Modelling and optimization of a pyrolysis plant using swine and goat manure as feedstock
Sourav Poddar and
J. Sarat Chandra Babu
Renewable Energy, 2021, vol. 175, issue C, 253-269
Abstract:
Worldwide, waste, a biomass, has the potential for solving future problems related to fossil fuel depletion and environmental problems. Waste conversion or extraction of values from waste can proceed in various ways. In recent times, various thermochemical and biological methodologies have been applied. Amongst all the thermochemical processes, pyrolysis is gaining importance because it can be conducted according to the coveted result. The recent investigation uses swine manure and goat manure as a waste resource. The recent investigation involves the simulation of the pyrolysis plant using the Aspen Plus® process simulation software. It can be inferred that the simulated results are incomparable range with the experimental results for the lab-scale. Then with the same designed model, feed rates of 1 ton/day (TPD), 2tons/day (TPD), and 3 tons/day (TPD) manure were utilized to obtain the production of pyro-products for pilot-plant-scale. The parametric sensitivity and optimization of the simulated model have been conducted using Design Expert®. It is observed that the minimum pyro-char production, maximum pyro-oil, and pyro-gas production is obtained at 0.679232 tons/day and 0.790000 tons/day for swine and goat manure, respectively, when the manure flowrates are 2.000000 tons/day at temperature 800 K for both the manures respectively.
Keywords: Aspen Plus®; Biomass; Pyrolysis; Swine and goat manure; Optimization (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148121006406
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:175:y:2021:i:c:p:253-269
DOI: 10.1016/j.renene.2021.04.120
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().