Greenhouse Gas Emissions Research Articles

Groundwater stress in Europe—assessing uncertainties in future groundwater discharge alterations due to water abstractions and climate change

Groundwater sustains human well-being and ecosystems functioning. Many regions in Europe have experienced declining groundwater levels caused by decreasing groundwater recharge (GWR) or increasing groundwater abstractions (GWAs). These changes can lead to groundwater-related stress, threatening ecosystems and water supplies. Existing groundwater stress indicators estimate stress during a given period but do not address how stress changes or show the uncertainty of future stress. We propose a novel indicator of future groundwater stress (GWSI) due to changes in GWR and GWA and, thus, the alteration of long-term mean annual groundwater discharge (GWD). Groundwater stress is defined as any alteration in GWD since ecosystems are adapted to an equilibrium state. Focusing on decreasing GWD, which is generally more harmful than increasing GWD, we quantified the future GWSI in Europe by integrating scenarios of GWR and GWA in 2070–2099. GWR was evaluated using an ISIMIP2b multi-model ensemble of eight global hydrological models driven by the output of four global climate models under two greenhouse gas emission scenarios. GWA scenarios for irrigation, domestic and manufacturing sectors were combined with the GWR projections to generate an ensemble of GWSIs, simplified into three groundwater stress scenarios (high, intermediate, low). Projected GWSIs vary significantly among the scenarios. For the high-stress scenario, 58% of Europe’s land area is projected to experience a GWD decrease of at least 25% under RCP8.5 compared to 38% under RCP2.6, while the respective values are 26 and 1% for the intermediate-stress scenario. Groundwater demand management alone might not prevent GWD declines under the high-stress and intermediate scenarios, particularly under RCP8.5. Therefore, climate change mitigation might imperative for reducing the decline of GWD, especially in Eastern and Southeastern Europe, where changes in GWR are projected to be the primary cause of declining GWD (in the high abstraction scenario under RCP8.5). Under RCP2.6, reductions in GWAs by 25–75% might balance a GWD decline in parts of Spain and Italy where GWAs are high, even in the high-stress scenario. In line with the precautionary principle, we recommend adapting to the high-stress scenario to minimize harm to the beneficiaries of groundwater.

Modeling and Analyzing Carbon Emission Market Volatility and Impact: Evidence from Guangdong Province, China

This research investigates the volatility of carbon prices in Guangdong’s emission trading market, a critical element of China’s broader climate strategy aimed at reducing greenhouse gas emissions and promoting sustainable development. This study applies ensemble empirical mode decomposition (EEMD) to analyze the complex interactions between carbon price fluctuations and various economic factors, including energy prices and environmental regulations. By decomposing the data, we identify key trends and cycles within the market, providing a clearer understanding of both short-term volatility and long-term market trends. Our findings reveal that regulatory policies play a pivotal role in shaping carbon market dynamics, with shifts in regulations leading to significant price volatility. Additionally, fluctuations in global energy prices, especially oil and coal, are found to have a considerable impact on carbon price movements, further complicating the market’s stability. This underscores the interconnected nature of the carbon trading market with broader economic and environmental factors, both domestic and international. The findings provide valuable insights for policymakers and market participants, underscoring the importance of stable carbon markets for promoting the transition to a low-carbon economy and achieving broader sustainability goals.

Effect of Cashew Nutshell Extract, Saponins and Tannins Addition on Methane Emissions, Nutrient Digestibility and Feeding Behavior of Beef Steers Receiving a Backgrounding Diet

The beef industry contributes to greenhouse gas emissions through enteric methane emissions, exacerbating climate change. Anacardic acid in cashew nutshell extract (CNSE), saponins and tannins (ST) are plant secondary metabolites that show promise in methane mitigation via antimicrobial effects, potentially exerting changes in ruminal fermentation patterns. This study examined the impact of CNSE, ST, and their combination on methane emissions, digestibility, intake, and performance of sixteen Angus crossbred steers (347 ± 30 kg) receiving a backgrounding diet (70:30 corn silage: cottonseed burrs). The study used a 4 × 4 Latin square design (4 steers, 4 treatments, 4 periods) with a 2 × 2 factorial arrangement, including the main effects of additive (CNSE or ST) fed individually or combined. Thus, steers received the following treatments: (1) no additive, (2) CNSE only, (3) ST only, or (4) both (CNSEST). Non-supplemented steers registered eight more feedbunk visits/d than ST-steers and spent an extra 10 min/d on the feedbunk. The addition of ST tended to increase dry matter, organic matter, and neutral detergent fiber intake. Additives fed individually reduced CP digestibility. Intake of the carrier containing CNSE only was lesser and coincided with a greater methane yield in that treatment. Digestibility and methane mitigation were improved after CNSEST compared with individual inclusion, suggesting synergistic reactions enhanced methane mitigation effects in fibrous diets without affecting the digestibility of nutrients nor animal growth performance.

Paper waste and carbon emissions from oral contraceptive leaflets.

Oral contraceptives (OC) are the most used form of contraception among women in the U.S. and Europe. Like other medications, their packaging must include patient information leaflets. This study quantifies the environmental impact of paper waste generated by these leaflets. We conducted an observational analysis, measuring the weight of leaflets, pills, and packaging components across various OC brands. Significant variations in leaflet weights were observed. On average, leaflets accounted for 55% of the package weight, while pills and blister dispensers represented only 32%. The mean weight of OC leaflets was 12.3 ± 5.5 grams (4.7-21.9 grams), leading to an estimated annual paper waste of 6,118.4 tons, 5,763.5 tons of carbon dioxide equivalent emissions, and the use of approximately 146,841 trees for production. Standardizing leaflet weight to the lightest reported can reduce annual waste by 3780.5 tons of paper. This study highlights the substantial environmental cost of the waste generated from OC leaflets and proposes practical strategies to mitigate waste, including electronic leaflets and standardized packaging. Targeting these materials presents a significant opportunity to enhance sustainability, aligning with global efforts to reduce greenhouse gas emissions from the healthcare sector.

Integration of renewable energy-powered cold storage solutions for reducing post-harvest food waste in rural agricultural areas

Post-harvest food loss remains a critical challenge in rural agricultural areas, exacerbated by inadequate storage facilities and unreliable energy access. This study develops and optimizes an advanced renewable energy-powered cold storage system tailored for rural settings, integrating solar and wind energy with phase change materials (PCMs) for efficient energy storage. The system incorporates Internet of Things (IoT)-based sensors and artificial intelligence (AI)-driven energy management to maintain optimal storage conditions and enhance energy efficiency. Field trials conducted in Lincolnshire, UK, and Appalachian regions of the US demonstrated significant reductions in post-harvest food loss by an average of 43.5%, extensions in produce shelf-life by up to 300%, and increased income for smallholder farmers by approximately 43%. The system also achieved an 80% reduction in greenhouse gas emissions compared to conventional diesel-powered systems. Economic analyses revealed a shorter payback period and higher return on investment, confirming the system's viability. High user satisfaction and adoption rates indicate the system's practicality and potential for widespread implementation. The findings suggest that integrating renewable energy with smart technologies in cold storage solutions offers a scalable and sustainable approach to enhancing food security, promoting economic growth in rural areas, and supporting environmental objectives globally.

Greenhouse gas emissions from inland water bodies and their rejuvenation: a review

ABSTRACT Inland water bodies are observed as major sources of the emissions of greenhouse gases (GHGs) including carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). This study shows that these entities (e.g. wetlands, constructed wetlands, reservoirs, lakes, ponds, and rivers) have a major contribution in GHG flux. However, understanding of the carbon dynamics of these water bodies is not well described. It was noticed that the emissions of GHGs from inland water bodies is a result of heavy supply of organic matters into them. Approximately 2.2–3.7% of the Earth's non-glaciated land area and inland waters are having almost similar amounts of carbon emission as also observed in case of both net terrestrial productivity and net oceanic uptake. Wetlands and lakes are among the most studied water bodies. However, efforts should be made to understand the emission dynamics from ponds and rivers as recent studies say these are also among the potent sources of GHG emissions in the atmosphere. This review paper aims to highlight and give an elaborate insight into the contribution of inland waters to the global carbon cycle along possible remediative measures.

The Current Development and Outlook of China Certified Emission Reduction Trading Scheme

China’s trading scheme for voluntary greenhouse gas (GHG) emission reductions, i.e. China Certified Emission Reduction (CCER), is an important policy tool to promote GHG emission reduction through market mechanisms and help achieve carbon peaking and carbon neutrality goals (the “dual carbon” goals). The CCER trading scheme was initiated in 2012, and after five years of practical exploration, it has provided an effective channel for the whole society to actively participate in carbon emission reductions. Since 2023, the relevant state departments have issued the Measures for the Administration of Voluntary Greenhouse Gas Emission Reduction Trading (Trial) and released the first batch of four project-specific methodologies and five verification institutions, marking the basic completion of the institutional framework of the CCER trading market. In January 2024, the CCER trading market was officially launched, and has been operated in a stable and orderly way, with its policy role of low-cost emission reduction through market mechanisms gradually coming into play. It should be also noted that, in the early stage of its start-up, the market still faces problems such as insufficient market supply, uncertain integration with international schemes, and relatively lagging behind in capacity building, which need to be gradually addressed in the development process. On that basis, this paper gives an outlook.

Drivers of greenhouse gas emissions in agricultural soils: the effect of residue management and soil type

Developing successful mitigation strategies for greenhouse gases (GHGs) from crop residue returned to the soil can be difficult due to an incomplete understanding of factors controlling their magnitude and direction. Therefore, this study investigates the effects of varying levels of wheat residue (WR) and nutrient management on GHGs emissions (CO2, N2O, and CH4) across three soil types: Alfisol, Vertisol, and Inceptisol. A combination of laboratory-based measurements and a variety of data analysis techniques was used to assess the GHG responses under four levels of WR inputs (0, 5, 10, and 15 Mg/ha; WR0, WR5, WR10, and WR15) and three levels of nutrient (NP0: no nutrient, NP1: nutrients (N and P) were added to balance the residue C/nutrient stoichiometry of C/N/P= 100: 8.3: 2.0 to achieve 30% stabilization of added residue C input at 5 Mg/ha (R5), and NP2: 3 × NP1). The results of this study clearly showed that averaged across residue and nutrient input, Inceptisol showed negative N2O flux, suggesting consumption which was supported by its high legacy phosphorus (19.7 mg kg⁻1), elevated pH (8.49), and lower clay content (13%), which reduced microbial activity, as indicated by lower microbial biomass carbon (MBC) and alkaline phosphatase (Alk-P) levels. N2O emissions were more responsive to nutrient inputs, particularly in Vertisol under high WR (15 Mg/ha) input, while CH4 fluxes were significantly reduced under high residue inputs, especially in Vertisol and Inceptisol. Alfisol exhibited the highest total carbon mineralization and GWP, with cumulative GWP being 1.2 times higher than Vertisol and 1.4 times higher than Inceptisol across residue and nutrient input. The partial least square (PLS) regression revealed that anthropogenic factors significantly influenced CO2 and N2O fluxes more than CH4. The anthropogenic drivers contributed 62% and 44% of the variance explained for N2O and CH4 responses. Our study proves that different biogeochemical mechanisms operate simultaneously depending on the stoichiometry of residue C and nutrients influencing soil GHG responses. Our findings provide insight into the relative contribution of anthropogenic and natural drivers to agricultural GHG emissions, which are relevant for developing process-based models and addressing the broader challenge of climate change mitigation through crop residue management.

The Impact of Financial Innovation on Environmental Protection:Literature Review and Case Study

This study explores the relationship between financial innovation and environmental protection, focusing on how financial innovation can contribute to sustainable development and ecological conservation. Through a comprehensive literature review, this paper identifies various forms of financial innovation, including green finance, socially responsible investing, and impact investing. These have emerged as significant tools in promoting environmental sustainability. The literature suggests that financial innovation plays a crucial role in directing capital towards environmentally friendly projects and companies, thereby reducing the funding of polluting industries. The implementation of green bonds, green banks, and other financial instruments has been instrumental in channeling investments towards renewable energy, clean technology, and other eco-friendly initiatives. These financial mechanisms not only encourage corporate responsibility but also stimulate innovation in clean technologies by providing necessary funding and risk management solutions.The Case study is presented to exemplify the practical application of financial innovation in environmental protection. The case focuses on the development and impact of a green bond issuance by a major financial institution, highlighting the positive environmental outcomes achieved through the financing of specific sustainable projects. The analysis reveals that such financial products have led to measurable reductions in greenhouse gas emissions and improvements in resource efficiency. By synthesizing theoretical insights and empirical evidence, this research contributes to a deeper understanding of the nuanced interplay between finance and environmental preservation, suggesting that financial innovation can be a powerful ally in the global effort toward ecological conservation and sustainable development.

IoT—A Promising Solution to Energy Management in Smart Buildings: A Systematic Review, Applications, Barriers, and Future Scope

The use of Internet of Things (IoT) technology is crucial for improving energy efficiency in smart buildings, which could minimize global energy consumption and greenhouse gas emissions. IoT applications use numerous sensors to integrate diverse building systems, facilitating intelligent operations, real-time monitoring, and data-informed decision-making. This critical analysis of the features and adoption frameworks of IoT in smart buildings carefully investigates various applications that enhance energy management, operational efficiency, and occupant comfort. Research indicates that IoT technology may decrease energy consumption by as much as 30% and operating expenses by 20%. This paper provides a comprehensive review of significant obstacles to the use of IoT in smart buildings, including substantial initial expenditures (averaging 15% of project budgets), data security issues, and the complexity of system integration. Recommendations are offered to tackle these difficulties, emphasizing the need for established processes and improved coordination across stakeholders. The insights provided seek to influence future research initiatives and direct the academic community in construction engineering and management about the appropriate use of IoT technology in smart buildings. This study is a significant resource for academics and practitioners aiming to enhance the development and implementation of IoT solutions in the construction sector.

Towards the Neutralization of the Carbon Footprint at the Autonomous University of the State of Mexico

The primary objective of the research was to calculate the carbon footprint resulting from the substantive activities of the Autonomous University of the State of Mexico between the years 2021 and 2022, to propose strategies for carbon footprint neutralization. The scientific and methodological contribution of this research can serve as a model for Mexican universities that wish to measure their carbon footprint. The research encompasses several sections. The first section delineates the issues pertinent to this study, along with the primary objective and specific goals. The subsequent section defines the conceptual framework employed. Regarding the state of the art of this research, it was necessary to identify that it is doing in this regard in other latitudes, which is why an analysis is presented of some of the universities in Europe and Latin America that have added work and effort to carry out studies on their greenhouse gases emissions generated and, in some cases, have achieved quantify their ecological or carbon footprint. The proposed methodology takes up the guidelines of the ISO 14064-1:2019 standard and presents eleven steps. The results of the carbon footprint of the UAEMéx in 2021 were 14,077,136.90 kg of CO2e, and considering that the total of the university community at that time was 105,249 members, the amount per capita was 133.75 kg of CO2e/person/year. On the other hand, for the year 2022, the carbon footprint was 28,019,621.33 kg of CO2e, and the per capita of 261.30 kg of CO2e/person/year, considering that the university community was cemented to 107,231 members. Based on the results obtained, neutralization strategies were developed, consisting of a list of activities aimed at reducing greenhouse gas emissions. Finally, the conclusions of this research are presented.

Whole-chain intensification of pig and chicken farming could lower emissions with economic and food production benefits.

Intensified monogastric livestock management could conserve feed inputs and mitigate some of the environmental and climate challenges associated with animal production. In this study, we used data from 166 countries to model the environmental, climate and economic impacts of pig and chicken intensification. We found that whole-chain intensification could reduce annual nitrogen and greenhouse gas emissions by 49% (4.6 Tg) and 68% (554 Tg CO2-equivalent), respectively. These changes translate to 5.0 Tg lower nitrogen fertilizer input for feed production, resulting in an overall benefit of US$93 billion. Integrated crop-livestock optimization under intensive management could release 27 Mha of cropland and provide additional food for 310 million people. A judicious promotion of intensification could alleviate global pressures related to food security, environment and climate change.

Strategies for Hydrocarbon Removal and Bioleaching-Driven Metal Recovery from Oil Sand Tailings

Oil sand tailings from bitumen extraction contain various contaminants, including polycyclic aromatic hydrocarbons, BTEX, and naphthenic acids, which can leak into surrounding environments, threatening aquatic ecosystems and human health. These tailings also contribute to environmental issues such as habitat disruption and greenhouse gas emissions. Despite these challenges, oil sand tailings hold significant potential for waste-to-resource recovery as they contain valuable minerals like rare earth elements (REEs), titanium, nickel, and vanadium. Traditional metal extraction methods are environmentally damaging, requiring high energy inputs and generating dust and harmful emissions. Furthermore, the coating of hydrocarbons on mineral surfaces presents an additional challenge, as it can inhibit the efficiency of metal extraction processes by blocking access to the minerals. This highlights the need for alternative, eco-friendly approaches. Bioleaching, which uses microorganisms to extract metals, emerges as a sustainable solution to unlock the valuable metals within oil sand tailings. This review discusses the minerals found in oil sand tailings, the challenges associated with their extraction, methods from hydrocarbon removal from minerals, and bioleaching as a potential metal recovery method.

Agricultural carbon emissions in China: measurement, spatiotemporal evolution, and influencing factors analysis

IntroductionThe agricultural sector is the second largest emitter of greenhouse gases, accounting for 23% of global anthropogenic carbon emissions. Analysis of the basic state of carbon emissions from China's agriculture is helpful to achieve carbon reduction targets.MethodsAgricultural carbon emissions were calculated using the emission factor method, based on data from the China Rural Statistical Yearbook and various provincial statistical yearbooks. To analyze spatial patterns, the standard deviation ellipse method and the center of gravity migration model were employed, uncovering the migration path of agricultural carbon emissions. Regional disparities and the driving factors of agricultural carbon emissions were further examined using the Theil index and the Logarithmic Mean Divisia Index (LMDI) model.ResultsThe analysis indicated that the emissions center has gradually shifted towards the central and western regions, reflecting changes in agricultural production activity areas. Intraregional differences are the primary contributors to the imbalance in agricultural carbon emissions, with pronounced disparities in grain production and consumption balance regions. Key influencing factors include agricultural production efficiency, adjustments in agricultural industrial structure, economic structure and output, and urbanization levels. The economic output effect and urbanization effect are identified as the main drivers of increased carbon emissions, while declining production efficiency has hindered emission reduction efforts.ConclusionThe findings provide valuable insights for regional management and policymaking in China's agricultural sector, highlighting the need to enhance production efficiency and optimize agricultural structure to reduce emissions.

Results on the Use of an Original Burner for Reducing the Three-Way Catalyst Light-Off Time

Individual road mobility comes with two major challenges: greenhouse gas emissions related to global warming and chemical pollution. For the pollution reduction in the spark ignition engine vehicle, the standard and reliable aftertreatment technology is the three-way catalytic converter (TWC). However, the TWC starts to convert once an optimal temperature, usually known as the light-off temperature, is reached. There are many methods to reduce the warm-up period of the TWC, among which is using a burner. The initial question underlying this study was to see if the use of a relatively straightforward extra-combustion device mounted upstream the TWC, without complex elements, was able to serve the purpose of reducing the light-off time. Consequently, an original burner was designed and investigated numerically via the CFD method and experimentally via measurements of the temperature evolution within a TWC, along with the emissions specific to the burner’s operation. The main findings of this study are: (1) the CFD-based examination is a good way to decide on how to achieve the so-called fit-for-purpose internal aerodynamics of the burner (i.e., to obtain a homogeneous mixture) and (2) to reach the light-off temperature, conventionally taken as 500 K, the burner was operated for 5.2 s, i.e., 3.6 g of gasoline injected, 2.7 g of CO2 and 1.351 g of CO, respectively, emitted. Moreover, this study identified measures for improving the burner’s design as well as an enhanced procedure for the burner’s operating control both aiming to produce a cleaner combustion during the TWC pre-heating.

Enhancing Environmental Conservation through the Implementation of GMOs

The rapid advancements in genetic engineering have opened new frontiers in agriculture, medicine, and environmental conservation. Among these, the potential of genetically modified organisms (GMOs) in preserving biodiversity and combating environmental challenges has garnered significant attention. This article delves into how GMOs contribute to conservation efforts by bolstering species resilience and curbing biodiversity decline. For instance, the case of ash trees in North America facing the threat of emerald ash borers showcases how genetic modification can aid in rescuing endangered species. The discussion also delves into measures overseeing GMO releases into environments highlighting approaches taken by countries such as the U.S. And China to mitigate risks such as diminished genetic diversity and ecological disturbances. While GMOs offer advantages like lowering greenhouse gas emissions and aiding in toxin breakdown, there are concerns about drawbacks such as displacing species or causing unintended ecological consequences. To address these issues innovative solutions are proposed—like using GMOs that self-terminate after their intended purpose or creating GMOs that establish symbiotic relationships with species.

Mathematical analysis of an anaerobic digestion model for biogas production from solid waste.

Municipal solid waste is one of the most significant sources of gas emissions. In a context of renewable energy production and greenhouse gas emission reduction, we focus on the amount of biogas produced by the anaerobic digestion of organic matter in a controlled landfill environment. We present a mathematical model describing this process from a microbiological and biochemical point of view, including the dynamics of the methane and carbon dioxide produced. A qualitative analysis of the dynamic system shows the existence of an infinite number of non-hyperbolic equilibria inducing an attractor that has been identified. Through numerical tests, we explore how the non-connectivity of the attractor resulting from the choice of growth functions can entirely transform the performance of the process, and highlight critical initial stock values that influence the amount of biogas produced.

PENGARUH KECERAHAN TERHADAP ENERGI LISTRIK YANG DIHASILKAN OLEH PANEL SURYA

The reduction in fossil energy production, particularly petroleum, along with the global commitment to reducing greenhouse gas emissions, encourages the government to continuously improve the role of new and renewable energy to maintain energy security and independence. Renewable energy is a” source of energy derived from nature that can be used freely, continuously renewed, and unlimited, such as“solar energy. This study aims to analyze the performance of solar panels” in terms of battery charging and discharging duration, current, voltage, and power under sunny and cloudy conditions. The research method was conducted directly in the field, using a solar panel with a capacity of 10WP (Watt Peak) as the study object. The results showed that the performance of solar panels under sunny conditions achieved the highest average power of 4.81 Watts and the fastest battery charging time of 6 hours. Under cloudy conditions, the average power obtained was 4.34 Watts, and the battery charging time was 6 hours and 20 minutes. The battery discharging duration for a 5-watt lamp was 16 hours and 8 minutes, for a 10-watt lamp, it was 8 hours and 4 minutes, and for a 15-watt lamp, it was 5 hours and 6 minutes.

Optimization of carbon emission in an integrated machine-piece scheduling and vehicle routing problem and its solution using MOPSO and NSGAII metaheuristic algorithms

The growth of the global economy is accompanied by significant energy consumption, and greenhouse gas emissions create various problems such as global warming and environmental degradation. To protect the environment, governments are seeking to reduce carbon emissions. Production systems that operate solely based on economic factors in the workshop only consider problems such as production speed, cost, and processing time. Two aspects can be effective in saving energy and reducing emissions at the production planning level: using routing to find the shortest path for collecting workpieces to the workshop, and turning off machines with long idle times and restarting them at the appropriate time. If the workshop production problem is combined with vehicle routing, a new problem arises. According to the research conducted so far, an integrated mathematical model for production routing has not been designed in a situation where the routing is before the production workshop. In this research, this bi-objective model is introduced, and it is solved using the augmented epsilon-constraint (AEC) method. The proposed mixed-integer linear programming model of this research includes three dimensions: environmental, social (customer satisfaction), and economic simultaneously. Given the high complexity of the mathematical model, MATLAB software and MOPSO and NSGA-II algorithms were used to solve it at higher dimensions. Seven evaluation criteria were used to compare the two proposed algorithms, and the results show that the MOPSO algorithm performs better. The findings suggest that minimizing pollution may involve sacrificing on-time delivery to customers. Consequently, decision-makers must carefully weigh the trade-off between reducing environmental impact and maintaining satisfactory delivery performance, ultimately deciding on an acceptable pollution level.

Multi-Objective Optimization of a Small-Scale ORC-VCC System Using Low-GWP Refrigerants

The increasing global demand for energy-efficient cooling systems, combined with the need to reduce greenhouse gas emissions, has led to growing interest in using low-GWP (global warming potential) refrigerants. This study conducts a multi-objective optimization of a small-scale organic Rankine cycle–vapor compression cycle (ORC-VCC) system, utilizing refrigerants R1233zd, R1244yd, and R1336mzz, both individually and in combination within ORC and VCC systems. The optimization was performed for nine distinct cases, with the goals of maximizing the coefficient of performance (COP), maximizing cooling power, and minimizing the pressure ratio in the compressor to enhance efficiency, cooling capacity, and mechanical reliability. The optimization employed the Non-dominated Sorting Genetic Algorithm III (NSGA-III), a robust multi-objective optimization technique that is well-suited for exploring complex, non-linear solution spaces. This approach effectively navigated trade-offs between competing objectives and identified optimal system configurations. Using this multi-objective approach, the system achieved a COP of 0.57, a pressure ratio around 3, and a cooling capacity exceeding 33 kW under the specified boundary conditions, leading to improved mechanical reliability, system simplicity, and longevity. Additionally, the system was optimized for operation with a cooling water temperature of 25 °C, reflecting realistic conditions for contemporary cooling applications.