Sustainable Energy Solutions Research Articles

Breaking through the State-of-the-Art Frontier in Oxygen Electrocatalysis: Geometry Adaptive Catalysts (GACs)

The grand challenge in oxygen electrocatalysis lies in overcoming scaling relations. The theoretical activity volcano positions the ideal catalyst at the apex. However, the OH–OOH scaling relation determines a linear path on the volcano surface that limits the activity. The current state-of-the-art (SOTA) in modeling confirms this scaling relation, at the same time it hinders the experimental development of novel oxygen reduction reaction (ORR) catalysts, impeding progress in sustainable energy solutions. To address this challenge, we propose to use the geometry effect and introduce the concept of Geometry Adaptive Catalysts (GACs).[1]The geometry effect, based on preliminary research, involves changing catalytic activity by adjusting the adsorption energy of intermediates through the control of catalyst geometry. Our goal is to break through the SOTA frontier for ORR by synthesizing GACs and supporting our efforts with theoretical and computational modeling of the geometric effect. In this work we aimed to utilize the geometry effect by synthesizing GACs with various controlled structures, including specific intersite distances, and variable curvature. This enables precise control of catalyst geometry, allowing manipulation of catalytic activity and overcoming scaling relations. Key geometric parameters, namely inter-site distance, curvature, and specific stabilizations of ORR intermediates, are explored to test our hypothesis: Controlling catalyst geometry adjusts the ORR mechanism and adsorption energies of intermediates, enabling the switching, pushing, and even bypassing of scaling relations.This approach holds promise for substantial improvements in environmental sustainability and human life quality, with broad applicability to various electrocatalytic reactions beyond ORR.

Sustainable Modification of Naturally Available Resources for Metal-Ion Storage Applications

The adoption of naturally abundant resources for energy storage applications represents a pivotal strategy in advancing large-scale sustainable green energy solutions across diverse sectors. This presentation provides an overview of E2MC's approaches to the green modification of naturally occurring materials at a low cost, focusing on their metal-ion energy storage capabilities. Key natural materials discussed include molybdenum disulfides (MoS2), ilmenite and natural graphite minerals, as well as corn waste. (a) The thermal oxidation of MoS2 is explored as a straightforward and effective method to produce layer-structured molybdenum trioxide (α-MoO3) with crystalline defects, showing enhanced Li-ion storage kinetics. The molten salt treatment of MoS2 produces sodium dimolybdate with improved Li-ion and Na-ion storage performances. Additionally, a hybrid nanostructure comprising metastable monoclinic molybdenum trioxide (β-MoO3), hexagonal MoS2 secondary crystals and graphene nanosheets is produced through mechanochemical-molten salt treatment. This hybrid structure exhibits an interesting Li-ion storage performance. (b) Carbonization of largely available corn lignocellulosic waste in the presence of molten salt is discussed as a facile approach for the preparation of biocarbons with appropriate specific surface area, pore volume, and elemental carbon purity. The partial dissolution of biomass impurities into the molten salt enhances the Li-ion and Na-ion storage performance of the biocarbon. Additionally, the treatment of corn-derived silica with Fe2O3 and graphite-derived graphene nanosheets, leads to the preparation of a nanostructure in which ferric oxide particles are coated with iron silicate, and these hybrid nanostructures are integrated with graphene nanosheets, showcasing an interesting Li-ion storage performance. (c) Efficient exfoliation of naturally available graphite minerals in molten salt is introduced leading to the formation of carbon nanostructures with promising applications in both Li-ion and Na-ion storage. The economic and strategic advantages associated with utilizing such naturally available resources for energy storage applications are also discussed. References W. Zhu, A.R. Kamali*, J. Alloy Compd. 932 (2023) 167724W. Zhu, A.R. Kamali*, J Alloy Compd. 968 (2023) 171823A.R. Kamali*, H. Zhao, J. Alloy Compd. 949 (2023) 169819W. Zhu, A.R. Kamali*, J. Alloy Compd. 831(2020) 154781H. Zhao, A. Rezaei, A.R. Kamali*, J. Electrochem. Soc. 169 (2022) 054512A.R. Kamali*, J. Ye, Miner. Eng. 172 (2021) 107175S. Li, A.R. Kamali*, Chem. Eng. Sci. 265 (2023) 118222S. Li, A.R. Kamali*, Gels 9 (2023) 701S. Li, A.R. Kamali*, Colloids Surf. A 656 (2023) 130275H. Fu, A.R. Kamali* et al, Chem. Eng. J. (2023) 146936W. Zhu, A.R. Kamali*, J. Electrochem. Soc. 168 (2021) 046517

Enhancing Microkinetic Modeling for CO2 Reduction Reaction: Integrating Electrolyte Effects

In the current landscape of escalating global environmental challenges, the development of sustainable energy solutions has become increasingly critical. A pivotal area in this endeavor is the carbon dioxide reduction reaction (CO2RR) technology, which holds the promise of converting CO2, a major greenhouse gas, into valuable chemicals and fuels. The intricate nature of CO2RR, characterized by complex reaction pathways and a plethora of intermediates, presents significant scientific and engineering challenges. Key to surmounting these challenges is the accurate and comprehensive modeling of CO2RR processes. However, traditional computational models often overlook a crucial aspect – the influence of electrolyte interactions with CO2RR intermediates. This omission leads to models that inadequately capture the true dynamics of the electrochemical environment, resulting in less accurate predictions. In this work, we introduce CatEnergy, a Python module that enhances our existing microkinetic modeling tool, CatMAP[1], focusing on CO2RR. CatEnergy specifically addresses the complexity of CO2RR by integrating electrolyte interaction data. This integration enables a more accurate representation of the electrochemical environment, improving the predictive power and efficacy of CO2RR models. By generating essential electrolyte interaction data for microkinetic modeling, it facilitates more effective catalyst design and optimization of reaction conditions. This development is key in advancing the accuracy of microkinetic modeling for CO2RR and underscores our commitment to sophisticated tool development in sustainable energy research. [1] Medford, A. J. et al. CatMAP: A Software Package for Descriptor-Based Microkinetic Mapping of Catalytic Trends. Catal. Lett. 145, 794–807 (2015).

Fabrication of Nano-Carbon-Based Sustainable Perovskite Solar Cells

The rising need for sustainable energy solutions has fuelled considerable research into novel technologies that harness solar energy for efficient and scalable energy storage. Carbon nanotubes (CNTs) have emerged as feasible candidates for these applications due to their unique properties, such as high surface area, better electrical conductivity, and chemical stability.This report focuses on the design and fabrication of cost-effective nano-carbon-based perovskite solar cells (PSCs) and discusses their potential for clean energy generation and storage. This experimental study shows a novel technique to increase the sustainability the conventional fluorine-doped tin oxide (FTO) substrate with an Indium Tin Oxide (ITO) derived from electronic waste and incorporating nanocarbon based-graphene with solution-based techniques. This addition serves as a good basis for the ITO coating, aids charge transport in the perovskite solar cell, and promotes uniform covering maximum electrical conductivity, and transparency. Being the transparent conducting electrode, the CNTs is infused with the upcycled ITO coated glass and was included in the perovskite solar cell architecture, which replaces the traditional ITO electrode, lowering material costs, and improving the circular economy for energy storage devices, and a cleaner energy future.The ITO extraction process entails recovering indium and tin from mobile phones using an environmentally friendly and economical chemical etching process using hydrochloric acid (HCl) to remove the ITO layer. To ensure the purity and structural integrity of the ITO nanoparticles, they were rigorously characterized using X-ray diffraction, scanning electron microscopy, and energy-dispersive X-ray spectroscopy. After depositing a perovskite- CNTs precursor solution on the ITO layer glass substrate, the light-absorbing layer was annealed. Electron transport and hole-blocking layers were then deposited utilizing solution processing techniques using the PEDOT: PSS and metal electrodes were deposited to complete the device manufacturing. The current-voltage (J-V) relationship was used to compute the open-circuit voltage, short-circuit current density, fill factor (FF), and power conversion efficiency (PCE) of a solar cell. Electrical characterization allow for the calculation of solar cell performance metrics such as short-circuit current (Isc), short-circuit current density (Jsc), and open-circuit voltage (Voc). These findings imply that employing e-waste-derived ITO on graphene substrates to create high-efficiency perovskite solar cells is a realistic option. This research provides a sustainable and cost-effective method for producing high-performance perovskite solar cells by eco-friendly upcycling e-waste for ITO extraction, addressing the critical issue of e-trash management. Keywords Perovskite solar cells, CNTs, sustainable energy, energy conversion.

Comparative simulation of green finance-driven oil production and expulsion: Technological innovation with Expulsinator and traditional pyrolysis in near-natural conditions

This study explores the impact of green finance and technological innovation on oil production and expulsion by comparing the Expulsinator with traditional pyrolysis methods. The Expulsinator introduces a novel approach to simulating compound production and expulsion in natural settings, utilizing hydrous decomposition in an open pass-on mode and lithostatic compression on an intact starting point disc with an undamaged mineral framework and chemical kerogen network. In contrast, traditional decomposition methods, while valuable for assessing production dynamics, are less suitable for studying primary emigration and expulsion due to sampling damage, improper pressure settings, closed-mode burning, or waterless pyrolysis. This study aims to assess the efficacy of energy production and expulsion emulation by the Expulsinator, driven by green finance initiatives, and compare it with traditional decomposition methods. Production and evacuation behaviors were evaluated using Rock Evaluation pyrolysis, HyPy, and covered small container pyrolysis (CSVP). The Expulsinator exhibited higher asphalt discharge than CSVP, attributed to increased bitumen cross-linking during traditional pyrolysis, which favors pyrobitumen formation. Variations in alkane quantities and structures were observed due to ejection impacts and production dynamics, especially delayed ejection from chromatography. Expulsinator hydrous CSVP ratios remained at 65 %, while TOC ratios exceeded 81 %. Lower gas production was observed compared to CSVP, with higher Expulsinator TOC conversion explained by the rapid removal of produced products in the open setup to prevent reformation. The Expulsinator provides valuable data on oil and gas production suitable for computational modeling tasks, highlighting the role of green finance and technological innovation in advancing sustainable energy solutions.

Application of the image‐well method for transient borehole thermal energy storage systems with complex boundaries

AbstractThis study introduces a new analytical framework that employs the image‐well method to simulate the spatial and temporal temperature distribution in vertical borehole thermal energy storage (BTES) systems. The model accommodates complex boundary shapes and conditions, including insulation, convection, and constant temperature, without requiring iterative solutions at each time step. The model's accuracy and utility are demonstrated through an application to a borehole heat exchanger cluster arranged in an octagonal shape with insulating boundaries, based on a BTES site in Drake Landing (Canada). Model predictions are validated against a finite element model, showing a root‐mean‐square error of 0.012°C. A global sensitivity analysis highlights the influence of thermal parameters on system performance, identifying the heat flux of the borehole heat exchanger as the most sensitive parameter. Overall, this approach combines the advantages of analytical and numerical techniques to provide a clear and efficient tool for evaluating BTES systems, offering significant potential for advancing sustainable energy solutions.

Techno-economic assessment and transient modeling of a solar-based multi-generation system for sustainable/clean coastal urban development

To ensure the health of vulnerable coastal ecosystems, a transition to sustainable energy solutions is essential. Environmentally friendly systems powered by renewable sources offer not only a reduction in pollution but also the adaptability needed for a flexible and resilient energy future. This study proposes and comprehensively evaluates an integrated solar-based system designed to meet the daily needs of coastal cities. The proposed system incorporates key components such as dual-loop power cycles, parabolic trough solar collectors, liquefied natural gas (LNG) regasification, reverse osmosis, and proton exchange membrane electrolysis. To optimize energy utilization, the inclusion of a thermoelectric generator (TEG) is considered, harnessing the thermal gradient among the LNG stream and the power cycle fluid. We conduct transient modeling, incorporating comprehensive scenarios that account for both thermal and economic aspects. The performance evaluation of the system focuses specifically on coastal regions, with San Francisco serving as a case study. The dynamic simulation results demonstrate the capability of the integrated system in fulfilling the urban needs for one year, delivering 1,134,207 cubic meters of potable water and generating 11,306 MWh of electricity. Financial analysis reveals that the solar unit accounts for over 46 % of the total cost, with an hourly cost rate of $69.61. The levelized cost of electricity is predicted at 4.61 cents/kWh, while the levelized cost of water is calculated at 30.54 cents/m3. These findings provide valuable insights into the cost-effectiveness and competitive advantage of the system in terms of energy and water production.

Determining the binding mechanism of B12N12(Zn) with CH4, CO, CO2, H2O, N2, NH3, NO, NO2, O2, and SO2 gases

In this study, an exploration of molecular interactions between CH4, CO, CO2, H2O, N2, NH3, NO, NO2, O2, SO2 gas molecules and B12N12(Zn) nanocage is conducted using advanced computational techniques, ωB97XD/Def2tzvp, unraveling fundamental behaviors. Employing global optimization methods and sophisticated tools like the bee colony algorithm in ABCluster software, the research offers insights into energy adsorption processes, confirming molecular stability through DFT calculations. The determination of electrophilicity index values through conceptual DFT analysis sheds light on relative reactivity levels and charge transfer phenomena, emphasizing that in some cases the nanocage's role as a potential electron acceptor. Natural bond analysis of charge transfer direction and valence shell orbital interactions enriches understanding, supported by comprehensive parameter compilation and critical point visualization. Further confirmation of interaction types and strengths through G(r)/V(r) ratios and ELF values enhances comprehension through quantum theory of atoms in molecule analysis. Ultimately, this study contributes significantly to computational chemistry, laying foundations for molecular design and engineering advancements. It sets the stage for future progress in materials science and catalysis, promising innovation in sustainable energy solutions and technological development.

Synthesis and characterization of azo cross‐linked polymer as a new catalyst for the production of hydrogen gas by methanolysis of NaBH4

AbstractThe intensive use of fossil fuels has profound impacts on all ecosystems, primarily contributing to global warming through greenhouse gas emissions. To mitigate these impacts, alternative energy sources like hydrogen are crucial. In this study, azo cross‐linked polymer with 4‐aminophenyl sulfone and resorcinol were synthesized by a green synthesis method. The polymer was extensively characterized by Fourier‐transform infrared spectroscopy, Brunner‐Emmett‐Teller analysis, thermogravimetric analysis, and scanning electron microscopy‐energy dispersive x‐ray spectroscopy analyses. Subsequently, the catalytic performance of the polymer in hydrogen production from NaBH4 via methanolysis was investigated. At this stage, the parameters affecting hydrogen production (catalyst and NaBH4 amounts, MeOH volume and temperature) were systematically studied to determine optimum conditions. The maximum HGR values of the polymer was 13,100 and 27,000 mL min−1 gcat−1 at 30 and 60°C, respectively and its activation energy was 10.45 kJ mol−1. After optimization, the reusability of azo polymer was tested with 5 cycles. The theoretical volume of hydrogen was produced in all 5 cycles. But with each cycle, the hydrogen production time increased. The main purpose of this study was to demonstrate novel azo‐linked polymers with high catalytic activity in hydrogen production. The results revealed significant potential of the polymer for hydrogen generation. Overall, this research highlights the promising role of azo cross‐linked polymers as effective catalysts for hydrogen production, offering new perspectives and pathways towards sustainable energy solutions.

Hybrid solar drying of sludge from kraft pulp mills

Abstract Sludge generated from kraft pulp mill wastewater treatment plants (WWTPs) is typically non-inert solid waste and is commonly disposed of in landfills. In this study, a novel approach for repurposing WWTP sludge from a kraft pulp mill in Brazil for energy generation was assessed. With the global cellulose market projected to reach $ 61 billion by 2033, there is a growing need for sustainable energy solutions and disposal of associated industrial byproducts. This study investigated the performance of a hybrid active solar dryer for reducing the moisture content of sludge to enhance the feasibility of sludge burning in a biomass boiler. Through rigorous experimentation and design of experiments (DOE) planning, optimal parameters for the hybrid dryer were determined, specifically, a volumetric airflow rate of 1.1 m/s and an entrance temperature of approximately 51 °C. This innovative approach not only addresses the environmental concerns associated with sludge disposal, but also contributes to the broader goal of advancing sustainable technologies in the midst of global energy challenges.

Life cycle sustainability assessment of waste-to-electricity plants for 2030 power generation development scenarios in western Lombok, Indonesia under multi-criteria decision-making approach

Globally, the dual challenges of power shortages and waste management underscore the critical need for innovative and sustainable energy solutions. Addressing these issues is essential for achieving environmental sustainability, economic development, and social well-being. This paper proposes an integrated life cycle sustainability assessment (LCSA) of waste-to-electricity (WtE) technologies for the future energy mix in Western Lombok, Indonesia which strongly faces power shortage and waste management challenges. The proposed LCSA assesses three WtE technologies, including gasification, incineration, and landfill gas (LFG) with 5 environmental, 3 social, and 4 economic indicators to estimate the final sustainability score under a multi-criteria decision-making framework. Also, a comparative analysis from the LCSA perspective for different WtE technologies, along with coal, and diesel power plants is conducted as a decision support tool in the 2030 power capacity development scenarios. To indicate the effectiveness and flexibility of the proposed model, the robust decision-making analysis using different important weights on sustainability aspects is investigated. Results show LFG is the most sustainable technology among all options scoring around 0.78. However, coal with a levelized cost of 0.42 $/MWh, and diesel with a payback period of 1.75 years are much more economical options for western Lombok. Sensitivity analysis proves that electricity price is a key parameter strongly affecting the final sustainability score. If supportive policies are adopted associated with electricity produced from WtE, this technology can experience a 16.2 % increase, making it an economic option for Lombok in the future.

Study of a Novel Updraft Tower Power Plant Combined with Wind and Solar Energy

This study presents a novel solar updraft tower power plant (SUTPP) system, which has been designed to achieve the simultaneous utilization of solar and wind energy resources in desert regions, in response to the pressing demand for sustainable and efficient renewable energy solutions. The aim of this research was to develop an integrated system that is capable of harnessing and converting these abundant energy sources into electrical power, thereby enhancing the renewable energy portfolio in arid environments. The methodology of this study involved the design and construction of a prototype SUTPP, comprising a 53 m high tower, a 6170 m2 collector, five horizontal-axis wind turbines, and a thermal energy storage layer made up of pebbles and sand. The experimental setup was meticulously detailed, and experiments were conducted to collect data on the system’s performance under various environmental conditions. Subsequently, three-dimensional numerical simulations were performed to explore the effects of ambient wind speed and solar radiation on the output power of the SUTPP. The results indicate that the output power of the system increases with the increase in ambient wind speed and solar radiation. The impact of solar irradiation on output power was observed to diminish as ambient wind speeds increased. Notably, as the inlet wind speed rose from 4 m/s to 12 m/s, the output power showed a substantial increase of 727%. The numerical simulations revealed that ambient wind speed has a more pronounced effect on power output compared to solar radiation. Furthermore, it was found that the influence of solar radiation is significant at low wind speeds, with its impact decreasing as wind speed increases. This research provides essential guidance for the design and engineering of highly efficient solar thermal energy utilization projects, representing a significant advancement in the field of renewable energy technology deployment in desert environments.

Trends and Challenges after the Impact of COVID-19 and the Energy Crisis on Financial Markets

This review aims to examine the impact of increasing energy costs on the global economy, social cohesion, economic growth, and capital markets, with a particular focus on the consequences of the COVID-19 pandemic and the energy crisis intensified by the war in Ukraine. The methodology involves an extensive review of recent academic literature to cast light on these impacts. The study identifies significant disruptions in supply chains and heightened volatility in international capital markets due to these crises. Furthermore, the findings highlight the resulting challenges for policymakers, academics, market analysts, and professionals in addressing corporate sustainability in an increasingly uncertain environment. This paper underscores the continued relevance of energy issues as a central concern, both independently and in connection with broader economic sectors. Additionally, it discusses the importance of policy measures to enhance energy security and the transition towards sustainable energy solutions to mitigate these challenges and foster economic resilience.

Evaluation of renewable energy technologies in Colombia: comparative evaluation using TOPSIS and TOPSIS fuzzy metaheuristic models

The study investigates the weighting and hierarchization of renewable energy sources in specific geographical regions of Colombia using the TOPSIS and Diffuse TOPSIS metaheuristic models. 5 regions were analyzed, two of them with different scenarios: Caribbean 1 and 2, Pacific 1 and 2, Andean, Amazonian and Orinoquia. The results reveal significant differences in the evaluation of technologies between the two models. In the Caribbean 1, Diffuse TOPSIS gave a higher score to Solar Photovoltaics, while TOPSIS favored Hydropower. In the Caribbean 2, Solar Photovoltaic obtained similar scores in both models, but Wind was rated better by TOPSIS. In the Pacific Region 1, Biomass and large-scale Hydropower led according to both models. In the Pacific 2, Solar Photovoltaic was better evaluated by TOPSIS, while Wind was preferred by Diffuse TOPSIS. In the Andean Region, large-scale hydroelectric and Solar photovoltaic plants obtained high scores in both models. In the Amazon, Biomass led in both models, although with differences in scores. In Orinoquia, Solar Photovoltaic was rated higher by both models. The relevance of this research lies in its ability to address not only Colombia's immediate energy demands, but also in its ability to establish a solid and replicable methodological framework. The application of metaheuristic methods such as TOPSIS and TOPSIS with fuzzy logic is presented as a promising strategy to overcome the limitations of conventional approaches, considering the complexity and uncertainty inherent in the evaluation of renewable energy sources. By achieving a more precise weighting and hierarchization, this study will significantly contribute to strategic decision-making in the implementation of sustainable energy solutions in Colombia, serving as a valuable model for other countries with similar challenges.

Intelligent Solar System for Effective Renewable Energy

Photovoltaic (PV) systems are gaining popularity as a sustainable and renewable energy solution. Charge controllers play a crucial role in maximizing the energy harvested from PV panels and ensuring efficient battery charging. This study presents a comprehensive comparison between Pulse Width Modulation (PWM) and Maximum Power Point Tracking (MPPT) charge controllers, analyzing their performance, efficiency, and suitability for different PV system configurations. The analysis begins with an overview of PWM charge controllers, which regulate the charging process by rapidly switching the PV panel voltage on and off. PWM controllers are known for their simplicity, affordability, and reliability. However, their fixed voltage operation limits their ability to extract maximum power from the PV panels, especially in scenarios with varying solar irradiance and temperature conditions. In contrast, MPPT charge controllers employ advanced algorithms to continuously track the maximum power point (MPP) of the PV panels. By dynamically adjusting the operating voltage and current, MPPT controllers can optimize the power transfer from the PV panels to the battery bank. This capability results in higher energy harvesting, especially in situations with partial shading or non-ideal operating conditions.

Environmental protection and sustainable waste-to-energy scheme through plastic waste gasification in a combined heat and power system

By utilizing plastic waste as a feedstock for gasification and integrating a solid oxide fuel cell, this system has the potential to not only generate electricity and heat efficiently but also reduce environmental pollution by converting waste materials into valuable energy resources. This research explores a combined heat and power system that integrates polystyrene waste gasification with a solid oxide fuel cell technology. The study thoroughly examines and optimizes the system's performance through the application of response surface methodology. Higher steam to plastic waste ratio improves the power production (from 244.1 to 246 kW) and mitigates the emission (from 785.4 to 761.3 kg/MWs). Enhanced power (from 86.25 to 337 kW, representing an impressive improvement of approximately 291 %) and heating (from 172.6 to 275.3 kW, marking a substantial improvement of approximately 59.5 %) are achieved at higher current densities. At a current density of 3200–3600 A/m² and a temperature of 1020–1040 K, the system can achieve 200–240 kW power, 390–450 g/s heating value, and 840–860 kg/MWs emissions. Further optimization at a steam to plastic ratio of 0.95–1.1 and 1030–1040 K temperature can improve performance to 280–300 kW power, 580–600 g/s heating value, and 840–860 kg/MWs emissions. The study provides valuable insights into the potential benefits of integrating plastic waste gasification with solid oxide fuel cell technology, highlighting the importance of sustainable energy solutions in addressing environmental challenges. Moving forward, further research in this area could lead to the development of more efficient and environmentally friendly energy systems.

Biomimetic MOFs/GO membranes with enhanced charge density for osmotic power generation

Osmotic power generation is a renewable energy technology that harnesses energy from the natural mixing of freshwater and saltwater, offering a promising solution for sustainable energy. However, it is still a challenge to achieve high energy output without compromising scalability and stability. Herein, inspired by the nano-constrained dynamics of neuronal cell transmembrane transport, an anodic oxidation electrodeposition method is employed to fabricate metal organic frameworks (MOFs) within 2D graphene oxide (GO) layers. The in-situ integration of high-density charges within nanometer pore with 0.34 nm entrance of MOFs facilitates rapid and selective cation transport, which significantly increases the diffusion voltage (363.8 mV, 106 fold concentration gradient). Our device demonstrates a maximum output power of 6.82 μW under a 10 fold concentration gradient at a load resistance of 5000 Ω, possessing an energy conversion efficiency of 48.8% at an effective area of 12.56 mm2, which substantially surpasses the performance reported before. More importantly, the device performs exceptionally well, showing robust and stable performance. This is proven by its ability to power various electronic devices. These findings underscore the potential of biomimetic ion channel membranes in sustainable energy applications, offering a promising avenue for the broader field of energy harvesting technologies.

Optimization and design to catalyze sustainable energy in Morocco’s Eastern Sahara: A hybrid energy system of PV/Wind/PHS for rural electrification

This paper conducts a comprehensive assessment of the potential of water, solar, and wind resources for sustainable energy generation. The study is situated in a Moroccan region within eastern Saharan Africa. It presents a detailed comparative analysis between a photovoltaic system (PV) integrated with a pumped hydro storage (PHS), a wind turbine, and a conventional grid, considering both energy production and economic analysis using HOMER software. Moreover, the paper provides an initial social impact assessment of hybrid energy systems integrating locally available water resources, especially during the winter season, alongside photovoltaic and wind technologies. This evaluation delves into aspects of rural electrification and community development. The findings underscore the potential of sustainable energy solutions to drive economic and social progress in the studied area by harnessing the region’s water resources. We proposed this technology because the owners of the area do not greatly benefit from the seasonal groundwater that passes through the valley, despite the presence of a dam. Accordingly, we will exploit this water to generate energy and achieve energy self-sufficiency. By harnessing this underutilized resource, we aim to provide sustainable energy solutions and drive economic and social progress in the region. The results given by HOMER identify the most cost-effective system capable of serving the load at the lowest cost of energy (COE) of about $0.03831 and net present cost (NPC) of about $262,596 under the modeled conditions, and the most satisfactory system chosen by the HOMER optimizer is a PV/Wind/PHS-based hybrid energy system.

Investigating and predicting the role of photovoltaic, wind, and hydrogen energies in sustainable global energy evolution

The global shift toward next-generation energy systems is propelled by the urgent need to combat climate change and the dwindling supply of fossil fuels. This review explores the intricate challenges and opportunities for transitioning to sustainable renewable energy sources such as solar, wind, and hydrogen. This transition economically challenges traditional energy sectors while fostering new industries, promoting job growth, and sustainable economic development. The transition to renewable energy demands social equity, ensuring universal access to affordable energy, and considering community impact. The environmental benefits include a significant reduction in greenhouse gas emissions and a lesser ecological footprint. This study highlights the rapid growth of the global wind power market, which is projected to increase from $112.23 billion in 2022 to $278.43 billion by 2030, with a compound annual growth rate of 13.67%. In addition, the demand for hydrogen is expected to increase, significantly impacting the market with potential cost reductions and making it a critical renewable energy source owing to its affordability and zero emissions. By 2028, renewables are predicted to account for 42% of global electricity generation, with significant contributions from wind and solar photovoltaic (PV) technology, particularly in China, the European Union, the United States, and India. These developments signify a global commitment to diversifying energy sources, reducing emissions, and moving toward cleaner and more sustainable energy solutions. This review offers stakeholders the insights required to smoothly transition to sustainable energy, setting the stage for a resilient future.

A comprehensive analysis of real options in solar photovoltaic projects: A cluster-based approach

Solar photovoltaic (PV) projects are pivotal in addressing climate change and fostering a sustainable energy future. However, the complex landscape of renewable energy investments, characterized by high upfront costs, market uncertainties, and evolving technologies, demands innovative evaluation methods. The Real Options Approach has emerged as a powerful tool, offering strategic flexibility in decision-making under uncertainty. This paper comprehensively analyzes the application of real options for evaluating solar photovoltaic projects in 2008–2023. Analysis of document descriptors (author keywords, index keywords, and noun phrases extracted from titles and abstracts) reveals that the dominant research topics in the last ten years (2014–2023) include investment optimization, strategic analysis, energy policy, optimization of energy generation and investments in wind energy. These descriptors are used to analyze the evolution of research interests on a two-year basis and reveal the yearly evolution of the research topics. Finally, the concept of emergence is used to unveil emerging research trends, providing valuable insights for researchers and practitioners in the renewable energy sector. Ultimately, this work contributes to a deeper understanding of how real options analysis empowers decision-makers to make informed choices in advancing clean and sustainable energy solutions.