Study of Greenhouse Gas Emission from Young Cattle Manure Processing

Currently, the system of accounting and monitoring of greenhouse gas emissions is being formed in the Russian Federation. It should be noted that within the framework of the system being formed, the transport sector is considered as the main contributor that generates large amounts of greenhouse gas emissions in cities and on busy federal highways. At the same time, it is proposed to take into account emissions directly when burning fuel only by road, city electric, rail, water and air transport. The article discusses methods for estimating gross emissions from road facilities using data mining methods aimed at verifying the results obtained. The article also presents the calculation of greenhouse gas emissions for road facilities in the pilot region with a description of the verification algorithm for the results obtained. The results of testing the methods for determining greenhouse gas emissions by road facilities showed that this calculation method can be used in estimating greenhouse gas emissions at road facilities, however, reliable baseline data for calculating gross greenhouse gas emissions can only be obtained by analyzing the activities of economic entities in transport and in the road sector. It should be borne in mind that business entities are not obliged to provide information constituting commercial secrets from their point of view. Therefore, the results obtained are of an estimated nature and relate only to those objects, data on which could be obtained from official statistics and free sources, while the actual amount of greenhouse gas emissions from road facilities in the pilot region during the period under review may be significantly higher.

The activities of several sectors cause an increase in the amount of greenhouse gas emissions. Household activities also produce greenhouse gas emissions, mainly from cooking, electricity use, solid waste, and wastewater. The dominant greenhouse gas emissions from household activities are CO2, CH4, and N2O. This study aims to inventory greenhouse gas emissions from household activities in Medan City and determine several mitigation scenarios in reducing greenhouse gas emissions from household activities. The method used in calculating greenhouse gas emissions is the IPCC method. The results of an inventory of GHG emissions from household activities in Medan City for energy consumption (LPG and electricity) are 1.16 million tons CO2e/year, household solid waste is 36801.5 tons CO2e/year, and household wastewater is 198723.12 tons CO2e/year. The scenario of replacing LPG with an induction stove can reduce GHG emissions by an average of 21.08%, the design of using solar panels on the roof can reduce GHG emissions by an average of 30.19%, the composting scenario can reduce GHG emissions by an average of 0.38% and utilization CH4 from household wastewater as electrical energy can reduce GHG emissions by 1.23%.

Greenhouse gas emissions produced by supply chain processes such as manufacturing, warehousing, or transportation have a huge impact on climate change. Hence, they are the focus of possible future regulations introduced by (inter)national institutions. In particular, transportation processes play a decisive role in supply chains and are responsible for a significant amount of greenhouse gas emissions. Therefore, many companies try to quantify the amount of emissions caused by their transportation activities. At the moment, several tools for the calculation of greenhouse gas emissions, so called carbon calculators, are available but their results vary to a large extent depending on the input data, the parameters included, and the methodology used. Especially real time data like traffic conditions or driving habits are not taken into account although they affect the result significantly. For that purpose we present a conceptual framework for the integration of real time data and carbon calculators by linking greenhouse gas emission data with Transportation Management Systems. By doing so, the accuracy of emission estimates from a carbon calculator can be improved.

Taking sample processes from the combined heat and power plant in Busan Fashion Color Industry Complex, the characteristics and amounts of greenhouse gas (GHGs) emissions were analysed and calculated, respectively. Based on the results, environmental assessment was evaluated for recent 3 years. The amounts of GHG emissions from 2011 to 2013 were estimated at 182,750, 184,384 and 190,250 Ton.CO2eq/year, respectively. GHG emissions from stationary combustion sources were found to be more than 99 % of the total emissions. Also, the overall eco-efficiency indicator for environmental assessment was more than 1, suggesting that these results would be beneficial for GHG emissions allowance allocations.

Manure treatment such as anaerobic digestion and solid-liquid separation has shown a potential to abate greenhouse gas (GHG) emissions, but few studies have considered GHG emissions from both storage and field application regarding crop yield. In this study, four different organic fertilizers were studied: untreated cattle manure (CA); digestate of cattle manure anaerobically co-digested with grass-clover (DD); a liquid fraction from the separation of DD (LF); and a liquid fraction derived from a biogas desulfurization biofilter enriched with sulfur and ammonium (NS). The CH4, N2O and NH3 emissions during storage of CA, DD and LF between August and November 2020 (11 weeks) were quantified. Storage continued until April 2021 when these materials, as well as the NS fertilizer and a mineral NKS fertilizer, were applied at a rate of 100 kg total N ha−1 to spring barley. N2O emissions and soil mineral N content were monitored during the growing season. Overall, CH4 emissions during storage were the main source of GHG emissions independent of treatments, accounting for 85 %, 40 % and 11 % of total GHG emissions (based on field application of 100 kg ha−1 total N) from treatments CA, DD and LF, respectively. Anaerobic digestion and separation significantly reduced CH4 emissions during storage due to the diminished content of degradable organic matter available for methanogens. The N2O emissions from treatments CA, DD, and LF during storage were not significantly different. Treatments DD and LF emitted more NH3 than CA during storage, presumably because of higher pH and ammonium content. In the field experiment, the dilute solution of NS emitted the most N2O, while emissions from treatments CA, DD and LF were comparable. Yield-scaled GHG emissions for treatments CA, DD, LF and NS during both periods of storage and field were 44.4, 17.1, 8.5 and 24.3 kg CO2 eq hkg−1 grain yield, respectively. Anaerobic digestion with or without separation were thus effective strategies for the mitigation of GHG emissions from cattle manure in this study. Yields and nitrogen use efficiencies of the processed manure materials were not significantly different from those observed with the same N application rate as inorganic fertilizer, and hence anaerobic digestion with or without separation were promising GHG mitigation strategies.

Much of the research focuses on quantification of greenhouse gas (GHG) emissions, which enables many sensors’ deployment and related applications to achieve site-specific GHG emissions management. Prior work on quantification of GHG emissions relies on costly and inconvenient to carry on site sensors to measure, which makes labor intensive and difficult to scale up. In this paper, we present a cost-effective, parts per million (PPM) sensing level, light-weight GHG proximity sensing system using a self-made gas sensing film (chemiresistive Strip) and radio array frequency techniques. Our system utilizes the implicit physical knowledge of capturing radar signal variations in amplitude through the adsorption of CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> by ZIF-67, in which the gas concentrations can be identified by these variations, and a smoothing filter is applied to filter out the disturbance in order to enhance the sensing resolution. We evaluated our sensing system and sensing algorithm on the data obtained from lab experiments. Results show that our sensing system achieves reliable sensing resolution from 410 and up to around 1500 PPM level in 50 seconds with fixed gas sensing film. In the future, we would combine other mobile sensing platforms to develop related applications that can be used to quantification of GHG emissions.

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.

China is a large agricultural country, where agricultural activities and rural life cause a large amount of greenhouse gas (GHG) emissions. In the process of crop growth, production, and processing, a large number of crop straws and agricultural wasted products are produced, which become one of the important sources of biomass resources. However, few detailed studies focused on the potential of China's agricultural biomass energy conversion and carbon emission reduction, and fewer studies proposed GHG emission reduction strategies from the perspective of making full use of China's agricultural waste resources. In this study, the quantity calculation index of agricultural biomass energy was given, and the GHG emission reduction potential calculation index of agricultural biomass energy was constructed, with which the amount of GHG emissions caused by agricultural waste use in China was measured and the potential of GHG emission reduction caused by agricultural waste use would be easily speculated. Based on the statistical data of China, the quantity and GHG emission reduction potential of agricultural biomass resources in China in the recent 10 years (2009∼2018) were clarified. According to the research, the amount of agricultural waste equivalent to standard coal in China from 2009 to 2018 reached 280,0711 million tons. If all these resources were used to replace coal, a total of 4,474,483 million tons of carbon dioxide emissions could be saved. Assuming that these wastes are anaerobic, carbonized, or fully burned as fuel, CH4 emissions could be reduced by up to 12.024 million tons and N2O emissions by up to 185,000 tons. It can be seen that the effective utilization of agricultural biomass resources can replace coal, reduce backwardness such as land burning, and then reduce CO2, CH4, N2O, and other greenhouse gas emissions, and promote the realization of carbon peak and carbon neutrality.

The topic of greenhouse gas emissions calculations in the context of freight transport is very current. This topic is very interesting for many stakeholders, such as companies, suppliers, employees, customers, residents, etc. The automotive industry is a major producer of greenhouse gas emissions from logistic processes. Due to this fact, it is necessary to search for and create frameworks for the calculation of greenhouse gas emissions in this sector. The requirements for the calculation of greenhouse gas emissions from road freight transport in the automotive industry were identified using semi-structured interviews. Available emission freight calculators were analyzed using the content and comparative analysis. The proposed frameworks for greenhouse gas emissions calculations in the context of road freight transport of material and finished manufactured passenger cars for the automotive industry were applied in the form of an interpretative case study. The main result of the article is the proposal of the frameworks for greenhouse gas (carbon and sulfur dioxide) emissions calculations in the context of road freight transport of the material and finished manufactured passenger cars for the automotive industry. The proposed frameworks were applied and verified. The use of the proposed frameworks can be expected in logistic planning and decision-making.

The factor required for estimating greenhouse gas emission, i.e. the fossil carbon fraction, excludes the biomass fraction of incinerated waste and can be applied as a major factor in estimating greenhouse gas emissions. In Korea, the amount of greenhouse gases emitted from waste incineration facilities is calculated by using a solid waste incinerated amount default values (biomass fraction, content of dry matter, etc.) provided by the Intergovernmental Panel on Climate Chang (IPCC). However, this method cannot reflect the characteristics of Korea. This method is likely to overestimate or underestimate the amount of greenhouse gas emissions. This study aims to investigate the difference in emissions between the actual values of the biomass content based on the exhaust gas standard and the IPCC defaults applied in the calculation of the national emissions. The comparative result indicates that the amount of greenhouse gas emissions calculated using the solid waste composition method is 70.71 tons CO2/day and using the flue gas analysis is 56.92 tons CO2/day. This verifies that the former method overestimates the amount of greenhouse gas emissions compared with the latter method. The difference is caused by applying both factors in estimating greenhouse gas emissions and the basic values provided in the IPCC guideline. In addition, although the IPCC reported 10% of biomass content, it is 41.06% as a result of actual analysis, and hence, it is considered that there will be a difference depending on the biomass content. Thus, to increase the reliability of the calculated greenhouse gas emissions, these should be estimated by considering national characteristics.

Introduction Rice is a staple food, an economic crop, and the second-highest source of greenhouse gas (GHG) emissions in the agricultural sector in Myanmar. To develop the rice sector in a sustainable way, this study aimed to determine the comparative GHG emissions between the two major sowing methods used in monsoon rice production. Methods Next, comparative GHG emissions analysis was done by using the Student t-test. This study first quantified GHG emissions from land preparation to straw burning by using emission factors for agricultural inputs and the formulation, default values, and scaling factors of a carbon footprint calculator customized for rice products (CF-Rice). Results Soil and water management was the largest contributor among the management practices in monsoon rice production and accounted for 64.8% of the total GHG emissions. At 4,479.5 kg CO2 eq. ha-1, GHG emissions from the broadcasting (BC) method were significantly higher than those from the transplanting (TP) method. Conclusion Therefore, the TP method is a better sowing technique than the BC method for reducing GHG emissions without reducing grain yield.

Allocation of GHG emissions in combined heat and power systems: a new proposal for considering inefficiencies of the system

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.

A comprehensive mathematical model was developed for this study to estimate on-site and off-site GHG emissions from wastewater treatment plants (WWTPs). The model was applied to three different hybrid WWTPs (S-WWTP, J-WWTP, and T-WWTP) including anaerobic, anoxic, and aerobic process, located in Seoul City, South Korea. Overall on-site and off-site GHG emissions from S-WWTP, J-WWTP, and T-WWTP were <TEX>$305,253kgCO_2e/d$</TEX>, <TEX>$282,682kgCO_2e/d$</TEX>, and <TEX>$117,942kgCO_2e/d$</TEX>, respectively. WWTP treating higher amounts of wastewater produced more on-site and off-site GHG emissions. On average, the percentage contribution of on-site and off-site emissions was 3.03% and 96.97%. The highest amount of on-site GHG emissions was generated from anoxic process and the primary on-site GHG was nitrous oxide (<TEX>$N_2O$</TEX>). Off-site GHG emissions related to electricity consumption for unit operation was much higher than that related to production of chemicals for on-site usage. Recovery and reuse of biogas significantly reduced the total GHG emissions from WWTPs. The results obtained from this study can provide basic knowledge to understand the source and amount of GHG emissions from WWTPs and strategies to establish lower GHG emitting WWTPs.

GHG evaluation and mitigation planning for low carbon city case study: Dan Sai Municipality