Design, Fabrication and Energy Potential Assessment Of Small Scale Anaerobic Digester For Biogas Production

The efficiency of biogas production in semi-continuous anaerobic digester is influenced by several factors, among other is loading rate. This research aimed at determining the effect of hydraulic retention time (HRT) on the biogas yield. Experiment was conducted using lab scale self-designed anaerobic digester of 36-L capacity with substrate of a mixture of fresh cow dung and water at a ratio of 1:1. Experiment was run with substrate initial amount of 25 L and five treatment variations of HRT, namely 1.31 gVS/L/d (P1), 2.47 gVS/L/d (P2), 3.82 gVS/L/d (P3), 5.35 gVS/L/d (P4) and 6.67 gVS/L/d (P5). Digester performance including pH, temperature, and biogas yield was measured every day. After stable condition was achieved, biogas composition was analyzed using a gas chromatograph. A 10-day moving average analysis of biogas production was performed to compare biogas yield of each treatment. Results showed that digesters run quite well with average pH of 6.8-7.0 and average daily temperature 28.7-29.1. The best biogas productivity (77.32 L/kg VSremoval) was found in P1 treatment (organic loading rate of 1.31 g/L/d) with biogas yield of 7.23 L/d. With methane content of 57.23% treatment P1 also produce the highest methane yield. Biogas production showed a stable rate after the day of 44. Modified Gompertz kinetic equation is suitable to model daily biogas yield as a function of digestion time.Article History: Received March 24th 2018; Received in revised form June 2nd 2018; Accepted June 16th 2018; Available onlineHow to Cite This Article: Haryanto, A., Triyono, S., and Wicaksono, N.H. (2018) Effect of Loading Rate on Biogas Production from Cow Dung in A Semi Continuous Anaerobic Digester. Int. Journal of Renewable Energy Development, 7(2), 93-100.https://doi.org/10.14710/ijred.7.2.93-100

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Biogas Production from Poultry Wastewater using Anaerobic Digester

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1027.1292s219 ◽

2019 ◽

Vol 9 (2S2) ◽

pp. 110-114

Keyword(s):

Substrate Concentration ◽

Biogas Production ◽

Morphological Structure ◽

Sem Analysis ◽

Anaerobic Digester ◽

Poultry Waste ◽

Displacement Method ◽

Water Displacement ◽

Kinetics Studies ◽

Poultry Wastewater

Experimental work was carried out for the production of Biogas from poultry waste water. The Poultry waste was collected from farm near Nagercoil at Kanyakumari District. Batch anaerobic digester was designed for 20L capacity. The experiment was carried out for 36 days to monitor the performance. Various parameters like pH, TS, COD have checked for every 24hours. The Production of biogas was measured by water displacement method. The methane content was analyzed by gas chromatography test. Based on the experimental data, kinetics studies have done for various models like Line Weaver-Burk method, Eadie-Hofstee method, Hanes-Woolf method. The Eadie-Hofstee Method has provided better prediction than other method. These results thus indicate that, Eadie-Hofstee Method is best to identify the growth rate, substrate concentration and Limiting Substrate Concentration of the system. The sludge of the poultry wastewater and digester were characterized by SEM analysis. The imaging was done to determine the morphological structure of the sludge and to view the bacterial growth on the surface of the sludge.

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Wind Power potential in Kigali and Western provinces of Rwanda

Asia Pacific Journal of Energy and Environment ◽

10.18034/apjee.v2i1.221 ◽

2015 ◽

Vol 2 (1) ◽

pp. 25-36

Author(s):

Otieno Fredrick Onyango ◽

Sibomana Gaston ◽

Elie Kabende ◽

Felix Nkunda ◽

Jared Hera Ndeda

Keyword(s):

Wind Speed ◽

Probability Density ◽

Wind Power ◽

Wind Direction ◽

Small Scale ◽

Energy Potential ◽

Wind Speeds ◽

Mean Wind Speed ◽

Wind Energy Potential ◽

Low Wind Speeds

Wind speed and wind direction are the most important characteristics for assessing wind energy potential of a location using suitable probability density functions. In this investigation, a hybrid-Weibull probability density function was used to analyze data from Kigali, Gisenyi, and Kamembe stations. Kigali is located in the Eastern side of Rwanda while Gisenyi and Kamembe are to the West. On-site hourly wind speed and wind direction data for the year 2007 were analyzed using Matlab programmes. The annual mean wind speed for Kigali, Gisenyi, and Kamembe sites were determined as 2.36m/s, 2.95m/s and 2.97m/s respectively, while corresponding dominant wind directions for the stations were , and respectively. The annual wind power density of Kigali was found to be while the power densities for Gisenyi and Kamembe were determined as and . It is clear, the investigated regions are dominated by low wind speeds thus are suitable for small-scale wind power generation especially at Kamembe site.

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VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xliv-4-w1-2020-71-2020 ◽

2020 ◽

Vol XLIV-4/W1-2020 ◽

pp. 71-74

Author(s):

A. Koukofikis ◽

V. Coors

Keyword(s):

Wind Energy ◽

Visual Analytics ◽

Vertical Axis ◽

Urban Environments ◽

Small Scale ◽

High Wind ◽

Energy Potential ◽

Web Architecture ◽

Wind Energy Potential ◽

Ogc Standards

Abstract. We propose a server-client web architecture identifying areas with high wind energy potential by employing 3D technologies and OGC standards. The assessment of a whole city or sub-regions will be supported by integrating Computational Fluid Dynamics (CFD) with historical wind sensor readings. The results, in 3D space, of such analysis could be used for locating installation points of small-scale vertical axis wind turbines in an urban area.

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