scholarly journals Calculation of the carbon footprint of Ontario wheat

SURG Journal ◽  
2011 ◽  
Vol 4 (2) ◽  
pp. 49-55 ◽  
Author(s):  
Jacqueline Ann Ho
Keyword(s):  
Life Cycle ◽  
Carbon Footprint ◽  
Food Production ◽  
Ghg Emissions ◽  
Agricultural Chemicals ◽  
Consumer Awareness ◽  
Industrial Data ◽  
Direct Emission ◽  
Co2 Equivalent ◽  
Locally Grown

Increasing consumer awareness of the environmental impact of food production has prompted interest in locally grown food in Ontario. The research reported here had the objective of quantifying the carbon footprint of Ontario grown wheat. A spreadsheet was developed and populated with data and emission coefficients gathered through consultation of the literature. The spreadsheet expresses the carbon footprint in the life cycle of Ontario wheat in CO2 equivalent (kg CO2). The life cycle of wheat includes production, transportation, the use of machinery and application of agricultural chemicals such as pesticides and fertilizers. Since there are insufficient industrial data of manufacture of machines, they were not included in the calculations. The accuracy of this spreadsheet was examined by comparing its results with results of the Agriculture and Agri-Food Canada (AAFC) Greenhouse Gas (GHG) Calculator. The total farm emission of the AAFC GHG Calculator was 3960.2 Mg CO2, while the created spreadsheet had a result of 2963.1 Mg CO2. The spreadsheet has a lower emission than AAFC GHG Calculator because machine manufacture was not included in the spreadsheet. For individual categories agreement was quite close, most categories are within 90% agreement. As a conclusion, results between AAFC GHG Calculator and spreadsheets are similar hence demonstrate the accuracy of the spreadsheet created. Fertilizer production and direct emission from the soil were responsible for 89% of the GHG emissions from Ontario grown wheat.

scholarly journals Carbon Footprint and Related Production Costs of System Components of a Field-Grown Cercis canadensis L. ‘Forest Pansy’ Using Life Cycle Assessment

2013 ◽  
Vol 31 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Dewayne L. Ingram ◽  
Charles R. Hall
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Production System ◽  
Carbon Dioxide Emission ◽  
Ghg Emissions ◽  
International Standards ◽  
Production Costs ◽  
System Component ◽  
Cercis Canadensis

Life cycle assessment (LCA) was utilized to analyze the global warming potential (GWP), or carbon footprint, and associated costs of the production components of a field-grown, spade-dug, 5 cm (2 in) caliper Cercis canadensis ‘Forest Pansy’ in the Lower Midwest, U.S. A model production system was determined from interviews of nursery managers in the region. Input materials, equipment use and labor were inventoried for each production system component using international standards of LCA. The seed-to-landscape GWP, expressed in kilograms of carbon dioxide emission equivalent (CO2e), was determined to be 13.707. Equipment use constituted the majority (63%) of net CO2-e emissions during production, transport to the customer, and transplanting in the landscape. The model was queried to determine the possible impact of production system modifications on carbon footprint and costs to aid managers in examining their production system. Carbon sequestration of a redbud growing in the landscape over its 40 year life, weighted proportionally for a 100 year assessment period, was calculated to be −165 kg CO2e. The take-down and disposal activities following its useful life would result in the emission of 88.44 kg CO2e. The life-cycle GWP of the described redbud tree, including GHG emissions during production, transport, transplanting, take down and disposal would be −63 kg CO2e. Total variable costs associated with the labor, materials, and equipment use incurred in the model system were $0.069, $2.88, and $34.81 for the seedling, liner, and field production stages, respectively. An additional $18.83 was needed for transport to the landscape and planting in the landscape and after the 40 year productive life of the tree in the landscape, another $60.86 was needed for take-down and disposal activities.

scholarly journals Carbon Footprint and Life-Cycle Costs of Maize Production in Conventional and Non-Inversion Tillage Systems

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1877
Author(s):  
Małgorzata Holka ◽  
Jerzy Bieńkowski
Keyword(s):  
Life Cycle ◽  
Carbon Footprint ◽  
Cover Crops ◽  
Ghg Emissions ◽  
Nitrogen Fertilizers ◽  
Life Cycle Costs ◽  
Agricultural Practice ◽  
No Tillage ◽  
Tillage Systems ◽  
Maize Production

Given the problem of climate change and the requirements laid down by the European Union in the field of gradual decarbonization of production, it is necessary to implement solutions of reducing greenhouse gas (GHG) emissions into agricultural practice. This research paper aimed to evaluate the carbon footprint and life-cycle costs of grain maize production in various tillage systems. The material for the analyses was data from 2015–2017 collected on 15 farms located in the Wielkopolska region (Poland) and growing maize for grain in three tillage systems: conventional, reduced, and no-tillage. The life-cycle assessment and life-cycle costing methodologies were applied to assess the GHG emissions and costs associated with the grain maize production in the stages from “cradle-to-farm gate”, i.e., from obtaining raw materials and producing means for agricultural production, through the processes of maize cultivation to grain harvesting. The calculated values of the carbon footprint indicator for maize production in conventional, reduced, and no-tillage systems were 2347.4, 2353.4, and 1868.7 CO2 eq. ha−1, respectively. The largest source of GHG emissions was the use of nitrogen fertilizers. Non-inversion tillage with cover crops and leaving a large amount of crop residues in the field increased the sequestration of organic carbon and contributed to a significant reduction of the carbon footprint in maize production. The conventional tillage system demonstrated the highest overall life-cycle costs per hectare.

scholarly journals Carbon footprint of lentil in old Brahmaputra floodplain soil

2016 ◽  
Vol 27 (2) ◽  
pp. 162-167
Author(s):  
ME Haq ◽  
MA Kader ◽  
S Farhan
Keyword(s):  
Carbon Footprint ◽  
Best Management Practices ◽  
Food Production ◽  
Crop Production ◽  
Management Practices ◽  
Ghg Emissions ◽  
Production Capacity ◽  
Low Carbon ◽  
Floodplain Soil ◽  
Science Field

Crop production has contributed significantly to global carbon footprint (CF). Characterizing the carbon footprint of agricultural production offers key information for achieving low carbon agriculture. Bangladesh has struggled for long and worked hard for increasing food production capacity for its large growing population. It is necessary to choose the crops and management practices which have low CF to maintain a win-win situation between food production and greenhouse gas (GHG) emissions. However, the CF of Bangladesh’s crop production has not yet been assessed. Therefore, this study was conducted to estimate the CF of lentil as one of the major legumes cultivated in Bangladesh. The crop was cultivated at the Soil Science Field Laboratory of Bangladesh Agricultural University (BAU) Farm, Mymensingh i.e. Agro-ecological zone (AEZ 9) during November, 2013 to April, 2014 by following standard management practices. The Carbon footprint was calculated by using the collected emission factors from literature as default values for each input and operation used for the production of crops as per guideline of ISO (2006) and IPCC (2006). The GHG emissions in the crop fields are taken from the studies of Pathak and Aggarwal (2012). The yield of lentil was 0.90 t ha-1 with a CF of 406 kg CO2-equivalentst-1 of lentil. Direct and indirect GHG emissions singly contributed the half of CF accounting 52.54% of total CF. The contribution of fertilizer, irrigation, machinery and labor inputs to the overall carbon footprint were 23.16%, 15.97%, 1.26% and 7.06%, respectively. Among the fertilizers, nitrogenous fertilizer was dominant and singly contributed to 70% of fertilizer CF. However, for developing best management practices for climate change mitigation in crop production of Bangladesh, further studies of soil and regional specific CFs of lentil are needed.Progressive Agriculture 27 (2): 162-167, 2016

scholarly journals Development of GHG Emissions Curves for Bio-Concretes Specification: Case Study for Bamboo, Rice Husk, and Wood Shavings Considering the Context of Different Countries

2022 ◽  
Author(s):  
Lucas Rosse Caldas ◽  
Carolina Goulart Bezerra ◽  
Francesco Pittau ◽  
Arthur Araujo ◽  
Mariana Franco ◽  
...  
Keyword(s):  
Life Cycle ◽  
Portland Cement ◽  
Rice Husk ◽  
Carbon Footprint ◽  
Ghg Emissions ◽  
Rotation Period ◽  
Cementitious Materials ◽  
Supplementary Cementitious Materials ◽  
Wood Shavings ◽  
Biogenic Carbon

Bio-concretes are receiving special attention in recent research as an alternative for climate change mitigation due to their low carbon footprints. Different bio-based materials can be used, e.g., wood shavings, bamboo, rice husk, and coconut. However, various methodological parameters can influence the carbon footprint of bio-based materials, especially bio-concretes, like biogenic carbon, amount of carbon in dry matter, rotation period of bio-aggregates, and type of cementitious materials. It is important to have easier ways of estimating the carbon footprint of bio-concretes, using parameters and data easily available. This research aims to evaluate the (1) carbon footprint of different mixtures of three bio-concretes (wood bio-concrete - WBC, bamboo bio-concrete - BBC and rice husk bio-concrete - RBC), and the (2) development of GHG emissions curves for bio-concretes specification based on easily available data (such as density, biomass content, and compressive strength). Based on experimental data, the carbon footprint was performed using the Life Cycle Assessment (LCA) methodology. In order to extend the findings of this study, the context of the following four countries was evaluated: Brazil, South Africa, India, and China. In addition, the replacement of Portland cement for Supplementary Cementitious Materials (SCMs) are evaluated hypothetically. The results show that the increase of biomass content in bio-concretes and the replacement of Portland cement by SCMs leads to a radical decrease in life cycle GHG emissions. The percentage of carbon in biomass is a critical factor for reducing the carbon footprint. The WBC was the biomass that performed better for this parameter. The presented GHG emissions curves can be a useful way to estimate the carbon footprint of bio-concretes and can be adapted to other kinds of bio-concretes and countries.

scholarly journals Carbon and water footprint of coffee consumed in Finland—life cycle assessment

2020 ◽  
Vol 25 (10) ◽  
pp. 1976-1990
Author(s):  
Kirsi Usva ◽  
Taija Sinkko ◽  
Frans Silvenius ◽  
Inkeri Riipi ◽  
Hannele Heusala
Keyword(s):  
Life Cycle ◽  
Carbon Footprint ◽  
Water Scarcity ◽  
Management Practices ◽  
Water Footprint ◽  
Ghg Emissions ◽  
Climate Impacts ◽  
Primary Data ◽  
Coffee Cultivation ◽  
Irrigation Optimization

Abstract Purpose Coffee is one of the most widely grown cash crops globally, but there are few scientific articles on its carbon footprint and water scarcity impacts. The aim of this study was to assess the carbon footprint and water scarcity impacts throughout the life cycle of the coffee chain (cradle-to-grave) and to identify the most important sources of the impacts (hotspots). Methods The system included all the key stages of the supply chain from land use change and coffee cultivation to roasting and household consumption. Primary data was collected from eight coffee cultivation farms in Brazil, Nicaragua, Colombia and Honduras and coffee roastery and packaging manufacturers in Finland. The AWARE method was applied in a water scarcity impact assessment. Results and discussion The carbon footprint varied from 0.27 to 0.70 kg CO2 eq/l coffee. The share of the coffee cultivation stage varied from 32 to 78% and the consumption stage from 19 to 49%. The use of fertilizers was the most important process contributing to the carbon footprint. Furthermore, deforestation-related emissions notably increased the carbon footprint of coffee from Nicaragua. Compared with the previous literature, our results indicate a relatively larger share of climate impacts in the cultivation stage and less during consumption. The water scarcity impact was relatively low for non-irrigated systems in Central America, 0.02 m3 eq/l coffee. On Brazilian farms, irrigation is a major contributor to the water scarcity impact, varying from 0.15 to 0.27 m3 eq/l coffee. Conclusions Improving the management practices in cultivation and fertilization is key for lower GHG emissions. Irrigation optimization is the most important mitigation strategy to reduce water scarcity impact. However, actions to reduce these two impacts should be executed side by side to avoid shifting burdens between the two.

Analysis of Calculation Methods for Life Cycle Greenhouse Gas Emissions for Road Sector

2017 ◽  
Author(s):  
Viktoras Vorobjovas ◽  
Algirdas Motiejunas ◽  
Tomas Ratkevicius ◽  
Alvydas Zagorskis ◽  
Vaidotas Danila
Keyword(s):  
Climate Change ◽  
Life Cycle ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Ghg Emissions ◽  
Road Construction ◽  
Evaluation Methods ◽  
The Road ◽  
Construction Methods ◽  
The Impact

Climate change is one of the main nowadays problem in the world. The politics and strategies for climate change and tools for reduction of greenhouse gas (GHG) emissions and green technologies are created and implemented. Mainly it is focused on energy, transport and construction sectors, which are related and plays a significant role in the roads life cycle. Most of the carbon footprint emissions are generated by transport. The remaining emissions are generated during the road life cycle. Therefore, European and other countries use methods to calculate GHG emissions and evaluate the impact of road construction methods and technologies on the environment. Software tools for calculation GHG emissions are complicated, and it is not entirely clear what GHG emission amounts generate during different stages of road life cycle. Thus, the precision of the obtained results are often dependent on the sources and quantities of data, assumptions, and hypothesis. The use of more accurate and efficient calculation-evaluation methods could let to determine in which stages of road life cycle the largest carbon footprint emissions are generated, what advanced road construction methods and technologies could be used. Also, the road service life could be extended, the consumption of raw materials, repair, and maintenance costs could be reduced. Therefore the time-savings could be improved, and the impact on the environment could be reduced using these GHG calculation-evaluation methods.

scholarly journals Comparison of Product Carbon Footprint Protocols: Case Study on Medium-Density Fiberboard in China

2018 ◽  
Vol 15 (10) ◽  
pp. 2060 ◽  
Author(s):  
Shanshan Wang ◽  
Weifeng Wang ◽  
Hongqiang Yang
Keyword(s):  
Life Cycle ◽  
End Of Life ◽  
Carbon Footprint ◽  
Medium Density Fiberboard ◽  
Ghg Emissions ◽  
Life Cycle Stage ◽  
Medium Density ◽  
Biogenic Carbon ◽  
Pas 2050

Carbon footprint (CF) analysis is widely used to quantify the greenhouse gas (GHG) emissions of a product during its life cycle. A number of protocols, such as Publicly Available Specification (PAS) 2050, GHG Protocol Product Standard (GHG Protocol), and ISO 14067 Carbon Footprint of Products (ISO 14067), have been developed for CF calculations. This study aims to compare the criteria and implications of the three protocols. The medium-density fiberboard (MDF) (functional unit: 1 m3) has been selected as a case study to illustrate this comparison. Different criteria, such as the life cycle stage included, cut-off criteria, biogenic carbon treatment, and other requirements, were discussed. A cradle-to-gate life cycle assessment (LCA) for MDF was conducted. The CF values were −667.75, −658.42, and 816.92 kg of carbon dioxide equivalent (CO2e) with PAS 2050, GHG protocol, and ISO 14067, respectively. The main reasons for the different results obtained were the application of different cut-off criteria, exclusion rules, and the treatment of carbon storage. A cradle-to-grave assessment (end-of-life scenarios: landfill and incineration) was also performed to identify opportunities for improving MDF production. A sensitivity analysis to assess the implications of different end-of-life disposals was conducted, indicating that landfill may be preferable from a GHG standpoint. The comparison of these three protocols provides insights for adopting appropriate methods to calculate GHG emissions for the MDF industry. A key finding is that for both LCA practitioners and policy-makers, PAS 2050 is preferentially recommended to assess the CF of MDF.

Life cycle assessment of horticultural production on UK lowland peat soils.

2020 ◽  
Author(s):  
Benjamin Freeman ◽  
David Styles ◽  
Christopher Evans ◽  
David Chadwick ◽  
David Jones
Keyword(s):  
Land Use ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Agricultural Land ◽  
Ghg Emissions ◽  
Efficient Production ◽  
Peat Soils ◽  
Responsible Management ◽  
The Uk

<p>Global peatlands store >600 Gt of Carbon (C) but are highly vulnerable to degradation following drainage for agriculture. The extensively drained East Anglian Fens include half of England’s most productive agricultural land, produce ~33% of England’s vegetables and support a food production industry worth approximately £3 billion GBP.  However under arable management, these fen peat soils produce ~37.5 t CO<sub>2</sub> eq ha<sup>-1</sup> of total greenhouse gas (GHG) emissions annually. This is likely to be the largest source of land use GHG emissions in the UK per unit area and there is interest in developing responsible management approaches to reduce emissions whilst maintaining economically productive systems. Lettuce (Lactuca sativa) is amongst the UK’s most valuable crops and a substantial proportion of UK production occurs in the Fens. We undertook a life cycle assessment to compare the carbon footprint of UK Fen lettuce with alternative sources of lettuce for the UK market. We also examined the potential for responsible peat management strategies and more efficient production to reduce the carbon footprint of Fen lettuce. It is hoped this study will help to inform land use decision making and encourage responsible management of UK lowland peat resources.</p>

scholarly journals Projection of National Carbon Footprint in Japan with Integration of LCA and IAMs

2019 ◽  
Vol 11 (23) ◽  
pp. 6875 ◽  
Author(s):  
Ichisugi ◽  
Masui ◽  
Karkour ◽  
Itsubo
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Computable General Equilibrium ◽  
Ghg Emissions ◽  
Asia Pacific ◽  
Life Cycle Thinking ◽  
Fiscal Year ◽  
Industrial Sectors ◽  
Carbon Productivity

In order to achieve target greenhouse gas (GHG) emissions, such as those proposed by each country by nationally determined contributions (NDCs), GHG emission projections are receiving attention around the world. Generally, integrated assessment models (IAMs) are used to estimate future GHG emissions considering both economic structure and final energy consumption. However, these models usually do not consider the entire supply chain, because of differences in the aims of application. In contrast, life cycle assessment (LCA) considers the entire supply chain but does not cover future environmental impacts. Therefore, this study aims to evaluate the national carbon footprint projection in Japan based on life cycle thinking and IAMs, using the advantages of each. A future input–output table was developed using the Asia-Pacific integrated model (AIM)/computable general equilibrium (CGE) model (Japan) developed by the National Institute for Environmental Studies (NIES). In this study, we collected the fundamental data using LCA databases and estimated future GHG emissions based on production-based and consumption-based approaches considering supply chains among industrial sectors. We targeted fiscal year (FY) 2030 because the Japanese government set a goal for GHG emissions in 2030 in its NDC report. Accordingly, we set three scenarios: FY2005 (business as usual (BAU)), FY2030 (BAU), and FY2030 (NDC). As a result, the carbon footprint (CFP) in FY2030 will be approximately 1097 megatons of carbon dioxide equivalent (MtCO₂eq), which is 28.5% lower than in FY2005. The main driver of this reduction is a shift in energy use, such as the introduction of renewable energy. According to the results, the CFP from the consumption side, fuel combustion in the use stage, transport and postal services, and electricity influence the total CFP, while results of the production side showed the CFP of the energy and material sectors, such as iron and steel and transport, will have an impact on the total CFP. Moreover, carbon productivity will gradually increase and FY2030 (NDC) carbon productivity will be higher than the other two cases.

scholarly journals Carbon footprint associated to urban water cycle of Córdoba (Spain)

2019 ◽  
Vol 1 (1) ◽  
pp. 21-25
Author(s):  
Rafael Marín Galvín
Keyword(s):  
Energy Consumption ◽  
Carbon Footprint ◽  
Water Cycle ◽  
Ghg Emissions ◽  
Urban Water ◽  
Total Energy Consumption ◽  
A Value ◽  
Co2 Equivalent ◽  
Environmental Balance ◽  
Urban Water Cycle

Carbon footprint is a measure used to quantify greenhouse gases (GHG) emissions associated with organizations, events or activities or with the life cycle of a product to determine its contribution to climate change, being expressed in kg of CO2 equivalent. GHG emissions can be direct or indirect, derived last ones from energy consumption. In the case of the urban water cycle (which uses 3% of the total energy consumption in Spain), the emissions come mainly from the use of energy. Thus, to estimate this type of emissions it can be taken into account both, energy consumption and emission factors, these last ones which associate quantity of energy consumed and quantity of gases emitted. This work presents the result to calculate the carbon footprint related to urban water cycle of Córdoba in the last six years: 4,225.541 T of CO2 eq/year are emitted, at a rate of 12.92 kg of CO2 eq/year per inhabitant, and 0.176 kg of CO2 eq. per m3/water managed by the company. If we compare this result with the obtained in our last studied period (2012-14) which reached a value of 5,015.80 T of CO2 eq/year (-15%) and a rate of 15.2 kg of CO2 eq/year per inhabitant, we can conclude that the company has shown a relevant positive environmental balance.

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