EQUATION MODEL FOR MUNICIPAL SOLID WASTE COLLECTION AND TRANSPORTATION IN MANADO CITY

2017 ◽  
Vol 13 (40) ◽  
Author(s):  
Teddy Takaendengan
Author(s):  
Zulfa Hanan Ash’aari ◽  
Firuz Muhammad Ramli ◽  
Amir Hamzah Sharaai ◽  
Muhammad Nawaz Chaudhry ◽  
Samra Fatima

Recycling ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Alessio Quintili ◽  
Beatrice Castellani

Municipal solid waste collection and transport are functional activities in waste management, with a significant energy and carbon footprint and a significant effect on the urban environment. An issue related to municipal solid waste collection and transport is their regional and municipal implementation, affected by sorting and recycling strategies at local level. An efficient collection is necessary to optimize the whole recycling process. The present paper shows the results of an energy, environmental, and economic evaluation of a case study, analyzing the fleet used for municipal solid waste collection and transport in 10 municipalities in Central Italy. The current scenario was compared with alternative scenarios on the basis of some parameters for performance evaluation: vehicles’ energy consumption, carbon footprint, routes, and costs. Results show that for passenger cars, the alternative scenario based on an entire fleet of dual compressed natural gas (CNG) vehicles led to a reduction of the CO2 emissions (−2675 kgCO2eq) in the analyzed period (January–August 2019) and a reduction of the energy consumption (−1.96 MJ km−1). An entire fleet of CNG vehicles led to an increase of CO2 emissions: +0.02 kgCO2eqkgwaste−1 (+110%) for compactors (35–75 q) and +0.09 kgCO2eqkgwaste−1 (+377%) for compactors (80–180 q). Moreover, both categories report a higher fuel consumption and specific energy consumption. For waste transport high-capacity vehicles, we propose the installation of a Stop-Start System, which leads to environmental and energy benefits (a saving of 38,332 kgCO2eq and 8.8 × 10−7 MJ km−1kgwaste−1). On three-wheeler vehicles, the installation of the Stop-Start System is completely disadvantageous.


2017 ◽  
Vol 36 (2) ◽  
pp. 131-139 ◽  
Author(s):  
Nafiz E Korkut ◽  
Cevat Yaman ◽  
Yusuf Küçükağa ◽  
Megan K Jaunich ◽  
İbrahim Demir

This article estimates greenhouse gas emissions and global warming factors resulting from collection of municipal solid waste to the transfer stations or landfills in Istanbul for the year of 2015. The aim of this study is to quantify and compare diesel fuel consumption and estimate the greenhouse gas emissions and global warming factors associated with municipal solid waste collection of the 39 districts of Istanbul. Each district’s greenhouse gas emissions resulting from the provision and combustion of diesel fuel was estimated by considering the number of collection trips and distances to municipal solid waste facilities. The estimated greenhouse gases and global warming factors for the districts varied from 61.2 to 2759.1 t CO2-eq and from 4.60 to 15.20 kg CO2-eq t-1, respectively. The total greenhouse gas emission was estimated as 46.4E3 t CO2-eq. Lastly, the collection data from the districts was used to parameterise a collection model that can be used to estimate fuel consumption associated with municipal solid waste collection. This mechanistic model can then be used to predict future fuel consumption and greenhouse gas emissions associated with municipal solid waste collection based on projected population, waste generation, and distance to transfer stations and landfills. The greenhouse gas emissions can be reduced by decreasing the trip numbers and trip distances, building more transfer stations around the city, and making sure that the collection trucks are full in each trip.


2020 ◽  
Vol 46 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Alhassan Sulemana ◽  
Emmanuel A. Donkor ◽  
Sampson Oduro-Kwarteng

For purposes of establishing a benchmark against which performance of municipal solid waste (MSW) collection systems can be evaluated by sector regulators, investors and managers, this study assessed the cost efficiency of MSW collection systems in Ghana, using stochastic frontier analysis (SFA). Data from seventy municipal solid waste collection systems were used to estimate the parameters of a Cobb-Douglas cost function. The study developed a cost function, estimated the parameters using maximum likelihood, and applied SFA to determine the efficiencies. Four variables (quantity of waste collected, distance travelled, fuel consumed and number of trips) which affect operating cost were used to estimate the efficiency. Results from the analysis showed that the cost efficiencies ranged from 59.82% to 93.23%, with a mean value of 84.16% and, that fuel consumed was the significant cost driver at the 5% significant level. Efficiencies for Municipal Assemblies ranged from 71.80% to 90.77%, with a mean value of 84.26% while District Assemblies recorded 59.82% to 93.23%, with a mean value of 83.79%. There was no significant difference in the mean relative efficiency estimates of the District and Municipal Assemblies. The findings establish a benchmark and methodology, essential for industrial players in performance evaluation. The study also serves as a resource material for further study in performance evaluation of solid waste collection systems, particularly in developing economies.


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