Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
Biomethanation of animal and fruit wastes is an environmental benign and cheap source of energy. However, biomethanation
has the problem of large hydraulic retention time and low gas production which has led to its underutilization. Therefore,
research is focused on biomethanation enhancement for efficient and high yield biomethane production. Laboratory scale
batch anaerobic digester was used to investigate the effects of operating variables [Total Solid Content (TSC), Temperature
(TEMP), Agitation (AGT) and Feed/Inoculum Ratio (FIR)] on biomethane generation from mixture of animal wastes (cattle
dung, pig dung and poultry droppings), co-substrates (orange, mango and pineapple wastes) and (chicken rumen). 5 different
slurries [Animal and Orange wastes with Inoculum (AOI); Animal and Mango wastes with Inoculum (AMI); Animal and
Pineapple wastes with Inoculum (API); Animal and the three fruits wastes with Inoculum (AOMPI) and Animal wastes (A)]
were charged into the digester. The process were carried out for 70 days at these conditions TSC (2- 10%), TEMP (25 -60Ă?ÂșC),
AGT (35- 70 rpm) and FIR (1:1, 1:2, 1:3, 2:1 and 3:1). Biomethane produced was collected continuously into a gas bag and
analysed using Gas Chromatography. One-Factor-at-A-Time was used to select TEMP, TSC and FIR for Central Composite
Design of experiment to obtain optimal conditions that maximise the yield of biogas (Y1), biomethane content (Y2) and
minimise the hydraulic retention time (Y3). Kinetic parameters of the process were estimated. Maximum yield (%) were
obtained in API having the range 43.5 - 65.5; 65.5 - 69.5 and 50.1- 66.8 for TSC, FIR and TEMP, respectively. Maximum of
7.2 kg (Y1), 71.54 % (Y2) and 8 days (Y3) were obtained at optimum conditions TEMP (55.2Ă?ÂșC), TSC (6.25 %) and FIR (1:2).
MG model best fitted the experimental data. Use of pineapple waste as a co-substrate is more productive in biomethanation.
Operating variables enhanced biomethanation.
Biography
Relevant Topics
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals