Reduction Of Greenhouse Gas Emissions Research Articles

Effect of iron-based nanomaterials on organic carbon dynamics and greenhouse gas emissions during composting process

Iron-based nanomaterials as effective additives can enhance the quality and safety of compost. However, their influence on organic carbon fractions changes and greenhouse gas emissions during composting remains unclear. This study demonstrated that iron-based nanomaterials facilitate the conversion of light organic carbon fraction into heavy organic carbon fraction, with the iron-based nanomaterials group showing a significantly higher heavy organic carbon fraction content (41.88%) compared to the control group (35.71%). This shift led to an increase in humic substance content (77.5 g/kg) and a reduction in greenhouse gas emissions, with CO2, CH4, and N2O emissions decreasing by 20.5%, 39.7%, and 55.4%, respectively. Additionally, CO2-equivalent emissions were reduced by 42.9%. Microbial analysis revealed that iron-based nanomaterials increased the abundance of Bacillus and reduced the abundance of methane-producing archaea such as Methanothermobacter and Methanomassiliicoccus. These results indicated that the role of iron-based nanomaterials in regulating reactive oxygen species production and specific microbial communities involved in humification process. This study provides a practical strategy for improving waste utilization efficiency and mitigating climate change.

Optimum carbon tax rate for emission targets of electricity generation system by life cycle techno-economic-environmental optimization model

Reduction of greenhouse gas emissions from the electricity sector is of special interest for decarbonization of energy systems. Optimum carbon tax as a powerful policy tool is here studied by integrated techno-economic-environmental life cycle analysis in a unit commitment problem. The present model is formulated as a bi-level optimization problem to reach the optimum carbon tax rates for different emission targets. The total life cycle CO2 emissions are estimated to be 20333.90 tons/hr in a real case study of Iran's electricity sector for the peak demand hour. The carbon tax rate for a 2% and a 3% emissions reduction is equal to 15.87 and 24.65 $/ton, respectively. In the business-as-usual scenario, higher carbon taxes will be required each year to meet the same emission target. However, developing the electricity sector with cleaner technologies and strategic plans may decrease the carbon tax rate. The extent of this reduction depends on the type of development program implemented in the green revolution scenario. Therefore, policy makers play a direct role in ensuring the sustainable development of the electricity sector. The present model provides a robust framework to analyze the real carbon tax rates for the whole life cycle of electricity generation dispatch.

Biochar for sustainable agriculture: Improved soil carbon storage and reduced emissions on cropland

Climate change, driven by excessive greenhouse gas (GHG) emissions from agricultural land, poses a serious threat to ecological security. It is now understood that significant differences exist in the responses of soil GHG emissions and soil carbon (C) sequestration to the application of different C-based materials (i.e., straw, organic manure (OM), and biochar). Therefore, elucidating the mechanisms by which differences in the properties of these materials affect soil GHG emissions is essential to comprehensively investigate the mechanisms through which variations in material properties influence soil GHG emissions. Herein, we conducted a field experiment to evaluate the responses of soil GHG emissions to cropland application of different C-based materials and employed molecular modeling calculations to explore the mechanisms by which differences in the properties of these materials affect soil GHG emissions. The results showed that biochar demonstrated superior resistance to biochemical decomposition and soil GHG adsorption capacity, leading to a significant reduction in soil GHG emissions due to its excellent physicochemical properties. The active surface properties of straw and OM enhanced their interaction with decomposing enzymes and accelerated their biochemical decomposition. Wheat-maize rotation with biochar application reduced CO2 emissions by 1089.8 kg CO2eq ha-1 and increased soil organic carbon by 141.8% compared to the control after one year. Collectively, these results contribute to the optimization of cropland application strategies for crop residues to balance soil C sequestration and soil GHG emissions, and to ensure sustainable agriculture and ecological security.

Numerical investigation and optimization of the ammonia/diesel dual fuel engine combustion under high ammonia substitution ratio

This study investigated the effects of initial temperature, equivalence ratio, and diesel injection timing on engine combustion and emission characteristics at high ammonia substitution ratios. Increased compression temperature and pressure significantly reduce ignition delay, enhance combustion speed and efficiency, and decrease N2O and unburned NH3 emissions. A strong correlation exists between the amount of N2O produced and the mass of unburned NH3 when ammonia combustion efficiency is high. The N2O distribution is concentrated near the cylinder walls and the bottom surface of the piston platform, in areas with high concentrations of unburned NH3. As the equivalence ratio increases from 0.6 to 0.75, flame propagation speed and indicated thermal efficiency (ITE) increase, while NOx, N2O, and unburned NH3 emissions decrease. The combustion performance and emissions were optimized by advancing the diesel injection timing and increasing the equivalence ratio to accelerate the combustion speed. This adjustment increases ITE to 47.6% at an 80% ammonia energy ratio. Post-optimization results show a reduction in unburned NH3 emissions from 51.7 g/kW·h to 5.9 g/kW·h and a decrease in N2O emissions from 0.930 g/kW·h to 0.370 g/kW·h, culminating in a 60.4% reduction in greenhouse gas (GHG) emissions.

Improving On-farm Energy Use Efficiency by Optimizing Machinery Operations and Management: A Review

AbstractThe energy use and emissions from direct fossil fuel combustion on-farms to power farm machinery was critically reviewed. Approximately, 15% of agricultural production costs on-farm are energy-related. A potential solution to more sustainable energy use is a shift toward biofuels from renewable resources. The reduction of greenhouse gas emissions through the substitution of diesel oil with biodiesel depends on the feedstock, the inter-esterification process, the storage period, and ambient conditions. In modern tractors, increased fuel use efficiency (or reduced fuel consumption) has been achieved by power/load matching and the use of variable transmission. Engine management systems that are capable of continuously communicating with the engine and transmission to make appropriate adjustments based on inputs received from the tractor allow for quick and precise responses to changing conditions. As a result, maximum efficiency and productivity can be obtained from the tractor operating similarly to the traditional ‘gear-up and throttle-back’ methods of a proficient operator. The future for autonomous tractors is promising, though not new. Electric-powered tractors are near to commercialization or are already commercially available. Hybrid electric driven tractors present some advantages in terms of increased energy use efficiency and functionalities. Increased efficiency can lead to a reduction in diesel fuel consumption and hence, a concurrent decrease in CO2 emission. Where the local electricity supply has a low-carbon emission factor, this can also result in significant emission reductions. Small light-weight robotic equipment can potentially perform functions currently undertaken by tractor-drawn and other heavy equipment with high-fuel consumption, provided field operating capacity was not compromised. However, the size and weight limitations inherent in current harvesting and transport technology mean that soil compaction will still be a problem with robotic units. The robotic operation of medium-scale equipment within a precision-controlled traffic farming environment should offer more feasible and energy-efficient alternatives.

A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction

Abstract The International Maritime Organization’s recent approval of the 2023 strategy on reduction of greenhouse gas emissions amplifies the pressure on stakeholders to achieve net-zero emissions in shipping by 2050. Considering the anticipated predominance of traditional single-fuel engines into the next decade, due to their high efficiency and economic benefits, the implementation of operational measures stands as the foremost effective method for mitigating emissions and reducing fuel consumption. Accurate fuel consumption prediction is crucial for informed decision-making and operational efficiency. This paper introduces an innovative hybrid model, combining an advanced physics-based model with an expert-augmented neural network, offering superior fuel consumption predictions. Expert knowledge is integrated into the neural network model to enhance its learning capabilities. Performance is validated against DNV Navigator Insight and publicly available fuel consumption reporting data, demonstrating superiority over purely data-driven and physics-based models. This hybrid approach bridges accuracy and scalability for sustainable maritime operations.

Changes in the Global Structure of Energy Consumption and the Energy Transition Process

The global energy transition represents a pivotal aspect of the pursuit of sustainable development and the reduction of greenhouse gas emissions. The objective of this study was to examine the dynamic relationships between global primary energy consumption and the consumption of individual energy sources (nuclear, oil, coal, natural gas, renewables) from 2011 to 2023. To examine both long-run and short-run relationships between variables, advanced econometric methods were employed, including the Johansen cointegration test and the Vector Error Correction Model (VECM). Furthermore, an Index of Sustainable Energy Transformation (ISTE) was devised to quantify the advancement of the transition to low-carbon energy sources. The analysis confirms the existence of long-term equilibrium relationships between global primary energy consumption and the consumption of individual energy sources. The analysis revealed that renewable energy consumption exerts a considerable influence on primary energy consumption, both in the short and long term. The ISTE index demonstrated a notable increase over the period of 2011 to 2023, indicative of advancement in the global energy transition. The results confirm the existence of a stable long-term equilibrium between global primary energy consumption and the consumption of individual energy sources. The observed increase in the ISTE index indicates progress towards low-carbon energy sources, which has important implications for energy policy and sustainable development. The results can support policymakers in monitoring the progress of the energy transition and shaping policies to accelerate the development of renewable energy sources.

Sustainable Cutting Environment Evaluation for Drilling of Aluminum A380 Foam Produced by Semisolid Recycling

The development of sustainable cooling technologies and increased concern for recycled materials will affect the reduction of greenhouse gas emissions, which primarily originate from the production industry. In this research paper, a twofold contribution to sustainability is made through the efficient application of a workpiece, obtained by recycling waste in the form of metal chips, and the machining of the obtained workpiece by using alternative cooling techniques comparing them to cutting fluids. Minimum quantity lubrication and cold compressed air cooling were selected as two sustainable, alternative cutting environments. Using Taguchi’s L9 orthogonal array, the influence of cutting speed, feed rate and cutting environment on drilling thrust force, built-up edge formation and hole deviation was observed. Using the analysis of variance method, feed rate was identified to have the highest influence on the output parameters (31%), followed by cooling and lubrication techniques (18%) and lastly by cutting speed (5%). Based on the grey relation analysis, optimal controllable factors were identified. This analysis indicated that low cutting speeds and feed rates, coupled with the MQL cutting environment, produced the lowest thrust force, deviation of hole and built-up edge formation.

A comprehensive review on agricultural greenhouse gas emission reductions in China: opportunities and challenges

China is the world’s largest carbon emitter. Reducing greenhouse gas emissions from agriculture, one of the main sources, is a channel for achieving China’s carbon peaking and carbon neutrality targets on schedule. To clarify the status and prospects of greenhouse gas (GHG) emissions reduction in Chinese agriculture, this paper focuses on macro-level factors such as policies, economy, society, and technology, meso-level factors such as agricultural digital transformation and carbon trading market construction, and micro-level factors such as individual farmers and household influences on agricultural emissions reduction. Therefore, this article examines the strengths, weaknesses, opportunities, and threats in China’s agricultural greenhouse emission reductions by SWOT. It is concluded that optimized industrial structure and technological progress are strengths, while weak low-carbon awareness among farmers and the limitations of traditional small-scale production methods are weaknesses. Aligning with national development direction, absorbing foreign experiences, and integrating with digitization are opportunities. The imbalance between the economy and emission reduction and the significant regional differences are the threats. Overall, China’s efforts are on the right track, but urgent action is needed to improve the quality of farmers and transform the agricultural economy, which requires fundamental changes. Based on this, suggestions are proposed for farmers, businesses, and government from four aspects: promoting and expanding pilot demonstration areas for agricultural carbon sequestration trading, building regionally superior agricultural products and specialty industries, synergistic cooperation for technology development and promotion, improving farmer educational level in the form of agricultural cooperatives, so as to help balance economic and environmental benefits in reducing agricultural GHG emissions.

Sustainable Practices in Brazilian Ports: Aligning with SDGs 9, 13, and 14

Objective: This study aimed to analyse the disclosure of the Sustainable Development Goals (SDGs) in reports published by ports and terminals with the highest cargo movements. Theoretical Framework: The research is grounded in key concepts of sustainability and sustainable development, focusing on the Sustainable Development Goals (SDGs), specifically SDG 9 (Industry, Innovation, and Infrastructure), SDG 13 (Climate Action), and SDG 14 (Life Below Water). Method: This exploratory and descriptive research employed content analysis of sustainability, integrated, and annual reports from Brazilian public ports (BPP) and private port terminals (PPT) to identify key sustainable practices aligned with SDGs 9, 13, and 14. Results and Discussion: The study highlighted the Brazilian port sector's focus on developing sustainable mechanisms, driven by technologies such as radars and cameras, and fostering investments in research and development, reinforcing a commitment to SDG 9. Likewise, initiatives targeting the reduction of Greenhouse Gas (GHG) emissions, enhancing operational efficiency, and supporting the energy transition were prominent, demonstrating alignment with SDG 13. However, fewer practices were observed for SDG 14. Research Implications: The findings have significant implications for both academia and the port sector. The clear focus on SDGs 9 and 13 within the Brazilian port industry underscores the sector's commitment to innovation and climate action. Conversely, the study revealed a substantial gap in practices aligned with SDG 14, despite the strong connection between ports and marine ecosystems.

A new strategy for greenhouse gas emission reduction in the anaerobic/anoxic/oxic biological treatment process using exogenous N-acyl-homoserine lactones, a quorum-sensing signaling molecules

ABSTRACT In this study, the impact of exogenous N-acyl-homoserine lactones (AHLs) on greenhouse gas (GHG) emissions in anaerobic/anoxic/oxic (A/A/O) systems was analyzed by manipulating the type and dosage of AHLs. The mechanism behind AHLs’ effects on GHG emissions was explored through changes in microbial community structure. Findings revealed that N-octanoyl-homoserine lactone (C8-HSL) and high-dose N-dodecanoyl-homoserine lactone (C12-HSL) increased GHG emissions, while low-dose C12-HSL decreased them. Moreover, C8-HSL and high-dose C12-HSL promoted methane (CH4) and nitrous oxide (N2O) production by affecting sludge particle size. Bacterial community analysis highlighted Acinetobacter and Flavobacterium's roles in N2O emissions and acetate methanogens in methane synthesis. Metabolic pathway analysis showed that the acetic acid (CH3COOH) methanogenic pathway was the main methanogenic pathway; C8-HSL and C12-HSL influenced methane emission by affecting the methanogenic pathway and N2O emission by changing nitrous oxide reductase (Nos) abundance. This research underscores AHL-based quorum sensing's potential in mitigating GHG emissions during activated sludge wastewater treatment, offering insights into their application and impact on key microbial activities. Limitations include the absence of methane emission reduction by signaling molecules and the need for further investigation into their effects on sludge accumulation.

Greenhouse-gas abatement on Australian dairy farms: what are the options?

The Australian dairy industry contributes significantly to the rural economy, but must reduce its greenhouse-gas emissions to remain competitive in a global market that is starting to prioritise a low carbon footprint. Demand for improved environmental, social and governance performance from supply chains creates an imperative for research to deliver options for farmers to make reductions in their environmental footprint. Given the rapidly evolving nature of greenhouse-gas abatement research, this critical review provides an update on the state of the research relevant to Australian dairy systems and identifies research gaps that must be addressed if there is to be widespread on-farm adoption. Current research suggests that Australian dairy farms could theoretically abate enteric methane by 40–50%, with about another 5–10% reduction in whole-farm greenhouse-gas emissions being possible by flocculating or covering stored effluent. Fertiliser- and urine-patch management strategies could substantially reduce direct and indirect nitrous oxide emissions, but by variable amounts subject to local conditions. However, few abatement options are currently cost-effective for farmers. Significantly more research investment is required to facilitate the on-farm adoption of strategies, particularly to reduce enteric methane and improve the efficiency of nitrogen cycling. Improved understanding is required of the influences on each strategy’s abatement potential and interactions with economically important traits in grazing systems, the effect of combining abatement strategies, and systems by which strategies can be implemented cost-effectively on farms. The challenge for research is to consider how the implementation of cost-effective abatement options can be refined for grazing dairy systems to maintain the position of Australian dairy in the global market.

Are Climate Change Strategies Effective in Managing Urban Water Resources? The Case of Portugal

This study examines the relationship between climate mitigation, adaptation strategies, and water management practices in Portugal from 2015 to 2021. Utilizing climate and water resource data from 2015 to 2021, including meteorological data (emperature, rainfall), wastewater treatment volumes, and energy efficiency metrics, the data are sourced from national agencies such as IPMA, ERSAR, APA, and Eurostat. The methodology employs correlation analysis to assess the relationships between climate variables (e.g., temperature, rainfall) and water resource indicators (e.g., reclaimed wastewater, energy efficiency). Despite notable reductions in greenhouse gas emissions and improvements in wastewater treatment efficiency, water resource stability remains a complex issue, particularly with regional disparities such as severe droughts in the Algarve. Additionally, the study evaluates the effectiveness of rainwater harvesting systems, reclaimed wastewater, and infiltration facilities, revealing a decline in reclaimed wastewater efficiency despite increased wastewater treatment. Rainwater harvesting systems (RWHSs) offer resilience, but their broader adoption is hindered by high costs and public perception challenges. Key recommendations include the development of resilient infrastructure, enhanced support for reclaimed water use, and increased investment in research to address water management challenges amid climate variability.

A hybrid metaheuristic and simulation approach towards green project scheduling

AbstractThis research tackles the environmental concern of greenhouse gas emissions in the execution of projects, with a focus on multi-site projects where the transportation of resources is a major source of emissions. Despite growing consciousness among consumers and stakeholders about sustainability, the domain of project scheduling has often overlooked the environmental impact. This paper seeks to bridge this oversight by exploring how to reduce greenhouse gas emissions during both project activities and resource transportation. A novel approach is proposed, combining a simulation model with an improved non-dominated sorted genetic algorithm. The simulation model incorporates the stochastic nature of emission rates and costs. This method is further refined with innovative techniques such as magnet-based crossover and mode reassignment. The former is a genetic algorithm operation inspired by magnetic attraction, which allows for a more diverse and effective exploration of solutions by aligning similar ’genes’ from parent solutions. The latter is a strategy for reallocating resources during project execution to optimize efficiency and reduce emissions. The efficacy of the proposed method is validated through testing on 2810 scenarios from established benchmark libraries, 100 additional scenarios adhering to the conventional multi-site problems, and a case study. The Best-Worst Method (BWM) is applied for identifying the best solution. The findings indicate substantial enhancements compared to traditional methods with a 12.7% decrease in project duration, 11.4% in costs, and a remarkable 13.6% reduction in greenhouse gas emissions.

Rethinking Natural Gas Infrastructure: How Non‐Pipe Alternatives are Shaping Utility Planning

As greenhouse gas (GHG) emission reduction efforts accelerate, utility regulators nationwide are rethinking the role of natural gas in reducing GHG emissions over current levels. A key strategy emerging in several states is the mandatory consideration of non‐pipe alternatives (NPAs); solutions that avoid the need for new natural gas hook‐ups. California, Massachusetts, New York, and Colorado are leading the effort, and other states like Maryland, Hawaii, Oregon, Minnesota, and New Jersey are not far behind. Before gaining approval for traditional new pipeline investments as opposed to pipeline replacement, regulators are requiring utilities to thoroughly analyze the costs and benefits of NPAs. This is compelling natural gas utilities to rethink their business models and find the most effective ways to present NPAs to regulators and customers. With this enhanced scrutiny and regulatory mandates that are increasingly focusing on sustainability, natural gas distribution utilities are at a crossroads. The challenge lies in adapting to these expectations and innovating scalable investments that will meet regulatory demands while driving the transition to a cleaner energy future.

Application of GIS in Introducing Community-Based Biogas Plants from Dairy Farm Waste: Potential of Renewable Energy for Rural Areas in Bangladesh

Dairy production is one of the most important economic sectors in Bangladesh. However, the traditional management of dairy cow manure and other wastes results in air pollution, eutrophication of surface water, and soil contamination, highlighting the urgent need for more sustainable waste management solutions. To address the environmental problems of dairy waste management, this research explored the potential of community-based biogas production from dairy cow manure in Bangladesh. This study proposed introducing community-based biogas plants using a geographic information system (GIS). The study first applied a restriction analysis to identify sensitive areas, followed by a suitability analysis to determine feasible locations for biogas plants, considering geographical, social, economic, and environmental factors. The final suitable areas were identified by combining the restriction and suitability maps. The spatial distribution of dairy farms was analyzed through a cluster analysis, identifying significant clusters for potential biogas production. A baseline and proposed scenario were designed for five clusters based on the input and output capacities of the biogas plants, estimating the location and capacity for each cluster. The study also calculated electricity generation from the proposed scenario and the net greenhouse gas (GHG) emissions reduction potential of the biogas plants. The findings provide a land-use framework for implementing biogas plants that considers environmental and socio-economic criteria. Five biogas plants were found to be technically and spatially feasible for electricity generation. These plants can collectively produce 31 million m3 of biogas annually, generating approximately 200.60 GWh of energy with a total electricity capacity of 9.8 MW/year in Bangladesh. Implementing these biogas plants is expected to increase renewable energy production by at least 1.25%. Furthermore, the total GHG emission reduction potential is estimated at 104.26 Gg/year CO2eq through the annual treatment of 61.38 thousand tons of dairy manure.

Green Energies: Biomass as an Energy Source in Brazil

Objective: To investigate the role of biomass as a renewable energy source in Brazil, highlighting its importance in the energy matrix and its potential to contribute to sustainability and waste management. Methodology: A bibliographic review was carried out in databases such as SciELO and Google Academic. The research focused on publications in Portuguese over the last five years, using inclusion criteria to select relevant articles. The analysis was divided into initial screening and detailed qualitative analysis, allowing a comprehensive understanding on the topic. Results and Data Analysis: The results indicate that biomass is a significant source of energy in Brazil, contributing to the diversification of the energy matrix and to the reduction of greenhouse gas emissions. The production of ethanol from sugarcane and the use of agricultural and forestry waste are particularly important. However, the research also points to challenges such as the need for adequate infrastructure and sustainable agricultural practices. Final Considerations: Brazil has vast potential to become a leader in green energy, especially biomass. The responsible promotion of this energy source, together with technological innovations and effective public policies, can ensure a sustainable energy future, contributing to environmental preservation and economic development.

Enhancing commercial building resiliency through microgrids with distributed energy sources and battery energy storage systems

Resilience analysis is gaining focus, but no extensive research exists for commercial buildings. This research presents the results of a novel analysis of the resiliency in commercial buildings by examining the relationship between electric microgrids, Distributed Energy Resources (DERs), and Battery Energy Storage Systems (BESS). As energy systems face increasing challenges, including extreme weather events and grid vulnerabilities, integrating microgrids, DERs, and BESS has emerged as a promising solution to strengthen the resilience of commercial buildings. Microgrids can harness renewable energy sources and reduce environmental impacts when integrated with DERs. Most literature studies focus on residential or commercial buildings with peak-valley tariffs and simplified electrical market models. In contrast, this study focuses on BESS’ pivotal role in DER output and ensuring uninterrupted power during grid disruptions and presents an innovative approach to analyzing resilience in commercial building microgrids and an economic optimization of commercial building microgrids with Time of Use tariffs utilizing DERS and BESS. The analysis includes the technical aspects of BESS integration and control strategies that optimize their operation. It also studies the economic and environmental benefits of microgrids, DERs, and BESS, focusing on cost savings, greenhouse gas emission reductions, and grid support services.

Alternative feedstocks for sustainable aviation fuels: Assessment of sugarcane-derived microbial oil

Pioneer facilities for Sustainable Aviation Fuels (SAF) convert fats, oils, and grease into hydrocarbons using the Hydroprocessed Esters and Fatty Acids (HEFA) technology. However, limited feedstock availability and sustainability concerns may restrict broader adoption. Biotechnology offers an alternative by enabling microbial oil production from sugars, expanding the feedstock portfolio with more productive biomass sources or waste materials. This study assessed the economic and environmental impacts of SAF production through HEFA using microbial oil from sugarcane, combining achievable fermentation performance with mature catalytic conversion. The results demonstrated SAF costs between $1.83 and $3.00 per liter and over 50 % reduction in greenhouse gas emissions compared to fossil fuels. Sensitivity analysis identified fermentation performance as the key factor driving these outcomes. Additionally, this approach yielded higher SAF per hectare than soybean-oil-based HEFA, potentially reducing emissions from land-use change.

Using salience and availability to promote sustainable and healthy food choices in hospital cafeterias

Sustainable diets can achieve considerable reductions in greenhouse gas emissions and improvements in human health, but changing dietary behavior remains a challenge. We assessed the impacts of two behavioral insights strategies on bridging the intention-action gap related to sustainable and healthy food choices amongst hospital cafeteria patrons. In a pilot survey of hospital staff (N = 1,165), 56% identified limited awareness and availability of sustainable food as barriers to purchasing, although 46% were extremely willing to try sustainable dishes. We examined increasing salience (Study 1), varying availability (Study 2a), and decreasing availability (Study 2b) on sustainable and healthy dish purchases in three hospital cafeterias. Each study ran for seven weeks from March to April, 2023. In total, 10,616 dishes were purchased. In Study 1, increasing salience was associated with significant uptake of sustainable and healthy dishes, but the effect disappeared once the salience intervention was removed. In Study 2a, increasing availability of sustainable dishes corresponded to a significant increase in purchases of sustainable dishes, while decreasing availability in Study 2b followed a downward trend in purchases, suggesting that availability drove dietary choices. We recommend hospitals consider these choice architecture interventions to support the adoption of sustainable and healthy diets.