Literature DB >> 26690051

Simulating the heat budget for waste as it is placed within a landfill operating in a northern climate.

Dina Megalla1, Paul J Van Geel2, James T Doyle1.   

Abstract

A landfill gas to energy (LFGTE) facility in Ste. Sophie, Quebec was instrumented with sensors which measure temperature, oxygen, moisture content, settlement, total earth pressure, electrical conductivity and mounding of leachate. These parameters were monitored during the operating phase of the landfill in order to better understand the biodegradation and waste stabilization processes occurring within a LFGTE facility. Conceptual and numerical models were created to describe the heat transfer processes which occur within five waste lifts placed over a two-year period. A finite element model was created to simulate the temperatures within the waste and estimate the heat budget over a four and a half year period. The calibrated model was able to simulate the temperatures measured to date within the instrumented waste profile at the site. The model was used to evaluate the overall heat budget for the waste profile. The model simulations and heat budget provide a better understanding of the heat transfer processes occurring within the landfill and the relative impact of the various heat source/sink and storage terms. Aerobic biodegradation appears to play an important role in the overall heat budget at this site generating 36% of the total heat generated within the waste profile during the waste placement stages of landfill operations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Heat transfer; Landfill; Model; Temperature; Waste; Waste-to-energy

Mesh:

Year:  2015        PMID: 26690051     DOI: 10.1016/j.wasman.2015.11.049

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Simulation of heat transfer in a landfill with layered new and old municipal solid waste.

Authors:  Tao Zhang; Jianyong Shi; Xun Wu; Shi Shu; Hai Lin
Journal:  Sci Rep       Date:  2022-02-22       Impact factor: 4.379

  1 in total

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