Global Goals Research Articles

Balancing conservation and development for achieving land degradation neutrality

The loss of biodiversity has risen dramatically in the face of a global emergency and worsened by human activities which involves habitat destruction, pollution, and climate change. Biodiversity is essential for sustainable development, supporting ecosystem services crucial for agriculture, forestry and climate regulation. These services are threatened by biodiversity loss, which also has an impact on world cultural heritage, economic stability and human well-being. Moreover, a decline in biodiversity exacerbates the effects of climate change, undermining ecosystem resilience and making food poverty worse. Achieving Land Degradation Neutrality (LDN), a global goal to stop and reverse land degradation through sustainable land management techniques, depends on effective biodiversity protection. LDN projects aim to balance restoration efforts against deterioration in order to preserve or improve land-based natural capital. This chapter highlights the biophysical and socioeconomic factors driving land degradation, including unsustainable agricultural practices, urbanization and climate change impacts. It underscores the importance of integrated approaches that consider ecological, social and economic dimensions in achieving LDN. Principles such as respecting human rights, promoting good governance, and engaging stakeholders are critical for successful LDN implementation. This chapter emphasizes the need for global cooperation and policy reforms to mitigate biodiversity loss, combat land degradation and ensure sustainable land use practices for future generations.

Cellulose Nanocrystal-in-Solvent Processing for Efficient One-Pot Upcycling of Commercial Polymeric PFAS.

Upcoming regulations aim to ban per- and polyfluoroalkyl substances (PFAS), including commercial polymeric PFAS, or fluoropolymers, such as poly(tetrafluoroethylene) (PTFE) and poly(vinylidene fluoride) (PVDF), due to their environmental and toxicological impacts. However, fluoropolymers also provide crucial properties for clean energy transitions, and their regulation may hinder further technological advancements. Therefore, a facile one-pot recycling-upcycling strategy for fluoropolymers using inexpensive biomass, such as cellulose nanocrystals (CNCs), as absorbents and cocomponents for fluoro-functionalized composites could align with global sustainability goals and technological demands. Herein, we present a closed-loop CNC-in-solvent (CiS) processing system, which involves stirring fluoropolymers and CNCs in only low-polarity solvents like toluene (CiS-T). Our study reveals that CiS-T is a two-step process where the CNC-solvent interaction exposes CNCs' reducing end aldehyde protons due to solvent polarity and promotes H-F bond formation. The solvent used was recollected and reused. Additionally, we demonstrate the practical application of PTFE- and PVDF-CNC hybrids, byproducts of the CiS-T process, as performance-enhancing agents in green-energy-harvesting devices such as triboelectric nanogenerators. Our findings not only offer a sustainable method to overcome challenges from regulations against commercial fluoropolymers but also offer insights into developing an efficient, solvent-mediated CNC functionalization process that addresses forthcoming challenges in key industries.

Light-driven nitrogen fixation routes for green ammonia production.

The global goal for decarbonization of the energy sector and the chemical industry could become a reality by a massive increase in renewable-based technologies. For this clean energy transition, the versatile green ammonia may play a key role in the future as a fossil-free fertilizer, long-term energy storage medium, chemical feedstock, and clean burning fuel for transportation and decentralized power generation. The high energy-intensive industrial ammonia production has triggered researchers to look for a step change in new synthetic approaches powered by renewable energies. This review provides a comprehensive comparison of light-mediated N2 fixation technologies for green ammonia production, including photocatalytic, photoelectrocatalytic, PV-electrocatalytic and photothermocatalytic routes. Since these approaches are still at laboratory scale, we examine the most recent developments and discuss the open challenges for future improvements. Last, we offer a technoeconomic comparison of current and emerging ammonia production technologies, highlighting costs, barriers, recommendations, and potential opportunities for the real development of the next generation of green ammonia solutions.

A quantitative framework for measuring sustainable development goals in mining operations

The growing concern over the environmental and social impacts of mining activities has increased interest in evaluating the alignment of mining practices with global sustainability goals. This study provides an in-depth examination of five major Iranian mining complexes including: GolGohar, Sarcheshmeh, Sungun, Zarshuran, and Sangan, and their adherence to the Sustainable Development Goals (SDGs), which encompass a broad spectrum of environmental, social, and economic challenges. The study employs a novel methodology to quantify and assess the degree of alignment between these mining complexes and the SDGs. The SDGs were systematically categorized into three key areas: environmental sustainability, social and economic well-being, and responsible operations and partnerships. The performance of each mining complex within these categories was evaluated using targeted questions and a set of indicators, providing a holistic view of both strengths and areas needing improvement. The findings revealed significant challenges in environmental sustainability, particularly in climate action and clean energy, with Sungun achieving the highest scores and Zarshuran the lowest. In social and economic well-being, progress was evident in poverty reduction and education, though concerns persisted in gender equality and healthcare access, where GolGohar led and Zarshuran lagged behind. Responsible operations and partnerships showed successes in industry innovation, yet there was a need for greater focus on sustainable urban development and partnerships. Zarshuran excelled in this area, while Sungun exhibited the weakest performance. Overall, the study highlights the need for substantial improvements in environmental practices and social inclusion across all complexes, including the top-performing GolGohar, to better align the mining sector with the SDGs and foster a more responsible and inclusive industry.

Exploring small-scale direct air capture in a building ventilation system: a case study in Linköping, Sweden

Direct Air Capture (DAC) technologies have emerged as a promising solution to address climate change and meet global climate goals. However, despite the importance of DAC in designing carbon-negative buildings, there is a lack of research focusing on the energy and cost aspects in building ventilation systems. The objective of this research is to investigate the CO2 capture potential and economic viability of integrating small-scale DAC into a building ventilation system integrated within a gym space. A gym space located in the city of Linköping, Sweden, is used as the research object. Furthermore, the study investigates the CO2 capture potential across a portfolio of gym spaces corresponding to an area of 24,760 m2. The results show that the CO2 capture potential varies between 54 kg/day and 83 kg/day for the investigated gym space. Moreover, the total CO2 capture potential is between 588 ton CO2/year and 750 ton CO2/year for the portfolio of gym spaces. The results also demonstrate that regenerating the sorbent during non-operating hours is more energy-efficient and economically advantageous compared to performing four complete regeneration cycles during operating hours. Based on a sorbent capture potential of 0.2 mmol/g and 2.0 mmol/g, and a CO2 price of 1,000 SEK, the break-even price for energy is 0.25–0.53 SEK/kWh. Lastly, the research shows that, among the investigated cases, the only economically viable solution corresponds to sorbent capture potential 2.0 mmol/g and utilizing low-grade heat for the generation process, resulting in a total cost of 663 SEK/ton CO2.

Towards Sustainable Biomass Conversion Technologies: A Review of Mathematical Modeling Approaches

The sustainable utilization of biomass, particularly troublesome waste biomass, has become one of the pathways to meet the urgent demand for providing energy safety and environmental protection. The variety of biomass hinders the design of energy devices and systems, which must be highly efficient and reliable. Along with the technological developments in this field, broad works have been carried out on the mathematical modeling of the processes to support design and optimization for decreasing the environmental impact of energy systems. This paper aims to provide an extensive review of the various approaches proposed in the field of the mathematical modeling of the thermochemical conversion of biomass. The general focus is on pyrolysis and gasification, which are considered among the most beneficial methods for waste biomass utilization. The thermal and flow issues accompanying fuel conversion, with the basic governing equations and closing relationships, are presented with regard to the micro- (single particle) and macro-scale (multi-particle) problems, including different approaches (Eulerian, Lagrangian, and mixed). The data-driven techniques utilizing artificial neural networks and machine learning, gaining increasing interest as complementary to the traditional models, are also presented. The impact of the complexity of the physicochemical processes and the upscaling problem on the variations in the modeling approaches are discussed. The advantages and limitations of the proposed models are indicated. Potential options for further development in this area are outlined. The study shows that efforts towards obtaining reliable predictions of process characteristics while preserving reasonable computational efficiency result in a variety of modeling methods. These contribute to advancing environmentally conscious energy solutions in line with the global sustainability goals.

Evaluating Microgrid Investments: Introducing the MPIR Index for Economic and Environmental Synergy

In view of the increasing environmental challenges and the growing demand for sustainable energy solutions, the optimization of microgrid systems with regard to economic efficiency and environmental compatibility is becoming ever more important. This paper presents the Microgrid Performance and Investment Rating (MPIR) index, a novel assessment framework developed to link economic and environmental objectives within microgrid configurations. The MPIR index evaluates microgrid configurations based on five critical dimensions: financial viability, sustainability, regional renewable integration readiness, energy demand, and community engagement, facilitating comprehensive and balanced decision making. The current cases focus on the area of Greece; however, the model can have a wider application. Developed using a two-target optimization model, this index integrates various energy sources—including photovoltaics, micro-wind turbines, and different types of batteries—with advanced energy management strategies to assess and improve microgrid performance. This paper presents case studies in which the MPIR index is applied to different microgrid scenarios. It demonstrates its effectiveness in identifying optimal configurations that reduce the carbon footprint while maximizing economic returns. The MPIR index provides a quantifiable, scalable tool for stakeholders, not only advancing the field of microgrid optimization, but also aligning with global sustainability goals and promoting the transition to a more resilient and sustainable energy future.

Impact of logistics pooling on reduction of CO2 emissions in last-mile logistics

Purpose In previous years, there has been a peak in deliveries from all sectors. Consequently, the number of transport vehicles on urban roads has also increased. Unsurprisingly, this increase leads to many environmental problems, including increased carbon emissions. This paper attempts to examine this issue by addressing the impact of logistics pooling on the reduction of CO2 emissions in last-mile logistics. The aim is to see which of the logistics pooling options can minimize more CO2 emissions and in particular reach the threshold fixed by the Moroccan Agency of Logistics Development which is 30% until 2030.Design/methodology/approach The author conducted a simulation study. The sample was chosen from the economic pillar of the Moroccan Kingdom, namely Casablanca.Findings The results indicate that two pooling strategies lead to a higher level of environmental performance compared to the objective set up by the Moroccan Agency of Logistics Development (Direct Upstream and Downstream Transport: 44.39%/Multi-pick Upstream Transport and Multi-drop Downstream Transport: 30.93%). However, the first strategy remains the best one, as it not only minimizes emissions but also reflects the practices already implemented by several carriers and logistics service providers.Practical implications Successfully implementing these strategies in Casablanca could serve as a model for other cities facing similar challenges, demonstrating the viability and benefits of logistics pooling. Ultimately, the reduction in CO2 emissions aligns with global environmental goals, contributing to the fight against climate change and promoting a healthier urban environment for residents. By leveraging simulation technology, Casablanca can make significant strides toward more sustainable and efficient last-mile logistics, setting a precedent for green urban logistics practices.Originality/value Given Morocco’s significant geostrategic position, the urban logistics sector plays a crucial role in the development of Arab countries. The findings of this study can offer valuable insights for policymakers aiming to achieve sustainable economic growth. Additionally, to the author’s knowledge, this is the first study to focus on logistics pooling and carbon emissions in Arab nations. The paper further contributes by highlighting important directions for future research.

Artificial Intelligence Integration and Social Innovation: Interdisciplinary Research Trends Aligned with the Sustainable Development Goals

This study investigates the integration of Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), and Prompt Engineering into the social sciences and their impact on collaborative networks, thematic developments, and research trends aligned with the Sustainable Development Goals (SDGs). Utilizing bibliometric analysis and topic modeling, the research analyzes a dataset of 389 publications from the Web of Science (WoS) database, spanning the last decade. The findings highlight significant growth in interdisciplinary research at the intersection of these technologies and social sciences, with notable contributions in management, business, and environmental studies. Key themes identified include AI-driven innovation in product development, energy sector advancements, and the role of AI in educational and healthcare settings. The study underscores the transformative potential of AI in driving sustainable development, while also emphasizing the importance of addressing ethical considerations and ensuring responsible implementation. This research contributes to a deeper understanding of how AI and related technologies are reshaping the social sciences and their role in achieving global sustainability goals.

The potential of solid waste as a viable replacement for quartz sand in the ultra-high performance concrete: a comprehensive review

ABSTRACT Ultra-high performance concrete (UHPC) is renowned for its dense structure and exceptional mechanical properties, including durability. However, its widespread adoption is hindered by the high costs of essential fine aggregates like quartz sand and the associated environmental impact. Additionally, using industrial solid waste raises pollution concerns, contradicting global sustainability goals. Numerous studies have shown that it is feasible to produce eco-friendly UHPC with excellent performance by solid waste. This comprehensive review thoroughly investigates the workability, mechanical properties (including compressive strength, flexural strength and tensile strength), microstructure (encompassing pore structure and interfacial transition zone) and durability of UHPC incorporating solid waste in its production. The paper emphasizes the critical influence of factors, such as the solid waste substitution rate and the physical and chemical properties of solid waste. The paper also outlines the current application of UHPC with solid waste in pavement engineering and highlights the urgent need to address challenges such as high production costs, the lack of design standards and construction technique deficiencies, thereby emphasising the urgency surrounding the design and advancement of solid waste-incorporated UHPC in pavement engineering as it can reduce the environmental impact of traditional UHPC and improve the efficient use of solid waste.

Determinants of livelihood diversification in an integrated agricultural and non-agricultural livelihood system in Ghana

The diversification of livelihoods by households has been widely acknowledged as a way to overcome food insecurity and poverty challenges in developing countries. Diversification of livelihoods helps spread the risk among multiple livelihood earning activities to provide households with a range of their food needs all year round. By examining the integrated livelihood systems of 405 rural farm households in the Upper East Region of Ghana, empirical evidence is provided in this study using the Sustainable Livelihoods Framework to advance arguments in the literature for the creation of sustainable strategies that improve diversified livelihood systems. The mean diversification indices estimated were 0.45 for agricultural diversification systems, 0.32 for non-agricultural diversification systems and 0.59 for integrated agricultural and non-agricultural diversification systems. With the use of the Cragg two-step regression model, we demonstrate that the decision to diversify and the extent of diversification of rural livelihoods are distinct decisions and are influenced by distinct sets of factors. Similarly, for the three categories of livelihood diversification studied, the effect of these factors also differed. The results emphasize the significance of access to good road network, credit and market information in encouraging rural farm households to diversify their livelihoods. In the short term, improving access to credit and market information through community-based initiatives can provide immediate support to rural households. Communities should also organize local markets and cooperatives to strengthen their economic resilience. While government and stakeholders should focus on long-term infrastructure projects, these community actions can complement such efforts and contribute to achieving global and regional goals targeting food insecurity and poverty eradication.

Insights into Drug Donation Practices and Public Perceptions in Saudi Arabia

Background: Effective medication management, disposal, and donation are vital for public health and environmental sustainability. Improper handling of medications can lead to drug misuse, accidental poisoning, and environmental damage. This study examines current practices and challenges in Saudi Arabia, identifying opportunities for improvement. Method: A cross-sectional survey conducted in October and November 2023 targeted the general population in Saudi Arabia. This study employed convenience sampling to explore medication usage, storage, disposal practices, and awareness of donation procedures. Data were analyzed through both descriptive and inferential statistical methods. Results: This study involved 430 respondents. Of these, 73.0% held a university degree, yet 66.3% were unaware of drug donation programs, and 84.2% lacked knowledge about proper medication disposal. Despite this, 71.4% believed that drug donation programs positively impact healthcare, and 87.9% saw them as reducing drug waste and environmental pollution. However, 48.1% expressed concerns about the potential misuse of donated medicines. Awareness and knowledge were significantly higher among participants aged 30 and above. Conclusions: The findings highlight the need for enhanced public awareness, clear medication disposal guidelines, and ethically governed donation practices in Saudi Arabia. These measures can improve healthcare outcomes, protect the environment, and support global health and sustainability goals.

Food loss analysis in Nigeria: A systematic literature review

The issue of food loss and waste is a complex one that must be addressed if sustainable food systems are to be achieved. In the Global South, as evidenced by Nigeria, two paradoxical trends can be observed. Firstly, substantial losses of arable crops occur during the production and distribution stages. Secondly, Nigeria is affected by food scarcity, which is in part a consequence of losses occurring at these stages. In terms of food availability, Nigeria ranks 26th among African countries. In light of this context and the government's expressed interest in identifying sustainable solutions to this problem, a systematic review was conducted with the objective of consolidating the fragmented studies on food loss in the region. This review provides a foundation for understanding the causes of food loss, the preventive and reduction strategies required, and for identifying promising areas for future research. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Checklist 2020. Following the application of inclusion and exclusion criteria, 23 studies were selected for review. A thematic synthesis was employed to integrate and examine the findings of the studies. The findings indicated that maize, rice, and cassava continued to be the most prevalent food crops in Nigeria, with cultivation occurring across the entire country. We differentiate the critical loss points for different crops, which arise between the production and distribution stages. In conclusion, this review reveals that food loss in Nigeria is a multifaceted issue requiring integrated solutions that address the natural, social, and material dimensions. Further empirical research, especially qualitative studies that focus on the perspectives and practices of food system actors, is essential for developing effective interventions and policies. This approach will help achieve sustainable development of food systems and advance global food security goals.

The influence of message frame and product type on green consumer purchase decisions : an ERPs study

Green consumption is a crucial pathway towards achieving global sustainability goals. Product-oriented green advertisements can effectively stimulate consumers’ latent needs and convert them into eventual purchasing intentions and behaviors, thereby promoting green consumption. Given that neuromarketing methods facilitate the understanding of consumers’ decision-making processes, this study combines prospect theory and need fulfillment theory, employing event-related potentials (ERPs) as measures to explore changes in consumers’ cognitive resources and emotional arousal levels when confronted with green products and advertising information. This enables inference regarding consumers’ acceptance of purchasing and their psychological processes. Behavioral results indicated that message framing influences consumers’ purchases, with consumers consuming more green in response to negatively framed advertisements. EEG results indicated that matching positive framing with utilitarian green products was effective in increasing consumers’ cognitive attention in the early cognitive stage. In the late stage of cognition negative frames stimulated consumers’ mood swings more, and the influence of product type depended on the role of message frames, and the consumption motivation induced by the product, whose influence was overridden by external evaluations such as message frames. These research findings provide an explanation for the impact of frame information on consumers’ purchasing decisions at different stages, assisting marketers in devising diverse promotional strategies based on product characteristics to foster the development and practice of green consumption. This will further embed the concept of green consumption advocated by organizations such as the United Nations Environment Programme (UNEP), World Wildlife Fund (WWF), and Greenpeace into the public consciousness.

Energy transition in the oil and gas sector: Business models for a sustainable future

The global energy landscape is undergoing a significant transformation as industries shift towards more sustainable practices, driven by environmental regulations, societal pressure, and technological advancements. The oil and gas sector, traditionally dependent on fossil fuels, is at the forefront of this energy transition. This review explores the evolving business models that facilitate the industry's transition to a low-carbon economy, focusing on strategies for achieving sustainability while maintaining profitability. Key approaches include diversifying energy portfolios by investing in renewable energy sources such as wind, solar, and hydrogen, as well as enhancing operational efficiency through digital technologies like artificial intelligence and the Internet of Things (IoT). The transition is also marked by an increased focus on carbon capture, utilization, and storage (CCUS) technologies, which mitigate the environmental impact of traditional oil and gas operations. Business models are being reshaped to incorporate circular economy principles, where waste and emissions are minimized through innovation and resource optimization. Furthermore, partnerships between oil and gas companies and renewable energy firms are emerging as a critical pathway for mutual growth and sustainability. This energy transition also involves rethinking the workforce and reskilling employees for emerging sectors, emphasizing the need for adaptability in business models. Regulatory frameworks play a pivotal role in shaping these models, as policies increasingly favor green investments and low-carbon initiatives. As oil and gas companies diversify their portfolios, they are creating new revenue streams that align with global decarbonization goals while ensuring financial resilience. This study highlights how these innovative business models are setting the foundation for a sustainable future in the oil and gas sector, ensuring that the industry remains relevant in a rapidly changing energy ecosystem. Keywords: Energy Transition, Oil and Gas, Business Models, Sustainability, Renewable Energy, Carbon Capture, Circular Economy, Digital Transformation, Decarbonization, Low-Carbon Economy.

Identification and Spatial Characterization of suburban areas in Chengdu

As transitional territories where urban and rural functions interpenetrate, suburban areas have multiple values such as recreation, ecology, agriculture and landscape. Promoting their benign development is the key to realizing global sustainable development of urban and rural areas. Planning control is based on precisely defining the spatial extent of suburban areas, and understanding suburban area differentiation and its driving forces scientifically is a key component in raising the bar for focused planning. However, there are currently few research on fine-scale quantitative identification of suburban regions because of their spatial complexity, ambiguous boundaries, and structural dynamic features. Based on this, this paper develops a multi-dimensional identification index system for suburban areas by using multi-source big data and remote sensing information technology, employs the random forest model and the K-Medoids clustering algorithm, identifies the distribution of suburban areas and their subdivided types, analyzes spatial differentiation characteristics, and conducts empirical research using Chengdu City as an example. The findings demonstrate that: (1) The majority of suburban areas in Chengdu City are concentrated in groups or belts surrounding the urban centers of various districts and counties, and the higher the functional class of a district or county, the denser the distribution of suburban areas. (2)The distribution pattern of suburban areas in Chengdu basically conforms to its planned urban hierarchy system.(3)Urban-oriented, suburban-interacted and rural-oriented suburban areas have their own characteristics in land use level, economic development and regional population characteristics.(4)Regional openness, government behavior, social development and geographical location are the core driving factors of spatial differentiation of suburban areas in Chengdu, and the interaction between urban and rural systems, the flow of social resources and the transformation of development models are the spatial mapping dimensions that affect its differentiation.(5)Chengdu can draw up detailed regulatory planning of suburban units to standardize and guide the overall development of suburban areas. In support of the global sustainable development goals, this study offers a methodology for precisely and impartially defining suburban areas, assisting in the implementation of integrated urban-rural development globally.

Negotiating the Climate Long-Term Global Goal

Abstract Global goals play a catalyzing role in orienting efforts to address climate change. Yet, the negotiation of the main goal in climate governance is understudied. This article aims to fill this gap by examining the negotiation, adoption, and refinement of the United Nations Framework Convention on Climate Change’s (unfccc) Long-Term Global Goal (ltgg), from the late 1970s to date. I gather insights from semi-structured interviews with climate governance experts, the scientific literature, and official documentation to highlight the developments that shaped the ltgg over time. The study shows that agential, ideational, normative, structural, and contextual factors co-interacted in negotiating, adopting, and refining the ltgg. Drawing lessons from the ltgg experience, the manuscript contributes to knowledge on the politics of global goals, international negotiations, climate governance, and, more broadly, international relations, diplomacy, and global environmental politics.

OPTIMIZING ENERGY EFFICIENCY: A COMPREHENSIVE ANALYSIS OF BUILDING DESIGN PARAMETERS

This study explores the critical role of financial incentives, energy performance certifications, government policies, and advanced technologies in driving the adoption of energy-efficient building practices. Financial incentives, such as tax credits, rebates, and grants, are shown to significantly reduce the upfront costs associated with energy-efficient technologies, making these innovations more accessible to developers and building owners. The research highlights the effectiveness of energy performance certifications, like LEED and Energy Star, in enhancing the market value and energy performance of buildings by providing a structured framework for evaluating sustainability. Government policies and building codes, including the International Energy Conservation Code (IECC) and ASHRAE standards, are identified as key drivers of energy efficiency, compelling developers to meet stringent performance standards. Additionally, the integration of renewable energy technologies, such as solar panels and geothermal heat pumps, alongside smart building automation systems, plays a vital role in reducing energy consumption and improving operational efficiency. However, regional disparities in the availability of financial incentives and enforcement of policies present challenges to widespread adoption. The study concludes that expanding financial support, strengthening policy enforcement, and increasing public and industry awareness of the long-term financial and environmental benefits of energy-efficient buildings are essential for accelerating the transition to sustainable building practices. By addressing these challenges, the construction industry can make significant strides toward reducing energy consumption, lowering greenhouse gas emissions, and achieving global sustainability goals.

CURRENT TRENDS IN PHOTOVOLTAIC THERMAL (PVT) SYSTEMS: A REVIEW OF TECHNOLOGIES AND SUSTAINABLE ENERGY SOLUTIONS

This systematic review explores advancements and challenges in photovoltaic thermal (PVT) systems, focusing on efficiency improvements, cooling mechanisms, material innovations, Internet of Things (IoT) integration, and cost and environmental considerations. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 45 articles were analyzed to provide a comprehensive understanding of current trends and future directions in PVT technology. Findings reveal that cooling mechanisms, particularly liquid-based and nanofluid-based systems, are essential for maintaining high PVT efficiency under diverse environmental conditions. Material advancements, including phase change materials (PCMs) and nanotechnology, have enhanced thermal management and energy storage capabilities, yet their high costs and environmental impacts remain significant barriers to broader adoption. IoT and smart grid integration have transformed PVT system functionality by enabling real-time monitoring, predictive maintenance, and energy flow adjustments within connected energy networks. However, persistent challenges—including high initial investment costs, environmental concerns related to materials, and the need for adaptable designs—highlight areas for future research. Advancements in adaptive materials, sustainable cooling solutions, and digital automation are essential for developing cost-effective, resilient PVT systems that contribute to global renewable energy goals. This review provides a foundation for future research to address the identified challenges and maximize the potential of PVT systems in sustainable energy production.

A hierarchical adaptive federated reinforcement learning for efficient resource allocation and task scheduling in hierarchical IoT network

The increasing demand for processing numerous data from IoT devices in a hierarchical IoT network drives researchers to propose different resource allocation methods in the edge hosts efficiently. Traditional approaches often compromise on one of these aspects: either prioritizing local decision-making at the edge, which lacks global system insights or centralizing decisions in cloud systems, which raises privacy concerns. Additionally, most solutions do not consider scheduling tasks at the same time to effectively complete the prioritized task accordingly. This study introduces the hierarchical adaptive federated reinforcement learning (HAFedRL) framework for robust resource allocation and task scheduling in hierarchical IoT networks. At the local edge host level, a primal–dual update based deep deterministic policy gradient (DDPG) method is introduced for effective individual task resource allocation and scheduling. Concurrently, the central server utilizes an adaptive multi-objective policy gradient (AMOPG) which integrates a multi-objective policy adaptation (MOPA) with dynamic federated reward aggregation (DFRA) method to allocate resources across connected edge hosts. An adaptive learning rate modulation (ALRM) is proposed for faster convergence and to ensure high performance output from HAFedRL. Our proposed HAFedRL enables the effective integration of reward from edge hosts, ensuring the alignment of local and global optimization goals. The experimental results of HAFedRL showcase its efficacy in improving system-wide utility, average task completion rate, and optimizing resource utilization, establishing it as a robust solution for hierarchical IoT networks.