Energy Consumption Gas Research Articles

6.Y.1. Defining, measuring, and reducing low-value care in Europe - proposing a new definition and framework

Abstract The EU Expert Group on Health Systems Performance Assessment (HSPA) selected value-based healthcare, with a focus on low-value care, as the work topic for 2023-2024. Against the backdrop of increasing healthcare expenditures and the overall aim to deliver high quality and efficient healthcare, efforts to reduce waste and inefficiencies have long been emerging in health systems worldwide. Value-based healthcare shifts the focus towards improving patient outcomes; the concept of low-value care in particular aims to identify health services that provide little or no health benefits but expose patients to potential harm. The COVID-19 pandemic clearly demonstrated that value-based healthcare is a prerequisite for high-performing health systems and the need to steer resource allocation to those services that maintain or improve health. The reduction in certain elective services observed during the pandemic (e.g. tonsillectomies) indicates that there may be areas for potential dis-investment and reallocation of resources to higher-value care. The pandemic has thereby emphasized the need for identifying and systematizing measurable efforts directed at reducing low-value care. Tackling low-value care can contribute to alleviating health workforce constraints by ensuring that efforts are focused where they are most beneficial, and not on unnecessary services. Engaging and educating the health workforce about low-value care and how to reduce it is a key measure in this direction. What is more, there is increasing awareness about the health sector’s considerable environmental footprint. Reducing low-value care would contribute to less greenhouse gas emissions, energy consumption and air pollution from the delivery of health services. Despite intensified efforts to address waste and inefficiencies in healthcare in the last decade, the ability of health systems in Europe to identify and reduce low-value care varies. Through the Expert Group’s work, a new comprehensive definition was proposed and a framework to distinguish different types of low-value care was developed as a basis for identifying and tackling low-value care in EU Member States. Indicators to measure low-value care as well as measures to reduce it were collected. This workshop aims to present the findings of the Expert Group´s work on low-value care and to discuss them with conference participants to both raise awareness and identify priority elements for future activities. After a brief introduction on the definition, framework, obstacles and solutions, the panelists will share their views and experiences, followed by a facilitated discussion with the audience. Key messages • A comprehensive definition of low-value care and an accompanying framework for categorizing and identifying low-value care is proposed. • Country experiences with indicators to measure low-value care and strategies to reduce it, as well as related methodological obstacles, offer substantial opportunities for cross-country learning.

Natural Gas Consumption Forecasting Based on Homoheterogeneous Stacking Ensemble Learning

Natural gas consumption is an important indicator of energy utilization and demand, and its scientific and high-accuracy prediction plays a key role in energy policy formulation. With the development of deep neural networks and ensemble learning, a homoheterogeneous stacking ensemble learning method is proposed for natural gas consumption forecasting. Firstly, to obtain the potential data characteristics, a nonlinear concave and convex transformation-based data dimension enhancement method is designed. Then, with the aid of a stacking ensemble learning framework, the multiscale autoregressive integrated moving average (ARIMA) and high-order fuzzy cognitive map (HFCM) methods are chosen as the base learner models, while the meta learner model is constructed via a well-designed deep neural network with long short-term memory (LSTM) cells. Finally, with the natural gas energy consumption data of national and 30 provinces (where the data of Xizang are unavailable) of China from 2000 to 2019, the numerical results show the proposed algorithm has a better forecasting performance in accuracy, robustness to noise, and sensitivity to data variations than the seven compared traditional and ensemble methods, and the corresponding model applicability rate could achieve more than 90%.

Greenhouse Gas Emissions and Energy Consumption in the Garments, Textile, and Dyeing Sectors in Savar, Dhaka (2019-2021)

Greenhouse gas (GHG) emissions, a key driver of global climate change, continue to rise due to industrial activities and fossil fuel reliance. This study evaluates energy consumption patterns and greenhouse gas (GHG) emissions from the garments, textile, and dyeing industries in Savar Upazila, Dhaka, from 2019 to 2021. Natural gas has been identified as the dominant energy source, contributing to a steady increase in GHG emissions from 64,920 tons in 2019 to 69,531 tons in 2021. Diesel and electricity consumption also contributed to emissions, with notable growth in the textile and dyeing sectors. Although minimal, solar energy adoption showed a positive upward trend, rising from 0.058 to 0.113 TJ during the study period, indicating a shift toward renewable energy sources. Despite this, the total GHG emissions rose from 129,015 tons in 2019 to 137,880 tons in 2021, emphasizing the need for cleaner technologies and more sustainable practices. The findings underscore the significance of enhancing energy efficiency and implementing renewable energy sources to mitigate the environmental impact of these industries.

Disaggregated Impact of Non-Renewable Energy Consumption on the Environmental Sustainability of the United States: A Novel Dynamic ARDL Approach

While there is a vast body of literature on environmental sustainability, the disaggregated impact of major non-renewable energy (NRE) consumption on the environmental sustainability of the United States (U.S.) is understudied, particularly in terms of using a load capacity factor (LCF) perspective. In this study, the above research gap is addressed using a dynamic autoregressive distributed lag (DYNARDL) model to analyze the heterogeneous impact of NRE consumption on the environmental sustainability of the U.S. from 1961 to 2022. Given the U.S.’s heavy reliance on energy consumption from NRE sources, this analysis provides an in-depth examination of the long-term effects of this energy consumption on the environment. Based on the analysis of the DYNARDL model, it is found that an increase of one unit of coal, natural gas, and petroleum energy consumption reduces environmental sustainability by 0.007, 0.006, and 0.008 units in the short-run and 0.006, 0.004, and 0.005 units in the long-run, respectively. However, one unit of nuclear energy consumption increases environmental sustainability by 0.007 units in the long-run. The kernel-based regularized system (KRLS) result reveals that coal and petroleum energy consumption have a significantly negative causal link with environmental sustainability, while nuclear energy consumption demonstrates a significant positive causal relationship. The research suggests the expansion of the use of nuclear energy by gradually reducing the utilization of coal and petroleum-based forms of energy, then natural gas, to improve environmental sustainability in the U.S., while considering the social and economic implications of efforts aimed at shifting away from the use of fossil fuels.

Climate risk and split ratings: evidence from Korea

ABSTRACT This study examines the effects of climate risk on split ratings. Numerous studies have examined the correlation between financial reporting quality and split ratings. However, few studies have explored the effect of business ethics on split ratings. Thus, this study focuses particularly on environmental factors within the broader context of Environmental, Social, and Governance (ESG), that have recently attracted significant attention. We conducted a multiple regression analysis of the impact of climate risk on split ratings using a dataset of companies listed on the Korea Exchange. The analysis indicates that climate risk, which encompasses a firm’s greenhouse gas emissions and energy consumption, contributes to the split ratings of corporate bonds. This observation implies that heightened exposure to climate risk amplifies the likelihood of split ratings owing to diminished accounting transparency resulting from practices such as earnings management and a decline in the quality of disclosures. This study not only expands the understanding of the determinants of split ratings theoretically, but also offers investors empirically supported insights into the relevance of considering climate risk in their investment and credit decisions. Furthermore, this suggests the necessity for government policymakers to establish a monitoring system aimed at alleviating potential information asymmetry issues for firms facing elevated climate risk.

The Review on Development of New Energy Vehicles in China: Characteristics, Factors and Impacts

Amidst the mounting environmental challenges posed by energy supply, the ascendancy of hybrid and electric vehicles (EVs) as important instruments capable of curbing greenhouse gas emissions and energy consumption has garnered attention. However, existing reviews largely predate the surge in new energy vehicle sales, and prevailing studies often narrow their focus, yielding gaps in the panoramic comprehension. Moreover, the remarkable surge of the new energy vehicle industry in China, galvanized by robust governmental support and technological strides, remains a relatively untrodden path in scholarly exploration. This article undertakes a comprehensive dissection encompassing the categorization, historical evolution, policy ramifications, and ecological reverberations of new energy vehicles within China. Notably, this work illuminates the interdependent nexus of governmental backing, technological ingenuity, and market forces, underscoring new energy vehicles' substantial contributions to abating carbon emissions and stewarding resource reservoirs. Employing predictive modeling, this study augments understanding by proffering insights into forthcoming ownership trends of new energy vehicles. In sum, this review bridges existing gaps in research, furnishing an all-encompassing vista of the new energy vehicle sector in China and its transformative power.

Enhanced solar urea synthesis from CO2 and nitrate waste via oxygen vacancy mediated-TiOx support lead-free perovskite

The nitrogen fertilizer industry, particularly urea production, notably contributes to greenhouse gas emissions and energy consumption. Urea synthesis via solar energy encounters several challenges. Specifically, solar urea synthesis methods often exhibit low efficiency and yield, primarily stemming from inefficient energy conversion processes and intricate reaction pathways. Moreover, the kinetics of the urea synthesis reaction may be sluggish, thereby impacting the overall production rate. Therefore, in this study, we introduce a novel electron-reserve-enhanced Cs2CuBr4/TiOx-Ar (CCBT-Ar) structure for the photocatalytic synthesis of urea from CO2 and nitrate waste. Theoretical calculations and spectroscopic analysis underscore the critical role of oxygen vacancies (Ov) within the amorphous TiOx shell, enhancing reactant adsorption and catalyzing the rate-determining step (*OCONH2→*HOCONH2). However, the presence of Ov also results in significant carrier recombination, acting as trapping centers and reducing urea production activity. Importantly, we demonstrate that in-situ-grown carbon nanosheets, in conjunction with TiOx, function as efficient electron reservoirs, markedly mitigating trapping-induced recombination and facilitating electron redistribution. These reserved electrons can then actively participate in the urea synthesis process. As a result, the electron-reserve-enhanced structure exhibits robust solar urea yield and selectivity, even in challenging wastewater conditions. This work provides a rational and innovative approach to catalyst development in complex solar synthesis, offering promising avenues for the sustainable production of value-added chemicals while concurrently reducing carbon emissions.

Utilization of biochar as a green additive in supersulfated cement: Properties, mechanisms, and environmental impacts

To promote the green development of building materials, this study develops a novel and sustainable method for incorporating coconut-derived biochar (BC) in supersulfated cement (SSC). Moreover, the solid waste desulfurized gypsum is used as a sulfate activator. The macroscopic experimental results show that the addition of 2 % biochar can reduce the fluidity of composites by 12.5 % but increase the 28-day compressive and flexural strength by 10.3 % and 19.1 %, respectively. Hydration heat analysis show that biochar can increase the maximum heat release of SSC. XRD patterns and TGA analysis indicate that 2 % biochar can improve the hydration degree of cement where the bound water content is increased by 8.9 %. SEM observations and 1H NMR spectrum suggest that although biochar can compact the microstructure, it increases the harmful and multiple harmful pores ratio. Furthermore, a comprehensive analysis considering greenhouse gas emissions, energy consumption, cost, fluidity, and mechanical properties is performed to evaluate the BC-SSC composites. The results prove that BC-modified SSC has significantly lower environmental pollution and resource consumption than ordinary Portland cement, but the cost may be increased.

Sustainable waste management: a comprehensive life cycle assessment of bioethanol production from agricultural and municipal waste.

Biofuels have emerged as a promising and eco-friendly alternative to conventional fossil fuels. Biofuel sourced from rice straw (RS) and municipal solid waste (MSW), which are abundant residues from agricultural and municipal activities, present a sustainable solution to address waste management challenges. Utilizing life cycle assessment, this study quantifies the environmental advantages by assessing the reduction in greenhouse gas emissions, energy consumption, and other environmental impacts linked with employing these waste materials for biofuel production. Employing a cradle-to-gate approach as the system boundary for bioethanol production, with the functional unit set as per liter of bioethanol produced, the analysis reveals that the global warming potential (GWP) for ethanol from MSW is 4.4 kg CO2 eq., whereas for RS, it is 2.1 kg CO2 eq. per functional unit. The total environmental impacts were primarily due to enzymatic hydrolysis and electricity consumption for ethanol production from MSW and RS. Despite advancements, fossil fuel consumption remains a potential energy source for biofuel production. The cumulative energy demand stands at 18.6 MJ for RS and 71.5 MJ for MSW per functional unit, underscoring the potential to significantly reduce overall impacts by transitioning to a more environmentally sustainable energy source. The uncertainty analysis acknowledges the inherent uncertainties associated with data, assumptions, and methodologies, highlighting the crucial need for ongoing research and updates to enhance the accuracy of future assessments. This analysis forms the foundation for well-informed decision-making, providing valuable insights for policymakers, industry stakeholders, and consumers.

Energy and Exergy Analysis of an Improved Hydrogen-Based Direct Reduction Shaft Furnace Process with Waste Heat Recovery

The traditional production mode using coal as the main energy source is not conducive to the sustainable development of the iron and steel industry (ISI). The hydrogen-based direct reduction shaft furnace (HDRSF) process is a feasible technical route for promoting the green development of the ISI. However, there is a lack of comprehensive analysis with respect to the energy utilization and process flow of the HDRSF method. To address these issues, a systemic material–energy–exergy model of HDRSF is established. An improved HDRSF process incorporating waste heat recovery is also proposed, and energy consumption intensity and exergy intensity are used as assessment metrics. This study’s findings indicate that the proposed waste heat recovery can considerably lower gas demand and energy consumption intensity, but exergy intensity has little effect. The reducing gas demand drops from 2083 m3 to 1557 m3, the energy consumption intensity drops from 2.75 × 107 kJ to 1.70 × 107 kJ, and the exergy intensity drops from 1.08 × 107 kJ to 1.05 × 107 kJ when the reducing gas temperature is 900 °C, H2:CO = 1:1; meanwhile, the recovery rate of waste heat reaches 40%. This study can serve as a reference for actual HDRSF process production.

Optimization framework for multi-fidelity surrogate model based on adaptive addition strategy—A case study of self-excited oscillation cavity

This study proposes a multi-fidelity efficient global optimization framework for the structural optimization of self-excited oscillation cavity. To construct a high-precision multi-fidelity surrogate model to correlate the structural parameters of a self-excited oscillation cavity with the gas precipitation and energy consumption characteristics by effectively fuzing the information of different fidelity levels, choosing different correlation functions and hyper-parameter estimation methods, and learning the correlation between the data. The optimization framework determines various sampling methods and quantities by calculating the minimum Euclidean distance between sample points and sensitivity index. To enhance computational efficiency, a multi-fidelity sample library is established by utilizing both precise and coarse computational fluid dynamics grids. The expected improvement criterion-based algorithm for global optimization is employed as an additive strategy to incorporate additional data points into the model. This approach considers both local and global search of the model, thereby enhancing sample accuracy while reducing computation time. Moreover, the utilization of the highly generalized Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for identifying the Pareto optimal solution set enhances convergence speed. The proposed optimization framework in this study achieves a remarkable level of model accuracy and provides optimal solutions even with a limited sample size. It can be widely used in engineering optimization problems.

Enhanced NOx reduction on CePO4 catalysts: Cu-loading, phosphotungstic acid, and insights from In-situ DRIFTs and DFT

This study investigates the effects of varying Cu/Ce doping ratios on the NH3-SCR denitrification efficiency using Cu-HPW/CePO4 catalysts, where CePO4 serves as the support and copper-doped phosphotungstic acid (HPW) acts as the active phase. The NH3-SCR reaction mechanism was studied by In-situ Diffuse Reflectance Infrared Fourier Transform Spectroscopy (In-situ DRIFTs) and Density Functional Theory (DFT). In-situ DRIFTs were employed to delve into the intricacies of adsorption and transformation dynamics at the surface sites of catalysts. This approach furnished a robust theoretical foundation aimed at augmenting the efficacy of low-temperature denitrification catalysts. DFT calculations were used to systematically investigate the reaction pathways, intermediates, transition states, and energy barriers over the HPW structure model to complete the NH3-SCR reaction. Empirical evidence suggests that modifying the catalysts with copper substantially enhances their denitrification efficacy and extends their operational temperature spectrum. A notable initial increase in denitrification efficiency was observed with increasing levels of copper modification, followed by a decline. Within the HPW-O15H site, the NH3-SCR reaction advances through both the E-R and L-H mechanisms, encompassing processes such as NH3 adsorption, intermediate formation and transformation, and product release.

Geopolymer Cement in Pavement Applications: Bridging Sustainability and Performance

Sustainability and the quest for a more robust construction material cannot be divorced from each other. While Portland cement has revolutionized the construction sector, its environmental toll, particularly in greenhouse gas emissions and global warming, cannot be ignored. Addressing this dilemma requires embracing alternatives like geopolymer cement/geopolymer binder (GPC/GPB). Over the last few decades, considerable strides have been achieved in advancing GPC as a sustainable construction material, including its utilization in pavement construction. Despite these advances, gaps still exist in GPC optimal potential in pavement construction, as most studies have concentrated on specific attributes rather than on a comprehensive evaluation. To bridge this gap, this review adopts a novel, holistic approach by integrating environmental impacts with performance metrics. To set the stage, this review first delves into the geopolymer concept from a chemistry perspective, providing an essential broad overview for exploring GPC’s innovations and implications in pavement applications. The findings reveal that GPC not only significantly reduces greenhouse gas emissions and energy consumption compared to Portland cement but also enhances pavement performance. Further, GPC concrete pavement exhibits superior mechanical, durability, and thermal properties to ensure its long-term performance in pavement applications. However, challenges to GPC utilization as a pavement material include the variability of raw materials, the need for suitable hardeners, the lack of standardized codes and procedures, cost competitiveness, and limited field data. Despite these challenges, the process of geopolymerization presents GPC as a sustainable material for pavement construction, aligning with Sustainable Development Goals (SDGs) 3, 9, 11, and 12.

Enhancing the efficiency of two‐stage cyclones without increasing pressure drop by optimizing inlet and outlet dimensions

AbstractEfforts to enhance cyclone separators aim to minimize gas energy consumption while improving separation efficiency. This study attempts to achieve this goal for cyclones arranged in series using straightforward methods. Experimental and numerical simulation analyses were performed to study the effect of matching inlet and outlet diameters on the performance of a two‐stage tandem cyclone separator. The results show that the matching method, in which the inlet gas velocities of both stages are higher than the outlet gas velocity, has a better separation efficiency. The efficiency and pressure drop models of the two‐stage cyclones in series were constructed using the response surface methodology (RSM) to obtain the optimal combination of inlet size and exhaust pipe diameter. Experimental tests showed that the accuracy of this model was reasonable. At different permitted pressure drops, the optimized structure revealed that: (1) The inlet area should be smaller than the outlet area for each cyclone stage. (2) The secondary inlet size (KA) should be as large as possible. (3) dr decreases while KA increases in each step.

Flexural durability of BFRP bars reinforced geopolymer-based coral aggregate concrete beams conditioned in marine environments

Geopolymer is an environmentally friendly material that utilizes industrial solid waste, boasting reduced greenhouse gas emissions and energy consumption. It exhibits superior performance in terms of corrosion resistance and thermal stability compared to ordinary Portland cement (OPC). These excellent properties are crucial for marine engineering construction, offering significant value and application potential in marine engineering materials. In this study, geopolymer was employed as the cementitious material, with marine resources like seawater and coral aggregates sourced from remote island areas effectively utilized, and basalt fiber-reinforced polymer (BFRP) bars were incorporated as reinforcements to develop BFRP bars reinforced geopolymer-based coral aggregate concrete (GPCAC) beams. Laboratory aging procedures were employed to investigate the deterioration patterns and damage mechanisms affecting the flexural behavior of GPCAC beams under seawater immersion and dry-wet cycling conditions, comparing them with cement-based coral aggregate concrete (CAC) beams. The experimental results indicated that both CAC and GPCAC beams under simulated marine environments experienced a reduction in the number of cracks upon damage, but their crack spacing and width increased. Moreover, the flexural stiffness of CAC and GPCAC beams after seawater attacks tended to increase, but this increased stiffness did not translate to a higher loading capacity. Conversely, as the corrosion age increased, the ultimate load and deflection values of both CAC and GPCAC beams decreased to varying extents, with the load-carrying capacity degradation more pronounced in seawater dry-wet cycling environments than in seawater immersion conditions. Compared to CAC beams, GPCAC beams exhibited superior resistance to seawater erosion. Following 12 months of seawater dry-wet cycling, the ultimate loading capacity of CAC beams decreased by 12.2%, while that of GPCAC beams only degraded by 9.5%. Predictions of the flexural capacity of GPCAC beams using equations from existing FRP-reinforced normal aggregate concrete (NAC) specifications indicated slightly higher values than the experimental values, with an error margin of less than 15%. Overall, the formulas for the flexural capacity of NAC beams in existing FRP-reinforced NAC codes remained applicable to CAC and GPCAC beams.

The Oil and Gas Industry in the Second Republic of Poland

The article reviews the most important statistical publications on the oil and gas industry in the Second Republic of Poland. The recommended sources allow an in-depth study of the development of this industry, the volume of oil and gas production and the scale of production of oil and gas derivatives. The article also discusses the personnel working in the energy industry, consumption and prices of oil and gas, investment works, etc. This warrants further and expanded research on the impact of the oil and gas sector on the overall socio-economic relations in the Second Republic of Poland. Furthermore, the essay offers an in-depth analysis of the diplomatic and economic relations of interwar Poland with other countries who were its trade partners. If we wish to refer to this heritage in a thoughtful way and draw on it for knowledge and experience, we need to understand it better.

Quantifying the environmental impact of transportation for plastic film packaging end-of-life: Landfill, incineration, physical recycling, or chemical recycling

This study assesses the often-overlooked environmental impact of waste transportation in the life cycle of polymer-based multilayer packaging (PMP) in New York State (NYS). Analyzing greenhouse gas emissions (GHG) and energy consumption, the research includes various waste management scenarios, including landfilling, incineration, material recovery facilities (MRF) with chemical recycling (CR), and retail return with CR. The study maps existing waste management facilities, calculates travel distances, and introduces a proposed central CR facility. Findings reveal that compared to landfilling, transportation GHG emissions are higher for incineration (64 %), MRF with CR (264 %), and retail return with CR (158 %). The research highlights the importance of well-distributed landfill locations over sparse CR and incineration sites, hindering plastic film recycling advancement in the US. The model introduces three new incinerators, reducing transport energy (28 %) and GHG emissions (31 %). This study stands as the most comprehensive assessment of transportation impacts on plastic film waste, offering a versatile model for research, policy, and facility siting.

Shedding Light on Financial Sustainability: Analyzing the Economic Implications of Energy-Efficient Lighting in the Construction Industry

Energy is widely recognized as a critical production factor across numerous industries. Energy efficiency is a method by which the expansion of energy consumption is managed and restrained. The main goal of this research is to investigate the financial implications of energy-efficient lighting in the building sector.The objectives of the paper were to: evaluate the current adoption and market share of energy-efficient lighting technologies in the construction sector, assess the economic impact of energy-efficient lighting, including cost-effectiveness, potential energy savings, and greenhouse gas emission reductions, analyze the effects of energy-efficient lighting on worker safety, productivity, and overall project costs in the construction sector, identify barriers to adoption and recommend policy changes and incentives to promote the widespread use of energy-efficient lighting in the construction sector in Pakistan.The methodology of the research follows the quantitative approach, data which was used to achieve the objectives includes literature, data sources, and project details on the construction industry from 2015 to 2021. Literature analysis and Data metrics were used to analyze of data.Studies found that energy-efficient lighting not only provides significant long-term cost savings but also improves environmental sustainability by lowering greenhouse gas emissions and energy consumption. Further, the literature analysis shows the beneficial relationship between adequate lighting and improved worker well-being as well as project efficiency, even though empirical data on these topics may be scarce.The study suggested that to overcome barriers and optimize the advantages of energy-efficient lighting, it is important to increase knowledge, provide financial incentives, improve access to eco-friendly construction materials, and strengthen compliance with building energy codes.

The Unsustainable Path: Assessing Indonesia’s Reliance on Fossil Energy in Economic Growth

Indonesia is the most energy-intensive country in Southeast Asia. Indonesia's energy consumption reaches 40 percent of the total energy consumption in the Southeast Asian region. This study aims to analyze the relationship between economic growth and energy consumption in Indonesia in 2000-2021. The variables used are oil and gas GDP, energy consumption, global price, net exports and imports, foreign investment, and domestic investment. The data used is obtained from macroeconomic data and requires stationarity testing. This study uses a quantitative research type to assess energy consumption and its relationship with oil and gas GDP in Indonesia with the Auto-Regressive Distributed Lag (ARDL) Model Approach. The results of this study indicate that increasing development and dynamic economic growth will be accompanied by increasing energy demand. The conclusion of this study is that the ARDL model estimation results show significant differences in the influence of variables on oil and gas GDP in Indonesia in the short and long term.

Environmental impact and damage assessment of oil trunkline transportation by life cycle assessment method

AbstractAs climate issues gradually attract public attention worldwide, the operation of crude oil pipelines has been attached with new emission‐reduction targets. Though previous studies concerning life cycle assessment (LCA) of oil and gas pipelines have estimated the carbon footprint to some extent, there is a lack of research on life cycle carbon emissions that take the process of crude oil pipelines transportation. the main objective of this study is to build a comprehensive LCA model of carbon footprint for crude oil pipeline systems. A gate‐to‐gate analysis is provided for the LCA model, which means that the entire pipeline's life cycle from the extraction to disposal is considered. The LCA approach used both midpoint and endpoint impact assessment methods to evaluate the environmental impacts of crude oil pipeline transportation in Iran. The study analyzed the major environmental impact categories, such as greenhouse gas emissions, energy consumption, water usage, and solid waste generation. The results showed that the crude oil pipelines transportation has significant environmental impacts in Iran. The three highest impacts on the midpoint scale are marine ecotoxicity by 61.54 kg 1,4‐DCB, terrestrial ecotoxicity by 52.26 kg 1,4‐DCB and fossil resource scarcity by 40.22 kg oil eq. The endpoint impacts of three stations were also compared. The Chamran, Abadan and Zanganeh stations have 95.44%, 94.22%, and 6% impacts on human health, respectively. Also, Abadan station has the largest amount of damage to ecosystems and resources with 96.65% and 80.02%, respectively. The findings of this study could be used by policymakers, oil companies, and other stakeholders to make informed decisions and implement strategies to reduce the environmental impact of oil transportation in Iran.