Life cycle assessment of corn stover production for cellulosic ethanol in Quebec

2011 ◽  
Vol 91 (6) ◽  
pp. 997-1012 ◽  
Author(s):  
Thea Whitman ◽  
Sandra Yanni ◽  
Joann Whalen
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Corn Stover ◽  
Cellulosic Ethanol ◽  
Soil Health ◽  
Ghg Emissions ◽  
Sensitivity Analyses ◽  
Pass System ◽  
Total Impact ◽  
Allocation Methods

Whitman, T., Yanni, S.F. and Whalen, J.K. 2011.Life cycle assessment of corn stover production for cellulosic ethanol in Quebec. Can. J. Soil Sci.91: 997–1012. The province of Quebec has a target of 5% ethanol (EtOH) content in fuel by 2012, which means the province will require about 400 million L of ethanol per year based on current consumption. Current research is focused on “second generation biofuels” such as cellulosic EtOH, which can be produced from agricultural by-products like corn stover. A life cycle assessment (LCA) evaluates the “cradle to gate” impact of corn stover feedstock production for cellulosic EtOH production in three corn-producing regions in Quebec for two impact categories: energy and greenhouse gas (GHG) impacts. The modelled system boundaries include in-field processes: corn stover production, collection, transport, soil organic carbon (SOC) loss, and N2O emissions, as well as background processes: herbicide, fertilizer, seed, and fuel production and transport. Sensitivity analyses vary the percentage of corn stover collected, contrast a multiple-pass with a one-pass stover-grain collection system, and compare mass, economic and system expansion allocation methods. Total energy impact is 931–1442 MJ t−1 dry stover collected under 15% stover collection, with stover harvest, transport, and field operationscontributing most strongly to the total impact. Total GHG emissions from corn stover production and transport of stover to the ethanol facility are320–488kg CO2e t−1 dry stover under 15% stover collection, with SOC loss, N2O emissions, and stover harvest contributing the most to the total impact. Sensitivity analysis reveals that the energy and GHG impacts of stover production are strongly influenced by the mass of stover collected, the use of a one-pass system, and the choice of allocation methods. Scaling-up results from the modelled system suggest that 100% of Quebec's EtOH targets could technically be supplied using corn stover feedstock, but this may come at the expense of GHG emissions and soil health.

Incorporating Life Cycle Assessment (LCA) in Freight Transportation Infrastructure Project Evaluation

2017 ◽  
Author(s):  
Soumith Kumar Oduru ◽  
Pasi Lautala
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Fossil Fuels ◽  
Ghg Emissions ◽  
Freight Transportation ◽  
Evaluation Process ◽  
Planning Stage ◽  
Simplified Lca ◽  
Modal Route

Transportation industry at large is a major consumer of fossil fuels and contributes heavily to the global greenhouse gas emissions. A significant portion of these emissions come from freight transportation and decisions on mode/route may affect the overall scale of emissions from a specific movement. It is common to consider several alternatives for a new freight activity and compare the alternatives from economic perspective. However, there is a growing emphasis for adding emissions to this evaluation process. One of the approaches to do this is through Life Cycle Assessment (LCA); a method for estimating the emissions, energy consumption and environmental impacts of the project throughout its life cycle. Since modal/route selections are often investigated early in the planning stage of the project, availability of data and resources for analysis may become a challenge for completing a detailed LCA on alternatives. This research builds on such detailed LCA comparison performed on a previous case study by Kalluri et al. (2016), but it also investigates whether a simplified LCA process that only includes emissions from operations phase could be used as a less resource intensive option for the analysis while still providing relevant outcomes. The detailed LCA is performed using SimaPro software and simplified LCA is performed using GREET 2016 model. The results are obtained in terms of Kg CO2 equivalents of GHG emissions. This paper introduces both detailed and simplified methodologies and applies them to a case study of a nickel and copper mine in the Upper Peninsula of Michigan. The analysis’ are done for three modal alternatives (two truck routes and one rail route) and for multiple mine lives.

Life cycle assessment comparison of three typical energy utilization ways for corn stover in China

2021 ◽  
Vol 152 ◽  
pp. 106199
Author(s):  
Xing Su ◽  
Xiaolu Shao ◽  
Shaochen Tian ◽  
He Li ◽  
Yixiang Huang
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Corn Stover ◽  
Energy Utilization

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.

Life cycle assessment of lignocellulosic ethanol: a review of key factors and methods affecting calculated GHG emissions and energy use

2016 ◽  
Vol 38 ◽  
pp. 63-70 ◽  
Author(s):  
Kelsey Gerbrandt ◽  
Pei Lin Chu ◽  
Allison Simmonds ◽  
Kimberley A Mullins ◽  
Heather L MacLean ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Use ◽  
Ghg Emissions ◽  
Lignocellulosic Ethanol ◽  
Key Factors

Life Cycle Assessment of Greenhouse Gas Emissions: Comparison Between a Cooling Tower and a Geothermal Heat Exchanger for Air Conditioning Applications in Ecuador

2019 ◽  
Author(s):  
Frank Porras ◽  
Angel D. Ramirez ◽  
Arnaldo Walter ◽  
Guillermo Soriano
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Heat Exchanger ◽  
Air Conditioning ◽  
Electricity Generation ◽  
Cooling Tower ◽  
Ghg Emissions ◽  
Experimental Comparison ◽  
Geothermal Heat ◽  
Geothermal Heat Exchanger

Abstract Cooling towers are widely used to remove heat in buildings with chilled water air conditioning systems. Moreira et al. [1] performed an experimental comparison between a cooling tower (CT) and a geothermal heat exchanger (GHE) in Guayaquil-Ecuador (hot/humid climate) and the results show an advantage of 39% of GHE systems regarding energy efficiency. This study compares the emissions of greenhouse gases (GHG), considering the results of the research mentioned above and comparing both systems. A life cycle assessment (LCA) approach was used to estimate the GHG emissions, assuming three scenarios for the electricity supply: the electricity generation mix in 2016, the planned electricity generation mix in 2025, and the profile for marginal electricity generation (peak demand). The estimated reduction of GHG emissions due to the use of GHE systems could be up to 50%. GHEs for building air conditioning applications is a technological option with potential to reduce energy consumption and GHG emissions. However, additional work is necessary to evaluate the complete environmental profile and its cost-effectiveness.

Hydroponic cultivation: life cycle assessment of substrate choice

2019 ◽  
Vol 121 (8) ◽  
pp. 1801-1812 ◽  
Author(s):  
Giuliana Vinci ◽  
Mattia Rapa
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Footprint ◽  
Environmental Sustainability ◽  
Impact Analysis ◽  
Content Type ◽  
Hydroponic Cultivation ◽  
Hydroponic Systems ◽  
Total Impact ◽  
Rock Wool

Purpose Nowadays, hydroponic cultivation represents a widely used agricultural methodology. The purpose of this paper is to study comparatively on hydroponic substrates. This study is highlighting the best substrate to be involved in hydroponic systems, considering its costs and its sustainability. Design/methodology/approach Seven substrates were evaluated: rock wool, perlite, vermiculite, peat, coconut fibres, bark and sand. Life cycle assessment (life cycle inventory, life cycle impact assessment (LCIA) and life cycle costing (LCC)) was applied to evaluate the environmental and economic impact. Through the results of the impacts, the carbon footprint of each substrate was calculated. Findings Perlite is the most impacting substrate, as highlighted by LCIA, followed by rock wool and vermiculite. The most sustainable ones, instead, are sand and bark. Sand has the lower carbon footprint (0.0121 kg CO2 eq.); instead, bark carbon footprint results in one of the highest (1.1197 kg CO2 eq.), while in the total impact analysis this substrate seems to be highly sustainable. Also for perlite the two results are in disagreement: it has a high total impact but very low carbon footprint (0.0209 kg CO2 eq.) compared to the other substrates. From the LCC analysis it appears that peat is the most expensive substrate (€6.67/1,000 cm3), while sand is the cheaper one (€0.26/1,000 cm3). Originality/value The LCA and carbon footprint methodologies were applied to a growing agriculture practice. This study has highlighted the economic and environmental sustainability of seven substrates examined. This analysis has shown that sand can be the best substrate to be involved in hydroponic systems by considering its costs and its sustainability.

scholarly journals Life Cycle Assessment of the New Generation GT-MHR Nuclear Power Plant

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3452 ◽  
Author(s):  
Paul Koltun ◽  
Alfred Tsykalo ◽  
Vasily Novozhilov
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Greenhouse Gases ◽  
Nuclear Power ◽  
Energy Intensity ◽  
Ghg Emissions ◽  
Electricity Production ◽  
Hybrid Lca

This study describes a life cycle assessment (LCA) of a fourth generation (4G) nuclear power plant. A high temperature helium cooled reactor and gas turbine technology with modular helium reactor (GT-MHR) is used in this study as an example. This is currently one the safest design of a nuclear power plant. The study also takes into account impact of accidents and incidents (AI) which happened around the world at nuclear power generation facilities. The adopted method for the study is a hybrid LCA analysis. The analysis of each phase of the life cycle was done on the basis of process chain analysis (PCA). Where detailed data were not available, the Input/Output (I/O) databases was employed. The obtained results show that greenhouse gases (GHG) emissions and energy intensity per unit of electricity production are relatively low. In fact, these are even lower than emissions from a number of renewable energy sources. The results show considerably different greenhouse gases (GHG) emissions and energy intensity per unit of electricity production when effects of AI are taken into account.

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