Global Emissions Research Articles

Synergetic enzymatic reactive crystallization of cefaclor catalyzed by PGA

In the context of the severe global carbon emission crisis, green and sustainable enzymatic reactions are garnering widespread attention in the industry. However, these processes still face numerous challenges, such as limitations imposed by reaction equilibrium, product decomposition, and inhibition. Product removal via crystallization has the potential to address these issues. More importantly, crystal product properties can be directly manipulated during enzymatic reactive crystallization (ERC), such as polymorphic purity, size, and morphology in a single batch. In the synthesis of cefaclor catalyzed by penicillin G acylase (PGA), primary and secondary hydrolysis greatly limited the efficiency of the reaction. Thus, ERC was performed to combine the advantages of green enzymatic reactions and controllable direct crystallization. Initially, a supersaturated solution of the substrate was established, and cefaclor crystals were seeded to the enzymatic reaction system at a proper time. Subsequently, operating parameters were adjusted to facilitate selective crystallization of cefaclor. It is noteworthy that both immobilized and free enzymes were examined in our research. Ultimately, cefaclor crystals with purity exceeding 99% were obtained directly. The yield of cefaclor reached as high as 88%. It is believed that this method held significant promise for the green and efficient production of high-purity cefaclor and demonstrated considerable potential for application in more similar pharmaceutical scenarios.

Quantitatively unveiling the role of coastal wetlands in regulating eutrophication and enhancing water environmental capacity

Human activities have intensified the global challenge of coastal eutrophication. Recently, water resource managers have encountered difficulties in formulating precise pollutant reduction strategies to mitigate coastal eutrophication. Despite the recognized importance of coastal wetlands and pollution sources in influencing coastal nutrient levels, accurately quantifying their impact remains difficult. To address this challenge, this study introduces a novel approach for optimizing water environmental capacity. A coupled model integrating hydrodynamics, water quality, and wetland nutrient mechanisms was developed to simulate the spatio-seasonal distribution of water, sediment, and vegetation nutrients in a semi-enclosed bay (Liaodong Bay, China) and a large-scale coastal wetland (Liaohe estuary wetland, China). Model parameters and simulation results were calibrated and validated using extensive long-term field investigations and laboratory experiments. The average root mean square errors between simulated and observed values for all validation points were as follows: 0.80mgL-1, 0.53mgL-1, 0.08mgL-1, 6.70μgL-1, and 0.50μgL-1 for dissolved oxygen, chemical oxygen demand, dissolved inorganic nitrogen, dissolved inorganic phosphorus, and chlorophyll-a, respectively. The total nitrogen (TN) and total phosphorus (TP) in the sediment were 0.10gkg-1 and 0.05gkg-1, respectively. For Suaeda salsa, the TN and TP were 2.91gkg -1 and 0.08gkg -1, respectively. For Phragmites australis, the TN and TP were 114.22gkg -1 and 6.21gkg -1, respectively. The results suggest that excessive river discharge and a stable residual circulation structure contribute to the persistent eutrophication in Liaodong Bay. The Liaohe estuary wetland enhances the environmental capacity of dissolved inorganic nitrogen and dissolved inorganic phosphorus in Liaodong Bay to 271±31tyr-1 and 8±1tyr-1, respectively, accounting for 1.8±0.2% and 1.3±0.2% of their respective environmental capacities. The reduction in dissolved inorganic nitrogen concentration is significant, with a maximum decrease of 0.17mgL-1. The maximum contributions of atmospheric deposition and aquaculture wastewater to dissolved inorganic nitrogen concentration are 0.08mgL-1 and 0.03mgL-1, respectively, with higher contributions in spring and summer than in fall and winter. These findings highlight the critical role of coastal wetlands in mitigating eutrophication and underscore the need for spatio-seasonal water management programs. This work serves as a model for effectively reducing global coastal pollution emissions.

Role of supply chain digitalization and global supply chain in decarbonization of natural resources sector supply chain

Environmental management and decarbonization are becoming increasingly critical as industries seek sustainable development paths that align with global climate targets. As businesses aim to reduce their carbon footprint, integrating effective environmental strategies with technological advancements is essential. This necessitates a clear understanding of digital technologies and environmental policies to drive decarbonization efforts. In this context, this study explores the role of digitalization in reducing carbon emissions in the natural resources sector supply chain. Furthermore, it examines the role of supply chain mapping as a mediator in the relationship between supply chain digitalization and supply chain decarbonization efforts, providing a novel perspective on how technology can intersect to foster environmental sustainability. This research targets the metal sector supply chain, a significant contributor to global carbon emissions. The data for the study was gathered through a questionnaire administered to 246 employees from various levels of the metal industry in China. We employed Covariance-based Structural Equation Modelling (CB-SEM) using AMOs for analysis. Our results show that level digitalization of supply chain processes in the metal sector has a profound and direct impact on its supply chain decarbonization. Digital technologies facilitate more efficient resource use, improved energy efficiency, and the adoption of cleaner production methods. Importantly, the study identifies supply chain mapping as a crucial mechanism through which digitalization exerts its positive influence on decarbonization. Through detailed mapping, organizations can gain visibility over their entire supply chain, identifying carbon hotspots and opportunities for improvement that digital solutions can address. The novelty of this study lies in its systematic exploration of how supply chain mapping serves not just as a tool for transparency and efficiency but as a strategic facilitator of the beneficial impacts of digitalization on decarbonization.

Artificial Intelligence in Climate Change Mitigation: A Review of Predictive Modeling and Data-Driven Solutions for Reducing Greenhouse Gas Emissions

Artificial Intelligence (AI) is increasingly recognized as a powerful tool for addressing the challenges of climate change. Its ability to process vast amounts of data and generate advanced predictive models positions AI as a key player in efforts to reduce greenhouse gas (GHG) emissions and develop sustainable solutions. This review delves into the multifaceted role of AI in climate change mitigation, highlighting its potential in several critical areas. Firstly, AI is revolutionizing predictive climate modeling by providing more accurate forecasts and simulations, enabling better-informed policy and decision-making. Secondly, it is optimizing energy systems through smart grid management, demand forecasting, and the integration of renewable energy sources, thereby enhancing energy efficiency and reducing reliance on fossil fuels. Furthermore, AI is advancing carbon capture and storage technologies by improving the identification of optimal sites and enhancing process efficiency. In environmental monitoring, AI-driven solutions are enabling real-time detection and analysis of environmental data, contributing to more effective conservation efforts. This review also presents case studies and data that demonstrate the tangible impact of AI applications in driving progress towards global emission reduction targets. However, the adoption of AI in this domain is not without challenges. Issues such as data privacy, algorithmic transparency, and the ethical implications of AI deployment need to be carefully addressed. The paper concludes by outlining future research directions and emphasizing the need for interdisciplinary collaboration to fully harness the potential of AI in combating climate change.

Control Structures for Combined H2/Electricity from Offshore Wind Turbines

Wind energy proves to be a highly favourable choice for electricity generation due to its clean and renewable nature, and is playing a significant role in reducing global greenhouse gas emissions. Offshore wind turbine systems have gained widespread popularity as they can capitalise on elevated and consistent wind speeds surpassing those found in onshore locations, resulting in increased energy efficiency. Furthermore, offshore wind power possesses the potential to emerge as a significant electricity source for the production of green hydrogen. As water electrolysis technology for hydrogen production continues to advance, utilizing offshore wind power for hydrogen generation is becoming more economically viable and practical. Offshore wind power with higher wind speeds in combination with efficient control structures presents an attractive option for electricity generation and hydrogen co-production. This paper aims to present and evaluate four different production structures for combined H2/energy generation from offshore wind turbines. Previous research studies in this area often overlook control structures and lack information on power converter operations. In contrast, this article studies control structures that enable proper functionality and ensure adequate interoperability, enhancing the reliability of renewable energy integration. Each structure, including both wind turbines and electrolyser, is described in detail, along with the corresponding controllers. Simulation results are presented for each structure and controller to demonstrate their effective operation.

On the chemistry of the global warming potential of hydrogen

Hydrogen (H2) is considered a promising fuel to contribute to net-zero carbon emission goals. While hydrogen itself is not a greenhouse gas, leakage of hydrogen fuels causes indirect warming due to hydrogen’s influence on methane, tropospheric ozone, and stratospheric water vapor, with the methane term dominating the impact. Some studies consider a simple four-equation box model to explore the climate consequences of leakage from hydrogen fuel use relative to methane, while others have employed much more detailed global photochemical models. Here we use a comprehensive photochemical box model including 66 reactions to show and quantify how the analogous four-equation system is missing a critical OH feedback, leading it to overestimate the time-integrated methane response to a pulse of hydrogen by over 100%. We estimate a hydrogen global warming potential (GWP) relative to carbon dioxide of 28−11+18 on the 20-year time horizon and 10−4+7 on the 100-year time horizon based on the 66-reaction model and information from the literature. GWPs provide a measure of the relative global warming impact of emission of one gas compared to a selected reference gas per unit mass emitted. While CO2 is generally chosen for the reference, any gas can be used. We present the GWP of H2 using CH4 as the reference, as this choice cancels out some uncertainties that are common to both H2 and CH4. The GWP for H2 relative to CH4 from fossil fuel sources is 0.35−0.06+0.13 on time horizons beyond 15 years; put differently, we find that relative to an equivalent mass of emission of fossil CH4, hydrogen emission has a climate impact about three times smaller. These global warming potentials underscore that hydrogen leakage does contribute to climate change, emphasizing the importance of limiting both hydrogen and methane leakage if global net-zero greenhouse gas emissions are to be achieved by 2050.

Reducing the climate impact of food choices with comparable nutritional quality: a randomised trial

Abstract Background Diets largely contribute to the global disease burden, and a third of global warming emissions. We assessed the climate footprint reduction effect of framing the climate impact of diets as a collective action problem (social dilemma), compared or in combination with a reflective intervention (information) and a choice architecture intervention (nudge). Interactions with lifestyle factors were examined. Methods A randomised 2X2X2 between-subjects online experiment was conducted among university students ≥18 years, enrolled at a Swiss university, and not following a medically prescribed diet. The outcome was the mean climate footprint of food choices (in kg CO2-eq), based on a Life Cycle Assessment. Meals varied in climate footprints while adhering to the Swiss dietary guidelines. Results This analysis focused on the subset of meat eaters (n = 1691). Median age was 24 years, and 59.85% (n = 1012) were female. Seven intervention groups resulted in significantly lower climate footprints compared to the control. The social dilemma plus a nudge menu was the most effective behavioural intervention leading to 20.20% footprint reduction (b = -1.20 kg CO2-eq) compared to the control group (Mcontrol=5.94, SDcontrol=2.76; Mdilemma+nudge=4.74, SDdilemma+nudge=2.09 t(436) = -5.10, p < 0.001). Lifestyle factors linked to a higher climate footprint of food choices included adhering to a low-calorie diet (b = 1.21 kg CO2-eq, p < 0.05), or a muscle gain diet (b = 2.12 kg CO2-eq p < 0.05) and practising physical activities (PA) while adhering to a muscle-gain diet (Aerobic/Cardio: 3.82 kg CO2-eq, p < 0.05; Muscle-strengthening: 2.24 kg CO2-eq, p < 0.05). Conclusions The combination of reflective collective action communication and menu nudges is an effective strategy to mitigate the climate footprint of food choices in education institutions. Adherence to a muscle-gain diet was identified as a critical but manageable lifestyle factor linked to a higher climate footprint. Key messages • The dilemma plus a nudge was the most effective to reduce the climate footprint of food choices. • This combined intervention can manage the high climate footprints linked to lifestyle factors.

1.G. Scientific session: Forecasting dietary habits trends, human and planetary health

Abstract Extensive research has elucidated that dietary factors are pivotal in influencing both human health and the ecological stability of the planet. Suboptimal dietary patterns are implicated in over 10 million annual fatalities attributable to non-communicable diseases. Concurrently, the agricultural sector, a major component of food production, contributes significantly to environmental degradation. This sector is responsible for more than a quarter of global greenhouse gas emissions and utilizes approximately 50% of the planet’s habitable land. Moreover, it accounts for over 70% of global freshwater consumption and is a primary contributor to marine ecosystem disruption through nutrient runoff leading to ocean eutrophication. Despite these critical linkages, current global trends related to dietary practices show little alignment with the improvements needed to achieve the Sustainable Development Goals set for 2030. The existing policy framework and interventions lag considerably in addressing these concerns. Historical and ongoing discussions have repeatedly highlighted these issues, yet the allocation of resources necessary to counteract the pervasive influence of industry-driven marketing promoting less healthful dietary choices remains markedly inadequate. There is an urgent need to intensify dialogues and enhance the conceptual framework regarding the role of diet in sustaining global health and environmental integrity among public health professionals. Such measures are crucial for facilitating a shift towards more sustainable and health-promoting dietary habits globally. The EUPHA Food and Nutrition Section, the Chronic Diseases Section, in collaboration with the World Health Organization (WHO) Regional Office for Europe, aim to propose a joint workshop to share innovative research and activities held in the context of diet and environment. The workshop aims to provide new findings and stimulate the debate about the projections for the future of human and planetary health. Key messages • Human health and environmental preservation require an adaptation of dietary habits globally: are we going in the right direction? • Current evidence suggests that there is an wide area of intervention to improve actual dietary habits, reduce the environmental impact, and improve human health.

Air quality modeling intercomparison and multiscale ensemble chain for Latin America

Abstract. A multiscale modeling ensemble chain has been assembled as a first step towards an air quality analysis and forecasting (AQF) system for Latin America. Two global and three regional models were tested and compared in retrospective mode over a shared domain (120–28° W, 60° S–30° N) for the months of January and July 2015. The objective of this experiment was to understand their performance and characterize their errors. Observations from local air quality monitoring networks in Colombia, Chile, Brazil, Mexico, Ecuador and Peru were used for model evaluation. The models generally agreed with observations in large cities such as Mexico City and São Paulo, whereas representing smaller urban areas, such as Bogotá and Santiago, was more challenging. For instance, in Santiago during wintertime, the simulations showed large discrepancies with observations. No single model demonstrated superior performance over others or among pollutants and sites available. In general, ozone and NO2 exhibited the lowest bias and errors, especially in São Paulo and Mexico City. For SO2, the bias and error were close to 200 %, except for Bogotá. The ensemble, created from the median value of all models, was evaluated as well. In some cases, the ensemble outperformed the individual models and mitigated extreme over- or underestimation. However, more research is needed before concluding that the ensemble is the path for an AQF system in Latin America. This study identified certain limitations in the models and global emission inventories, which should be addressed with the involvement and experience of local researchers.

Environmental impact analysis of ajmaline challenge protocols: a comparative assessment of carbon footprint reduction in Brugada Syndrome diagnosis

Abstract Background Climate change is an urgent public health crisis that significantly impacts disease development and health outcomes. The 2022 Lancet Countdown Report revealed that healthcare contributes with 5.2% of global emissions, prompting a call for environmentally conscious approaches. In this context, we explored the environmental impact of different ajmaline challenge protocols, aiming to contribute to a more sustainable medical landscape. Purpose This study aims to compare the carbon footprint of two ajmaline challenge protocols commonly used in diagnosing Brugada syndrome, an inherited cardiac disorder associated with sudden cardiac death. Methods We performed a retrospective and observational analysis of adult patients (pts) who underwent ajmaline testing between March 2020 and June 2023 in two hospitals. In Group A (infusion protocol), 1mg/kg of ajmaline diluted in 50 mL of 5% glucose solution was infused in 10 minutes, up to the target dose, until a positive result or termination criteria ensued. In Group B (bolus protocol), 10 mg of ajmaline were administered every 2 minutes, again up to the target dose of 1mg/kg (maximum of 100 mg) or test interruption was indicated. Greenhouse gas emissions resulting from material processing were estimated based on life cycle analyses of each product's composition. Material consumption, waste production, and direct measurement of weights were considered. Results A total of 101 pts were included, 49 pts in group A with a mean age of 47.3±14.3 years old and 52 patients in group B with a mean age of 43.9±16.6 years-old. No complications were observed in either group. Test performance was not evaluated, since both protocols have been previously validated. Group A, utilizing the infusion method, exhibited a higher environmental impact, producing 18.19 kg CO2eq, compared to 6.23 kg CO2eq (p<0.001) in Group B (bolus protocol). Group B not only demonstrated a 66% reduction in CO2eq emissions but also used significantly less plastic (16g vs 102g per test) and glass (1.58 kg vs 1,79Kg), emphasizing its environmental superiority. Conclusions Shifting from infusion to bolus in ajmaline challenge protocols results in a substantial reduction in carbon footprint. Our findings emphasize the potential impact of adopting more dematerialized approaches in cardiac testing, urging healthcare professionals to embrace sustainable practices. Despite the study's limited sample size, the global adoption of such environmentally friendly strategies promises significant positive effects on healthcare's environmental footprint.

Health burden and costs attributed to the carbon footprint of health systems in the European Union

Abstract Background Health systems have an environmental impact of around 4.6% of global emissions, contributing to aggravating the climate crisis. However, the health impact of the carbon emissions originated by health systems is not regularly assessed. We aim to estimate the health burden and associated costs of the carbon footprint of health systems across the European Union (EU). Methods We calculated DALYs and associated costs based on human health damage factors (DALYs/kg-CO2e) by considering four scenarios. Three scenarios for shared socioeconomic pathways (S1 - high growth, S2 - baseline, and S3 - low growth) represented variations of global society, demographics, and economics until 2100. A fourth scenario (S4) considered the current EU’s 55% reduction goal of greenhouse gas emissions. The healthcare sector’s emissions per capita (in CO2-equivalent) in 2019 were extracted from the Lancet Countdown, and population data were retrieved from Eurostat for the same year. Results In the EU, 365,047 DALYs (95%CI: 194,692-535,403) are expected to be caused by health systems’ emissions at baseline (S2). In an S1 scenario, the burden would slightly decrease to 315,374 DALYs (95%CI: 170,355-462,393), whereas a S3 scenario would increase 486,730 DALYs (95%CI: 243,365-681,422). If EU’s carbon goals are met, the burden could be substantially reduced to 164,271 DALYs (95%CI: 87,611-240,931). The monetisation of DALYs can result in costs amounting to 25.6 billion euros. Conclusions CO2 emissions from health systems are expected to significantly impact human health. It is therefore of the utmost importance to ensure that EU climate policies for healthcare buildings are in line with the Paris Agreement. This will require the implementation of climate mitigation programmes within the health sector and a review of clinical practices at the local level. Key messages • The carbon footprint of health systems is estimated to significantly impact health, with high economic burden. • EU climate policies for healthcare buildings and procurement must be aligned with the Paris Agreement.

Observed carbon decoupling of subnational production insufficient for net-zero goal by 2050

Historically, economic growth has been closely coupled to carbon emissions responsible for climate change, but to stabilize global mean temperature, net-zero carbon emissions are necessary. Some economies have begun to reduce emissions while continuing to grow, but this decoupling is not fast enough to achieve global climate targets. Subnational climate actions seem to be crucial for the achievement of these targets. Here, we uncover the effectiveness of subnational efforts by estimating decoupling rates and CO2 emission intensities over the last three decades for over 1,500 subnational regions, encompassing 85% of global emissions, using global data on reported economic output and gridded production-based emissions. Thirty percent of regions with available data have fully decoupled, with higher-income and historically carbon-intensive regions exhibiting higher rates of decoupling and declining emission intensity. Countries of the Organization for Economic Co-operation and Development with greater spending on subnational climate actions show higher decoupling rates, as do subnational regions in EU countries where climate policies have been implemented, highlighting the effectiveness of subnational policies. Moreover, subnational analysis reveals greater variance of decoupling rates within national boundaries than between them and that countries with weaker governance typically show higher variance of decoupling within their borders. If recent rates of production-based carbon decoupling continue, less than half of subnational regions would reach net-zero before 2050, even when accounting for observed acceleration via socioeconomic development and assuming no interregional carbon leakage.

HOW DOES THE DIGITAL ECONOMY AFFECT ENERGY EFFICIENCY?

As a new way of promoting high-quality economic development, whether the digital economy can enhance energy use efficiency by improving resource allocation is of great practical significance to global energy conservation and emission reduction efforts. This research employs principal component analysis and slacks-based measure data envelopment analysis in a case study of 30 provinces in China between 2014 and 2020 to evaluate the digital economy and energy efficiency. The analysis explores how the digital economy impacts energy efficiency, considering direct impacts, mediating effects, and their nonlinear relationship. The findings indicate a declining trend in China’s energy efficiency before it starts to moderate. The digital economy can boost energy efficiency by encouraging industry upgrades and reducing labor mismatches. The threshold regression model reveals that when the capital mismatch level exceeds 0.8871, the digital economy adds considerably to energy efficiency. The study’s findings confirm the linear and nonlinear energy efficiency impact trajectories of the digital economy, offering useful references for sustainable development policymaking.

A Review on the Effective Utilization of Organic Phase Change Materials for Energy Efficiency in Buildings

Energy efficiency is critical for achieving building sustainability because it means that fewer resources are consumed. In this context, the advancement of phase-changing materials has attracted attention with regard to the integration and management of energy efficiency in construction projects. Buildings consume 40% of the global energy output annually, accounting for one-third of the global greenhouse gas emissions. For hot weather-prone construction, PCMs should have a melting temperature of 25–50 °C. For more than 30 years, researchers worldwide have experimented with PCMs at various temperatures, but few studies have been conducted in hot or harsh environments. According to recent studies, the amount of PCMs in construction materials has been limited to 20%, and exceeding this ratio was shown to significantly affect the compressive strength of concrete specimens. In this study, various phase-changing concrete materials were investigated to reduce the thermal energy consumption of buildings. This paper aims to provide an overview of the current state-of-the-art phase change materials for constructing thermal energy storage building materials. It also includes a brief review of the most recent developments in phase change technologies and their encapsulation techniques based on thermophysical properties. Implementing PCM technology in buildings will also maintain good indoor air quality. These materials are widely used in various real-time applications to significantly enhance thermal comfort in buildings.

Textile Recycling: Efficient Polyester Recovery from Polycotton Blends Using the Heated High-Ethanol Alkaline Aqueous Process

Textile production has doubled in the last 20 years, but only 1% is recycled into new fibers. It is the third largest contributor to water pollution and land use, accounting for 10% of global carbon emissions and 20% of clean water pollution. A key challenge in textile recycling is blended yarns, such as polycotton blends, which consist of polyester and cotton. Chemical recycling offers a solution, in particular, alkali treatment, which hydrolyzes polyester (PET) into its components while preserving cotton fibers. However, conventional methods require high temperatures, long durations, or catalysts. Our study presents, for the first time, the heated high-ethanol alkaline aqueous (HHeAA) process that efficiently hydrolyzes PET from polycotton at lower temperatures and without a catalyst. A near-complete PET hydrolysis was achieved in 20 min at 90 °C, while similar results were obtained at 70 °C and 80 °C with longer reaction times. The process was successfully scaled at 90 °C for 20 min, and complete PET hydrolysis was achieved, with a significantly reduced liquid-to-solid ratio, from 40 to 7 (L per kg), signifying its potential to be implemented in an industrial context. Additionally, the cotton maintained most of its properties after the treatment. This method provides a more sustainable and efficient approach to polycotton recycling.

Geo-based fabrics: using earthen materials for wearables

ABSTRACT Over 50% of synthetic textiles in existence originate from polyester derived from petroleum oil. Synthetic textiles make up over 65% of global circulating textiles and the industry is known for being highly pollutant, resource wasteful, and responsible for nearly 10% of global carbon emissions annually. One prominent solution to the industry’s negative environmental impact is to develop alternative textiles for garment and architectural fabric applications. This paper presents a novel development of earth – and bio-based wearable textiles coined as BioMud Fabric which consists entirely of bio-based materials; 65% of which is clay-rich raw soil. More specifically, the material integrates raw soil with naturally occurring bio-based plastics to create a flexible, lightweight and biodegradable fabric. The research methodology includes a mix-design analysis, using electron microscopy, and a macro-scale structural characterisation using tearing tests. The final demonstrations showcase speculative design applications which serve to expand the possibilities of the material through fashion.

Hybridization of Concentrated Solar Thermal, Geothermal, and Biomass: Case Study on Kizildere-2 Geothermal Power Plant

The usage of fossil fuel in the energy sector is the primary factor for global GHG emissions, so it is crucial to better utilize RE sources. One way to do that is to hybridize RE technologies to make up for their deficiencies while enabling a more synergistic power production. This study utilizes such an approach to hybridize the KZD-2 Geothermal Power Plant (GPP) with CST and biomass in the southwest region of Turkiye. The main motivation is to address the two main issues of GPPs—excess turbine capacities happening over the operating years and decreasing performance during hot summer months—while also increasing the flexibility of KZD-2. A topping cycle of CST–biomass is added utilizing a PTC field as the CST technology and olive residual biomass combustion as the biomass technology. The hybrid plant is simulated on TRNSYS, and the energetic data show that it is possible to generate more than 20 MWe of additional power during sunny and clear sky conditions while also increasing the Capacity Factor (CF) from 69% to 74–76%. Moreover, the financial results show that the resulting LCOAE is 81.19 USD/MWh, and the payback period is five or nine years for using the YEKDEM incentive or the spot market prices, respectively.

CO2 Emissions Estimate From Mexico City Using Ground‐ and Space‐Based Remote Sensing

AbstractThe Mexico City Metropolitan Area (MCMA) stands as one of the most densely populated urban regions globally. To quantify the urban emissions in the MCMA, we independently assimilated observations from a dense column‐integrated Fourier transform infrared (FTIR) network and OCO‐3 Snapshot Area Map observations between October 2020 and May 2021. Applying a computationally efficient analytical Bayesian inversion technique, we inverted for surface fluxes at high spatio‐temporal resolutions (1‐km and 1‐hr). The fossil fuel (FF) emission estimates of 5.08 and 6.77 Gg/hr reported by the global and local emission inventories were optimized to 4.85 and 5.51 Gg/hr based on FTIR observations over this 7 month period, highlighting a convergence of posterior estimates. The modeled biogenic flux estimate of −0.14 Gg/hr was improved to −0.33 to −0.27 Gg/hr, respectively. It is worth noting that utilizing observations from three primary sites significantly enhanced the accuracy of estimates (13.6 29.2%) around the other four. Using FTIR posterior estimates can improve simulation with the OCO‐3 data set. OCO‐3 shows a similar decreasing trend in FF emissions (from 6.37 Gg/hr to 6.36 and 5.04 Gg/hr) as FTIR, but its correction trends for biogenic sources differ, changing from 0.37 to 0.48 Gg/hr. The primary reason is OCO‐3's lower temporal sampling density. Aligning the FTIR inversion timing with that of OCO‐3 yielded comparable corrections for FF emissions, yet discrepancies in biogenic emissions persisted, which can be attributed to their different sampling locations in the rural region and discrepancy in X observations. Our findings mark a significant step toward validating OCO‐3 and FTIR inversion results in metropolitan region.

Investing in green, sustaining the planet: The role of fintech in promoting corporate green investment in the Chinese energy industry

In recent years, fintech has rapidly developed on a global scale, bringing about significant transformations across various industries. Particularly in the energy sector, the potential of fintech to promote corporate green investment has increasingly become a focus. As the energy industry accounts for a significant proportion of global greenhouse gas emissions, guiding companies in implementing green investment has become an important issue for environmental protection and sustainable development. However, previous studies have rarely systematically investigated the influence of fintech on corporate green investment in the energy industry and the mechanisms involved. Hence, this study aims to bridge this research gap within the context of China. By utilizing valid survey data from 466 corporations in the Chinese energy industry and the method of structural equation modeling, the results indicate that: (1) Fintech can promote corporate green investment in the energy industry. (2) Fintech can promote corporate data-driven decision-making capability, information transparency, and sustainable development strategy. (3) Data-driven decision-making capability, information transparency, and sustainable development strategy can also promote corporate green investment in the energy industry. (4) Mediation analysis reveals that data-driven decision-making capability, information transparency, and sustainable development strategy each play a mediating role in the impact of fintech on corporate green investment. (5) Comparative analysis of the mediation effects indicates that there is a certain degree of difference among these three variables’ mediating effects, but it did not reach a statistically significant level. This study provides rich insights for business practices, encouraging companies to strengthen their focus on green investment in the fintech era and offer guidance and recommendations to relevant stakeholders, thereby providing practical guidance for corporate green transformation and sustainable development. Finally, this research also contributes to policy development and optimization.

The United European Gastroenterology green paper-climate change and gastroenterology.

Climate change, described by the World Health Organization (WHO) in 2021 as 'the single biggest health threat facing humanity', causes extreme weather, disrupts food supplies, and increases the prevalence of diseases, thereby affecting human health, medical practice, and healthcare stability. Greener Gastroenterology is an important movement that has the potential to make a real difference in reducing the impact of the delivery of healthcare, on the environment. The WHO defines an environmentally sustainable health system as one which would improve, maintain or restore health while minimizing negative environmental impacts. Gastroenterologists encounter the impacts of climate change in daily patient care. Alterations in the gut microbiome and dietary habits, air pollution, heat waves, and the distribution of infectious diseases result in changed disease patterns affecting gastrointestinal and hepatic health, with particularly severe impacts on vulnerable groups such as children, adolescents, and the elderly. Additionally, women are disproportionally affected, since climate change can exacerbate gender inequalities. Paradoxically, while healthcare aims to improve health, the sector is responsible for 4.4% of global carbon emissions. Endoscopy is a significant waste producer in healthcare, being the third highest generator with 3.09kg of waste per day per bed, contributing to the carbon footprint of the GI sector. Solutions to the climate crisis can offer significant health co-benefits. Steps to reduce our carbon footprint include fostering a Planetary Health Diet and implementing measures for greener healthcare, such as telemedicine, digitalization, education, and research on sustainable healthcare practices. Adhering to the principles of 'reduce, reuse, recycle' is crucial. Reducing unnecessary procedures, which constitute a significant portion of endoscopies, can significantly decrease the carbon footprint and enhance sustainability. This position paper by the United European Gastroenterology aims to raise awareness and outline key principles that the GI workforce can adopt to tackle the climate crisis together.