scholarly journals Additional Greenhouse Gas Emissions and Offset Potential from Sugarcane Straw Recovery for Bioenergy Production in Southern Brazil

2021 ◽  
Author(s):  
Eduardo Barretto de Figueiredo ◽  
Susantha Jayasundara ◽  
Ricardo de Oliveira Bordonal ◽  
Alan Rodrigo Panosso ◽  
Newton La Scala
Keyword(s):  
Ethanol Production ◽  
Emission Factor ◽  
Ghg Emissions ◽  
Soil Surface ◽  
Electricity Production ◽  
Technical Parameters ◽  
Sugarcane Straw ◽  
Experimental Parameters ◽  
Sustainable Energy Systems ◽  
Efficiency Rate

Abstract This study was designed to assess the additional greenhouse (GHG) emissions including measurements of soil CO 2 -C emissions in sugarcane areas plus emissions associated with the recovery and transport operations of straw bales up to the factory gate for electricity production, contrasting with leaving all straw on the soil surface. The total additional GHG emissions considering the main sources evaluated ( i.e ., soil CO 2 -C, diesel use and N 2 O from straw), was estimated at 1,465 kg CO 2 eq ha -1 , resulting an emission factor of 212. 6 kg CO 2 eq ton -1 of straw recovered. Applying the parameters cited in this study for electricity or 2G ethanol production (GHG balance of emission and offset potential), our results showed that straw-based for electricity production would result in additional GHG emissions of (+) 860 kg CO 2 eq ha -1 . In contrast, applying the same study parameters for 2G ethanol production replacing gasoline, an avoided GHG emission of (-) 2,316 kg CO 2 eq ha -1 could be achieved. The route of recovering around 27% of sugarcane straw through bale system for bioelectricity production using technical parameters and industrial efficiency rate of this study could not be a sustainable option because the additional emissions can be higher than its potential to offset generated emissions, based on the emission factor of Brazilian energy matrix. Applying the same experimental parameters, the option of producing ethanol 2G with around 6.89 ton DM ha -1 of sugarcane straw could offset gasoline GHG emissions, contributing with sustainable energy systems.

scholarly journals Sulfentrazone efficiency on Ipomoea hederifolia and Ipomoea quamoclit as influenced by rain and sugarcane straw

2013 ◽  
Vol 31 (1) ◽  
pp. 165-174 ◽  
Author(s):  
N.M Correia ◽  
E.H Camilo ◽  
E.A Santos
Keyword(s):  
Field Experiment ◽  
Biological Effects ◽  
Soil Surface ◽  
Time Interval ◽  
Herbicide Application ◽  
Time Intervals ◽  
Greenhouse Experiments ◽  
Sugarcane Straw ◽  
Simulated Rain ◽  
Rain Simulation

The aim of this study was to assess the capacity of sulfentrazone applied in pre-emergence in controlling Ipomoea hederifolia and Ipomoea quamoclit as a function of the time interval between herbicide application and the occurrence of rain, and the presence of sugarcane straw on the soil surface. Two greenhouse experiments and one field experiment were conducted. For the greenhouse experiments, the study included three doses of sulfentrazone applied by spraying 0, 0.6, and 0.9 kg ha-1, two amounts of straw on the soil (0 and 10 t ha-1), and five time intervals between the application of herbicide and rain simulation (0, 20, 40, 60, and 90 days). In the field experiment, five herbicide treatments (sulfentrazone at 0.6 and 0.9 kg ha-1, sulfentrazone + hexazinone at 0.6 + 0.25 kg ha-1, amicarbazone at 1.4 kg ha-1, and imazapic at 0.147 kg ha-1) and two controls with no herbicide were studied. Management conditions with or without sugarcane straw on the soil were also assessed. From the greenhouse experiments, sulfentrazone application at 0.6 kg ha-1 was found to provide for the efficient control of I. hederifolia and I. quamoclit in a dry environment, with up to 90 days between herbicide application and rain simulation. After herbicide application, 20 mm of simulated rain was enough to leach sulfentrazone from the straw to the soil, as the biological effects observed in I. hederifolia and I. quamoclit remained unaffected. Under field conditions, either with or without sugarcane straw left on the soil, sulfentrazone alone (0.6 or 0.9 kg ha-1) or sulfentrazone combined with hexazinone (0.6 + 0.25 kg ha-1) was effective in the control of I. hederifolia and I. quamoclit, exhibiting similar or better control than amicarbazone (1.4 kg ha-1) and imazapic (0.147 kg ha-1).

Ethanol production from sugarcane straw using different configurations of fermentation and techno-economical evaluation of the best schemes

2020 ◽  
Vol 156 ◽  
pp. 377-388 ◽  
Author(s):  
Leyanis Mesa ◽  
Yenisleidy Martínez ◽  
Ana Celia de Armas ◽  
Erenio González
Keyword(s):  
Ethanol Production ◽  
Sugarcane Straw ◽  
Economical Evaluation

scholarly journals Uncertainty Analysis of Greenhouse Gas (GHG) Emissions Simulated by the Parametric Monte Carlo Simulation and Nonparametric Bootstrap Method

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4965
Author(s):  
Kun Mo Lee ◽  
Min Hyeok Lee ◽  
Jong Seok Lee ◽  
Joo Young Lee
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Emission Factor ◽  
Bootstrap Method ◽  
Ghg Emissions ◽  
Parametric Bootstrap ◽  
Random Variable ◽  
Ghg Emission ◽  
Nonparametric Bootstrap ◽  
Mcs Method

Uncertainty of greenhouse gas (GHG) emissions was analyzed using the parametric Monte Carlo simulation (MCS) method and the non-parametric bootstrap method. There was a certain number of observations required of a dataset before GHG emissions reached an asymptotic value. Treating a coefficient (i.e., GHG emission factor) as a random variable did not alter the mean; however, it yielded higher uncertainty of GHG emissions compared to the case when treating a coefficient constant. The non-parametric bootstrap method reduces the variance of GHG. A mathematical model for estimating GHG emissions should treat the GHG emission factor as a random variable. When the estimated probability density function (PDF) of the original dataset is incorrect, the nonparametric bootstrap method, not the parametric MCS method, should be the method of choice for the uncertainty analysis of GHG emissions.

scholarly journals Agronomic performance of sugarcane cultivated under quantities of sugarcane straw on the soil surface

2016 ◽  
Vol 37 (6) ◽  
pp. 3983 ◽  
Author(s):  
Mariana Alves de Oliveira ◽  
Claudemir Zucareli ◽  
Carmen Silvia Vieira Janeiro Neves ◽  
Allan Ricardo Domingues ◽  
Cristiane De Conti Medina ◽  
...  
Keyword(s):  
Crop Yield ◽  
Polynomial Regression ◽  
Soil Surface ◽  
First Year ◽  
Agronomic Performance ◽  
Sugarcane Variety ◽  
Crop Establishment ◽  
Sugarcane Straw ◽  
Second Year ◽  
Plot Design

Mechanized harvesting is increasingly present in the sugarcane production system. The straw removed during harvest can be converted to ethanol or used to generate electricity by burning, it is important to determine the amount of biomass that may be removed without damage to the crop. We evaluated the agronomic performance of sugarcane, variety RB92579, grown under different quantities of sugarcane straw on the soil surface, in the first and second year of cane crop. We used the experimental randomized block in split plot design, with four replications. In the first year the plots received five quantities of straw (0, 4.5, 9.0, 13.5 and 18 Mg ha-1), and six times assessments (60, 120, 180, 240, 300, 360 days after planting) arranged in the subplots. In the second year, the plots received the same quantities of straw and four times assessments (60, 120, 240 and 540 days after the regrowth) in subplots. Biometric indexes, components of production and crop yield were evaluated. The data were submitted to variance analysis and study of polynomial regression (p <0.05). Increasing quantities of sugarcane straw deposited on the soil surface reduces the number and diameter of the stem at the beginning crop establishment, and number of sheets for the first year. The maximum productivity of stems is achieved by maintaining 9,6 Mg ha-1 of straw for first year and 4,7 Mg ha-1 of straw for second year of cane crop.

scholarly journals Sugarcane straw decomposition and carbon balance as a function of initial biomass and vinasse addition to soil surface

Bragantia ◽  
2017 ◽  
Vol 76 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Carina Sayuri Yamaguchi ◽  
Nilza Patrícia Ramos ◽  
Cristina Silva Carvalho ◽  
Adriana Marlene Moreno Pires ◽  
Cristiano Alberto de Andrade
Keyword(s):  
Soil Carbon ◽  
Carbon Concentration ◽  
Decomposition Rate ◽  
Soil Layer ◽  
Soil Surface ◽  
Soil Samples ◽  
Water Retention Capacity ◽  
Straw Decomposition ◽  
Retention Capacity ◽  
Sugarcane Straw

ABSTRACT The objective of this study was to evaluate sugarcane straw decomposition and the potential of increasing soil carbon as a function of the initial biomass and vinasse addition to soil surface. The experimente consisted of incubation (240 days, in the dark, humidity equivalent to 70% of soil water retention capacity and average temperature of 28 °C) of Oxisol soil samples (0-20 cm soil layer) with straw added to soil surface at rates of 2; 4; 8; 16 and 24 t∙ha−1 and with or without vinasse addition (200 m3∙ha-1). The following variables were determined: released C-CO2, remaining straw dry matter, carbon straw and soil carbon concentration. The added biomass did not influence straw decomposition rate, but vinasse treatments provided rates between 70 and 94% compared to 68 to 75% for the ones without vinasse. The straw (16 and 24 t∙ha−1) decomposition rate increased between 14 and 35% due to vinasse addition, but the same behavior was not observed for released C-CO2. This result was explained by the twofold increase of soil carbon concentration, estimated by mass balance and confirmed analytically by the carbon concentration of soil samples. It was concluded that sugarcane straw decomposition, under no limiting conditions of humidity and temperature, did not depend on biomass initially added and that vinasse addition accelerated straw decomposition and potentialized carbon input into the soil.

scholarly journals Dynamics of Clomazone Formulations Under Different Applications Conditions

2019 ◽  
Vol 37 ◽  
Author(s):  
L. TROPALDI ◽  
I.P.F.S. BRITO ◽  
R.C. DIAS ◽  
M.L.B. TRINDADE ◽  
C.A. CARBONARI ◽  
...  
Keyword(s):  
Dry Matter ◽  
Soil Surface ◽  
Physicochemical Characteristics ◽  
Rainfall Simulation ◽  
Panicum Maximum ◽  
Sugarcane Straw ◽  
Randomized Design ◽  
Urochloa Decumbens ◽  
Completely Randomized Design ◽  
Production Areas

ABSTRACT: Maintenance of straw on the soil surface in sugarcane production areas can influence weed occurrence and herbicide dynamics. After application, considerable losses of clomazone can occur as a result of its physicochemical characteristics. For this reason, novel formulations have been developed. In addition to the conventional formulation, microencapsulated formulations are currently available. Thus, the aim of this study was to observe and compare the effect of clomazone formulations under different application conditions. For this purpose, the experiment was carried with 12 treatments in a completely randomized design, with four replications, using clomazone formulations (1,200 g a.i. ha-1), on soils with different moisture levels, in the presence and absence of sugarcane straw, followed or not by rainfall simulation. The treatments were compared by observation of number of emerged plants and phytotoxicity at 7 and 14 DAA, as well shoot dry matter at 14 DAA for Ipomoea nil, Urochloa decumbens and Panicum maximum. In general, the microencapsulated formulation presented a better performance under the less suitable application conditions when compared to the conventional one. However, for the other conditions, both formulations had a similar performance.

scholarly journals Informing urban climate planning with high resolution data: the Hestia fossil fuel CO2 emissions for Baltimore, Maryland

2020 ◽  
Author(s):  
Geoffrey Scott Roest ◽  
Kevin R Gurney ◽  
Scot M Miller ◽  
Jianming Liang
Keyword(s):  
Greenhouse Gas ◽  
Fossil Fuel ◽  
Ghg Emissions ◽  
Point Sources ◽  
The Self ◽  
Greenhouse Gas Mitigation ◽  
Electricity Production ◽  
Ghg Mitigation ◽  
High Resolution Data ◽  
Atmospheric Monitoring

Abstract Background: Cities contribute more than 70% of global anthropogenic carbon dioxide (CO2) emissions and are leading the effort to reduce greenhouse gas (GHG) emissions through sustainable planning and development. However, urban greenhouse gas mitigation often relies on self-reported emissions estimates that may be incomplete and unverifiable via atmospheric monitoring of GHGs. We present the Hestia Scope 1 fossil fuel CO2 (FFCO2) emissions for the city of Baltimore, Maryland – a gridded annual and hourly emissions data product for 2010 through 2015 (Hestia-Baltimore v1.6). We also compare the Hestia-Baltimore emissions to overlapping Scope 1 FFCO2 emissions in Baltimore’s self-reported inventory for 2014. Results: The Hestia-Baltimore emissions in 2014 totaled 1487.3 kt C (95% confidence interval of 1,158.9 – 1,944.9 kt C), with the largest emissions coming from onroad (34.2% of total city emissions), commercial (19.9%), residential (19.0%), and industrial (11.8%) sectors. Scope 1 electricity production and marine shipping were each generally less than 10% of the city’s total emissions. Baltimore’s self-reported Scope 1 FFCO2 emissions included onroad, natural gas consumption in buildings, and some electricity generating facilities within city limits. The self-reported Scope 1 FFCO2 total of 1,182.6 kt C was similar to the sum of matching emission sectors and fuels in Hestia-Baltimore v1.6. However, 20.5% of Hestia-Baltimore’s emissions were in sectors and fuels that were not included in the self-reported inventory. Petroleum use in buildings were omitted and all Scope 1 emissions from industrial point sources, marine shipping, nonroad vehicles, rail, and aircraft were categorically excluded.Conclusions: The omission of petroleum combustion in buildings and categorical exclusions of several sectors resulted in an underestimate of total Scope 1 FFCO2 emissions in Baltimore’s self-reported inventory. Accurate Scope 1 FFCO2 emissions, along with Scope 2 and 3 emissions, are needed to inform effective urban policymaking for system-wide GHG mitigation. We emphasize the need for comprehensive Scope 1 emissions estimates for emissions verification and measuring progress towards Scope 1 GHG mitigation goals using atmospheric monitoring.

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