Energy Demand Research Articles

Advancing flexible thermoelectrics for integrated electronics.

With the increasing demand for energy and the climate challenges caused by the consumption of traditional fuels, there is an urgent need to accelerate the adoption of green and sustainable energy conversion and storage technologies. The integration of flexible thermoelectrics with other various energy conversion technologies plays a crucial role, enabling the conversion of multiple forms of energy such as temperature differentials, solar energy, mechanical force, and humidity into electricity. The development of these technologies lays the foundation for sustainable power solutions and promotes research progress in energy conversion. Given the complexity and rapid development of this field, this review provides a detailed overview of the progress of multifunctional integrated energy conversion and storage technologies based on thermoelectric conversion. The focus is on improving material performance, optimizing the design of integrated device structures, and achieving device flexibility to expand their application scenarios, particularly the integration and multi-functionalization of wearable energy conversion technologies. Additionally, we discuss the current development bottlenecks and future directions to facilitate the continuous advancement of this field.

Perspectives of dimethyl ether (DME) as a transitional solvent for enhanced oil recovery (EOR)

The rapidly increasing global demand for energy poses a significant challenge for the oil and gas industries, necessitating a delicate balance between meeting this demand and reducing greenhouse gas (GHG) emissions. In this context, identifying a method that can effectively convert or utilize GHGs while simultaneously enhancing energy efficiency is crucial. Converting GHG into liquid solvent for enhanced oil recovery (EOR) appears to be an efficacious strategy. Herein, dimethyl ether (DME) as a renewable solvent from GHG capture and utilization with its cyclic pathways is proposed, where a) DME production begins with the capture and conversion of GHGs, potentially resulting in a zero-carbon production process through the integration of renewable energy sources and carbon capture technologies; b) DME acts as a versatile fuel that can be blended with conventional fuels or used in its pure form in engines, substantially reducing transportation emissions due to DME's low carbon content and clean burning characteristics; c) DME's distinctive oil-water phase behavior significantly enhances its efficacy in both heavy oil thermal recovery and light oil water flooding processes; d) the solubility of DME in water mitigates solvent losses, thereby promoting more efficient subsurface and surface solvent recovery operations; and e) DME can be hydrolyzed to produce hydrogen, making it a viable transitional fuel. This perspective concludes by discussing the challenges and opportunities in the energy field to guide future research. These prospects include a) elucidating the renewable and functional properties of DME in innovative EOR mechanisms; b) providing strategic insights for the oil industry on emission reductions in upstream transportation, EOR, and post-EOR solvent recovery through a comprehensive DME pathway; and c) exploring the potential of DME as a transitional solvent for GHG reduction and hydrogen production within the broader context of the energy transition.

The impact of renewable and non-renewable energy consumption on aggregate output in Pakistan: robust evidence from the RALS cointegration test.

Over the past three decades, Pakistan's energy consumption has surged due to industrialization, population growth, and development activities. To meet the escalating energy demands, the country has primarily relied on thermal power projects, which are financially burdensome and environmentally detrimental, compared to hydropower projects. This reliance exposes Pakistan to global oil price shocks and environmental degradation. To address this dilemma, this empirical research investigates the impact of both non-energy factors (labour and capital) and energy-specific factors (renewable and non-renewable) on Pakistan's aggregate output, using annual time-series data from 1980 to 2021. The analysis employs the newly established Residual Augmented Least Square (RALS) cointegration test and the Autoregressive Distributed Lag (ARDL) methodology to estimate the long-term cointegrating relationship among the examined variables. The empirical findings demonstrate that both non-energy and energy-specific factors positively and significantly influence Pakistan's long-term aggregate output. However, petroleum consumption exerts a positive but insignificant influence on Pakistan's long-term aggregate output. The study recommends diversifying the energy supply mix to include more hydroelectricity, non-hydroelectric renewables (mainly solar and wind), and natural gas. Specifically, transitioning from imported, expensive, and more greenhouse gas (GHG)-generating petroleum products to domestically produced natural gas could potentially reduce Pakistan's trade deficit and its vulnerability to global oil price shocks. Besides the economic benefits, shifting from non-renewable energy sources (specifically oil) to renewable energy would enhance Pakistan's image and increase its geopolitical influence over neighboring countries. Additionally, the study emphasizes the need to encourage private sector participation in renewable energy projects and suggests implementing effective carbon tax policies to mitigate CO2 emissions and foster economic growth.

Breast cancer cell derived exosomes reduces glycolysis of activated CD8 + T cells in a AKT-mTOR dependent manner.

Cytotoxic CD8+ T cells plays a pivotal role in the adaptive immune system to protect the organism against infections and cancer. During activation and response, T cells undergo a metabolic reprogramming that involves various metabolic pathways, with a predominant reliance on glycolysis to meet their increased energy demands and enhanced effector response. Recently, extracellular vesicles (EVs) known as exosomes have been recognized as crucial signaling mediators in regulating the tumor microenvironment (TME). Recent reports indicates that exosomes may transfer biologically functional molecules to the recipient cells, thereby facilitate cancer progression, angiogenesis, metastasis, drug resistance, and immunosuppression by reprogramming the metabolism of cancer cells. This study sought to enlighten possible involvement of cancer-derived exosomes in CD8 + T cell glucose metabolism and discover a regulated signalome as a mechanism of action. We observed reduction in glucose metabolism due to downregulation of AKT/mTOR signalome in activated CD8 + T cells after cancer derived exosome exposure. In-vivo murine breast tumor studies showed better tumor control and antitumor CD8 + T cell glycolysis and effector response after abrogation of exosome release from breast cancer cells. Summarizing, the present study establishes an immune evasion mechanism of breast cancer cell secreted exosomes that will act as a foundation for future precision cancer therapeutics.

High-performance porous activated carbon derived from Acacia catechu bark as nanoarchitectonics material for supercapacitor applications

BackgroundThe increasing energy demands stemming from the extensive utilization of portable electronic devices are creating a huge energy deficit between demand and supply. In this scenario, it is not only sufficient to pursue and innovate the new renewable energy sources but also requires an ideal device for energy storage and conversion. MethodsIn this work, activated carbon (AC) was prepared from matured bark of Acacia catechu through a series of steps; pre-carbonization, carbonization, and activation. The AC was synthesized at different temperatures (400–800 °C) under inert atmosphere, using orthophosphoric acid as an activator. As-prepared sample (ACBH) was characterized by well-known characterization techniques. Energy storage capability was assessed in terms of Cyclic voltammetry, Galvanostatic charge-discharge, Electrochemical impedance, and Cyclic stability by three-electrode setup. Significant findingsThe ACBH-8 sample demonstrated superior electrochemical performance compared to other samples. The sample ACBH-8, as Negatrode, exhibited a specific capacitance of 282.4 F g−1 at 0.5 A g−1 and retained 95.4 % cyclic stability under 10,000 cycles. The excellent energy storage performance by green-class negatrode materials from the bio-waste substance empowers commercial applications.

Enhancing Building Stability and Seismic Resilience with Water-Added Tuned Mass Dampers

These days, the construction industry is increasingly producing buildings with extremely low damping values. Under structural vibrations caused by storms and earthquakes, structures can collapse easily. There are now several methods for reducing structural vibrations, and one of the methods currently employed is the Tuned Mass Damper (TMD). Research is being conducted to determine its performance and importance. The entire damper was tuned for various constructions. An eight-story model specifically designed for the structure was used in this study to observe the structure's response with and without TMD during shaking table experiments. Compared to passive control devices (PTMDs), Active Tuned Mass Dampers (ATMDs) are more efficient as they are active control devices powered externally. By maintaining the structure's frequency, damping, and stiffness constant, other variables such as the percentage reduction in structural capacity can effectively control structure vibrations. The findings and observations from TMD studies can be used to address challenges in earthquake structural control considering current technological limitations and energy demands. The results illustrate significant improvements with damping: the damped structure experienced a 21% increase in acceleration, a 17% increase in velocity, and a 79% reduction in displacement compared to the un damped structure. These findings underscore the effectiveness of damping in mitigating earthquake-induced vibrations.

Abstract C041: Emerging role of P2X receptors as Golgi pH regulators in pancreatic cancer

Abstract Cancer cells reprogram their metabolism to meet their elevated energy demands, favoring energy production via glycolysis even with functional mitochondria. Upregulated glycolysis results in rapid production of lactate and protons in the cytoplasm. This would normally reduce the intracellular pH (pHi); however, cancer cells employ mechanisms such as ion transporters that remove excess protons from the cytoplasm to maintain an alkaline pHi, allowing for cell growth, evasion of cell death and cell proliferation. Our previous studies have shown that in pancreatic ductal adenocarcinoma (PDAC), the Golgi apparatus is among the intracellular compartments that can uptake excess protons, giving PDAC cells a cell fitness advantage. The underlying mechanisms that drive Golgi acidification in PDAC are incompletely understood. Here, we set out to comprehensively identify novel modulators that can affect this process. By using a fluorescent-protein-based ratiometric pH biosensor targeted to the Golgi membrane, we screened thousands of chemical compounds for an impairment in Golgi acidification, which would lead to pHi dysregulation and cell death. One of our hits from the screen was an inhibitor of the P2X family of receptors (P2XRs). P2XRs consist of seven subtypes (P2X1-7) and are ATP-gated ion channels that mediate the passage of non-selective cations through the plasma membrane and intracellular compartments. P2XRs have also been shown to regulate the pHi. We are elucidating the mechanism by which P2XRs may regulate pHi via the Golgi in PDAC. Our preliminary results show that concomitant with the alkalinization of the Golgi, P2XR inhibition leads to a pronounced decrease of pHi and results in cell death in PDAC while normal untransformed pancreas cells are unaffected. These data suggest that P2XRs play a role in pHi regulation and cell fitness maintenance through a function in the Golgi. Targeting this metabolic reprograming dependency may serve as a novel therapeutic tool for PDAC. Citation Format: Cheska Marie Galapate, Koen Galenkamp, Charles Fisher, Susanne Heynen-Genel, Cosimo Commisso. Emerging role of P2X receptors as Golgi pH regulators in pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr C041.

A comprehensive mathematical model considering multiple mechanisms for CO2 displacement of methane in shale nanopores

With the rise in energy demand, shale gas exploitation has gained prominence, particularly through the use of carbon dioxide (CO2) injection for enhanced gas recovery. However, the intricate gas flow mechanisms within this process in shale nano-pores remain poorly understood, which greatly limited the accurate numerical simulation of shale gas production by CO2 injection. This study investigates the flow mechanisms of CH4 and CO2 gases in shale nano-pores, developing an improved apparent relative permeability model for the two-component CH4–CO2 gas, incorporating multiple transport mechanisms. Sensitivity analysis includes factors such as pressure, pore radius, viscosity correction effects, flow mechanisms, and composition fractions. Key findings from this study are as follows: (1) Increasing pore radius or decreasing pressure enhances the apparent permeability of CH4–CO2 gas, with pressure effects becoming negligible above 20 MPa. (2) The impact of viscosity correction on gas permeability diminishes with higher pressure or larger pore radius, becoming negligible for pore radii over 10 nm. (3) Larger pore radii increase slip flow and Knudsen diffusion, while molecular and surface diffusion proportions decrease; surface diffusion and slip flow dominate at high pressures. (4) A higher CH4–CO2 component ratio increases CH4 permeability and decreases CO2 permeability, with minimal influence from pressure and pore radius. These results can improve numerical simulations for shale gas production by using CO2 injection.

Potential of solar thermal collector combined with dual phase change materials for different energy demands: An energy, economic, and environmental assessment

In this study, three different types of solar thermal systems i.e. ETSC-A (lauric acid integrated with a hot water tank), ETSC-B (lauric acid integrated with hot water tank and palmitic acid with evacuated tube), and ETSC-Conv (without phase change materials) have been designed and fabricated. The energy performance of ETSC-A and ETSC-B compared to ETSC-Conv was found to be 30.94, 45.37, & 49.27 %, and 48.37, 76.36, & 57.88 % higher for ED-I, ED-II, and ED-III respectively. Concerning, techno-economic analysis, values of LCWH, NPV, and PBP for ETSC-B and ETSC-A in comparison to ETSC-Conv are found to be higher by 24.41 %, 26.44 % & 36.51 and 22 %, 24.36 % & 31.91 % respectively. About environmental scan, ETSC-B, and ETSC-A can mitigate more CO2 and generate revenue by almost 60 % and 41 % respectively than ETSC-Conv. The commercial deployment of developed systems specifically ETSC-B is not only advantageous in terms of thermal performance and economic viewpoint but also mitigates carbon dioxide emission.

Electro-coagulation pretreatment for improving nanofiltration membrane performance during reclamation of microplastic-contaminated secondary effluent: unexpectedly enhanced membrane fouling and mechanism analysis by MD-DFT simulation

The residue of microplastic in secondary effluent was inevitable with continuous aggravation on nanofiltration membrane fouling. Thus, this study aimed to further evaluate the applicability of electro-coagulation as pretreatment for improving the performance of a nanofiltration-oriented hybrid process during the reclamation of microplastic-contaminated secondary effluent. The electro-coagulation parameters were skillfully optimized and designed for following dynamic nanofiltration experiments. The potential influence of coagulants in different forms as well as their combined effects of microplastics on membrane fouling behaviors and pollutant rejection efficiency was distinguished. Specifically, terminal membrane permeability was reduced by 19% after 0.05 A electro-coagulation, while 0.2 A electro-coagulation almost eliminated the negative effects of microplastics. Mass transfer model analysis excluded the dominance of organic accumulation in the concentration polarization layer on membrane fouling development. Molecular dynamic (MD) simulation and egg-box model demonstrated that humic-Fe network possessed stronger bridging effects and greater porosity. This structure favored the co-deposition of other unlinked bacteria metabolites, which secretion was also facilitated by microplastics as immobilized carriers, on membrane surface. Additionally, density functional theory (DFT) calculation further confirmed that the greater demand for dehydration energy for ferric ions (1124 kcal/mol) inspired the formation of stronger humic-Fe complexes. Besides, residual microplastics in electro-coagulation effluent had different impacts on membrane rejection towards organic and inorganic pollutants, and it depended on the influenced cake-enhanced concentration polarization (CECP) by microplastic affinity with different pollutants.

Towards a more realistic estimation of urban land take by combining cadastral parcels and building footprints

Despite its importance as a research issue, a widely accepted methodology of estimating land take resulting from urbanization has not yet been reached. Accurate geospatial datasets are currently available at a European and global level; however, different methods of quantifying urban land take could lead to diverse outputs, potentially resulting in underestimation. This can be alarming as encroaching urban sprawl is emerging as a major environmental challenge by destroying natural habitats, consuming productive agricultural land, and contributing to climate change by increasing energy demands. To address this knowledge gap, we propose an estimation of urban land take that combines cadastral parcels and building footprints. Land parcels can be considered as a suitable minimum mapping unit as they are directly related to the spatial level where economic decisions on land use conversion are made. The proposed geospatial method is compared to methods that depend on datasets of High Resolution Layer Imperviousness, Global Building Footprints (alone), Corine Land Cover, Urban Atlas, and Global Human Settlement Layer. The method is exemplified in case studies in Greece, specifically: (a) two islands of the South Aegean Region (Mykonos and Thera), that are heavily impacted by tourism development and sprawl and (b) a peri-urban zone (Thermaikos-Michaniona) within the metropolitan area of Thessaloniki, impacted by intense suburbanization. Results show that urban land consumes important shares of available land since the mid-20th century, this fact highlighting the dynamic encroachment of urban development. Calculation shows that other methods could underestimate urbanized areas by up to 80%–90%. In the discussion section, the advantages of shifting the focus from the pixel to the parcel are further justified, while explicit links to spatial planning policies for sprawl containment are drawn. Such policies could be informed by more realistic estimations of urban land take, in order to proceed with strategic and regulatory measures to support the ‘no net land take’ policy of Europe.

A study on the enhancement of energy efficiency and indoor environment through the integration of solar photovoltaic modules in daylighting louver systems

The global energy demand is predicted to increase significantly, with a strong link between energy consumption and CO2 emissions. Lighting energy accounts for a substantial proportion of total energy consumption in buildings, with the potential to be reduced using daylighting louvers. Despite some drawbacks, integrating solar photovoltaic modules with louvers could enhance energy efficiency while addressing the increasing demand for renewable energy systems in new buildings. Therefore, this study explores the potential benefits of integrating solar photovoltaic (PV) modules into a daylighting louver system to simultaneously reduce lighting, cooling, and heating loads and generate solar power. The performance of the proposed louver system was experimentally compared to a conventional building-integrated photovoltaic (BIPV) system installed on a window. The daylighting louver system demonstrated significant improvements in indoor illumination and occupants’ experience compared to the BIPV system. Furthermore, the indoor air temperature in the space with the louver system increased by about 5 degrees compared to the BIPV system, indicating its contribution to heating load reduction. The power generation performance of the louver system reached up to 65 % of the BIPV system, with a total cumulative electricity generation of 64 %. The results suggest that the daylighting louver system can be expanded to enhance its efficiency and address the increasing demand for renewable energy system installations in new buildings. Future studies should investigate the potential of 2-axis or 3-axis louvers to further improve the system’s efficiency.

Boosting photocatalytic H2 evolution in B-doped g-C3N4/O-doped g-C3N4 through synergistic band structure engineering and homojunction formation

Photocatalytic hydrogen production is a promising method to address the increasing energy demand and depletion of fossil fuels. Among various photocatalysts, g-C3N4 (CN) has attracted significant attention due to its favorable properties and tunable band structure. CN-based heterojunctions have been developed to enhance photocatalytic efficiency through improved charge separation via interfacial charge transfer. However, traditional heterojunctions formed between CN and other semiconductors often face challenges related to material compatibility and stability. In this work, we explored the formation of homojunctions, which involve identical semiconductors and offer superior charge separation and electron mobility due to perfect lattice matching. To further enhance individual oxidation and reduction capabilities, we employed band structure engineering through B doping and O doping. The homojunction between B-doped CN (BCN) and O-doped CN (OCN) was successfully synthesized using simple electrostatic self-assembly, resulting in significantly improved hydrogen production of 519.3 μmol g−1h−1 compared to BCN (34.7 μmol g−1h−1) and CN (167.2 μmol g−1h−1). This approach enhances visible light absorption, charge separation, and mobility, demonstrating the potential for developing advanced CN-based photocatalysts for various applications.

Resilient cooling of the Mediterranean office spaces under climate change

ABSTRACT Resilient cooling strategies can minimize overheating risks by reducing energy demands and providing healthy indoor environments. Envelope-based resilient cooling strategies are particularly crucial for limiting external heat gain through conduction, convection, and radiation. This paper examines the impact of these strategies on the indoor environment under climate change. Using a case study approach, we simulate various scenarios for single and combined envelope-based resilient cooling strategies in a hypothetical, free-running office building located in the Mediterranean across five Köppen-Geiger climate zones (BSh, BSk, BWh, Csa, and Cfa) for both historical and 2050 weather data. We calculate indoor overheating degree and evaluate occupants' adaptive comfort. The findings suggest that combining envelope-based resilient cooling strategies significantly reduces indoor overheating risks, particularly in Southern European and North-Western African cities. Strategies that effectively control solar exposure are more influential in mitigating these risks. Among the strategies examined, a ventilated double skin with low-SHGC or chromogenic glazing is the most climate-change-resilient. This study contributes to the field by assessing the effectiveness of envelope-based resilient cooling strategies and providing recommendations for their application in the Mediterranean climate. It also evaluates how climate change may impact the performance of these strategies, offering insights for design and policymaking.

Optimal 4E design and innovative R-curve approach for a gas-solar- biological waste polygeneration system for power, freshwater, and methanol production

BackgroundCogeneration power plants traditionally rely on fossil fuels to produce stable power and heat. However, increasing energy demand and population growth have intensified the emission of biological pollutants due to fossil fuel use. The Global Alliance on Health and Pollution advocates for integrating renewable energy sources to mitigate these issues. ObjectivesThis study aims to evaluate the integration of a solar-biomass polygeneration system with a hybrid solar-waste-fossil fuel cogeneration system. The goal is to analyze the system from technical, economic, and environmental perspectives, focusing on optimizing energy demand and minimizing environmental impact. MethodsTo assess energy demand and supply, the R-curve methodology was applied to the hybrid cogeneration system, with a specific focus on solar and biomass renewable energies. Various scenarios were analyzed, including total annual costs, pollutant emissions, water footprint, and overall environmental impact based on life cycle assessment. The study examined and compared the performance of three types of biomass waste (Municipal solid waste, mixed paper waste, and date palm waste). Multi-objective optimization was performed using artificial intelligence and machine learning techniques, employing four meta-heuristic algorithms. The conditions generated by each algorithm were analyzed and compared. ResultsMunicipal solid waste, being the most readily available fuel, provided the most favorable economic conditions for the system. Environmentally, municipal solid waste ranked in the middle compared to other fuels. Among the optimization algorithms, the Salps swarm algorithm proved to be the most efficient in terms of calculation time and system efficiency improvements. The optimization improved net power generation by 5.25 %, overall energy efficiency by 16.27 %, total cost rate by 10.19 %, and total environmental impact rate by 14.02 %. ConclusionThe integrated system's performance was analyzed across different climatic change throughout the year. The multi-objective Salps swarm algorithm optimization demonstrated significant benefits in enhancing system efficiency and reducing costs and environmental impacts.

Perspectives on Photocatalytic Paper‐based Batteries Fueled by Alcohol

Among the energy demands, innovative solutions are required to power various devices. Enter paper‐based microfluidic fuel cells (PµFCs) running on eco‐friendly alcohols from biomass. While lightweight and disposable, they mainly rely on costly noble‐metal catalysts for high efficiency. In this context, the concept of photo paper batteries (pPBs), utilizing affordable sunlight‐activated semiconductors to drive alcohol oxidation on paper, opens the possibility to disposable and affordable energy solutions. Our review highlights recent progress in PµFCs fueled by alcohols like methanol, ethanol, ethylene glycol, and glycerol. We explore semiconductor advancements driving anodic reactions and envision the potential of pPBs.

Life cycle assessment of decommissioned silicon photovoltaic module recycling using different technological configurations in China

The intricate encapsulation structure and material composition of photovoltaic modules necessitate full materials recycling involving multiple stages and different technological configurations, thereby increasing environmental burden of recycling process. Consequently, environmental impact assessments are imperative. However, previous studies primarily focused on a single technology or compared different technologies within a specific recycling stage, overlooking various technological configurations and thus engendering incomprehensive assessment. Hence, we employ a comparative life-cycle assessment to evaluate the environmental performance of six recycling alternatives with different technological configurations for silicon photovoltaic waste in China, which encompasses five recycling stages and glass/silicon remanufacturing processes. Results shows thermal delamination reduces the normalized environmental impact by 8.73% and 4.62% compared with mechanical and chemical delamination, respectively; electrolysis for metals extraction carries 35.72%–36.35% higher environmental benefits than precipitation. Additionally, introducing silicon/glass remanufacturing provides an additional 6.27%–11.55% environmental benefits. Therefore, integrating disassembly, thermal delamination, leaching & etching, electrolysis, and remanufacturing exhibits the best environmental performance, with −4796 kg CO2-eq/tonne carbon emission and −46400 MJ/tonne energy demand. Environmental hotspots analysis identifies key contributors to environmental impact and benefits. Further sensitivity analysis highlights the importance of enhancing silver and copper recovery efficiency. Finally, targeted strategies are proposed for green recycling routes of photovoltaic waste.

Research on Adaptive Control Systems for Building Shading Based on Decision Tree and Random Forest Classification Algorithms

Dynamic shading systems for buildings, due to their variable mechanisms and high adaptability, have the potential to reduce energy consumption in buildings significantly. However, the performance of dynamic shading is largely influenced by the control system employed. This study aims to explore an adaptive control method for building shading based on decision tree and random forest classification algorithms (machine learning), with the objective of minimizing energy demands related to lighting and cooling as much as possible. The adaptive control system model may independently modify the location of building shading in response to input environmental conditions, thereby achieving energy savings for both lighting and cooling. According to the findings, the automated control system model may reduce building energy consumption by 38% overall, which is close to the ideal level of energy conservation.

A new age for coal ports: An historical perspective on diversification and a circular economy future

Amidst growing climate change concerns and decarbonisation imperatives, coal ports worldwide face the challenge of diversifying their operations in response to shifting energy demands. This paper investigates the historical transition of coal ports and their diversification strategies within the context of the circular economy. Employing a systematic review of academic literature and trade publications, we analyse the issues that pose long-term threats to coal ports. We focus on nine coal ports and terminals across the UK, US, China, and Russia, evaluating the diversification strategies employed at each port, and assessing their relevance in today's climate landscape. Notably, the Port of Newcastle, Australia, the world's largest coal port, serves as a key case study, revealing the potential for future-proofing operations through a circular economy framework. We discuss the driving factors and opportunities for this transition. Additionally, we address barriers to adoption, such as leadership challenges, financial viability, and infrastructure suitability, shedding light on the transformative journey coal ports must undertake in response to evolving energy paradigms.

Digitalization of the economy and sustainability of metallic mineral production

Due to the adverse impacts of climate change on the environment and biodiversity, sustainability has become a critical issue. This paper investigates the impact of digitalization on the sustainability of metallic mineral production, particularly CO2 emissions, within the Regional Comprehensive Economic Partnership (RCEP). Using data from 1998 to 2020 and the cross-sectional FMOLS technique, the study finds that a 1% increase in ICT investment reduces CO2 emissions by 0.32%, and a 1% rise in Internet access decreases emissions by 0.28%. However, electrification increases emissions due to higher energy demand and fossil fuel reliance. Economic growth and metallic resource trade volume also elevate emissions. Policy recommendations include smart urban development, sustainable rural electrification, fostering internet access, and implementing green logistics in metallic production trade to enhance sustainability in RCEP countries.