scholarly journals BIOLEACH: A New Decision Support Model for the Real-Time Management of Municipal Solid Waste Bioreactor Landfills

2020 ◽  
Vol 17 (5) ◽  
pp. 1675 ◽  
Author(s):  
Javier Rodrigo-Ilarri ◽  
María-Elena Rodrigo-Clavero ◽  
Eduardo Cassiraga
Keyword(s):  
Organic Matter ◽  
Decision Support ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Real Time ◽  
Time Management ◽  
Biogas Production ◽  
Bioreactor Landfills ◽  
Decision Support Model ◽  
The Real

This paper introduces BIOLEACH, a new decision support model for the real-time management of municipal solid waste bioreactor landfills that allows estimating the leachate and biogas production. Leachate production is estimated using an adaptation of the water balance equation which considers every hydrological component and the water consumed by anaerobic organic matter degradation to create biogas and the leachate recirculation flows pumped from the landfill pond under a bioreactor management scheme. Landfill gas production is estimated considering the leachate formation process as a coupled effect through the production or consumption of water. BIOLEACH uses waste production and climate data at monthly scale and computes leachate production accounting for the actual conditions inside the waste mass. Biogas production is computed simultaneously, considering the available water to adjust the chemical organic matter biodegradation. BIOLEACH is a valuable bioreactor managing tool as it allows calculating the recirculation volume of leachate that ensures optimal moisture conditions inside the waste mass and therefore maximizing biogas production. As an illustrative example of a BIOLEACH application, the model has been applied to a real landfill located in Murcia Region (Spain) showing the economic and environmental benefits derived from leachate superficial recirculation.

A GIS-based multi-criteria decision support model for planning municipal solid waste collection points: A case study of Çağdaş Neighbourhood, Çiğli District, Izmir, Turkey

2021 ◽  
pp. 0734242X2110637
Author(s):  
Sedat Yalcinkaya ◽  
Sevin Uzer
Keyword(s):  
Decision Support ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Pollutant Emissions ◽  
Walking Distance ◽  
Waste Collection ◽  
Collection System ◽  
Decision Support Model ◽  
Support Model

This study aims to develop a geographic information system (GIS)-based multi-criteria decision support model to create optimal plans for locating municipal solid waste (MSW) collection points. The model performs a series of consecutive GIS-based spatial analyses to determine alternative plans. Then, it weighs the alternatives considering the social, economic and environmental criteria to determine the optimum solution through analytical hierarchy process. The model was implemented as a case study in Çağdaş neighbourhood of Izmir, Turkey. A total of 42 locations were determined as the optimum collection points out of 245 possible collection points, which yields 39% reduction in collection points compared to the existing system. Total number of waste bins and average walking distance to waste collection points were calculated as 129 and 33 m, respectively. The municipal authority would spend 48.79 $ day−1 on fuel for waste collection and transport. In addition, daily air pollutant emissions generated during the operations were estimated as 2.052 g CO, 0.231 g NMVOC, 8.409 g NOx, 0.954 g N2O, 0.260 g NH3, 0.000227 g Pb and 0.0231 g PM 2.5. The results indicated that 14 out of 69 collection points in the existing collection system were not allocated to any waste source geographically. This study presents a unique method for planning MSW collection points on two key aspects: (1) development of a novel method to determine all possible collection point locations using Thiessen polygons and (2) presenting a holistic planning method considering the impacts of the collection system on the waste generators and waste collectors.

Effect of Aeration on Fresh and Aged Municipal Solid Waste in a Simulated Landfill Bioreactor

2004 ◽  
Vol 39 (3) ◽  
pp. 223-229 ◽  
Author(s):  
Mostafa A. Warith ◽  
Graham J. Takata
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Ammonia Concentration ◽  
Air Injection ◽  
Bioreactor Landfills ◽  
Time To Stabilization ◽  
High Ammonia ◽  
Simulated Landfill ◽  
Term Monitoring

Abstract Municipal solid waste (MSW) is slow to stabilize under conventional anaerobic landfill conditions, demanding long-term monitoring and pollution control. Provision of aerobic conditions offers several advantages including accelerated leachate stabilization, increased landfill airspace recovery and a reduction in greenhouse gas emissions. Air injection was applied over 130 days to bench-scale bioreactors containing fresh and aged MSW representative of newly constructed and pre-existing landfill conditions. In the fresh MSW simulation bioreactors, aeration reduced the average time to stabilization of leachate pH by 46 days, TSS by 42 days, TDS by 84 days, BOD5 by 46 days and COD by 32 days. In addition, final leachate concentrations were consistently lower in aerated test cells. There was no indication of a gradual decrease in the concentration of ammonia, and it is likely this high ammonia concentration would continue to be problematic in bioreactor landfill applications. This study focussed only on biodegradability of organics in the solid waste. The concentrations of the nonreactive or conservative substances such as chloride and/or heavy metals remain in the bioreactor landfills due to the continuous recirculation of leachate. The results of this study demonstrate the potential for air injection to accelerate stabilization of municipal solid waste, with greatest influence on fresh waste with a high biodegradable organic fraction.

scholarly journals Process modeling of municipal solid waste compost ash for reactive red 198 dye adsorption from wastewater using data driven approaches

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mohammad Hadi Dehghani ◽  
Mehdi Salari ◽  
Rama Rao Karri ◽  
Farshad Hamidi ◽  
Roghayeh Bahadori
Keyword(s):  
Organic Matter ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Adsorption Process ◽  
Operating Time ◽  
Organic Matter Content ◽  
Order Kinetic ◽  
Box Behnken Design ◽  
Reactive Red 198 ◽  
Msw Compost

AbstractIn the present study, reactive red 198 (RR198) dye removal from aqueous solutions by adsorption using municipal solid waste (MSW) compost ash was investigated in batch mode. SEM, XRF, XRD, and BET/BJH analyses were used to characterize MSW compost ash. CNHS and organic matter content analyses showed a low percentage of carbon and organic matter to be incorporated in MSW compost ash. The design of adsorption experiments was performed by Box–Behnken design (BBD), and process variables were modeled and optimized using Box–Behnken design-response surface methodology (BBD-RSM) and genetic algorithm-artificial neural network (GA-ANN). BBD-RSM approach disclosed that a quadratic polynomial model fitted well to the experimental data (F-value = 94.596 and R2 = 0.9436), and ANN suggested a three-layer model with test-R2 = 0.9832, the structure of 4-8-1, and learning algorithm type of Levenberg–Marquardt backpropagation. The same optimization results were suggested by BBD-RSM and GA-ANN approaches so that the optimum conditions for RR198 absorption was observed at pH = 3, operating time = 80 min, RR198 = 20 mg L−1 and MSW compost ash dosage = 2 g L−1. The adsorption behavior was appropriately described by Freundlich isotherm, pseudo-second-order kinetic model. Further, the data were found to be better described with the nonlinear when compared to the linear form of these equations. Also, the thermodynamic study revealed the spontaneous and exothermic nature of the adsorption process. In relation to the reuse, a 12.1% reduction in the adsorption efficiency was seen after five successive cycles. The present study showed that MSW compost ash as an economical, reusable, and efficient adsorbent would be desirable for application in the adsorption process to dye wastewater treatment, and both BBD-RSM and GA-ANN approaches are highly potential methods in adsorption modeling and optimization study of the adsorption process. The present work also provides preliminary information, which is helpful for developing the adsorption process on an industrial scale.

Achieving “Final Storage Quality” of municipal solid waste in pilot scale bioreactor landfills

2009 ◽  
Vol 29 (1) ◽  
pp. 78-85 ◽  
Author(s):  
R. Valencia ◽  
W. van der Zon ◽  
H. Woelders ◽  
H.J. Lubberding ◽  
H.J. Gijzen
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Pilot Scale ◽  
Bioreactor Landfills ◽  
Storage Quality

scholarly journals Effect of aeration on fresh and aged municipal solid waste

2021 ◽  
Author(s):  
Graham Jon Takata
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Pollution Control ◽  
Bioreactor Landfills ◽  
Anaerobic Conditions ◽  
Waste Stabilization ◽  
Time To Stabilization ◽  
Aerobic Bioreactors ◽  
Term Monitoring

Under the anaerobic conditions of conventional sanitary landfill, entombed municipal solid waste (MSW) is slow to stabilize necessitating long-term monitoring and pollution control. Although anaerobic conditions can provide revenue through energy generation, aerobic stabilization may offer several advantages including reduced fugitive greenhouse gas emissions, accelerated landfill stabilization, and increased landfill airspace recovery. Air injection was applied to bench-scale bioreactor landfills in order to determine the potential for active aeration to accelerate municipal solid waste stabilization and settlement in both new and pre-existing landfills. Fresh and aged wastes were used to represent newly constructed and existing landfill matrices over 130 days. In the fresh MSW bioreactors, aeration reduced the time to stabilization of leachate pH by 44%, TSS by 25%, TDS by 54%, BOD5 by 38% and COD by 59%. Ammonia concentrations stabilized after 129 days of aeration, but remained problematic in the anaerobic bioreactors at the study conclusion. Final leachate concentrations were consistently lower in the aerobic bioreactors than in their anaerobic counterparts. Physical settlement also improved, resulting in a 21.5% recovery of landfill airspace in the aerobic fresh waste bioreactors. Aeration had a similar but reduced influence in the aged waste bioreactors since they were near stabilization at the study inception. The results of this study indicate that aeration significantly accelerates stabilization of MSW with greatest influence on fresh waste with a high biodegradable organic fraction.

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