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    <subfield code="a">Enhanced biogas production from anaerobic co-digestion of palm oil mill effluent using solar-assisted bioreactor /</subfield>
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    <subfield code="c">&#xA9; 2020</subfield>
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    <subfield code="a">xiii, 146 pages :</subfield>
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    <subfield code="a">Faculty of Civil Engineering Technology</subfield>
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    <subfield code="a">Anaerobic co-digestion (ACoD), a sustainable green technology, presents an outstanding  opportunity for energy conversion and environmental pollution control. It has become a  core method  of  treating organic wastes on account of its  environmental and  economic  benefits  of  energy  production.  Prolonged  start-up  period,  slow  reactions,  and  methanogenesis are highly inhibited in the ACoD process which prevents enhancement  in energy production. Instead, oxidization by hydrogen peroxide (OHP) had  substantial  impacts on biological  break down and enhancing biogas production by ACoD methods. Again,  lack  of  nitrogenous  substrate  and  buffering  potential  has  been  known  as  an  obstruction  for  the treatment of  POME  in  the ACoD process.  The key objective of this  study  was to investigate the potential of the  ACoD  for  palm oil mill effluent  (POME)  treatment  with  cattle  manure  (CM)  in  a  solar-assisted  bioreactor  (SABr)  to  produce  enhanced biogas.  Finally, this study developed the artificial neural network (ANN) model  which is an appropriate and uncomplicated modeling approach for ACoD applications to  predict the outcomes of biogas production using experimental data. Standard  American  Public Health Association (APHA)  methods analyzed the characterization of the samples.  The  solar  panel  first  converted  solar  radiation  into  electricity,  which  warmed  up  the  POME  and  CM  mixture  to  maintain  the  required  reactor  temperature  (35&#xB0;C).  The  produced energy was analyzed at 0:100, 25:75, 50:50, 75:25, and 100:0 mixing ratios of  POME and CM.  The total biogas amount was collected in a gas bag and biogas volume  was measured by the water displacement method. The mixture with equal proportions of  POME and CM produced the maximum amount  of biogas, i.e., 1567.00 mL, while the  methane content was 64.13%.  The effect of OHP at 1.00% dose with 1  mM FeCl3  addition  for Fenton reaction on the POME at 30 min exposure on chemical oxygen demand (COD)  and total organic carbon (TOC) removal was 33.80% and 28.31%. The improvement of  biodegradable dissolved  organic carbon (BDOC) was 59% more for POME at 1.00%  OHP doses and thus, BOD/COD was also enhanced  up  to  0.72 for POME. Biogas and  biomethane production can be enhanced  up  to  46.00% and 64.83% if treated by 1.00%  OHP doses. The methane composition is also enhanced up to 72.4% compared to control which was 64.13%. Biogas yield was indicated as the consequence of NH4+ toxicity. To  regulate the toxicity impact of the ammonium bicarbonate on the ACoD system, a cycle of dosing  from  10 to 40 mg/L  was supplemented.  The cumulative biogas  production of  2034.00 mL was  found  with the addition of 10 mg/L ammonium bicarbonate and  29.80% more which are higher than that of the control  ACoD operation.  In ANN, the proposed  multi-layered feed-forward neural network model could predict the outcomes of biogas  production from the ACoD  process with a mean squared error for  validation of  0.0562 and  an R-value for validation of  0.97733. The approach was found to be effective, flexible  and versatile in coping with the non-linear relationships using available information. The  economic  impact  of  constructing  a  biogas  plant  has  been  successfully  analyzed  and  predicted as well. The proposed biogas plant seems to be economically feasible because  an approximately  3-year payback period, internal rate of return of 23.62% and benefitcost ratio of 1.34  on investment  could  be achieved if this technology is used on a large  scale. So, overall this study may help in minimizing the adverse environmental effects of  POME by ACoD treatment in the future and demonstrated that a complete solution to the  application  of  SABr  in  the  integration  of  different  features  for  enhanced  biogas  production.</subfield>
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