Municipal waste management and electrical energy generation from solid waste: a mathematical programming approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jaber Valizadeh ◽  
Peyman Mozafari ◽  
Ashkan Hafezalkotob
Keyword(s):  
Waste Management ◽  
Environmental Pollutants ◽  
Energy Generation ◽  
Municipal Waste ◽  
Future Research ◽  
Programming Approach ◽  
Waste Collection ◽  
Content Type ◽  
Proposed Model ◽  
Objective Model

Purpose Waste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. The purpose of this study is to design a new model for municipal waste collection vehicle routing problems with time windows and energy generating from waste. To this purpose, a bi-objective model is presented with the objectives of increasing the income of waste recycles and energy generation from waste and reducing emissions from environmental pollutants. Design/methodology/approach A bi-objective model is presented with the objectives of increasing income of recycles trade and energy generation and reducing emissions from environmental pollutants. Concerning the complexity of the model and its inability to solve large-scale problems, non-dominated sorting genetic algorithms and multi-objective particle swarm optimization algorithms are applied. Findings In this research, an integrated approach to urban waste collection modeling that coordinates the various activities of waste management in the city of Kermanshah and energy generation from waste are provided. Besides, this study calculates the criteria that show the environmental effects of municipal waste. The proposed model helps to collect municipal wastes in the shortest possible time in addition to reducing the total cost, revenues from the sale of recycled materials and energy production. Originality/value The proposed model boosts the current understanding of the waste management and energy generation of waste. The paper adds additional value by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

A novel mathematical model for municipal waste collection and energy generation: case study of Kermanshah city

2020 ◽  
Vol 31 (5) ◽  
pp. 1437-1453
Author(s):  
Jaber Valizadeh
Keyword(s):  
Waste Management ◽  
Environmental Pollutants ◽  
Energy Generation ◽  
Municipal Waste ◽  
Future Research ◽  
Waste Collection ◽  
Urban Waste ◽  
Content Type ◽  
Proposed Model

PurposeWaste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. Since collecting and transporting waste are important parts of waste management budget, it is necessary to apply an appropriate method to reduce costs of collection. The aim of this study is to design a new model for urban waste collection vehicle routing problem with time windows and energy generating from waste.Design/methodology/approachA multiobjective model is presented with the objectives of minimizing cost of waste collection, reducing emissions from environmental pollutants and increasing income of recycles trade and energy recovery. Concerning the complexity of the model and its inability to solve large-scale problems, hyperactive genetic algorithms and multiple objective particle swarm optimization are applied.FindingsThe proposed model not only affects costs and income but also reduces the emissions of environmental pollutants. To solve the formulated model, multitarget approaches are applied on the processing site of Kermanshah city as a case study. The solutions of these algorithms and the exact method of partial constraints are compared and the outcomes are verified by numerical analysis by solving various examples in small, medium and large scales. The proposed model helps to collect urban wastes in the shortest possible time in addition to reducing the total cost, revenues from the sale of recycled materials and energy generation.Research limitations/implicationsWaste collection is related to VRP issue. Considering the environmental requirements in waste management, the concept of green supply chain is approached. This study provides a better understanding of urban waste management by examining various articles and combining economic and environmental dimensions. Waste management with a green approach and energy production from disposable waste involves many common stakeholders.Practical implicationsThis study suggests that proper waste management can generate revenue from municipal waste. Moreover, it reduces cost of collecting and emission of environmental pollutants. These findings could motivate companies to waste management with a sustainable approach.Originality/valueThe proposed model boosts the current understanding of the waste management and energy generation of waste. The paper adds additional values by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

scholarly journals Cytochrome P450 Monooxygenase-Mediated Metabolic Utilization of Benzo[a]Pyrene by Aspergillus Species

mBio ◽  
2019 ◽  
Vol 10 (3) ◽  
Author(s):  
Erin M. Ostrem Loss ◽  
Mi-Kyung Lee ◽  
Ming-Yueh Wu ◽  
Julia Martien ◽  
Wanping Chen ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Environmental Pollutants ◽  
Energy Generation ◽  
Fungal Species ◽  
Metabolic Changes ◽  
Cytochrome P450 Monooxygenase ◽  
Cellular Growth ◽  
P450 Monooxygenase ◽  
Content Type ◽  
Fundamental Knowledge

ABSTRACT Soil-dwelling fungal species possess the versatile metabolic capability to degrade complex organic compounds that are toxic to humans, yet the mechanisms they employ remain largely unknown. Benzo[a]pyrene (BaP) is a pervasive carcinogenic contaminant, posing a significant concern for human health. Here, we report that several Aspergillus species are capable of degrading BaP. Exposing Aspergillus nidulans cells to BaP results in transcriptomic and metabolic changes associated with cellular growth and energy generation, implying that the fungus utilizes BaP as a growth substrate. Importantly, we identify and characterize the conserved bapA gene encoding a cytochrome P450 monooxygenase that is necessary for the metabolic utilization of BaP in Aspergillus. We further demonstrate that the fungal NF-κB-type velvet regulators VeA and VelB are required for proper expression of bapA in response to nutrient limitation and BaP degradation in A. nidulans. Our study illuminates fundamental knowledge of fungal BaP metabolism and provides novel insights into enhancing bioremediation potential. IMPORTANCE We are increasingly exposed to environmental pollutants, including the carcinogen benzo[a]pyrene (BaP), which has prompted extensive research into human metabolism of toxicants. However, little is known about metabolic mechanisms employed by fungi that are able to use some toxic pollutants as the substrates for growth, leaving innocuous by-products. This study systemically demonstrates that a common soil-dwelling fungus is able to use benzo[a]pyrene as food, which results in expression and metabolic changes associated with growth and energy generation. Importantly, this study reveals key components of the metabolic utilization of BaP, notably a cytochrome P450 monooxygenase and the fungal NF-κB-type transcriptional regulators. Our study advances fundamental knowledge of fungal BaP metabolism and provides novel insight into designing and implementing enhanced bioremediation strategies.

An analysis of the economic viability of waste-to-energy generation in the Kumasi metropolis of Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
De-Graft Owusu-Manu ◽  
E. Amo-Asamoah ◽  
Frank Ato Ghansah ◽  
George Asumadu
Keyword(s):  
Waste Management ◽  
Current Knowledge ◽  
Methodological Approach ◽  
Energy Generation ◽  
Waste To Energy ◽  
Energy Deficit ◽  
Economic Viability ◽  
Cost Ratio ◽  
Unique Contribution ◽  
Content Type

Purpose Kumasi Metropolis, the second-largest city in Ghana is known to be bewildered with challenges relating to waste management. As a means of solving the waste management challenge, several suggestions are often made for the establishment of a waste-to-energy plant to manage the disposal of waste and generation of income. There have been no studies conducted to determine how economically viable such plants will be. This study aims to examine the economic viability of waste-to-energy generation in the Kumasi Metropolis to find out how economically viable such an approach will be. Design/methodology/approach To achieve this, a simple debt-equity ratio business model based on discounted cash flow technique was applied to estimate the internal rate of returns (IRR) as a measure of the economic viability and profitability of a modelled 50 MWH waste-energy generation plant in the Kumasi Metropolis. The analysis was performed using the RetScreen Expert Software. Findings The results show that the IRR and benefits cost ratio of the facility were 36% and 5.8%, respectively, indicating high levels of profitability and economic viability. The study concludes that waste-to-energy generation will be an economically viable venture in the Kumasi Metropolis. Practical implications It is, however, important for users of the findings of this study to take caution of the fact that the various assumptions although based on current knowledge and expert opinion may vary with time; therefore, the sensitive analysis on price and costs should always be considered. Practically, this study will contribute to solving the waste management situation in most cities, as well as generating revenue and helping close the energy deficit most developing countries are grabbling with. Originality/value The unique contribution of the study to knowledge is that it has professed an alternative analytical and methodological approach to measuring the financial viability of waste-to-energy plants in situations where there is none in the geographical jurisdiction of the proposed project.

A multi-objective supplier selection model for green supply chain network under uncertainty

2018 ◽  
Vol 13 (3) ◽  
pp. 605-625 ◽  
Author(s):  
Mohammad Khalilzadeh ◽  
Hadis Derikvand
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Objective Function Value ◽  
Selection Problem ◽  
Green Supply Chain ◽  
Content Type ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model ◽  
Supplier Selection Problem

Purpose Globalization of markets and pace of technological change have caused the growing importance of paying attention to supplier selection problem. Therefore, this study aims to choose the best suppliers by providing a mathematical model for the supplier selection problem considering the green factors and stochastic parameters. This paper aims to propose a multi-objective model to identify optimal suppliers for a green supply chain network under uncertainty. Design/methodology/approach The objective of this model is to select suppliers considering total cost, total quality parts and total greenhouse gas emissions. Also, uncertainty is tackled by stochastic programming, and the multi-objective model is solved as a single-objective model by the LP-metric method. Findings Twelve numerical examples are provided, and a sensitivity analysis is conducted to demonstrate the effectiveness of the developed mathematical model. Results indicate that with increasing market numbers and final product numbers, the total objective function value and run time increase. In case that decision-makers are willing to deal with uncertainty with higher reliability, they should consider whole environmental conditions as input parameters. Therefore, when the number of scenarios increases, the total objective function value increases. Besides, the trade-off between cost function and other objective functions is studied. Also, the benefit of the stochastic programming approach is proved. To show the applicability of the proposed model, different modes are defined and compared with the proposed model, and the results demonstrate that the increasing use of recyclable parts and application of the recycling strategy yield more economic savings and less costs. Originality/value This paper aims to present a more comprehensive model based on real-world conditions for the supplier selection problem in green supply chain under uncertainty. In addition to economic issue, environmental issue is considered from different aspects such as selecting the environment-friendly suppliers, purchasing from them and taking the probability of defective finished products and goods from suppliers into account.

scholarly journals Waste collection in rural communities: challenges under EU regulations. A Case study of Neamt County, Romania

2017 ◽  
Author(s):  
Florin Constantin MIHAI
Keyword(s):  
Rural Communities ◽  
Waste Management ◽  
Rural Areas ◽  
Regional Scale ◽  
Municipal Waste ◽  
Waste Collection ◽  
Management Options ◽  
Municipal Waste Management ◽  
Administrative Unit ◽  
Open Dumping

The paper aims to examine the changes in the rural waste management sector at regional scale since the Romania adhesion to the EU in 2007. Traditional waste management based on the mixed waste collection and waste disposal often on improper sites prevailed in municipal waste management options of transitional economies across the globe. The lack of formal waste collection services in rural areas has encouraged the open dumping or backyard burning. The paper analyses the improvements and challenges of local authorities in order to fulfill the new EU requirements in this sector supported by data analysis at local administrative unit levels and field observations. Geographical analysis is compulsory in order to reveal the local disparities. The paper performs an assessment of waste collection issues across 78 rural municipalities within Neamt County. This sector is emerging in rural areas of Eastern Europe, but is far from an efficient municipal waste management system based on the waste hierarchy concept.

scholarly journals Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

2021 ◽  
Vol 12 (5) ◽  
pp. 580-586
Author(s):  
Polaiah Bojja, Pamula Raja Kumari, A.Nagavardhan N.Dinesh, M.Gopla D Anirudh
Keyword(s):  
Waste Management ◽  
Monitoring System ◽  
Smart City ◽  
Waste Treatment ◽  
Smart Cities ◽  
Municipal Waste ◽  
Waste Collection ◽  
Solar Powered ◽  
Analyze Data

Dustbins (or Garbage Bins, Trash Cans, whatever you name them) are small containers of plastic or metal used on a temporary basis to store trash (or waste). They are also used for the collection of waste in houses, workplaces, highways, parks, etc. Littering is a major crime in some countries, and public waste bins are also the only way to dispose of small waste. Usually, using different bins for handling wet or dry, recyclable or non-recyclable waste is a common practice. From an ETS perspective, smart waste collection can help municipalities and private waste management companies avoid the need for collection sites, waste disposal facilities and waste treatment plants. As communities increasingly rely on smart city technology to improve, among other things, the quality of life of their residents and the environment, city leaders recognize that smart waste management can also help them achieve sustainability goals such as zero waste and improve services to residents, while improving service to residents. As an example, Development of Some solar-powered bins and recycling bins are already equipped with sensors that analyze data on what is disposed of or recycled and notify collectors when the bin is too full and needs to be picked up. These developed Smart waste management solutions use sensors placed in waste bins to measure levels, notify municipal waste collection services, when the bins are ready to be emptied, and also notify municipal waste collection with a ton has been emptied. Therefore, the solar-powered of sensors based smart waste monitoring system is more and more useful to the current smart cities policies under the smart city project works.

Organizing inter-firm project governance – a contextual model for empirical investigation

2018 ◽  
Vol 11 (1) ◽  
pp. 144-157 ◽  
Author(s):  
Simon von Danwitz
Keyword(s):  
Organization Theory ◽  
Contextual Factors ◽  
Project Performance ◽  
Future Research ◽  
Content Type ◽  
Project Governance ◽  
Proposed Model ◽  
Key Characteristics ◽  
Conceptual Paper ◽  
Selection Of

Purpose The management of major inter-firm projects requires a coherent, holistic governance framework to be effective. However, most existing models of project governance are limited to a narrow selection of contractual, structural or procedural aspects, and further neglect contextual factors, such as key characteristics of a project and its partners. The paper aims to discuss these issues. Design/methodology/approach This conceptual paper proposes an integrative analytical model of inter-firm project governance, building upon contingency theory and drawing from established constructs rooted in organization theory. Findings The paper aims to integrate two largely distinct streams of research and synthesize the respective constitutive dimensions of project governance into a coherent conceptual model. Further, interrelationships with contextual factors, such as project-related and partner-related characteristics, and project performance are discussed. Originality/value The proposed model purposefully merges two complementary streams of project governance research. As the model further provides clear contextual factors, it strengthens an emerging stream of project research by systematically examining external influences of project organizing. Future research may utilize this model and the suggested operationalization for each of the constructs as a basis to empirically investigate the design and effectiveness of governance regimes of major projects.

scholarly journals Municipal Waste Management in Towns of Switzerland: a Foreign Ecologist’s View

2020 ◽  
Vol 169 ◽  
pp. 02010
Author(s):  
Roman Mamadzhanov ◽  
Yulia Zakirova ◽  
Mykhadi Umarov
Keyword(s):  
Waste Management ◽  
Environmental Assessment ◽  
Waste Recycling ◽  
Municipal Waste ◽  
Waste Collection ◽  
Recycling System ◽  
Municipal Waste Management ◽  
The Impact

The article presents the results of the research carried out by the foreign ecologists, particularly the study of the system of municipal waste management in the municipality of Maienfeld, Switzerland. The total amount of municipal waste has been calculated. The systems of municipal waste collection, sorting, transportation and recycling have been studied. Besides, four possible scenarios of waste recycling in Maienfeld have been developed. Moreover, the environmental assessment of the waste recycling system by GHG/SLCP emissions has been conducted, and the impact of recycling on the climate has been determined. Finally, taking into account the results of the research, the best scenario of recycling has been proposed.

A fuzzy goal programming approach for selecting sustainable suppliers

2017 ◽  
Vol 24 (5) ◽  
pp. 1138-1165 ◽  
Author(s):  
Peeyush Pandey ◽  
Bhavin J. Shah ◽  
Hasmukh Gajjar
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Qualitative Data ◽  
Fuzzy Goal Programming ◽  
Programming Approach ◽  
Two Phase ◽  
Content Type ◽  
Lean Practices ◽  
Proposed Model ◽  
Fuzzy Goal

Purpose Due to the ever increasing concern toward sustainability, suppliers nowadays are evaluated on the basis of environmental performances. The data on supplier’s performance are not always available in quantitative form and evaluating supplier on the basis of qualitative data is a challenging task. The purpose of this paper is to develop a framework for the selection of suppliers by evaluating them on the basis of both quantitative and qualitative data. Design/methodology/approach Literature on sustainability, green supply chain and lean practices related to supplier selection is critically reviewed. Based on this, a two phase fuzzy goal programming approach integrating hyperbolic membership function is proposed to solve the complex supplier selection problem. Findings Results obtained through the proposed approach are compared to the traditional models (Jadidi et al., 2014; Ozkok and Tiryaki, 2011; Zimmermann, 1978) of supplier selection and were found to be optimal as it achieves higher aspiration level. Practical implications The proposed model is adaptive to solve real world problems of supplier selection as all criteria do not possess the same weights, so the managers can change the criteria and their weights according to their requirement. Originality/value This paper provides the decision makers a robust framework to evaluate and select sustainable supplier based on both quantitative and qualitative data. The results obtained through the proposed model achieve greater satisfaction level as compared to those achieved by traditional methods.

A game theoretic approach to optimal pricing of flights and passengers at congested airports

2018 ◽  
Vol 13 (2) ◽  
pp. 434-454 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Moeen Sammak Jalali ◽  
Shib Sankar Sana
Keyword(s):  
Large Scale ◽  
Congestion Pricing ◽  
Influential Factors ◽  
Future Research ◽  
Theoretic Approach ◽  
Content Type ◽  
Numerical Examples ◽  
Proposed Model ◽  
Managerial Implications ◽  
Game Theoretic

Purpose This paper aims to embark a mathematical model based on investigation and comparison of airport pricing policies under various types of competition, considering both per-passenger and per-flight charges at congested airports. Design/methodology/approach In this model, four-game theoretic strategies are assessed and closed-form formulas have been proved for each of the mentioned strategies. Numerical examples and graphical representations of the optimal solutions are provided to illustrate the models. Findings The rectitude of the presented formulas is evaluated with sensitivity analysis and numerical examples have been put forward. Finally, managerial implications are suggested by means of the proposed analysis. Research limitations/implications The represented model is inherently limited to investigate all the available and influential factors in the field of congestion pricing. With this regard, several studies can be implemented as the future research of this study. The applications of other game theoretic approaches such as Cartel games and its combination with the four mentioned games seem to be worthwhile. Moreover, it is recommended to investigate the effectiveness of the proposed model and formulations with a large-scale database. Originality/value The authors formulate a novel strategy that put forwards a four-game theoretic strategy, which helps managers to select the best suitable ones for their specific airline and/or air traveling companies. The authors find that by means of the proposed model, the application of Stackelberg–Bertrand behavior in the field of airport congestion pricing will rebound to a more profitable strategy in contrast with the other three represented methods.

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