Focus on emission factors: a sensitivity analysis of ammonia emission modelling in the Netherlands

1998 ◽  
pp. 205-210 ◽  
Author(s):  
H. Leneman ◽  
D.A. Oudendag ◽  
K.W. van der Hoek ◽  
P.H.M. Janssen
Keyword(s):  
Sensitivity Analysis ◽  
The Netherlands ◽  
Emission Factors ◽  
Ammonia Emission ◽  
Emission Modelling

Focus on emission factors: a sensitivity analysis of ammonia emission modelling in the Netherlands

1998 ◽  
Vol 102 (1) ◽  
pp. 205-210 ◽  
Author(s):  
H. Leneman ◽  
D.A. Oudendag ◽  
K.W. Van der Hoek ◽  
P.H.M. Janssen
Keyword(s):  
Sensitivity Analysis ◽  
The Netherlands ◽  
Emission Factors ◽  
Ammonia Emission ◽  
Emission Modelling

scholarly journals Major Elements to Consider in Developing Ammonia Emission Factor at Municipal Solid Waste (MSW) Incinerators

2021 ◽  
Vol 13 (4) ◽  
pp. 2197
Author(s):  
Seongmin Kang ◽  
Joonyoung Roh ◽  
Eui-chan Jeon
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Emission Factor ◽  
Waste Incineration ◽  
Emission Factors ◽  
Major Elements ◽  
Ammonia Emission ◽  
Nh3 Emission ◽  
The Difference ◽  
The One

NH3 is one of the major substances contributing to the secondary generation of PM2.5; therefore, management is required. In Korea, the management of NH3 is insufficient, and the emission factor used by EPA is the same as the one used when calculating emissions. In particular, waste incineration facilities do not currently calculate NH3 emissions. In the case of combustion facilities, the main ammonia emission source is the De-NOx facility, and, in the case of a power plant with a De-NOx facility, NH3 emission is calculated. Therefore, in the case of a Municipal Solid Waste (MSW) incinerator with the same facility installed, it is necessary to calculate NH3 emissions. In this study, the necessity of developing NH3 emission factors for an MSW incinerator and calculating emission was analyzed. In addition, elements to be considered when developing emission factors were analyzed. The study found that the NH3 emission factors for each MSW incinerator technology were calculated as Stoker 0.010 NH3 kg/ton and Fluidized Beds 0.004 NH3 kg/ton, which was greater than the NH3 emission factor 0.003 NH3 kg/ton for the MSW incinerator presented in EMEP/EEA (2016). As a result, it was able to identify the need for the development of NH3 emission factors in MSW incinerators in Korea. In addition, the statistical analysis of the difference between the incineration technology of MSW and the NH3 emission factor by the De-NOx facility showed a difference in terms of both incineration technology and De-NOx facilities, indicating that they should be considered together when developing the emission factor. In addition to MSW, it is believed that it will be necessary to review the development of emission factors for waste at workplaces and incineration facilities of sewage sludge.

scholarly journals Ammonia emissions from a naturally and a mechanically ventilated broiler house in Brazil

2014 ◽  
Vol 18 (11) ◽  
pp. 1179-1185 ◽  
Author(s):  
Luciano B. Mendes ◽  
Ilda F. F. Tinoco ◽  
Nico W. M. Ogink ◽  
Keller S. O. Rocha ◽  
Jairo A. Osorio S. ◽  
...  
Keyword(s):  
Ventilation System ◽  
Stocking Density ◽  
Emission Factors ◽  
Ammonia Emission ◽  
Mechanically Ventilated ◽  
Nh3 Emission ◽  
Modeling Process ◽  
Tropical Conditions ◽  
Ventilation Rates ◽  
Broiler House

This study was conducted with the aim of monitoring NH3 emissions from a mechanically and a naturally ventilated broiler house (MVB and NVB, respectively) and calculate their ammonia emission factors (fNH3). Bird stocking density was 13.5 and 11.1 birds m-2 for the MVB and NVB, respectively. The marketing age was 43 days and bedding consisted of dried coffee husks in its first time of use. Ventilation rates were calculated with the metabolic carbon dioxide mass balance method. Values of fNH3 were 0.32 ± 0.10 and 0.27 ± 0.07 g bird-1 d-1 for the MVB and NVB, respectively, and are in agreement to what was presented in other studies performed under similar conditions. The fNH3 estimated on yearly basis was 58 g bird-place-1 year-1. It was concluded that the different types of ventilation system between the studied broiler barns did not significantly affect emissions in the modeling process. The results obtained help providing reliable methodology for the determination of a solid database on NH3 emission factors for tropical conditions that can be used for future inventories, when performed in a sufficient number of barns that is representative for the Brazilian scenario.

Evaluation of sampling strategies for estimating ammonia emission factors for pig fattening facilities

2015 ◽  
Vol 140 ◽  
pp. 79-90 ◽  
Author(s):  
Tim Ulens ◽  
Matthijs R.J. Daelman ◽  
Julio Mosquera ◽  
Sam Millet ◽  
Mark C.M. van Loosdrecht ◽  
...  
Keyword(s):  
Emission Factors ◽  
Ammonia Emission ◽  
Sampling Strategies

scholarly journals Analysis of Inputs Parameters Used to Estimate Enteric Methane Emission Factors Applying a Tier 2 Model: Case Study of Native Cattle in Senegal

2021 ◽  
Author(s):  
Séga Ndao
Keyword(s):  
Sensitivity Analysis ◽  
Methane Emission ◽  
Input Parameter ◽  
Emission Factors ◽  
Future Research ◽  
Tier 2 ◽  
Lactating Cows ◽  
Enteric Methane ◽  
Input Parameters ◽  
Native Cattle

In the context of the Paris Agreement, and considering the importance of methane emissions from cattle in West Africa, application of a Tier 2 method to estimate enteric methane emission factors is clearly pertinent. The current study has two purposes. Firstly, it aims to detect how much each input parameter contributes to the overall uncertainty of enteric methane emission factors for cattle. Secondly, it aims to identify which input parameters require additional research efforts for strengthening the evidence base, thus reducing the uncertainty of methane enteric emission factors. Uncertainty and sensitivity analysis methodologies were applied to input parameters in the calculation of enteric methane emission factors for lactating cows and adult male Senegalese native cattle using the IPCC Tier 2 model. The results show that the IPCC default input parameters, such as the coefficient for calculating net energy for maintenance (Cfi), digestible energy (DE) and the methane conversion rate (Ym) are the first, second and third most important input parameters, respectively, in terms of their contribution to uncertainty of the enteric methane emission factor. Sensitivity analysis demonstrated that future research in Senegal should prioritize the development of Ym, Cfi and DE in order to estimate enteric methane emission factors more accurately and to reduce the uncertainty of the national agricultural greenhouse gas inventory.

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