Reduce Carbon Dioxide Emissions Research Articles

CO2 emission from the electricity sector in Iran; calculation, prediction and reduction policies

Fossil fuel power plants produce a significant amount of CO2 emissions, and this pollutant causes global warming, respiratory and heart diseases, and other significant issues. Electricity interprets as a primary and rising demand in each energy system; thus, in this paper, carbon dioxide (CO2) emission reduction was selected as the objective value for 2025. Power plant fuel consumption was surveyed to calculate the CO2 emission caused by each fuel. Also, Esfahan province (an industrial province in Iran) was investigated as the study case. Forecasting the fuel consumption for 2025 was run by two parameters: population and Gross Domestic Production (GDP), which were forecasted by the report of the Iran Statics Center and the Gaussian Process Regression (GPR) method, respectively. The CO2 emission of power plants was obtained using the coefficients of each fuel. Based on Iran's commitment to the Paris Agreement, a 4% reduction of CO2 emissions is the main objective. Thus, this study aims to reach this goal by implementing four scenarios: a) adding renewable energies, b) adding renewable energies and improving the generation efficiency, c) adding renewable energies and decreasing the grid losses, and d) combining the three scenarios mentioned above. According to these scenarios, reformation strategies compensated 10.5% of the required power, which was satisfied by renewable energies, and finally, this province can gradually satisfy a 4% reduction until 2025.

Role of Woody Biomass Ash Material in Immobilization of Cadmium, Lead and Zinc in Soil

Nowadays, we have observed the dynamic development of bio-heating plants that use wood biomass for heating or energy purposes. The result of this process is a reduction in carbon dioxide emissions as well as in the production of biomass ash (BA). Despite the waste nature of BA, it should be carefully analyzed and assessed for various applications, including environmental ones. Due to the features attributed to BA, including its alkaline reaction, the high capacity of its sorption complex, relatively low salinity, and significant content of macro- and microelements, a hypothesis was put forward in this work undertaken about the positive role of BA as an immobilizing factor for Cd-, Pb-, and Zn-contaminated soils. This research was based on a pot experiment in which four series were considered: (1) BA; (2) BA + Cd; (3) BA + Pb; and (4) BA + Zn. BA was used at doses of 30, 60, and 90 mg pot−1, and metals at doses of 2 mg Cd, 100 mg Pb, and 300 mg Zn kg−1 of soil. The test plant was corn grown for green mass. The study took into account the influence of BA on the content of the total forms of heavy metals (Metot) and their available forms (Meav). In the soil without the addition of metals, a significant increase in the content of Cdtot and Cdav, and a decrease in the content of Zntot were observed due to the application of BA. The addition of metals against the background of the BA used resulted in a significant increase in Cdtot, Pbtot, and Zntot, as well as an increase in the available forms of Pbav but a decrease in Znav. However, there was no significant increase in the Cdav content. The obtained results may indicate the potentially immobilizing role of BA only in the case of zinc. They may constitute the basis for further, more detailed research aimed at determining the role of BA in the immobilization of various metals in soil.

Development of sustainable alkali-activated slag bricks with high content of carbonated recycled concrete fines: Strength, microstructure and environmental benefit

This research presents a novel method of recycling construction waste while capturing CO2 through the formation of mineral carbon. The technology uses carbonated recycled concrete fines (CRCF) as the primary raw material to produce sustainable, high-performance alkali bricks with high replacement rates. Firstly, a general assessment of the physical and chemical properties of CRCF was carried out, which revealed the formation of silica gel encapsulating the surface of CRCF during carbonation. Subsequently, alkali bricks were prepared utilizing CRCF. The study investigated the impact of various mix proportions, water-to-cement ratios, and manufacturing process parameters on brick strength. Additionally, an in-depth analysis of reaction products and brick microstructures was carried out. The results showed that the bricks produced from CRCF were stronger than those from RCF, indicating enhanced reactivity after carbonation. Finally, an analysis demonstrated that utilizing RCF from construction waste can significantly reduce carbon dioxide emissions, thereby mitigating the environmental impact associated with cement production.

Quaternary blended eco high performance concrete utilizing high volumes of siliceous additives

This research examines the optimal feasibility of incorporating siliceous additives as an adjunct material for cement in the formulation of environmentally sustainable high-performance concrete (Eco-HPC). Siliceous materials, including Nano silica (NS), Rice Husk Ash (RHA), and Fly Ash (FA), were fine-tuned within the cementitious system in order to achieve the amplified performance of Eco-HPC by reducing the required cement content from 370 kg/m3 to 273 kg/m3. This is achieved by employing the Modified Andreasen and Andreasen (MA&A) particle packing model, with ‘q’ (distribution factor) as ‘0.3’. The Levenberg Marquardt algorithm (curve fitting) was utilized to validate the packing density of each concrete blends. Initially, the dry NS agglomerates are synthesized into stabilized aqueous dispersion through High shear mixing (10 min/1750 rpm) followed by probe sonication (15 min/(1/3) s/s) with anionic surfactant dosage of 0.1 g/10 g. Incorporating secondary siliceous binders into the cement matrix led to an enhancement in the packing density, increasing from 0.94 (nullary) to 0.96 (quaternary) which in turn alters the reactivity and cohesiveness of the matrix. Compressive strength values for Binary (NS2), Ternary (RN15, FN20), and quaternary mix (FRN25) were observed as 57.42 MPa, 56.83 MPa, 55.34 MPa, and 52.58 MPa, respectively, for primary binder contents of 362 kg/m3, 314 kg/m3, 296 kg/m3, and 273 kg/m3 without compromising durability parameters. An assessment on reduced carbon dioxide emissions indicated that increasing the cement replacement percentages in Eco-HPC by up to 30% for binder contents of 358 kg/m3, 296 kg/m3, 259 kg/m3, and 273 kg/m3 resulted in a reduction of CO2 emissions by 2.98%, 18%, 27%, and 23.33%, respectively. Among the twelve formulated mixes, FRN25, FRN20, FRN15 and FN30 are identified as Eco-HPC mix through a computational framework which integrates the packing density, carbon emission, strength and diffusion coefficient.

Worlds apart? Investigating acceptance and usage demands of carbon-based cosmetics and clothing across European countries

BackgroundGlobal warming and the increasing risk of natural disasters force us all to act. As the reduction of carbon dioxide (CO2) emissions has been proven effective but insufficient on its own, Carbon Capture and Utilization (CCU) technologies emerged to fill the gap. Using CCU technologies, CO2 is captured and further processed into valuable products instead of being emitted into the atmosphere.MethodThis study investigates the prevailing public perception of such CCU-based products by the example of clothing and cosmetics. We applied the method of conjoint measurement to experimentally examine context-related factors (= attributes) in different usage settings and explored the consumers’ decision profiles for or against the usage of CCU-based products (cosmetics and clothing). Conjoint measurements were realized as an online experiment, addressing acceptance patterns and preferences in four European countries (Germany, Norway, Spain, and Poland). In addition, we assessed general attitudes and affective assessments of the CCU products. A total of N = 828 participants took part in the study, and the international subsamples were comparable.ResultsResults revealed that health compatibility is the main adoption-driving factor in the decisions for or against the use of the products. Still, attributes like the environmental impact, product quality, and information flow play an important role as well, even though to a lesser extent. Participants from different countries significantly differ in their cognitive and affective evaluations of acceptance-related attributes.ConclusionsThe outcome provides insights into differences in Pan-European comparison and helps to understand the public motives and country-specific terms of use for CCU-based products, effectively establishing recommendations for policy and governance.

E-VAHAN CHARGING STATION

In a technological world where both pollution and population increase every day, electric vehicles play a key role in saving energy and reducing carbon dioxide emissions and harmful greenhouse gasses in transportation. Rapid changes are occurring in the electrical industry. Rising energy prices, mass electrification of everyday life, and global warming are the main factors determining the speed with which such changes occur. In response to the growing demand for sustainable transportation solutions and the urgent need to reduce carbon dioxide emissions, the concept of the E-Vahan Charging Station emerged as a pioneering initiative. This innovative project seeks to harness the abundant renewable energy resources of solar and wind power to revolutionize the way electric vehicles (EVs) are charged. As the world transitions towards a greener future, this charging station represents a crucial step in promoting clean and Eco-conscious mobility. Index Terms: Electrification, Harness, Pioneering, Initiative, Crucial, Eco-conscious, E-Vahan Charging Station, etc.

Experimental study on using 85 °C low-grade heat to generate

A great amount of below 100 °C low-grade heat exists in wasted heat and renewable energy fields while generating above 100 °C steam consumes a huge quantity of energy in production. Using below 100 °C low-grade heat to generate steam could save energy and reduce carbon dioxide emissions. This work experimentally studies an ammonia-water absorption heat transformer that increases temperatures of 85 °C low-grade heat to generate below 120 °C steam. A temperature-distributed generation process is introduced, which can enlarge the temperature utilization spans of heat sources. A prototype is built, and performance is investigated. Results show that the prototype successfully uses 85 °C low-grade heat for steam generation. The output temperature fluctuation is ±0.4K, which meets the demand for most industrial applications. In addition, the prototype COP increases with the strong solution concentration in the experiment range, and the maximum COP is 0.33. System performance improvement results from the rise in ammonia generation quantity. However, the disadvantage of rising strong solution concentration is the absorption pressure increment, bringing the challenge for heat exchanger design. The maximum temperature lift of the prototype is 34.7K. Moreover, the performance of prototypes with different sizes is predicted based on the experimental data. The predicted practical COP of the 200 kW prototype is 0.36 when the output temperature is 119.7 °C, close to the simulation value of 0.38.

Assessing long run asymmetric effect of urbanization, fossil energy consumption and regulatory quality on environmental degradation in the Black Sea region: A Dynamic analysis

Sustainable development policies of the Black Sea Region is vital to European Union given increasing environmental disturbances by dynamic and heterogenous factors across the enclave beginning from 1990s. This study assesses long run asymmetric effect of urbanization, energy consumption and regulatory quality on environmental degradation, with data from 1998Q1 to 2017Q4. First pooled mean group (PMG) estimates suggest short-run nonlinear and asymmetric effects of the independent variables on carbons emissions. Second, (i) long-run PMG estimates indicate improvements in regulatory quality reduces carbon dioxide emissions; (ii) increases in both urbanization and fossil energy consumption lead to corresponding rise in carbon dioxide emissions. Third, outcomes of Dumitrescu Hurlin causality estimate indicate (i) both fossil energy consumption and urbanization have unidirectional causal effects on carbon dioxide emissions; and (ii) increases in both urbanization and carbon dioxide emissions cause changes in regulations quality. These findings provide environmental regulatory insights for the Black Sea regions, especially to the European Union. Towards the future, the EU could ensure increased funding, research and policy inter-linking. Cooperation and formal exchanges among the economies in implementation of Danube River and Black Sea Conventions could be strengthened to preserve commercial marine resources; biodiversity and Habitat resources and reduce eutrophication. Additionally, fossil energy-guzzling industries could be regulated by the EU to use efficient technologies toward saving energy. To address urban-driven carbons emission across the region, economies across the region could invest in natural gas; whiles heavy investments are made in energy productivity.

Dynamic quantitative assessment of multiple uncertainty sources in future hydropower generation prediction of cascade reservoirs with hydrological variations

Hydropower is the dominant renewable energy source, which can significantly reduce carbon dioxide emissions while providing electric energy. It is a crucial way to achieve the dual-carbon goal of carbon peak and carbon neutrality. However, climate change inevitably threatens hydropower, either directly or indirectly. Global climate models (GCMs) and hydrological models (HMs) under different representative concentration pathways (RCPs) have been combined to investigate future hydropower generation responses to climate change. The contribution of multiple uncertainty sources to multi-scale hydropower generation uncertainties with hydrological variations remains unclear. Therefore, to address the above challenge, a three-step framework was proposed in this paper: (1) predicting future inflows to reservoirs using three HMs (HBV, SWAT and XAJ) with different structures driven by six GCMs (BNU-ESM, GFDL-ESM2G, GFDL-ESM2M, CanESM2, MIROC-ESM-CHEM and CSIRO-MK3-6-0) under three RCPs (i.e., RCP2.6, RCP4.5 and RCP8.5); (2) diagnosing future hydrological conditions using the Comprehensive Differential Split-sample Test; (3) predicting future hydropower generation of cascade reservoirs by developing a cascade hydropower generation model and dynamically quantifying the contribution of multiple uncertainty sources to multi-scale hydropower generation uncertainties with hydrological conditions based on the variance decomposition method through subsampling. The results indicate that GCMs, HMs, climate emission scenarios and their interactions significantly impacted the uncertainty of hydropower generation with hydrological variations. In the flood season, the relative contributions of GCMs and HMs were the largest, accounting for about 40%. The interaction effects of multiple uncertainty sources gradually increased before, after and during the non-flood season, with its relative contribution accounting for about 36%. These findings can facilitate the active response to the new challenges of strategic hydropower energy development under climate change, reducing the losses caused by climate change.

Ecologically Friendly Building Materials: A Case Study of Clay–Ash Composites for the Efficient Management of Fly Ash from the Thermal Conversion of Sewage Sludge

The European Union’s initiative to reduce carbon dioxide emissions has paved the way for the exploration of innovative building materials that are environmentally friendly and meet all requirements of durability and strength. These criteria can be met by combining natural resources used in the production of building materials with waste materials that would otherwise be landfilled, having a negative impact on the environment. This study focuses on such materials and presents the results of recent research conducted at the Warsaw University of Life Sciences. The aim was to develop a new generation of materials fully compliant with the principles of the circular economy and sustainable development. Simultaneously, these materials should have no adverse effects on human health and be strong enough to carry the required loads. This study proposes the combination of a natural raw material—in the form of clay—with fly ash from the incineration of sewage sludge to produce a new generation of materials. Several samples were prepared using fly ash from two sources and then were fired at 950 °C. The resulting composites underwent physico-chemical and strength tests. These tests not only confirmed the high strength and durability of the obtained product but also the neutralization of the heavy metals originally present in the fly ash.

Enhancing Environmental Quality: Investigating the Impact of Hydropower Energy Consumption on CO2 Emissions in Indonesia

Achieving sustainable environmental quality has become a critical global issue, necessitating the reduction of carbon dioxide (CO2) emissions and greenhouse gas (GHG) emissions to mitigate environmental pollution. Hydropower energy has the potential to play a significant role in this effort by providing a clean, renewable energy source that can help reduce reliance on fossil fuels and decrease CO2 emissions. This study examines the dynamic impact of hydropower energy consumption, economic growth, capital, and labor on Indonesia's CO2 emissions from 1990 to 2020. Applying the Autoregressive Distributed Lag (ARDL) method, the findings demonstrate that hydropower energy consumption has a negative effect on CO2 emissions in both the short and long term, indicating that increasing hydropower energy consumption leads to a reduction in CO2 emissions. Conversely, labor exhibits a positive influence on CO2 emissions in both the short and long term, suggesting that a rise in labor contributes to higher levels of CO2 emissions in Indonesia. Furthermore, the Granger causality analysis reveals a bidirectional relationship between CO2 emissions and hydropower energy consumption. The robustness of ARDL results is confirmed through additional tests using Fully-Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regressions (CCR) methods. The findings underscore the importance of promoting sustainable hydropower energy for effective environmental management in Indonesia. Policymakers should prioritize investments in sustainable hydropower infrastructure, encourage the adoption of energy-efficient technologies, and develop a skilled workforce to mitigate the environmental impact of increased labor force participation.

Determination of Radium concentration and Radon Exhalation Rates Using CR-39 Detector for Different Geopolymer Cement Samples Containing Industrial Wastes

Natural material like metakaolin, along with industrial wastes such as fly ash (FA), cement kiln dust (CKD), and ground granulated blast furnace slag (GGBFS), are being used to develop new affordable and environmentally friendly construction materials (Geopolymers) that result in reduced carbon dioxide emissions. Geopolymers are gaining attention for their ability to effectively remove organic and inorganic contaminants from wastewater, including dyes and heavy metals. However, the study of the radiation properties of eco-friendly geopolymer cement materials has received little attention. To address this gap, conducted a previous study to examine the radiation properties of different geopolymer cement samples. In this study, the analyzed the radon concentration, radium concentration, and annual effective dose of various pre-treated geopolymer cement samples that contained industrial wastes from dyes and heavy metals. By using the CR-39 detector as a passive technique for this examination. In the pretreated geopolymer cement samples, we used three types of reactive dye effluents - reactive black 5 (BD), reactive red 195 (RD), and reactive yellow 145 (YD) in the presence of heavy metals (Cu2+, Cd2+, and Pb2+). Based on our research, the concentration of radon ranged from 2.69 to 212.42 Bq m-3. The sample with the lowest value of radium concentration was labeled as (10) (GGBFS), while sample (9) (SF10-YD-Cu2+) had the highest value. Found that the annual effective doses were within the range of the world average for indoor and outdoor 1.55and0.58mSvy−1 respectively, except for sample 9 (SF10-YD-Cu2+) which had the highest radium concentration. The pretreated geopolymer cement mixes containing different dye effluents and heavy metals were found to be safe for use in construction areas, except for sample 9 (SF10-YD-Cu2+). Recommend using sample 9 (SF10-YD-Cu2+) only for public highways, bridges, and other well-ventilated buildings.

Evaluating the impact of virtual energy storage under air conditioning and building coupling on the performance of a grid-connected distributed energy system

Energy storage technologies are vital in improving the operation performance of grid-connected distributed energy systems. The adjustability of indoor temperature and the thermal inertia of buildings can form an excellent virtual energy storage. However, there are few studies on the impact of this virtual energy storage on the operation performance of grid-connected distributed energy systems. Therefore, this study first calculates the equivalent thermal resistance and thermal capacitance of a building by using EnergyPlus and establishes the first-order thermodynamic load calculation model. Subsequently, the system dynamic optimal scheduling model, considering the virtual energy storage, was developed based on the first-order thermodynamic load calculation model. The Gurobi nonconvex solver is used to optimize the model, and the results are compared with the optimal scheduling results without considering the virtual energy storage. The results indicate that, guided by time-of-use electricity pricing, the virtual energy storage effectively reduces the air conditioning load during high and peak tariff periods while increasing it during valley tariff periods. This change in air conditioning load leads to an increase in grid power consumption during valley tariff periods. However, it also improves the system's operation efficiency and ultimately reduces the total grid power and gas consumption. The lower energy consumption makes the primary energy saving rate and carbon dioxide emission reduction rate of Scenario 2 greater than zero compared to Scenario 1 and increases with the increase of renewable energy penetration of the integrated power system. Furthermore, affected by the difference in the proportion of grid power consumption under time-of-use electricity pricing and the total energy consumption, the system's operating cost in Scenario 2 is less than in Scenario 1. The reduction rates in summer and winter typical days are 1.95 % and 6.48 %, respectively. Therefore, fully utilizing the virtual energy storage under air conditioning and building coupling can reduce the operating cost, primary energy consumption, and carbon dioxide emissions of grid-connected distributed energy systems.

Characteristics and Reduction of Carbon Dioxide (CO2) Emissions during the Construction of Urban Parks in South Korea

Characteristics and Reduction of Carbon Dioxide (CO2) Emissions during the Construction of Urban Parks in South Korea

Brake-actuated steering control strategy for turning of articulated vehicles

The use of high-capacity vehicles has been shown to significantly reduce carbon dioxide emissions from heavy goods transport and improve the efficiency of the transport sector. Despite their benefits, current legislations regarding the dimensions and weight of the vehicles have limited the widespread use of heavier and longer vehicles. Long vehicles are less manoeuvrable and often necessitate technological interventions to pass manoeuvrability tests. Various rear-steering systems proposed to solve these issues lead to high costs and mass penalties compared to standard fixed axles. This paper presents a new steering concept which utilises the axles’ existing brake actuators to steer, eliminating the need for dedicated actuators on the axle and associated steering hardware. Brakes are individually controlled on each side of a freely steerable axle to generate the necessary torque about the kingpins causing it to steer. A validated vehicle model is used to design a feedback steering strategy based on path-following steering control for low-speed manoeuvring. The proposed system's performance is compared to conventional vehicles and current state-of-the-art active-steering systems through simulations. It demonstrates comparable steering performance to that of electro-hydraulic active-steer systems, with an estimated 50% reduction in both mass and costs.

Modern mechanisms of state management of sustainable development

Aim. To analyze contemporary mechanisms of public governance of sustainable development (SD) with a focus on the energy transition and climate agenda.Objectives. To focus on strategies and practices adopted in China and Russia, comparing their approaches to achieving SD goals; to examine international experience, analyze investments in renewable energy sources (RES) and decarbonization; to review adopted regulations and management strategies in these areas; to study national and international strategies, legislation and practices aimed at increasing the share of RES and reducing carbon dioxide emissions; to assess the effectiveness of measures taken to manage SD (with special attention to the eMethods. This article is based on the analysis of data from reports of international organizations, statistical data of governmental bodies, as well as on the review of national strategies and legislation. Mechanisms and results of RES management, climate policy and decarbonization in different countries are compared.Results. Despite differences in approaches and strategic priorities, both Russia and China are making significant efforts to accelerate the transition to sustainable energy systems and reduce greenhouse gas emissions. However, China demonstrates a more active and ambitious RE policy and climate initiatives, while Russia is at an early stage of this process.Conclusions. The importance of global and regional cooperation in sharing experiences and technologies to achieve SD goals is emphasized. Both Russia and China demonstrate a growing understanding of the need to regulate SD, but their approaches and strategies differ depending on internal and external factors.

Analysing carbon impacts of green roof at Hilton Watford: life-cycle assessment approach

This paper investigates the environmental aspects and energy impacts of implementing a green roof system at the Hilton Watford hotel, utilising building information modelling software (Revit) for three-dimensional modelling and Insight for energy simulation. Following EN 15804:2012+A2:2019, the study employs life-cycle assessment methodology, focusing on embodied and operational carbon. Environmental Product Declarations, Inventory of Carbon and Energy database and the Royal Institution of Chartered Surveyors guideline inform embodied carbon calculations. The results show the green roof system releases 263 839.56 kgCO2e as embodied carbon, while its sedum layer sequesters 211 468.12 kgCO2e over a 50 year lifespan. Energy efficiency analysis indicates a 3.3 kWh/(m2/year) reduction in energy consumption, leading to a 112 130.31 kgCO2e reduction in operational carbon dioxide emissions, highlighting the environmental benefits of green roof adoption. The findings suggest a 0.35% mitigation of whole life-cycle carbon dioxide emissions, with greater impact in situations of lower insulation effectiveness, showcasing the potential of green roofs in reducing carbon dioxide emissions. Additionally, the green roof incurs a minimal financial burden, constituting only 0.51% of the overall project cost.

Utilization of used textiles for solid recovered fuel production.

One of the current important issues is the management of used textiles. One method is recycling, but the processes are characterized by a high environmental burden and the products obtained are of lower quality. Used textiles can be successfully used to produce SRF (solid recovered fuels). This type of fuel is standardized by ISO 21640:2021. In the paper, an analysis of used textiles made from fibers of different origins was performed. These were acrylic, cotton, linen, polyester, wool, and viscose. A proximate and ultimate analysis of the investigated samples was performed, including mercury and chlorine content. The alternative fuel produced from used textiles will be characterized by acceptable parameters for consumers: a lower heating value at 20 MJ/kg (class 1-3 SRF), mercury content below 0.9 µg Hg/MJ (class 1 SRF), and a chlorine content below 0.2% (class 1 SRF). However, the very high sulfur content in wool (3.0-3.6%) and the high nitrogen content in acrylic may limit its use for power generation. The use of alternative fuel derived from used textiles may allow 3% of the coal consumed to be substituted in 2030. The reduction in carbon dioxide emissions from the substitution of coal with an alternative fuel derived from used textiles will depend on their composition. For natural and man-made cellulosic fibers, the emission factor can be assumed as for plant biomass, making their use for SRF production preferable. For synthetic fibers, the emission factor was estimated at the level of 102 and 82 gCO2/MJ for polyester and acrylic, respectively.

Using Hydrogen to Decarbonize the Brick and Tile Industry

For a significant reduction of carbon dioxide (CO2) emissions, it is assumed that hydrogen (H2) will substitute natural gas in the upcoming years. Therefore, the operational limitations of the existing burner technology must be evaluated when the hydrogen content in the fuel is increased. To investigate the H2-readiness of typical burners, numerical simulations and experimental investigations were carried out in test facilities and in an industrial tunnel kiln system in the brick and tile industry. The results of the examination of the existing conventional burner for natural gas and an additive manufactured dual-fuel burner for natural gas and H2 will be presented. The investigations carried out so far suggest that it is possible to use H2 in addition to natural gas as a fuel gas for tunnel kilns in the brick and tile industry. Ongoing investigations by means of simulations and measurements of the industrial tunnel kiln will provide further insights into this.

Advancing infrastructure resilience: machine learning-based prediction of bridges’ rating factors under autonomous truck platoons

AbstractThe operational characteristics of freight shipment will significantly change after the implementation of Autonomous and Connected Trucks (ACT). This change will have a significant impact on freight mobility, transportation safety, and the sustainability of infrastructure. Truck platooning is an emerging truck configuration that is expected to become operational in the future due to the rapid advancements in connected vehicle technology and autonomous driving assistance. The platooning configuration enables trucks to be connected with themselves and the surrounding infrastructure. This arrangement has shown to be a promising solution to improve the vehicles’ fuel efficiency, reduce carbon dioxide emission, reduce traffic congestion, and improve transportation service. However, platooning may accelerate the damage accumulation of pavement and bridge structures due to the formation of multiple load axles within each platoon since those structures were not designed for such loads. According to AASHTO, bridges are designed based on a notional live load model comprised of one or two trucks per lane in conjunction with or separate from an applied uniform load (AASHTO, LRFD 2022). This damage, if accumulated, its repair would require billions of dollars from the government and would impede the movement of both people and goods. The potential damage to infrastructure may arise due to various factors such as the number of trucks in a platoon, gap spacing between trucks, and the type of trucks. This research work includes a thorough parametric study with 295,200 computer simulations using SAP 2000. The goal was to evaluate the effect of different truck platooning configurations on the load rating of existing bridges. The obtained results served as the dataset for training various machine learning models, including Random Tree, Random Forest, Multi-Layer Perceptron (MLP), Support Vector Regression (SVR), K-Nearest Neighbor (KNN), and Extreme Gradient Boosting (XGBoost). Results showed that Random Forest model performed the best, with the lowest prediction errors. The proposed machine learning model has shown its effectiveness in identifying optimal platooning configurations for bridge structures within the scope of the study. Graphical Abstract