. Capital (e.g., asset) impacts are nearly always positive and significant when included, but only 22 percent of analyzed studies included a relevant variable. Our concluding policy discussion suggests greater focus on assets for means testing. JEL Classification : D10, Q40, Q48, Q50 [ABSTRACT FROM AUTHOR]

Perovskite-based solar cells have recently gained attention as a potentially viable option to replace conventional photovoltaic technologies, offering high efficiency and low cost. In this work, we present a numerical simulation of ITO/TiO2/MAPbI3/OMeTAD solar cell under Silvaco TCAD Tools; the devices exhibit a high efficiency of 27.42 %, 0.3 A/W spectral response at 580 nm optical wavelength. The device is studied under different parameter variations such as: HLT material variation (spiro-OMeTAD, Silicon, PEDOT:PSS and carbon fiber), doping effect of the Sprio layer on IV curves and performance under temperature variation (25-300 °C). Overall, this study highlights the potential of perovskite materials in the development of photovoltaic technologies and the accuracy of Silvaco-Atlas in predicting their performance and efficiency. [ABSTRACT FROM AUTHOR]

It is predicted that the ground water sources which are currently termed as sustainable will also begin to deteriorate, and this may lead to the degradation of the cropland and may severely affect food production, smooth colonial expansion and also damage the balance of ecosystem. Since 2011, much of the interest has been laid upon the concepts of Ecohydrology, which dwells upon the interconnectivity of ecosystem and hydrology. This study emphasises on the recycling of waste water and desalination of sea water. Among various desalination techniques, humidification–dehumidification (HDH) technique, using solar energy as the heat source for evaporation of salt water, has gathered attention in recent years. A conventional solar reflector HDH desalination plant requires a humidifier, where saline water is fed and made to evaporate in running air, when drizzled through nozzles and passed through the jute surface, which will be further reduced due to a fan which will be installed at the end of a humidifier region. Therefore, there will be enhancement in vapour formation and then sent to a dehumidifier where pure water is separated from moist air through condensation. The proposed unit in which latent heat can be recovered, which may yield 20 L/day on floor area of 2 m2 and adopting jute as filling in humidifier. The latent heat that is extracted from the moist air may be further utilised in the preheating of the saline water. Here, a prediction model was developed over data collected for 25 days and net gain obtained from the experimentation will be used to calculate gained output ratio. A preliminary parametric study to explore the technical feasibility of the HDH reveals that a fixed bed column filled with EDTA provides a longer working duration to assure the overall system's performance and to remove surplus salt. [ABSTRACT FROM AUTHOR]

This study aims to use solar energy-based pyrolysis to convert biomass from corn crop residues into biofuels, such as liquid and solid fuels. Bio-oil and biochar assessments were accomplished with high levels of success. Their suitability as fuel candidates was determined based on techniques like gas chromatography-mass spectroscopy, thermogravimetric analysis, Fourier transform infrared spectroscopy, etc. It was discovered that the utmost outcome of 23% of bio-oil was produced at an average reactor temperature of 220–310 °C. The ultimate analysis revealed that the biomass comprises 27.78% oxygen, 0.52% sulfur, 5.6% nitrogen, 58.5% carbon, and 7.6% hydrogen. The bio-oil was found to have a high percentage of hydrogen (56.62%), carbon (5.255%), and nitrogen (2.27%) with an average chemical composition of CH1.11N0.06O0.47. The bio-oil consists of 1.11% of carbon to hydrogen and 0.47% oxygen to carbon showing its suitability for use as an alternative to conventional petroleum products in engines. The biochar yield was 27%, making it suitable for agriculture as they are rich in nutrients for crops. The esters and ethers in biochar FTIR are visible in the spectrum between 850 and 1120 cm−1. On the other hand, the aromatics group is indicated by the range between 850 and 400 cm−1. [ABSTRACT FROM AUTHOR]

With the development of energy technology, hydrogen is gradually becoming widely used. China is also rapidly developing its own hydrogen energy industry in an effort to accomplish the "dual carbon target'. Hydrogen from methane is one of the mainstream sources, of which hydrogen from methane cracking is the decomposition of methane into hydrogen and solid carbon, with the solid carbon also having a high economic value. In particular, this technology does not emit carbon dioxide, which is very friendly to the environment, but it cannot avoid larger energy consumption. In contrast, hydrogen production from methane cracking driven by solar energy not only combines the characteristics of no CO 2 emission, but also greatly reduces the consumption of primary energy, which is the future development trend of hydrogen production from methane. This paper provides a brief overview of the various technological pathways for methane to hydrogen production in the context of China's actual development, focusing on the current status of the development and application of solar methane cracking to hydrogen production technologies at home and abroad. Among them, this paper mainly discusses the characteristics of solar reactors of different sizes and structures, and summarizes the results of related optimization studies. Meanwhile, the application of catalysts in solar reactors and the problem of carbon deposition are analyzed, and the practical application of solar methane cracking hydrogen production system is outlined. Finally, the future development of solar methane cracking hydrogen production technology is prospected from the national situation of China. [Display omitted] • Solar methane cracking for hydrogen can reduce emissions and energy consumption. • The current state of research on solar reactors is summarized. • Solar methane cracking requires higher performing catalysts. • Providing insights into the future development of solar methane cracking in China. [ABSTRACT FROM AUTHOR]

Long-duration energy storage is the key challenge facing renewable energy transition in the future of well over 50% and up to 75% of primary energy supply with intermittent solar and wind electricity, while up to 25% would come from biomass, which requires traditional type storage. To this end, chemical energy storage at grid scale in the form of fuel appears to be the ideal option for wind and solar power. Renewable hydrogen is a much-considered fuel along with ammonia. However, these fuels are not only difficult to transport over long distances, but they would also require totally new and prohibitively expensive infrastructure. On the other hand, the existing natural gas pipeline infrastructure in developed economies can not only transmit a mixture of methane with up to 20% hydrogen without modification, but it also has more than adequate long-duration storage capacity. This is confirmed by analyzing the energy economies of the USA and Germany, both possessing well-developed natural gas transmission and storage systems. It is envisioned that renewable methane will be produced via well-established biological and/or chemical processes reacting green hydrogen with carbon dioxide, the latter to be separated ideally from biogas generated via the biological conversion of biomass to biomethane. At the point of utilization of the methane to generate power and a variety of chemicals, the released carbon dioxide would be also sequestered. An essentially net zero carbon energy system would be then become operational. The current conversion efficiency of power to hydrogen/methane to power on the order of 40% would limit the penetration of wind and solar power. Conversion efficiencies of over 75% can be attained with the on-going commercialization of solid oxide electrolysis and fuel cells for up to 75% penetration of intermittent renewable power. The proposed hydrogen/methane system would then be widely adopted because it is practical, affordable, and sustainable. [ABSTRACT FROM AUTHOR]