Carbon Intensity Reduction Research Articles

Environmental Sustainability in Dermatological Surgery. Part 1: Reducing Carbon Intensity.

This two-part review addresses the pressing need for environmental sustainability in dermatological surgery, driven by the NHS's commitment to net-zero emissions. Part 1 focuses on strategies to reduce the carbon intensity of dermatological procedures by adopting low-carbon alternatives and optimising operational resource usage. Key strategies for a system-wide reduction in environmental impact include using leveraging local suppliers to reduce transport emissions, streamlining care models, promoting efficient waste management, and using mindful prescribing practices. Another aspect is integrating sustainability into dermatological education whilst minimising the carbon footprint of surgical education. Additionally, the review provides a comprehensive overview of optimising resource use in dermatological surgery, focusing on efficient management of consumables, equipment, and energy. This includes recycling, waste segregation, transitioning to reusable personal protective equipment and surgical instruments, and applying energy-saving and sustainable water use practices. By implementing these strategies, dermatological surgery can significantly reduce its environmental impact while upholding high standards of patient care.

Integration of plant and microbial oil processing at oilcane biorefineries for more sustainable biofuel production

AbstractOilcane—an oil‐accumulating crop engineered from sugarcane—and microbial oil have the potential to improve renewable oil production and help meet the expected demand for bioderived oleochemicals and fuels. To assess the potential synergies of processing both plant and microbial oils, the economic and environmental implications of integrating microbial oil production at oilcane and sugarcane biorefineries were characterized. Due to decreased crop yields that lead to higher simulated feedstock prices and lower biorefinery capacities, current oilcane prototypes result in higher costs and carbon intensities than microbial oil from sugarcane. To inform oilcane feedstock development, we calculated the required biomass yields (as a function of oil content) for oilcane to achieve financial parity with sugarcane. At 10 dw% oil, oilcane can sustain up to 30% less yield than sugarcane and still be more profitable in all simulated scenarios. Assuming continued improvements in microbial oil production from cane juice, achieving this target results in a minimum biodiesel selling price of 1.34 [0.90, 1.85] USD∙L−1 (presented as median [5th, 95th] percentiles), a carbon intensity of 0.51 [0.47, 0.55] kg CO2e L−1, and a total biodiesel yield of 2140 [1870, 2410] L ha−1 year−1. Compared to biofuel production from soybean, this outcome is equivalent to 3.0–3.9 as much biofuel per hectare of land and a 57%–63% reduction in carbon intensity. While only 20% of simulated scenarios fell within the market price range of biodiesel (0.45–1.11 USD∙L−1), if the oilcane biomass yield would improve to 25.6 DMT∙ha−1∙y−1 (an equivalent yield to sugarcane) 87% of evaluated scenarios would have a minimum biodiesel selling price within or below the market price range.

Enhancing Portfolio Decarbonization Through SensitivityVaR and Distorted Stochastic Dominance

Recent trends in portfolio management emphasize the importance of reducing carbon footprints and aligning investments with sustainable practices. This paper introduces SensitivityVaR (SensitivityVaR), an advanced distortion risk measure that combines Value-at-Risk (VaR) and Expected Shortfall (ES) with the Cornish–Fisher expansion. SensitivityVaR provides a more robust framework for managing risk, particularly under extreme market conditions. By incorporating first- and second-order distorted stochastic dominance criteria, we enhance portfolio decarbonization strategies, aligning financial objectives with environmental targets such as the Paris Agreement’s goal of a 7% annual reduction in carbon intensity from 2019 to 2050. Our empirical analysis evaluates the impact of integrating carbon intensity data—including Scope 1, Scope 2, and Scope 3 emissions—on portfolio optimization, focusing on key sectors like technology, energy, and consumer goods. The results demonstrate the effectiveness of SensitivityVaR in managing both risk and environmental impact. The methodology led to significant reductions in carbon intensity across different portfolio configurations, while preserving competitive risk-adjusted returns. By optimizing tail risks and limiting exposure to carbon-intensive assets, this approach produced more balanced and efficient portfolios that aligned with both financial and sustainability goals. These findings offer valuable insights for institutional investors and asset managers aiming to integrate climate considerations into their investment strategies without compromising financial performance.

Carbon Emission Analysis of Low-Carbon Technology Coupled with a Regional Integrated Energy System Considering Carbon-Peaking Targets

Analyzing the carbon emission behavior of a regional integrated energy system (RIES) is crucial for aligning with carbon-peaking development strategies and ensuring compliance with carbon-peaking implementation pathways. This study focuses on a building cluster area in Shanghai, China, aiming to provide a comprehensive analysis from both macro and micro perspectives. From a macro viewpoint, an extended STIRPAT model, incorporating the environmental Kuznets curve, is proposed to predict the carbon-peaking trajectory in Shanghai. This approach yields carbon-peaking implementation pathways for three scenarios: rapid development, stable development, and green development, spanning the period of 2020–2040. At a micro scale, three distinct RIES system configurations—fossil, hybrid, and clean—are formulated based on the renewable energy penetration level. Utilizing a multi-objective optimization model, this study explores the carbon emission behavior of a RIES while adhering to carbon-peaking constraints. Four scenarios of carbon emission reduction policies are implemented, leveraging green certificates and carbon-trading mechanisms. Performance indicators, including carbon emissions, carbon intensity, and marginal emission reduction cost, are employed to scrutinize the carbon emission behavior of the cross-regional integrated energy system within the confines of carbon peaking.

Does the digital economy really help reduce industrial carbon intensity? Empirical evidence from intermediate inputs of digital products in China.

The booming digital economy is promoting industrial upgrading and transformation, providing an opportunity for the industrial low-carbon development. Based on input-output analysis and panel data regression, the impact of the input of intermediate digital products on Chinese industrial carbon intensity from 1997 to 2017 has been evaluated. The results reveal that the input of China's intermediate digital products can significantly reduce industrial carbon intensity, and significantly reduce the carbon intensity of non-energy-intensive industries. It has also been discovered that the input of intermediate digital product manufacturing can significantly reduce the carbon intensity of different types of industries, while the input of the intermediate digital products services industry has no significant effect on the reduction of industrial carbon intensity. Channel analysis shows that the input of the intermediate digital products can reduce industrial carbon intensity by improving productive efficiency and promoting innovative technology. In the current climate, it is especially necessary to increase the input of the intermediate digital product manufacturing industry in industrial development.

Imports and the CO2 emissions of firms

We explore how importing of intermediate goods affects the carbon intensity of firms in the Swedish manufacturing sector. By exploiting exogenous shocks to foreign export supply of intermediate goods, we estimate that a 10 percent increase in imports causes a 5.6 percent reduction in carbon intensity. Average carbon intensity among the firms in our sample between 2004 and 2016 decreased by around 50 percent, and our results suggest that import growth accounted for about a third of this decline. Exploring the mechanisms, we find evidence for both a technique effect and a product composition effect. Importing has a positive impact on productivity, scale of production, and abatement investments. It also encourages firms to focus more on their core products. We find no evidence for a pollution haven effect.

Decarbonizing natural gas infrastructure: blending hydrogen for sustainable energy

Abstract The paper explores the potential of hydrogen as a clean energy carrier and its integration into existing natural gas systems to reduce carbon intensity. It highlights the need for infrastructure impact studies and significant investment to realize the vision of green hydrogen. It also discusses the properties of hydrogen compared to natural gas, its production methods, and the potential for blending hydrogen into existing natural gas pipelines. Additionally, it provides insights into Egypt’s energy sector and its efforts to embrace renewable energy. It concludes by summarizing notable studies and projects related to hydrogen-natural gas blending. The blending of hydrogen into natural gas systems is an important and achievable first step towards full conversion to 100% hydrogen. The paper presents a compilation of hydrogen blending projects from different countries, showcasing the collaborative efforts and advancements in integrating hydrogen into existing energy systems.

Central environmental protection inspection, green technology innovation and carbon intensity of industrial enterprises – Empirical research based on multi-period differences-in-differences model

As a major institutional innovation of China's environmental governance system, weather the Central Environmental Protection Inspection (CEPI) can reduce carbon intensity is still unclear. This research takes 18,728 company-year sample observations of Chinese industrial A-share listed companies from 2009 to 2020 as the research object (CSMAR and CNRDS databases are used). Multi-period Differences-in-Differences model approach is employed to investigate the mechanisms through which the CEPI affects carbon intensity governance in industrial enterprises, the heterogeneous effects of CEPI are explored at macro, meso and micro levels. CEPI reduces the carbon dioxide emissions of industrial enterprises by 0.028 tons per 10,000 yuan of output value, CEPI achieves carbon intensity governance effect by incentivizing companies to enhance the quantity and the quality of green technological innovation. High level of public environmental oversight and industry competition, as well as nature of state-owned enterprises facilitate the CEPI's role in promoting the reduction of enterprise carbon intensity. The findings provide practical insights for driving green technological innovation among enterprises. Some policy implications are proposed. CEPI should be regulated to strengthen the environmental governance responsibilities of local governments and incentivize industrial enterprises to improve the quantity and quality of green technological innovation and reduce carbon intensity.

How to crack the impossible triangle of new energy coupled system——Evidence from China

This paper employs a four-dimensional coupled dynamic system and combines actual data from China to analyze the intrinsic connections and dynamic changes among new energy, economy, carbon emissions, and energy storage. The study reveals that new energy development faces an impossible triangle dilemma, wherein energy reliability, economy, and low carbon are difficult to achieve simultaneously. Although economic growth promotes new energy utilization, new energy development may inhibit economy at the initial stage. The development of new energy can effectively reduce carbon intensity. There exists a conflict between economic growth and carbon reduction, and a part of economic growth needs to be sacrificed to realize carbon emissions reduction. Further research indicates that market mechanism and government regulation are crucial for solving the energy trilemma, requiring coordinated efforts to achieve the optimal solution for energy, economy, and environmental goals. It is recommended to dynamically adjust the policy and market mechanism intensity based on the new energy industry's development stage. Increase government subsidies in the early stages and gradually transition to market dominance in the mid-term while improving market mechanism. In the field of energy storage, guide its participation in the electricity market to achieve scale development.

The impact of green bond issuance on carbon emission intensity and path analysis.

Reducing carbon emission intensity is crucial for achieving sustainable development. Carbon emission intensity is expressively affected by the issuance of green bonds. Thus, it is imperative to assess the influence of green bond issuance on carbon emissions and examine their correlation. Such research holds great potential to expedite the overhaul and modernization of businesses and to construct a circular economy system. This paper uses the spatial Durbin model to draw empirical conclusions by using data from 26 provinces in China between 2016 and 2021. Firstly, under different spatial matrices, it has been analyzed that an increase of 1% in the issuance of green bonds leads to a reduction of 0.306% or 0.331% in carbon emission intensity. It shows that green bonds have the potential to substantially reduce carbon intensity. Additionally, the intensity of emissions in the current period is driven by the intensity of emissions in the previous period. Secondly, the analysis of mediated transmission suggests that green bonds can ultimately reduce carbon emission intensity by changing the energy consumption structure or improving the efficiency of green technology innovation. Thirdly, the analysis of heterogeneity shows that the inhibitory effect of green bond issuance on carbon emissions is stronger in less economically developed regions than in economically developed regions. There is a significant inhibitory effect of green bond issuance in neighboring provinces on local carbon emission intensity. This effect is present only in provinces in less economically developed regions and not in economically developed regions.

Determinants of Carbon Emission- A Study in South Asian Countries

The rapid economic growth of South Asian countries, coupled with rising populations, has led to an increasing demand for energy, thereby posing significant challenges for sustainable development. This paper explores the importance of sustainable energy development in South Asia, highlighting its critical role in ensuring economic stability, environmental protection, and social equity. The United Nations has underscored this through its UNFCCC 2016 targets, transitioning from the Millennium Development Goals to the broader Sustainable Development Goals, with a heightened focus on mitigating climate change. In this context sustainable energy development is very important. This study focuses on the sustainable energy development status of South Asian Association for Regional Cooperation (SAARC) countries—Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. Utilizing 23 years of data (2000-2022), we employed Panel Data Analysis to investigate the determinants influencing carbon intensity in these nations. Our findings reveal that energy intensity, per capita renewable energy consumption and access to electricity significantly increase carbon intensity. Conversely, higher per capita income, a greater share of renewable energy in total consumption and increased per capita energy generation from fossil fuels correlate with a significant reduction in carbon intensity. The results suggest that enhanced collective efforts among SAARC countries are imperative for advancing sustainable renewable energy development.

The role of financial innovation in carbon intensity reduction: perspectives from energy structure transition and fiscal policies.

Carbon emissions are important factors causing global warming, which requires global efforts to deal with. In this paper, we investigate the mechanism of financial innovation on reducing carbon emissions in China by constructing a financial innovation development index with factors of green finance as well as fintech development. Empirical results show that financial innovation contributes to reduce carbon intensity by promoting energy structure transition as well as public fiscal expenditure on energy conservation and environmental protection. Moreover, heterogeneity exists in the effect of financial innovation on carbon emission reduction. Financial innovation has a significant role in reducing carbon intensity in eastern regions, but has a relatively small influence on central and western regions. Furthermore, financial innovation has a lag effect on reducing carbon intensity.

The influence of carbon emission trading on the optimization of regional energy structure

The optimization of the energy structure is a crucial element in the development of green and low-carbon economies and societies. Market-based environmental regulations, such as carbon emissions trading, play a significant role in facilitating this transition. This study analyzes panel data from 30 provinces in China from 2007 to 2020. It empirically examines the impact and mechanism of carbon emissions trading pilot schemes on the transformation of energy consumption structure at the macro level, using the difference-in-differences method. The research findings indicate that provinces with carbon emissions trading pilots have experienced significant reductions in carbon emissions and carbon intensity, demonstrating clear emission reduction effects. Additionally, the transformation process of energy consumption structure has been notably accelerated, highlighting the correlation between initial carbon emissions trading and the regional energy utilization framework. Furthermore, in our extended mechanism analysis, we introduce two new variables - green finance and environmental regulation. Our analysis reveals that the level of green finance in carbon emissions trading pilot provinces significantly influences the degree of carbon emissions in these areas. Additionally, environmental regulation has a significant positive impact on the optimization of energy consumption structure.

Small modular nuclear reactors: A pathway to cost savings and environmental progress in SAGD operations

Small Modular Nuclear Reactors (SMRs) offer a promising option for environmentally friendly bitumen recovery operations. The extraction of oil sands in Western Canada is vital for the economy, but traditional methods like Steam-Assisted Gravity Drainage (SAGD) contribute significantly to greenhouse gas (GHG) emissions. In SAGD, steam generation, primarily fueled by natural gas combustion, is the main source of emissions. Given the imperative to reduce carbon intensity, less emissive recovery methods are needed to sustain production and economic viability in Canadian oil sands. Currently, there are limited non-carbon alternatives for steam generation in oil sands applications. The utilization of SMRs for steam generation presents a clean alternative. In this study, we examine the feasibility of employing SMRs in in-situ oil sands recovery operations. Through standardized economic metrics and sensitivity analysis, we demonstrate that integrating SMRs into SAGD operations eliminates GHG emissions significantly and can potentially outperform conventional natural gas-based steam generation in terms of net present value, under certain operational scenarios. Hence, our findings indicate that SMRs hold promise for decarbonizing oil sands recovery processes.

Algae to HEFA: Economics and potential deployment in the United States

AbstractTo reach the goals set by the US Department of Energy's Sustainable Aviation Fuel (SAF) Grand Challenge, currently available feedstocks may be insufficient. Giving priority to developing, prototyping and reducing the cost of algal feedstock before investing and lining up locations is important. As the production of algal feedstocks advances, a simplified conversion approach using more mature technologies can help reduce the investment risk for algae‐based fuels. Reducing process complexity to the steps described here [namely, conversion of lipids to HEFA (hydroprocessed esters and fatty acids) fuels and relegating the remainder of the biomass to anaerobic digestion or food/feed production] enables the near‐term production of algal SAF but presents challenging economics depending on achievable cultivation costs and compositional quality. However, these economics can be improved by present‐day policy incentives. With these incentives, the modeled algae‐to‐HEFA pathway could reach a minimum fuel selling price as low as $4.7 per gasoline gallon equivalent depending on the carbon intensity reduction that can be achieved compared with petroleum. Uncertainty about algal feedstock production maturity in the current state of technology and the future will play a large role in determining the economic feasibility of building algae‐to‐HEFA facilities. For example, if immaturity increases the feedstock price by even 10%, SAF production in 2050 is about 58% of the production which could have been achieved with mature feedstock. Additionally, growth in this conversion pathway can be notably boosted through the inclusion of subsidies, and also through higher‐value coproducts or higher lipid yields beyond the scope of the process considered here.

Carbon emissions changes of animal husbandry in China: Trends, attributions, and solutions: A spatial shift-share analysis

China is a major livestock producer confronting the dual challenges of rising demand for animal-based food consumption and decreasing carbon emissions. To effectively address these issues, it is crucial to understand the trends of carbon emissions from animal husbandry and the competitive advantages of carbon emission reduction in different regions. This study uses panel data from 31 provinces from 2004 to 2020 to investigate the contributing factors to carbon emissions and explore ways to reduce carbon intensity in animal husbandry. The analysis employs spatial shift-share analysis and the spatial Durbin model. Our findings indicate that life-cycle carbon emissions associated with animal husbandry in China decreased from 572.411 Mt CO2eq to 520.413 Mt CO2eq over time, with an average annual decline of 0.568 %. The annual contribution of output value and internal industry-mix adjustment to carbon emission growth is 22.639 MT CO2eq and 6.226 MT CO2eq, respectively. On the other hand, the annual contribution of carbon efficiency improvement to carbon emission reduction is much higher, at 36.316 MT CO2eq. However, there is significant regional heterogeneity in the spatial decomposition of the carbon efficiency change component. The Northeastern region, Northwest and along the Great Wall demonstrate neighborhood advantages in enhancing carbon efficiency. In contrast, the South China and Southwest regions rely more on local carbon efficiency advantages to reduce the carbon intensity of animal husbandry. Furthermore, the carbon intensity in local and neighboring areas can be reduced through environmental regulations and industrial agglomeration. While technical progress significantly negatively impacts carbon intensity in neighboring regions, it does not contribute to reducing the carbon intensity of local animal husbandry. The findings provide valuable insights for local governments, aiding them in recognizing the pros and cons of carbon reduction in animal husbandry and strengthening regional cooperation in emission reduction management.

The Digital Economy and Carbon Intensity: Empirical Evidence from Chinese Cities

This study examines how the development of the digital economy affects urban carbon intensity. Using a sample of 281 prefecture-level cities in China from 2011 to 2021, we employ principal component analysis and entropy weighting analysis to assess the comprehensive level of digital economic development. Various models, such as benchmark regression, variable substitution, interactive fixed effects, robust standard errors with double clustering, and instrumental variables, are employed to empirically analyze the impact and mechanisms of digital economic development on carbon intensity in multiple Chinese cities. The results indicate that the development of the digital economy can reduce urban carbon intensity. Based on these findings, this paper puts forward policy recommendations to promote digital economic development and reduce carbon intensity, including increasing efforts in digital economic development and related infrastructure construction, narrowing the regional disparities in digital economic development, improving regulations and systems related to low-carbon development in the digital economy, and adapting to international economic and political development trends, in order to contribute to the achievement of the "dual carbon" goals.

Hybrid Technology Incorporated Into Colombian Heavy Oil Field Development Plan

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213199, “Incorporating Hybrid Technology of CSS and Foam in Heavy Oil Field Development Plans: Practical Experiences and Lessons Learned,” by Romel A. Perez, SPE, Hector A. Rodriguez, and Jorge E. Romero, Ecopetrol, et al. The paper has not been peer reviewed. _ A research and development project was conducted to study the use of preformed foams to improve cyclic steam stimulation (CSS). The field results showed benefits in incremental oil production, improvements in energy efficiency, and reduction in carbon intensity. Based on those outcomes, and with the goal of extending the production life of mature assets, the hybrid technology of CSS plus foam improvements was incorporated into the heavy oil field development plans of the Middle Magdalena Valley (MMV) basin in Colombia. Pilot Results: 2019–2022 CSS maturity is one of the major challenges in the MMV. Many wells report more than 10 steam cycles, decreasing oil productivity, and a trend of shorter steam cycles (less than 10 months). Most injected steam drained the higher-flow-capacity intervals based on the permeability contrast within the pay zone and openhole completions. Therefore, the bullhead injection of preformed foam improvements implemented before the steam cycle was proposed as part of a conformance strategy. The main goal of the pilot test was to demonstrate the efficiency of the hybrid technology, extend the production life of steam cycles, increase oil recovery, and improve energy efficiency and carbon footprint. The CSS pilot was implemented in six wells of the Teca-Cocorna field (Fig. 1). Performance was evaluated in terms of incremental oil, carbon intensity, and energy efficiency. A similar approach was proposed to evaluate energy efficiency and greenhouse emissions of CSS and hybrid CSS based on numerical simulations and the performance of two wells in Block D-80 in China. By the end of this stage, an incremental oil of approximately 32,000 STB was confirmed. Only one well recorded almost 50% of the total incremental oil of the pilot, and one well was only evaluated for 6 months because of a mechanical failure. Incremental oil recoveries and geochemical analysis confirmed the potential of this hybrid steam method to target unswept zones in idle or marginal wells operating since the 1980s. Additionally, the Teca-Cocorna pilot reduced carbon intensity and improved energy efficiency by 56% and 54%, respectively. The reduction of the carbon intensity from 83 (baseline) to 46 kg CO2/STB represents an important achievement in terms of environmental benefits and highlights the fact that the volume of natural gas used to generate steam was optimized by using less gas by extending steam cycles to a minimum of 9 months. In other words, the CCS/foam cycle can produce as much oil as two CCS cycles in the pilot wells.

Assessing Directions for Reducing Energy and Carbon Intensity of Manufacturing Large-Format Ceramic Stones

The article analyses the experience of enhancing energy efficiency and reducing greenhouse gas emissions in the ceramic production. Calculations and assessments are made using the example of the industrial site of Wienerberger Brick LLC, located in the Vladimir region, where large-format ceramic stones are produced. Authors emphasize that ceramic production is a branch of energy and carbon intensive industrial sectors, for which in various countries and regions, programmes and projects aimed at reducing energy consumption and emissions of greenhouse gases are developed and implemented. The article presents estimated global average data and data obtained as a result of carbon intensity benchmarking conducted within the course of reviewing of the Russian national Reference Document on Best Available Techniques “Ceramic manufacturing industry”) ITS 4-2023. Authors analyse the energy efficiency enhancement programme implemented by Wienerberger Brick LLC, and calculate energy-related emissions of greenhouse gases for 2015–2022. They demonstrate that the enterprise managed to achieve a significant reduction in energy and carbon intensity. It attained parameters that are significantly lower than the industry average, as well as the so-called indicative greenhouse gas emissions indicators established to encourage Russian enterprises to implement green projects. Authors conclude that experience described can be replicated by other companies, including those applying for government support measures for projects aimed at the implementation of Best Available Techniques, enhancement of energy efficiency and reduction of greenhouse gases emissions.

Carbon-neutral Existing Buildings Strategies

Background: The world screams for carbon-neutral pledge every day. Existing buildings (EBs) are a good starting edge. EBs account for more than one-third of greenhouse gas (GHG) emissions and use of more than half of the world’s energy as reported in the 2020 Global Status Report for Buildings and Construction. Without evolving effective strategies to transform the EBs into carbon-neutral structures, there is no chance of confronting this huge adverse impact on the climate. A carbon neutral building does not waste energy, uses less water, and produces as much energy as it consumes or uses renewables as their energy resource. Objective: This study aims to build up a new, easy, and practical carbon-neutral audit (CNA) rating tool to put forward carbon-neutral existing buildings (CNEB) strategies to reduce the GHG effect. Methods: This study responds to this pledge call to lay down the strategies to retrofit existing structures into carbon-neutral buildings. Carbon-neutral potentials of an existing building are the guidance for the setup of CNEB strategies. Assessing the carbon-neutral potentials in an EB is rarely touched in the past literature. With the help of a CNA scheme, an easy scanning rating tool, a list of carbon-neutral potentials can be built up for the instigation of the CNEB strategies. Results: The findings established that using the above CNEB strategies, a total of energy savings in a range of 45-65% can be achieved. Conclusion: This high energy savings will attribute a carbon intensity reduction in the range of 25-35%, thus triggering a gateway to decarbonisation of the EBs.