Hybrid wind-municipal solid waste biomass power plant location selection considering waste collection problem: a case study

2021 ◽  
pp. 1-21
Author(s):  
Pedram Memari ◽  
Fatemeh Navazi ◽  
Fariborz Jolai
Keyword(s):  
Power Plant ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Plant Location ◽  
Waste Biomass ◽  
Waste Collection ◽  
Location Selection ◽  
Biomass Power Plant

scholarly journals The Energy and Carbon Footprint of an Urban Waste Collection Fleet: A Case Study in Central Italy

Recycling ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Alessio Quintili ◽  
Beatrice Castellani
Keyword(s):  
Energy Consumption ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Local Level ◽  
Central Italy ◽  
Waste Collection ◽  
Solid Waste Collection

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.

Subregion Districting to Optimize the Municipal Solid Waste Collection Network: A Case Study

2018 ◽  
pp. 225-237
Author(s):  
Israel D. Herrera-Granda ◽  
Juan C. León-Jácome ◽  
Leandro L. Lorente-Leyva ◽  
Fausto Lucano-Chávez ◽  
Yakcleem Montero-Santos ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Collection ◽  
Solid Waste Collection

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.

scholarly journals Design of a Municipal Solid Waste Collection System in Situations with a Lack of Resources: Nikki (Benin), a Case in Africa

2021 ◽  
Vol 13 (4) ◽  
pp. 1785
Author(s):  
Mar Carlos-Alberola ◽  
Antonio Gallardo Izquierdo ◽  
Francisco J. Colomer-Mendoza ◽  
Esther Barreda-Albert
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Low Income ◽  
Management Practices ◽  
Waste Collection ◽  
Collection System ◽  
Solid Waste Collection ◽  
Waste Management Practices ◽  
The Town

Waste collection is one of the most important public services in a town. However, waste collection has not been effectively implemented in some places due to the lack of economic and management resources. The waste is placed in inappropriate sites with the consequent risks of pollution and unhealthy conditions for the inhabitants. Therefore, establishing a municipal solid waste collection plan can be complicated. The methodologies and techniques that work in countries with medium and high income levels cannot be extrapolated to others with low income level because the boundary conditions are widely different. The aim of this paper is to design a municipal solid waste collection system adapted to this type of situation where not much money can be invested and where data are limited. In these cases, municipalities need to use their existing resources effectively. This paper offers a methodology for these cases as well as a case study. The first step was to gather information about the type and amount of waste generated and the characteristics of the town. The second step was to propose the location of the bins and, finally, the waste collection routes. With all these data, the technical and human resources were set. The methodology used was validated in a real case, the town of Nikki (Benin) in Africa. The collection of three waste fractions was designed with the actual resources of the city in order to offer a realistic implementation. Similar situations can be found around the world, and this case study can be used as an example to improve the waste management practices in some places with low resources.

A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study

2019 ◽  
Vol 38 (3) ◽  
pp. 279-290 ◽  
Author(s):  
Seyed Zeinab Aliahmadi ◽  
Farnaz Barzinpour ◽  
Mir Saman Pishvaee
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fuzzy Optimization ◽  
Optimization Approach ◽  
Waste Collection ◽  
Collection Process ◽  
Proposed Model ◽  
Intermediate Facilities

In many countries, municipal solid waste management is considered a very important challenge, and the most relevant costs in this field are dedicated to the collection process. Therefore, this study aimed to propose a mathematical model with multiple depots and multiple intermediate facilities to minimize fixed and variable costs of waste collection. Intermediate facilities are used in the developed countries in their waste collection network, because these facilities reduce the long-term costs of waste management and increase the quality of the waste collection process. Also, in reality, the amount of waste generated per day is not deterministic, so, to cope with the issue of uncertainty in the amount of waste, a fuzzy optimization approach was considered. Furthermore, a system where vehicles that could collect the wastes in multiple tours, with a maximum number of tours for each vehicle, was also considered. Due to the high complexity of this model, a genetic algorithm was elaborated. Further, the efficiency of the proposed algorithm was confirmed by comparison with the exact solution in small dimensions. It should be noted that the initial solution of this algorithm was obtained by a proposed heuristic algorithm. Finally, a case study on the vehicle routing of municipal solid waste was conducted in a district of Tehran, Iran. Moreover, the solutions of the model were validated by comparing the results of the proposed model and the current real-life situation. The contractors could improve vehicle routes and reduce costs by implementing the results of the proposed model, without any additional cost.

scholarly journals Influence of the Municipal Solid Waste Collection System on the Time Spent at a Collection Point: A Case Study

2019 ◽  
Vol 11 (22) ◽  
pp. 6481 ◽  
Author(s):  
Mar Carlos ◽  
Antonio Gallardo ◽  
Natalia Edo-Alcón ◽  
Juan Ramón Abaso
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Collection ◽  
Traffic Lights ◽  
Collection Process ◽  
Loading And Unloading ◽  
The Times ◽  
Collection Point

Waste management plans pay attention to municipal solid waste (MSW) collection systems. It represents a significant portion of waste management as it involves a great economic cost and environmental impact. For these reasons, many researchers have studied the optimization of collection routes, analyzing factors that make them more efficient and sustainable, for example, the overall distance traveled and the time spent on the route. Collection times depend on factors such as the speed of the truck, time at traffic lights or time spent on loading and unloading the waste. The loading and unloading times play an important role in the measurement of the total time of the route. Moreover, there is scarce information in the literature about measuring the real-time spent on the trip. All those times are necessary to optimize the total route time. However, it is difficult to obtain this information directly as it depends on parameters such as the type of truck. The aim of this work is to propose a methodology to define all the times involved in the waste collection process. Once they are well defined, they have to be measured in some cases or calculated in others. This works also presents a case study to validate the proposed methodology with an extensive fieldwork to measure those times that can’t be calculated in the waste collection process. The work presents the results of a study of the time spent at a collection point in six MSW collection systems using different types of collection trucks and bin designs. We have determined how the characteristics of the system affect the time spent at a collection point. Additionally, the times for the six models have been established. Finally, we have determined the influence of the collection model in the duration of the activity. Under certain conditions, times can coincide even though the models are different.

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