Largest Greenhouse Gas Research Articles

Different grazing management strategies change greenhouse gas emissions and global warming potential in global grasslands

Grazing management significantly influences greenhouse gas (GHG) emissions and the global warming potential (GWP) in grasslands. Yet, a limited understanding of the impact of grazing and grazing exclusion on GHG emissions and GWP in grasslands hinders progress towards grassland ecosystem sustainability and GHG mitigation. We conducted a global meta-analysis of 75 published studies to investigate the effects of grazing and grazing exclusion on methane (CH4), carbon dioxide (CO2), nitrous oxide (N2O), and GWP. Our results revealed that grazing and grazing exclusion significantly increased the CO2 and CH4 emissions, respectively. The responses of GHG emissions and GWP to grazing were regulated by grazing intensity and elevation. We also found that light grazing significantly decreased GWP but heavy grazing increased GWP. Reducing grazing intensity was a simple and effective method through stocking rate adjustment, which promised a large GHG mitigation potential. Our results demonstrated that GHG emissions increased with elevation under grassland grazing, implying that irrational grazing in high-elevation grasslands promoted GHG emissions. In comparison with grazing, only long-term grazing exclusion reduced the GWP, and CH4 emissions enhanced with grazing exclusion duration. However, long-term grazing exclusion may shift economic demand and grazing burden to other areas. Overall, we suggested that regulating the grazing intensity, rather than grazing exclusion, was an effective way to reduce GHG emissions. Our study contributed to the enhancement of sustainable grazing management practices for GHG balance and GWP in global grasslands, and offered a global picture for understanding the changes in GHG emissions and GWP under different grazing management regimes.

371 Applying precision rangeland grazing management systems in western South Dakota

Abstract Western rangelands represent approximately 58% of the total arable land in the U.S. and are used primarily for cow-calf production, which has the largest greenhouse gas (GHG) emission footprint of all beef production phases. Further, beef production sustainability concerns involve climate mitigation (reducing GHG output) and adaptation (climate-resilient soil-plant-animals). Precision livestock farming (PLF) may help address sustainability concerns by providing innovative solutions and new opportunities for extensive rangeland production. The use of precision measurement and management tools with precision system models can connect measurement data to inform management capabilities. For example, real-time individual weighing and remote sensing (precision measurement tools) can be used to inform and implement dynamic rotational grazing management using virtual fencing technology (precision management; Menendez et al., 2022, 2023). Recent USDA investment in climate-smart agriculture (CSA) commodities has provided over $3 billion in funding to implement practices to reduce GHG emissions in agriculture production, for which PLF may be one approach to accomplish these goals. The overall purpose is to develop commodities produced using NRCS climate-smart practices (e.g., prescribed grazing, 528) and document reductions to provide market opportunities associated with inset GHG. Currently, South Dakota State University is leading two simultaneous programs, which include precision ranching (virtual fencing, precision weighing, and GHG evaluation) and a beef and bison CSA program (GHG evaluation; 7 producer-owned research ranches, representing more than 1.09 million ha). The scale of the CSA program has revealed that current PLF research has only been a prelude to providing the precision tools necessary to successfully implement CSA practices and document their impact through monitoring, measuring, reporting, and verification (MMRV). This presentation will include rangeland grazing case studies that cover the application of virtual fencing, animal location, behavior tracking, remote sensing, precision weighing, feeding, supplementation, and enteric emissions and soil moisture monitoring on extensive rangelands. Case studies will include an overview of big data processing and precision system model development methods. Increasing awareness of available PLF tools for optimizing grazing management, animal performance, productivity, and associated challenges (maintenance, costs) is essential for meeting livestock and sustainability goals. PLF and data-driven approaches aid in the creation of scalable, cost-effective MMRV protocols and models (soil carbon and enteric GHG) for extensive rangelands (20 to 70,000 ha areas) that allow producers to realize potential CSA market incentives. Further, MMRV will likely help guide management decisions by identifying CSA strategies that build climate-resilient landscapes for sustainable livestock production and other environmental synergies (soil microbiome, bird and insect habit, water retention).

Thermophysical properties and energy efficiency of a sustainable construction materials produced from local natural waste

Improving the energy efficiency of buildings is crucial for reducing energy demand and moderating the environmental impact due to its large energy consumption and greenhouse gas emissions. Integrating waste into construction materials can offer sustainable and cost-effective solutions for energy-efficient buildings. This study aims to develop new construction materials (plasterboards) formed by gypsum and natural wastes (5% in mass) including Posidonia-Oceanica, sawdust, sheep's wool, and cork granules to substitute filasse in conventional plasterboards. The main objective of this work is to evaluate and compare the thermal properties of the composite materials manufactured and to determine energy saving, optimal insulation thickness and environmental impact when adding the developed plasterboards in the envelope of an office building in a Mediterranean climate. An experimental study is performed to evaluate the thermo-physical properties and a numerical simulation is conducted using design builder software to discuss the energy efficiency of these materials. Results shows that the incorporation of natural waste reduces the thermal conductivity and can reduce heating and cooling needs compared to conventional plasterboard. Specially, plasterboard made with Posidonia-Oceanica fibers which exhibits a reduction of 32 % in thermal conductivity. It achieves an improvement in energy efficiency of 8 % when it is used in roof ceiling. When used as coating-panels in building walls with a thickness of 24 cm, it achieves about 17 % of energy saving. In addition, this study determines the optimum insulation thickness leading to minimize the sum of the insulation investment and the energy costs over the building's lifetime. Four values of building’s lifespan were chosen (10, 20, 30 and 50 years). Results show that for a 10-year building life, the optimum insulation thickness is 9cm, whereas for a longer building life (50 years), the optimum insulation thickness is 19cm. It saves 15.64kWh/m2 of energy required for heating and 2.09kWh/m2 needed for cooling and reduces of about 8.8tons ofCO2 emitted. The use of natural waste as fillers to prepare plasterboards showed a good effectiveness. It provides important energy saving and reduces CO2 emissions. Creating effective insulating materials using local natural waste, could be a valuable step towards establishing a sustainable development approach.

Carbon footprint of tonsillectomy

Background and purposeHealthcare is responsible for 5.4% of greenhouse gas emissions in the UK. Emissions in surgery is a relatively unexplored area; in particular, this hasn't yet been looked at as a whole in ENT in the UK. The purpose of the study was to quantify the amount of greenhouse gas (GHG) emission from a tonsillectomy and assess the proportion of each source's contribution. MethodsOperational data from tonsillectomies performed at a large university teaching hospital in the UK were gathered and converted to global warming potential using established conversion factors and data from existing healthcare-focused carbon footprint studies. The domains considered were waste, pharmaceuticals, surgical instrument decontamination, transportation, consumables use and utilities. This study used a process-based carbon footprint approach based on the “Greenhouse Gas Protocol: Product Life Cycle Accounting and Reporting Standard”. Main findingsThe carbon footprint of a typical case was 41 kgCO2e which is equivalent to driving a car for approximately 150 miles. Consumables were responsible for 17% of this; 14% came from transport, 5.4% from decontamination, 4.8% from pharmaceuticals and 4% from waste. However, the largest GHG was from utilities, of which heating, ventilation and air conditioning was the overwhelming contributor. ConclusionsWhile the largest sources of GHG emissions require hospital-wide initiatives, there are aspects of consumables and waste streams we can improve on in ENT surgery. These include the use of disposable vs reusable instruments as well as increased availability and use of recycling waste streams in theatres. Additionally, this study provides a template that can be applied to other ENT procedures.

Effect of the Number of Methyl Groups in DMOF on N2O Adsorption and N2O/N2 Separation.

Nitrous oxide (N2O), as the third largest greenhouse gas in the world, also has great applications in industry, so the purification of N2O from N2 in industrial tail gas is a crucial process for achieving environmental protection and giving full play to its economic value. Based on the polarity difference of N2O and N2, N2O adsorption was researched on DMOF series materials with different polarities and methyl numbers of the ligand. N2O adsorption at 0.1 bar is enhanced, attributed to an increase of the methyl group densities at the benzenedicarboxylate linker. Grand canonical Monte Carlo simulations demonstrate the key role of methyl groups within the pore surface in the preferential N2O affinity. Methyl groups preferentially bind to N2O and thus enhanced low (partial) pressure N2O adsorption and N2O/N2 separation. The result shows that DMOF-TM has the highest N2O adsorption capacity (19.6 cm3/g) and N2O/N2 selectivity (23.2) at 0.1 bar. Breakthrough experiments show that, with an increase of the methyl number, the coadsorption time and retention time also increase, and DMOF-TM has the best N2O/N2 separation performance.

Improving Solar Panel Efficiency with Automated Dust Removal

The rapid growth of the global population has led to raise in energy consumption, resulting in a higher demand for energy production. This production is classified into two categories, conventional and non-conventional sources. Conventional sources of energy release a large amount greenhouse gas, which have detrimental effects on the environment. To combat these negative effects, it is crucial to transition towards non-conventional, renewable energy sources. Conventional energy is more sustainable and clean option compared to fossil fuels. Utilizing technology such as photovoltaic cells can greatly lessen our reliance on traditional energy sources. One challenge that renewable energy faces is the deposition of dust on solar panels, which can decrease their efficiency. Various coatings can be applied to prevent dust buildup, but they do not completely eliminate the issue. This study aims to investigate that how much effectively using an automated mechanical vibrator with a water injector to remove dust and debris from solar panels in which the efficiency of the panel is increased from 18% to 20 %. By improving the maintenance of solar panels, we can increase their efficiency and overall performance in generating renewable energy.

Large greenhouse gases emissions from lakes in Inner Mongolia, China

Lakes are important component of the regional carbon cycle and a significant sources of greenhouse gases (GHGs) to the atmosphere. However, the regional variations in carbon dioxide (CO2) and methane (CH4) emissions, as well as the factors regulating these emissions are poorly constrained. To investigate the regional GHG emission from lakes and their potential influencing factors, we conducted field measurements in 13 lakes in Inner Mongolia from July to August 2020. We found that the studied lakes were predominantly sources of atmosphere CO2 and CH4. The CO2 partial pressure (pCO2) exhibited supersaturation in 80 % of samplings, but all samplings of CH4 partial pressure (pCH4) showed supersaturation. Moreover, the average pCH4 is 40 times greater than that in the atmosphere. The lakes emitted substantial amounts CO2 and CH4 with average values of 25.8 ± 4.9 mmol m−2 d−1 and 2.1 ± 0.3 mmol m−2 d−1, respectively. At the regional scale, the dynamics of pCO2 and pCH4 are regulated by combination of various environmental factors. CO2 emissions from studied lakes decreased with the catchment net primary productivity (NPP), normalized difference vegetation index (NDVI), and nighttime lights which is indicative of urbanization. Conversely, CH4 fluxes increased with NPP, NDVI, and nighttime lights. We conclude that terrestrial carbon-cycling related variables and human activities significantly affect CO2 and CH4 emissions from lakes by transporting different nutrients, but they show opposite trends. Our results also exhibited that the freshwater lakes are the main contributors of CH4, while saline lakes are the main contributors of CO2. We suggest that increased human activity leads to changes in terrestrial carbon-cycle related processes which affects lake carbon emissions by altering the amount of nutrients input to the lakes.

Graphene Derived from Municipal Solid Waste.

Landfilling is long the most common method of disposal for municipal solid waste (MSW). However, many countries seek to implement different methods of MSW treatment due to the high global warming potential associated with landfilling. Other methods such as recycling and incineration are either limited to only a fraction of generated MSW or still produce large greenhouse gas emissions, thereby providing an unsustainable disposal method. Here, the production of graphene from treated MSW is reported that including treated wood waste, using flash Joule heating. Results indicated a 71%-83% reduction in global warming potential compared to traditional disposal methods at a net cost of -$282 of MSW, presuming the graphene is sold at just 5% of its current market value to offset the cost of the flash Joule heating process.

Decreasing environmental footprints of dairy production systems through optimization of feed rations and origins

Environmental impacts of livestock production systems are a global concern, because of the large greenhouse gas (GHG) emissions and nitrogen (N) and phosphorus (P) losses associated with feed production and livestock rearing. These losses are in part related to the system of livestock production and their feed rations and feed origin. This study aims to investigate the economic and environmental impacts of optimizing feed configurations of dairy farms in Inner Mongolia (China), using data from farm surveys, life cycle assessments and linear optimization programming. The findings of our study reveal that feed optimization may lower carbon footprints by 36–44%, nitrogen footprints by 35–42%, and phosphorus footprints by 42–71%, compared to the baseline. The need for cropland decreased by 11–38% per kilogram of milk, feed costs decreased by 15–48%, and net profit increased by 39–129%. Further, we found a statistically significant negative correlation between environmental footprints and feed self-sufficiency of dairy farms. Notably, energy-rich feeds, silage maize, and grass should be grown on-farm. These findings underscore the potential of adjusting feed rations and origin to decrease environmental footprints and enhance net profits of dairy farms. However, we observed several barriers to widespread adoption of optimal feed rations and origin, which relate to land scarcity, high land rental costs, and lack of trust and cooperation with nearby arable farms. Our research provides a scientific foundation for optimizing feed rations and origins for diverse dairy systems to achieve improved environmental and economic performance.

Deep understanding the formation of MnCoOx in-situ grown on foam nickel towards efficient lean methane catalytic oxidation

Methane is the second largest greenhouse gas in the world, with a stronger greenhouse effect than carbon dioxide. The efficient elimination of methane in the atmosphere has important engineering significance in slowing down global temperature rise, energy resource utilization, collaborative control of pollutants, and promoting technological innovation. In this work, a general hydrothermal synthesis method was introduced to in-situ construct four different morphologies of MnCoOx (including rod-, spherical-, filamentous- and bulk-shape) on foam nickel (NF). The synthesis of MnCoOx/NF with different morphologies was due to changes in NF pretreatment conditions and precipitants, which affected the nucleation and growth rates of MnCoOx, ultimately resulting in different morphologies. When the four different morphologies of MnCoOx/NF were used as catalysts for lean methane catalytic oxidation, MnCoOx/NF-r exhibited the best excellent catalytic activity, and the T90 occurred at 428 °C in space velocity of 48,000 mL g−1 h−1. Such an outstanding performance was attributed to the unique properties of the MnCoOx/NF-r including the larger surface area and more oxygen vacancies for providing more active sites and a higher oxygen migration rate, which was very beneficial for improving the catalytic oxidation performance of methane.

Large contribution of soil N2O emission to the global warming potential of a large-scale oil palm plantation despite changing from conventional to reduced management practices

Abstract. Conventional management of oil palm plantations, involving high fertilization rate and herbicide application, results in high yield but with large soil greenhouse gas (GHG) emissions. This study aimed to assess a practical alternative to conventional management, namely reduced fertilization with mechanical weeding, to decrease soil GHG emissions without sacrificing production. We established a full factorial experiment with two fertilization rates (conventional and reduced fertilization, equal to nutrients exported via fruit harvest) and two weeding methods (herbicide and mechanical), each with four replicate plots, since 2016 in a ≥ 15-year-old, large-scale oil palm plantation in Indonesia. Soil CO2, N2O, and CH4 fluxes were measured during 2019–2020, and yield was measured during 2017–2020. Fresh fruit yield (30 ± 1 Mgha-1yr-1) and soil GHG fluxes did not differ among treatments (P≥ 0.11), implying legacy effects of over a decade of conventional management prior to the start of the experiment. Annual soil GHG fluxes were 5.5 ± 0.2 Mg CO2-C ha−1 yr−1, 3.6 ± 0.7 kg N2O-N ha−1 yr−1, and −1.5 ± 0.1 kg CH4-C ha−1 yr−1 across treatments. The palm circle, where fertilizers are commonly applied, covered 18 % of the plantation area but accounted for 79 % of soil N2O emission. The net primary production of this oil palm plantation was 17 150 ± 260 kgCha-1yr-1, but 62 % of this was removed by fruit harvest. The global warming potential of this planation was 3010 ± 750 kgCO2eqha-1yr-1, of which 55 % was contributed by soil N2O emission and only < 2 % offset by the soil CH4 sink.

Taking Stock of the Scholarship on the Relationship between International Investment Law and the Need for Raised Climate Ambition

Abstract Increasingly dire warnings about the climate crisis mean that it is more urgent than ever that different legal regimes, including international investment law, are aligned with climate objectives and not implemented in discord with climate solutions. Many works have been produced over the last twenty years which examine whether the norms underlying climate law and international investment law necessarily conflict or can be reconciled. These works reflect deeply contested views amongst scholars as to whether regulation aimed at ensuring climate ambition can, or is likely to, be adequately safeguarded by the international investment law regime that is designed to provide conditions of stability for investors – including those that are large greenhouse gas emitters. This article provides an overview of the different perspectives that have been offered on the relationship between climate change law and international investment law in respect of three role-players – namely, arbitrators, civil society, and states. It concludes by offering tentative thoughts on the course that the interaction between the two regimes may take in the future.

Temporary stratification promotes large greenhouse gas emissions in a shallow eutrophic lake

Abstract. Shallow lakes and ponds undergo frequent temporary thermal stratification. How this affects greenhouse gas (GHG) emissions is moot, with both increased and reduced GHG emissions hypothesised. Here, weekly estimations of GHG emissions, over the growing season from May to September, were combined with temperature and oxygen profiles of an 11 ha temperate shallow lake to investigate how thermal stratification shapes GHG emissions. There were three main stratification periods with profound anoxia occurring in the bottom waters upon isolation from the atmosphere. Average diffusive emissions of methane (CH4) and nitrous oxide (N2O) were larger and more variable in the stratified phase, whereas carbon dioxide (CO2) was on average lower, though these differences were not statistically significant. In contrast, there was a significant order of magnitude increase in CH4 ebullition in the stratified phase. Furthermore, at the end of the period of stratification, there was a large efflux of CH4 and CO2 as the lake mixed. Two relatively isolated turnover events were estimated to have released the majority of the CH4 emitted between May and September. These results demonstrate how stratification patterns can shape GHG emissions and highlight the role of turnover emissions and the need for high-frequency measurements of GHG emissions, which are required to accurately characterise emissions, particularly from temporarily stratifying lakes.

Determinants of carbon emissions disclosure: Study of mining companies of the Indonesian stock exchange

In recent years, countries around the world have faced the problem of climate change. Carbon emissions from human activities, including company operations, play a significant role in this phenomenon. Mining companies, whose operations primarily burn fossil fuels such as coal, oil, and natural gas production, are among the largest greenhouse gas (GHG) emitters among other industries. This study analyzes the factors thatinfluence the disclosure of carbon emissions in mining companies listed onthe IDX during the 2018-2022 period, with a focus on environmentalperformance and board characteristics. The research sample includes 230 companies. This research uses a panel data approach to analyze data, with Eviews as an analysis tool. The findings of this study indicate that both environmental performance and board size play a significant role in encouraging companies to be more open in informing their carbon emissionsdata. This finding suggests that ISO 14001 certification can help companiesmanage their environmental performance so that they can calculate, monitorand report their carbon footprint. In addition, a larger board size will be moreeffective in the supervision process and increase corporate accountability towards environmental disclosure issues.

Selective Electrocatalysis of Nitrous Oxide Reduction Reaction to Nitrogen at Carbon-Supported Pt–Pd–Sn Nanoparticles

Nitrous oxide (N2O) is the third largest greenhouse gas and must be removed using a green method at ambient conditions such as electrocatalysis. Here, we report carbon-supported Pt–Pd–Sn nanoparticles (Pt–Pd–Sn/C)...

Inverse Adsorption Separation of N2O/CO2 in AgZK‐5 Zeolite

AbstractNitrous oxide (N2O), as the third largest greenhouse gas in the world, also has great applications in daily life and industrial production, like anesthetic, foaming agent, combustion supporting agent, N or O atomic donor. The capture of N2O in adipic acid tail gas is of great significance but remains challenging due to the similarity with CO2 in molecular size and physical properties. Herein, the influence of cation types on CO2−N2O separation in zeolite was studied comprehensively. In particular, the inverse adsorption of CO2−N2O was achieved by AgZK‐5, which preferentially adsorbs N2O over CO2, making it capable of trapping N2O from an N2O/CO2 mixture. AgZK‐5 shows a recorded N2O/CO2 selectivity of 2.2, and the breakthrough experiment indicates excellent performance for N2O/CO2 separation. The density functional theory (DFT) calculation shows that Ag+ has stronger adsorption energy with N2O, and the kinetics of N2O is slightly faster than that of CO2 on AgZK‐5.

Inverse Adsorption Separation of N2 O/CO2 in AgZK-5 Zeolite.

Nitrous oxide (N2 O), as the third largest greenhouse gas in the world, also has great applications in daily life and industrial production, like anesthetic, foaming agent, combustion supporting agent, N or O atomic donor. The capture of N2 O in adipic acid tail gas is of great significance but remains challenging due to the similarity with CO2 in molecular size and physical properties. Herein, the influence of cation types on CO2 -N2 O separation in zeolite was studied comprehensively. In particular, the inverse adsorption of CO2 -N2 O was achieved by AgZK-5, which preferentially adsorbs N2 O over CO2 , making it capable of trapping N2 O from an N2 O/CO2 mixture. AgZK-5 shows a recorded N2 O/CO2 selectivity of 2.2, and the breakthrough experiment indicates excellent performance for N2 O/CO2 separation. The density functional theory (DFT) calculation shows that Ag+ has stronger adsorption energy with N2 O, and the kinetics of N2 O is slightly faster than that of CO2 on AgZK-5.

Coupled Changes in the Arctic Carbon Cycle Between the Land, Marine, and Social Domains

AbstractThe Arctic has experienced rapid change associated with warming since the 1970s. The rapid retreat of the terrestrial cryosphere can release a large amount greenhouse gas from the permafrost regions into the air, and the sea ice decline will affect the CO2 and CH4 balance in the ocean. Changes in the Arctic provide feedback mechanisms that can also impinge on the global ocean’s thermohaline circulation. During the past years, the overall natural processes in the Arctic have been studied although the magnitude and timing of carbon release from the cryosphere changes require further investigation. However, few studies have been conducted to link the natural and social systems in the Arctic. Scientists and policymakers must consider the coupled Arctic land, ocean, and social systems in their decisions for coping with climate change.

Opportunities for mitigating net system greenhouse gas emissions in Southeast Asian rice production: A systematic review

Southeast Asia (SEA) is a key producer and exporter of rice, accounting for around 28% of rice produced globally. To effectively mitigate greenhouse gas (GHG) emissions in SEA rice systems, field methane (CH4) and nitrous oxide (N2O) emissions have been intensively studied. However, an integrated assessment of system-level GHG emissions which includes other carbon (C) balance components, such as soil organic carbon (SOC) or energy use, that can positively or negatively influence the net capacity for climate change mitigation is lacking. We conducted a systematic review of published research in SEA rice systems to synthesize findings across four main components of net system emissions: (1) field GHG emissions, (2) energy inputs, (3) residue utilization beyond the field, and (4) SOC change. The objectives were to highlight effective mitigation opportunities and explore cross-component effects to identify tradeoffs and key knowledge gaps. Field GHG emissions were the largest contributor to net system emissions in agreement with existing scientific consensus, with results showing that practices such as floodwater drainage and residue removal are sound options for CH4 mitigation. On the other hand, increasing SOC potentially provides a large GHG mitigation opportunity, with long-term continuous rice cropping and practices such as residue incorporation and biochar application promoting SOC increase. A reduction in energy inputs was mainly achieved by optimizing agrochemical use, especially N fertilizers. For residue utilization beyond the field, GHG emission mitigation mainly came from preventing open field burning through residue removal. Removed residue can subsequently be used for producing energy that offsets GHG emissions associated with conventional fuel sources (e.g. fossil fuel-based electricity generation) or substituting material used in other production systems. Integrating all four components of net system emissions into one analysis underscores the following two main takeaways. First, the components of field GHG emissions and SOC change are the biggest opportunities for reducing net system emissions and need to be considered for effective climate change mitigation. Second, the reduction of C inputs through residue removal and increased soil aeration through multiple drainage will lower CH4 emissions but may also potentially decrease SOC stocks over time. Hence, we argue that future research needs to consider cross-component effects to optimize net system emissions, specifically the “stacking” of best management practices for mitigation related to field GHG emissions or SOC change in long-term experiments.

GREEN ALGORITHM: MEASURING THE CARBON FOOTPRINT

The effects of climate change have a significant impact on nearly every aspect of life on Earth, including human civilizations, the economy, and health. Data centers and other large-scale computing resources are among the human activities responsible for large greenhouse gas (BSG) emissions. Other human activities also contribute to this problem. Although the growth of high-performance computing has allowed many important scientific breakthroughs to be achieved, the environmental impact of this progress cannot be underestimated. This paper describes a methodological framework for consistently and reliably estimating the carbon footprint of any computer business. The system can be used to calculate the carbon footprint of any computing task. A user can measure and report the carbon footprint of calculations using a newly created web tool called the Green algorithm (www.green-algorithms.org), which is freely available to the public. However, the tool is very simple to implement within computational procedures, as it uses very little information, does not interfere with pre-written code, and can accommodate a wide variety of hardware configurations. Taken as a whole, this research offers a simple, generalizable framework, as well as an accessible tool for measuring the carbon footprint of almost any computation.