Calculation Of Greenhouse Gas Emissions Research Articles

Life Cycle Assessment Framework for Diagnostic Imaging

The increasing focus on environmental sustainability is becoming essential in the diagnostic imaging sector, which is accredited for about 10% of the healthcare industry’s carbon footprint. A multitude of research initiatives investigated the environmental impacts of diagnostic imaging, encompassing factors like electricity consumption, carbon emissions, and waste generation from these procedures. Life Cycle Assessment (LCA) stands as a prominent method for structural assessment of environmental impacts, offering a detailed framework for examining the environmental consequences of specific processes. The aim of this study includes analyzing existing LCA approaches in literature to identify their limitations and to suggest an elaborate framework for LCA application in diagnostic imaging.Out of 17 original articles on environmental sustainability in radiology published since 2014, but only a part, 29.4% (5/17), described an LCA approach. The different characteristics of these studies provide valuable insights, enabling the proposal of a more comprehensive LCA research methodology.The reviewed articles did not present a uniform research outcome. According to the GreenHouse Gas (GHG) Protocol Corporate Standard, the optimal outcome for assessing environmental impact is the calculation of greenhouse gas emissions. For a thorough methodological approach in LCA, it is essential to cover all direct and indirect emissions associated with diagnostic imaging. All studies (100%, 5/5) considered the electricity consumption of imaging equipment. Usage of consumables was included in 80% (4/5) of the studies. Only 40% (2/5) of articles considered auxiliary equipment like computers and contrast-medium injectors, as well as heating, ventilation and air conditioning (HVAC) systems. Factors like equipment manufacture, staff travel, and waste generation, though crucial to overall greenhouse gas emissions, were each covered in only 20% (1/5) of the studies. The articles also varied in their LCA versions, with two employing the detailed Cradle-to-Grave approach, while others used partial Cradle-to-Gate and Input-Output LCA methods.The insights from this analysis could lead to a valuable framework for a new LCA methodological approach in diagnostic imaging. This novel approach is designed to overcome the limitations observed in existing research, offering a more comprehensive analysis. By enhancing the LCA framework, it will be possible identify the phases in diagnostic imaging that have the most substantial environmental impact, allowing for the development of more targeted strategies to reduce GHG emissions associated with diagnostic procedures.

Quality of Carbon Emissions Disclosure on Corporate Sustainability Report Gojek Period 2020 and Goto Period 2021 – 2022

The high level of air pollution which is increasing from year to year causes air quality to decline. One of the causes of the increase in air is the growth in the number of motorized vehicles which causes an increase in the amount of emissions released in the form of Carbon Monoxide (CO), Hydrocarbons (HC), Nitrogen Oxide (NO). This shows that climate change is occurring. Climate change is one of the environmental problems that is currently of concern to stakeholders. The Carbon Disclosure Project (CDP) is a non-profit organization that operates focused on addressing environmental issues. CDP works by publishing information sheets which are useful as a guide for companies to disclose greenhouse gas (GHG) emissions resulting from the company's business activities. The company publishes a sustainability report which reveals carbon emissions. GoTo is a merger between Gojek and Tokopedia where in 2020 Gojek published a sustainability report. Scoring of carbon emission disclosures both quantitatively and qualitatively was carried out in this research. During the 2020-2021 period, the highest level of suitability and quality of disclosure was obtained by GoTo. Quantitatively, the climate change category has high disclosure quality. Qualitatively, the GHG emissions calculation category has the highest disclosure quality.

The environmental impact of hip and knee arthroplasty: An analysis of carbon emissions and disposal costs

Background and purposeThe rise in hip and knee arthroplasty for osteoarthritis requires addressing healthcare system pollution to support Ireland's climate change goals. This research aimed to quantify waste generated and determine environmental and economic impacts to promote sustainable strategies in joint arthroplasty and shed light on the suboptimal waste management practices. MethodsThe study was conducted at National Orthopaedic Hospital Cappagh (NOHC), measuring waste generated during hip and knee arthroplasty. Clinical, domestic, and recycled waste weights were recorded, including the segregation of Central Sterile Supply Department (CSSD) Blue Wrap waste in ten operations. Kilograms of carbon dioxide emissions (kgCO2e) and disposal costs were calculated. ResultsIn a sample of 100 joint arthroplasty operations, the study found that revision knees produced 23.58 ​kgCO2e per case, revision hips 23.50 ​kgCO2e, primary knees 15.82 ​kgCO2e, and primary hips 14.64 ​kgCO2e. CSSD Blue Wrap contributed on average 13.5% of OT waste. Extrapolating these findings to the estimated number of joint arthroplasties performed in 2022 ​at NOHC (1556 hip and knee joint arthroplasties), the emissions were estimated to be 24,576 kgCO2e, with the cost of disposal up to €29,228. Strategies to mitigate this waste have been identified and proposed. ConclusionThe research aimed to address the environmental impact of orthopaedic joint arthroplasties, offering strategies to reduce waste generation, carbon emissions, and cost. Utilising our methodology to calculate greenhouse gas emissions will empower sustainability offices to conduct their own waste audits and implementing our strategies for waste management practices can help minimise environmental waste.

Enhancing sustainable ethanol fuel production from cassava in Vietnam

This study focused on developing a comprehensive model to perform techno-economic analysis and calculate greenhouse gas emissions and net energy balance of cassava-based ethanol production in Vietnam. Four steps were involved in this study: (1) collecting data on the cassava-based ethanol conversion pathway, (2) modeling an ethanol production plant, (3) calculating greenhouse gas emissions and net energy balance, and (4) evaluating economic feasibility. The total capital investment and production cost per liter of ethanol are 0.6 $/l/yr and 0.4 $/l, respectively. The fossil energy consumption and net energy ratio during cultivation, transportation, production, and use of ethanol are 12.4 MJ/l and 1.70, respectively. The total greenhouse gas emissions of cassava-based ethanol production are 1252 gCO2eq/l or 59.1 gCO2eq/MJ, which equals 63 % of greenhouse gas emissions from gasoline. This finding confirms that cassava-based ethanol can be an alternative fuel based on economic feasibility and environmental benefit by reducing greenhouse gas emissions in Vietnam.

Is South Korea's 2050 Carbon-Neutral scenario sufficient for meeting greenhouse gas emissions reduction goal?

In line with Global Climate Change Alliance initiated in 2007 by the European Commission, the South Korean government announced the “2050 Carbon-Neutral Strategy” in October 2020. The 2050 Carbon-Neutral Scenario was announced in October 2021, with the aim of reducing the country's greenhouse gas (GHG) emissions by 40 % by 2030 compared to those in 2018. The primary objective of this study is to conduct a scenario-based comparative analysis focusing on the forecast of greenhouse gas emissions and the potential for reduction within the building sector. The methodology employed in this study utilizes the greenhouse gas emission calculation methods outlined in the IPCC Guidelines of 1996 and 2006. Based on the national building energy and statistics database for the years 2015 to 2019, the study analyzes building types, building energy intensity, and floor areas to calculate emissions and energy consumption within the sector. The results indicate that the emissions will increase continuously from 2020 (156.9 million tons of CO2 equivalent) to 2050 (217.8 million tons of CO2 equivalent). We have considered the four scenarios outlined in the ‘2050 Carbon Neutrality Scenario’ as the most effective strategies for reducing greenhouse gas emissions in the building sector. These include: (1) Mandatory implementation of Zero-Energy Buildings (ZEB) for new buildings by 2050, (2) 100 % execution of green remodeling for existing buildings, (3) Promotion of high-efficiency devices to achieve a 25–30 % improvement in energy consumption efficiency compared to 2018 and an enhancement of device energy use per unit, and (4) Expansion of clean heat utilization such as fuel cells and waste heat utilization in district heating. Thus, the possibility of South Korea achieving the 2050 carbon-neutrality target in the building sector is low. Therefore, it is important to develop effective emissions reduction policies and plans for the building sector.

Reliability Framework for Public and Private Mobility Data Integration for Calculating Greenhouse Gas Emissions

Reliability Framework for Public and Private Mobility Data Integration for Calculating Greenhouse Gas Emissions

Evaluation of the role of urban domestic wastewater treatment systems for greenhouse gases emissions in China

Rapid urbanization has exacerbated the dual challenge of mitigating water pollution and reducing greenhouse gas (GHG) emissions. The present study offers insights into the actual role of urban domestic wastewater treatment systems by shedding light on their capacity to act as GHG emitters. We introduce a modelling framework to calculate GHG emissions from wastewater treatment systems in China over the past two decades. Our analysis showed that treated wastewater volume increased by over 4.5 times, but GHG emissions also increased by 2.9 times. The annual emissions from wastewater treatment were -on average- nearly 60 Tg CO2-eq over the past two decades, accounting for <1% of the total national emissions. We also found a significant spatial variability with thirteen developed areas contributing >70% of the GHG emissions. Constructions and operations of wastewater treatment systems approximately accounted for 17% and 83% of the GHG emissions, respectively. Our study also proposes a hierarchical governance framework based on ten major regions that could maximize the efficiency in mitigating water pollution and GHG emissions in China.

Modeling greenhouse gas emissions from biological wastewater treatment process with experimental verification: A case study of paper mill

Wastewater treatment plants (WWTPs) have been regarded as the main sources of greenhouse gas (GHG) emissions. This study compares the influent characteristics of industrial wastewater represented by the WWTP of paper mill and that of domestic sewage represented by the Benchmark Simulation Model No. 1 (BSM1) under stormy weather. The various sources of GHG emissions from the two processes are calculated, and the contribution of each source to the total GHG emissions is assessed. Firstly, based on the mass balance analysis and the recognized emission factors, a GHG emission calculation model was established for the on-site and off-site GHG emission sources from the WWTP of paper mill. Simultaneously, a GHG emission experimental model was established by determining the dissolved concentrations of carbon dioxide (CO2) and nitrous oxide (N2O) in the papermaking wastewater, to verify the accuracy of the developed GHG calculation model. Subsequently, an optimum aeration rate for the paper mill was investigated to comply with the discharging norms. Under the optimum aeration rate of 10 h−1, the obtained calculation accuracies of CO2 and N2O emissions were 94.6 % and 91.1 %, respectively. The mean total GHG emission in the WWTP of paper mill was 550 kg CO2-eq·h−1, of which 44.6 % came from the on-site emission sources and 55.4 % from the off-site emission sources. It was also uncovered that the electrical consumption for aeration was the largest contributor to the total GHG emissions with a proportion of 25.2 %, revealing that the control strategy of the aeration rate is highly significant in reducing GHG emissions in WWTP of paper mills.

Comparative analysis of Greenhouse Gas Emissions from Biological Wastewater Treatment Processes: A Case Study in Gyeongsangbuk-do, Korea

Objectives:This study compared greenhouse gas emissions from various biological treatment processes at wastewater treatment plants in City A, Gyeongsangbuk-do. Methods:Four wastewater treatment plants were selected by size and treatment process, and flow rate and water quality parameters from 2020 to 2022 were used. The amount of greenhouse gases such as methane, nitrous oxide, and carbon dioxide generated was calculated according to the IPCC and Ministry of Environment calculation formulas. Results and Discussion:Regardless of the biological wastewater treatment processes, the greenhouse gas emissions of all plants were higher according to the Ministry of Environment standards than the IPCC method. However, this may be because it was not applied to variables that are difficult to confirm, such as correction coefficients. Among biological treatment processes, the greenhouse gas emissions of A2O were higher than those of SBR.Conclusion:The results of this study can be used to calculate greenhouse gas emissions from biological wastewater treatment processes and prepare their reduction plans.

Estimation of greenhouse gas emissions from rice and annual upland crops in Red River Delta of Vietnam using the denitrification–decomposition model

Abstract This study used the denitrification–decomposition (DNDC) model and ArcGIS 10.1 to calculate and quantify the greenhouse gas (GHG) potential from rice and annual upland crops in the Red River Delta of Vietnam. GHG emissions were monitored, analyzed, and calculated at experimental sites. The operating mechanism, sensitivity analysis of the parameters, calibration, and verification of the DNDC model for the GHG emission calculation were studied and performed, and a set of parameters was built. A good correlation between actual and simulated values was shown. From the data set of meteorological stations in and around the Red River Delta, the current land-use map, the topographic and soil map, a complex map of meteorology–soil–land use was built. Each unit of this map contains complete information about climate, soil, and crops as input data for modeling GHG emissions from crop production. From the spatial analysis and collected input data, GHG emissions were measured and calculated for the cultivated field of the Red River Delta (annual rice and upland crops) using the DNDC model. The model's outputs were used to build thematic maps on the distribution of global warming potential (CH4, N2O) for each unit of the complex map of climate, soil, and crops.

Estimation of greenhouse gas emissions from ships registered in South Korea based on activity data using the bottom-up approach

The shipping sector is one of the major contributors to greenhouse gas (GHG) emissions. We aimed to calculate GHG emissions categorized by ship type for all vessels registered in South Korea. Hence, for the first time in South Korea, a bottom-up method based on ship activity data was employed, estimating energy consumption and emissions by ship type. Data from ships registered from 2019 to 2021 were collected and reclassified by ship type, and operational profiles were developed. Based on these profiles, the emissions of major GHGs, including CO2, CH4, and N2O, were estimated for the 3-year period. Cargo ships accounted for the highest percentage of annual fuel consumption, approximately 62.7%–64.7% of the total fuel consumption for all ships. The GHG emissions were calculated to be an average of 4.644 million tonCO2e, which is approximately 6.5 times higher than those from oil tankers (0.710 million tonCO2e), the second-highest emitter. This highlights the need for intensified GHG reduction measures specifically targeting cargo ships, providing clear evidence for prompt and enhanced implementation. The research findings are expected to be utilized as substantiated data for developing specific and systematic GHG reduction policies tailored to each ship type.

Electricity consumption of anesthesia workstations and potential emission savings by avoiding standby.

Anesthesiology has arelevant carbon footprint, mainly due to volatile anesthetics (scope 1emissions). Additionally, energy used in the operating theater (scope 2emissions) contributes to anesthesia-related greenhouse gas (GHG) emissions. Optimizing the electricity use of medical devices might reduce both GHG emissions and costs might hold potential to reduce anaesthesia-related GHG-emissions and costs. We analyzed the electricity consumption of six different anesthesia workstations, calculated their GHG emissions and electricity costs and investigated the potential to reduce emissions and cost by using the devices in amore efficient way. Power consumption (active power in watt, W) was measured with the devices off, in standby mode, or fully on with the measuring instrument SecuLife ST. Devices studied were: Dräger Primus, Löwenstein Medical LeonPlus, Getinge FlowC, Getinge FlowE, GE Carestation 750 and GE Aisys. Calculations of GHG emissions were made with different emission factors, ranging from very low (0.09 kg CO2-equivalent/kWh) to very high (0.660 kg CO2-equivalent/kWh). Calculations of electricity cost were made assuming aprice of 0.25 € per kWh. Power consumption during operation varied from 58 W (GE CareStation 750) to 136 W (Dräger Primus). In standby, the devices consumed between 88% and 93% of the electricity needed during use. The annual electricity consumption to run 96devices in alarge clinical department ranges between 45and 105 Megawatt-hours (MWh) when the devices are left in standby during off hours. If 80% of the devices are switched off during off hours, between 20and 46 MWh can be saved per year in asingle institution. At the average emission factor of our hospital, this electricity saving corresponds to areduction of GHG emissions between 8.5and 19.8 tons CO2-equivalent. At the assumed prices, acost reduction between 5000 € and 11,600 € could be achieved by this intervention. The power consumption varies considerably between the different types of anesthesia workstations. All devices exhibit ahigh electricity consumption in standby mode. Avoiding standby mode during off hours can save energy and thus GHG emissions and cost. The reductions in GHG emissions and electricity cost that can be achieved with this intervention in alarge anesthesiology department are modest. Compared with GHG emissions generated by volatile anesthetics, particularly desflurane, optimization of electricity consumption of anesthesia workstations holds amuch smaller potential to reduce the carbon footprint of anesthesia; however, as switching off anesthesia workstations overnight is relatively effortless, this behavioral change should be encouraged from both an ecological and economical point of view.

What is the environmental footprint of a dental practice? A life cycle analysis (Part 1).

Introduction Growing awareness of environmental sustainability is essential. The Intergovernmental Panel on Climate Change's report stresses urgent carbon reductions to limit global warming to 1.5 °C. The NHS in all four countries of the UK aims to be net zero. Dental practices must prioritise sustainability for public health. This paper uses life cycle analysis (LCA) where possible to study a dental practice's environmental footprint.Methodology LCA methodology was used where possible to calculate the carbon footprint (CFP) of a full-time dental clinic operating 220 days/year. The Ecoinvent database and OpenLCA software were used to calculate greenhouse gas emissions, normalised factors and disability-adjusted life years. Attributional and spend-based approaches were used to analyse procurement items.Results Compared with our 2015 paper, the 2023 CFP, which used more current impact factors, shows reduced water use emissions and increased total waste emissions. Staff travel and patient travel continues to significantly impact the CFP.Discussion Addressing waste and promoting low-carbon transport within the dental practice is crucial. Procurement's impact requires detailed analysis. Normalised scores highlight the environmental impact compared to an average person.Conclusion The CFP of a dental practice was updated using more current impact factors to reinforce the high contribution of travel within the dental CFP, with an increase in the CFP of waste and a reduction in the CFP of water.

Investigation of alternative vehicle applications for reducing greenhouse gas emissions in urban public transport: The case of Adana province

Passenger cars, trucks, commercial airplanes, and railways all contribute to greenhouse gas emissions as part of the transportation sector. The usage of fossil fuels such as gasoline and diesel emits exhaust gases commonly referred to as greenhouse gases (GHGs) into the atmosphere. The buildup of these greenhouse gases in the atmosphere is responsible for global warming, a phenomenon that is becoming increasingly pronounced in today’s climate. In response to the GHG problem, cities have started setting targets to reduce their emission values. Adana is one of the cities that has set reduction targets. In all of the studies forming the basis of this research, the potential for transitioning buses and minibuses used in public transportation in Adana to alternative vehicles is investigated, with a focus on reducing greenhouse gas emissions. This study includes a comparison between electric, compressed natural gas (CNG), hydrogen and conventional vehicles, considering various parameters such as fuel economy estimates, vehicle size, and emission calculations. The research delves into greenhouse gas emission calculations specific to the Adana province, along with potential alternative applications in public transportation. Within the province, the transportation sector accounts for 27% of the total city inventory’s emissions. This study shows that converting the existing urban public transport fleet to alternative buses can lead an impressive reduction in greenhouse gas emissions as 81.93% with electric car, while hydrogen vehicles achieve a commendable 57.37% decrease. This underscores the substantial potential of electric and hydrogen-powered vehicles to lead to a significant reduction in transportation-related carbon emissions in the city. Consequently, the research places significant emphasis on addressing the transportation sector, which stands out as a primary contributor to emissions.

Differences in greenhouse gas emission calculation guidelines for palm oil and its implication on mitigation planning

There are a number Green House Gas (GHG) emission guidelines for palm oil that are frequently used to determine annual GHG level for various purposes, one of which is to develop a mitigation strategy. The objective of the study was to evaluate three different GHG calculation guidelines (RSPO, ISCC, and GHG Protocol) for palm oil and implication on mitigation planning. The three different guidelines and their result on GHG calculation were observed by comparing data activities of emissions sources, emission factors, and cut-off date by using Life Cycle Assessment (LCA) approach and Intergoverment Panel Climate Change (IPCC) guidelines as references. The results of benchmark were then used to determine steps for a mitigation strategy. The result shows that utilization of cut-off date in GHG calculation from land-use aspect has a significant impact on GHG emission calculation result used for the development of mitigation strategy.

Analyzing long-term dynamics of agricultural greenhouse gas emissions in Austria, 1830–2018

Agriculture is an important contributor to greenhouse gas (GHG) emissions. While the development of agricultural GHG emissions on national and global scales is well studied for the last three to six decades, little is known about their trajectory and drivers over longer periods. In this article, we address this research gap by calculating and analyzing GHG emissions related to agriculture in Austria from 1830 to 2018. We calculate territorial emissions on an annual basis and include all GHG emissions from the processes directly involved in agricultural production. Based on this time series, we quantify the relative importance of major drivers of changes in GHG emissions across time and agricultural product categories, applying a structural decomposition analysis. We find that agricultural GHG emissions in Austria increased by 69 % over the total study period, from 4.6 Mt. CO2e/yr in 1830 to 7.7 Mt. CO2e/yr in 2018. While emissions increased only moderately from 1830 to 1945 (+22 % overall), with strong fluctuations between 1914 and 1945, they doubled from 1945 to 1985. In the most recent period from 1985 to 2018, emissions fell by one third, with decreases leveling off over time. Our decomposition analysis reveals that increases in agricultural production per capita most importantly contributed to the high growth in GHG emissions from 1945 to 1985. Conversely, decreasing emission intensities of products and a more climate friendly product mix were key drivers in the emissions reduction observed after 1985. We also contribute to the discussion around the global warming potential star (GWP*), by calculating GHG emissions based on this alternative metric, and contextualize our data within total socio-economic GHG emission trends. By providing insights into the historical trends and drivers of agricultural GHG emissions, our findings enhance the understanding of their long-term historical dynamics and adds to the knowledge base for future mitigation efforts.

Sustainable Purchasing Practices: A Comparison of Single-use and Reusable Pulse Oximeters in the Emergency Department.

Delivering healthcare requires significant resources and creates waste that pollutes the environment, contributes to the climate crisis, and harms human health. Prior studies have generally shown durable, reusable medical devices to be environmentally superior to disposables, but this has not been investigated for pulse oximetry probes. Our goal was to compare the daily carbon footprint of single-use and reusable pulse oximeters in the emergency department (ED). Using a Life Cycle Assessment (LCA), we analyzed greenhouse gas (GHG) emissions from pulse oximeter use in an urban, tertiary care ED, that sees approximately 150 patients per day. Low (387 uses), moderate (474 uses), and high use (561 uses), as well as cleaning scenarios, were modelled for the reusable oximeters and compared to the daily use of single-use oximeters (150 uses). We calculated GHG emissions, measured in kilograms of carbon dioxide equivalents (kgCO2e), across all life cycle stages using life-cycle assessment software and the ecoinvent database. We also carried out an uncertainty analysis using Monte Carlo methodology and calculated the break-even point for reusable oximeters. Per day of use, reusable oximeters produced fewer greenhouse gases in low-, moderate-, and high-use scenarios compared to disposable oximeters: 3.9kgCO2e, 4.9kgCO2e, 5.7kgCO2e vs 23.4kgCO2e, respectively). An uncertainty analysis showed there was no overlap in emissions, and a sensitivity analysis found reusable oximeters only need to be used 2.3 times before they match the emissions created by a single disposable oximeter. Use phases associated with the greatest emissions varied between oximeters, with the cleaning phase of reusables responsible for the majority of its GHG emissions (99%) compared to the production phases of the single-use oximeter (74%). Reusable pulse oximeters generated fewer greenhouse gas emissions per day of use than their disposable counterparts. Given that the pulse oximeter is an ubiquitous piece of medical equipment used in emergency care globally, carbon emissions could be significantly reduced if EDs used reusable rather than single-use, disposable oximeters.

Implications of changing birth and slaughter dates of finishing sheep and beef cattle on greenhouse gas emissions

Significant variables in the calculation of greenhouse gas (GHG) emissions are estimates of birth date and slaughter date, as these alter the amount of time on-farm and hence feed used for animals destined for slaughter. Analysis of Beef + Lamb New Zealand Economic Service farm survey data calculated average birth and slaughter dates for both finishing sheep and beef cattle at a regional scale, from 1990-2019. Data were then used to calculate the potential GHG emissions related to lambs and slaughter cattle, and changes over time, and were compared to current national inventory calculations. There was no significant change in sheepmating date over the 30-year period, with a median lambing date of 10 September. Beef cattle mating date became later over the 30-year period. These resulted in calving dates of 20 September for the 1990-2000 period, and 25 September for the 2010-2019 period.The proportions of lambs slaughtered by February (early) or October (late), categories used by the National Inventory, have shifted from 84 and 16% respectively in 1990 to 78 and 22% recently. The ages at slaughter of 1–2-year-old heifers and steers were approximately 24 and 35 days younger in 2019 than in 1993 (528 vs 552 days of age at slaughter for heifers and 520 vs 555 days of age at slaughter for steers). The changing proportion of lambs slaughtered early and late had a small effect on total emissions. Later birth dates and earlier slaughter dates have reduced the individual emissions from 1–2-year-old cattle, but individual emissions from oldercattle and bulls have changed little over the 27-year period examined.

A novel method for calculating greenhouse gas emissions from the combustion of energy fuels

A novel method for calculating greenhouse gas emissions from the combustion of energy fuels

Spatio-temporal electrical grid emission factors effects on calculated GHG emissions of buildings in mixed-grid environments

This study compares the calculated greenhouse gas (GHG) emissions of buildings using two different methodologies in mixed-grid environments. Simulations were conducted using virtual models of 25 buildings and actual meteorological data over 2016–2018. The “Annual Method” using yearly average emission factors and the “Hourly Method” using consumption-based hourly emission factors were used to calculate GHG emissions. The study found that the hourly method provided a more accurate representation of GHG emissions, especially during peak grid demand. Furthermore, the study recommends using a zonal approach to building codes in terms of electrical grids similar to climate zones in current codes and standards while also prioritizing building types with the largest potential for emissions reductions. A case study in Ontario, Canada found that electrification via heat pump always results in GHG savings independent of year, building model, and city if keeping the calculation method the same between fuel-switching models. Future research is needed to improve the accuracy of GHG emissions calculations and understand the relationship between electrical load and GHG emissions.