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RISS 인기검색어
- 검색키워드
- 저자 : Sudiarto Sartika I. A. (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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FEBRISIANTOSAANDI,최홍림,Renggaman Anriansyah,Sudiarto Sartika I. A.,Lee Joonhee 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.7
Objective: The present study aimed to evaluate the performance of odor abatement by using two different ventilation-biofilter systems with recycled stablized swine wastewater. Methods: The performance of odor removal efficiency was evaluated using two different ventilation-biofilter-recycled wastewater arrangements. A recirculating air-flow ventilation system connected to a vertical biofilter (M1) and a plug-flow ventilation system connected to a horizontal biofilter (M2) were installed. Water dripping over the surface of the biofilter was recycled at a flow rate of 0.83 L/h in summer and 0.58 L/h in winter to reduce odorous compounds and particulate matter (PM). The experiments were performed for 64 days with M1 and M2 to investigate how these two ventilation-biofilter systems influenced the reduction of odor compounds in the model houses. Odorous compounds, NH3 and volatile organic compounds (VOCs) were analyzed, and microclimatic variables such as temperature, humidity, and PM were monitored. Results: Ammonia concentration inside M1 was about 41% higher on average than that in M2. PM and total suspended particles (TSPs) inside M1 were about 62.2% and 69.9%, respectively, higher than those in M2. TSPs in the model house were positively correlated with the concentration of NH3 and VOCs. Conclusion: M2 emitted lower concentration of odorous compounds than M1. Moreover, M2 could maintain the optimum temperature condition for a swine house during the cooler season. The plug-flow ventilation–horizontal biofilter system could be used for pig houses to minimize air pollution produced by swine farming activities and maintain optimum microclimate conditions for pigs.
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Prediction of livestock manure and mixture higher heating value based on fundamental analysis
Choi, Hong L.,Sudiarto, Sartika I.A.,Renggaman, Anriansyah Elsevier 2014 Fuel Vol.116 No.-
<P><B>Abstract</B></P> <P>The ongoing availability of livestock waste presents an opportunity for its utilization as renewable energy resource through biological or thermochemical conversion. However, the conversion efficiency and the potential energy content of livestock waste needs to be estimated in order to design such a renewable energy production system. To address this, eight types of livestock waste were collected from each of 12 commercial farms from April to May 2009. The higher heating value (HHV), which represents the actual energy content, along with characteristics of livestock waste was determined. Moreover, equations for estimating HHV from proximate, ultimate, and chemical analysis were established by regression analysis. The developed equations were then validated using additional livestock waste data. The HHV of livestock waste was found to be in the range from 11.92 to 19.44MJ/kg dry matter. The equation, HHV=0.1970VM+0.3955 represents the best-fit equations derived from proximate analysis with an Average absolute error (AAE) value of 9.17%. The equation, HHV=0.1865CH+0.2671PR+0.2141F −0.2151 is best-fit equation derived from chemical analysis with an AAE value of 5.31%. The equation derived in this study, HHV=0.3198C+0.0803O+0.4704N −1.4502S+0.9364, was compared with ten recently published correlations based on ultimate analysis and showed better accuracy by having the lowest AAE values of 8.57%. All developed equations can be used to estimate HHV of various livestock waste with the exception of swine manure. The main reason for this limitation arises from the unique characteristics of pig manure in comparison to other livestock waste found in this study.</P> <P><B>Highlights</B></P> <P> <UL> <LI> HHV and characteristics of various livestock manure and mixture were determined. </LI> <LI> HHV correlations with livestock manures and mixtures characteristics were examined. </LI> <LI> Lower AAE value was obtained when pig manure excluded from equations database. </LI> <LI> Proposed equations give better accuracy than previous published equations. </LI> </UL> </P>
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