Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes

2020 ◽  
pp. 0734242X2093518 ◽  
Author(s):  
Gulnur Coskuner ◽  
Majeed S Jassim ◽  
Metin Zontul ◽  
Seda Karateke
Keyword(s):  
Neural Network ◽  
Solid Waste ◽  
Mean Squared Error ◽  
Solid Waste Management ◽  
Management Strategies ◽  
Cost Effective ◽  
Coefficient Of Determination ◽  
Neural Network Modeling ◽  
Msw Management ◽  
Ann Models

Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron artificial neural network (MLP-ANN) is applied to verify the prediction of annual generation rates of domestic, commercial and construction and demolition (C&D) wastes from the year 1997 to 2016 in Askar Landfill site in the Kingdom of Bahrain. The proposed robust predictive models incorporated selected explanatory variables to reflect the influence of social, demographical, economic, geographical and touristic factors upon waste generation rates (WGRs). The Mean Squared Error (MSE) and coefficient of determination ( R2) are used as performance indicators to evaluate effectiveness of the developed models. MLP-ANN models exhibited strong accuracy in predictions with high R2 and low MSE values. The R2 values for domestic, commercial and C&D wastes are 0.95, 0.99 and 0.91, respectively. Our results show that the developed MLP-ANN models are effective for the prediction of WGRs from different sources and could be considered as a cost-effective approach for planning integrated MSW management systems.

scholarly journals Prediction of Municipal Waste Generation in Poland Using Neural Network Modeling

2020 ◽  
Vol 12 (23) ◽  
pp. 10088
Author(s):  
Monika Kulisz ◽  
Justyna Kujawska
Keyword(s):  
Neural Network ◽  
Waste Management ◽  
Mean Squared Error ◽  
Cost Effective ◽  
Municipal Waste ◽  
Neural Network Modeling ◽  
Waste Generation ◽  
Crucial Component ◽  
Ann Models ◽  
The Impact

Planning is a crucial component of short- and long-term municipal waste management. Establishing the relationships between the factors that determine the amount of waste generated by municipalities and forecasting the waste management needs plays a fundamental role in the development of effective planning strategies and implementation of sustainable development. Artificial Neural Network employed for verifying the forecasts pertaining to the amount of rainfall in Poland were presented in the studies. The proposed models included selected explanatory indices in order to reflect the impact of social, demographic and economic factors on the amount of generated waste. Mean squared error (MSE) and regression value (R) are used as indices of efficiency of the developed models. The ANN models exhibited high accuracy of forecasts at high R values (R = 0.914, R = 0.989) and low MSE values. Derived from the socioeconomic data for 2003–2019, the model predicts that the future waste generation in 2024 will increase by 2%. The results indicate that the employed ANN models are effective in predicting the amount of waste and can be considered a cost-effective approach to planning integrated waste management systems.

The state of municipal solid waste management in Israel

2018 ◽  
Vol 36 (6) ◽  
pp. 527-534 ◽  
Author(s):  
Shira Daskal ◽  
Ofira Ayalon ◽  
Mordechai Shechter
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Financial Incentives ◽  
Solid Waste Management ◽  
Management Strategies ◽  
The State ◽  
Municipal Solid Waste Management ◽  
Msw Management ◽  
Wide Range

Regulation is a key tool for implementing municipal solid waste (MSW) management strategies and plans. While local authorities in Israel are responsible for the storage, collection, and disposal of MSW, Israel’s Ministry of Environmental Protection (MoEP) is responsible for the formulation and implementation of waste management policies and legislation. For the past 12 years, about 80% of the MSW in Israel has been landfilled and recycling rates have not increased, despite regulations. This paper presents the state of MSW management in Israel in light of the MoEP’s strategic goal of landfilling reduction, the regulations and legislation designed and implemented for achieving this goal, and the ensuing results. Among other things, the results indicate the importance of monitoring and assessing policy and regulations to examine whether regulation is in fact effective and whether it keeps track of its own targets and goals or not. It is also concluded that even when there is an extensive regulation that includes a wide range of laws, economic penalties and financial incentives (such as landfill levy and financing of MSW separation at source arrangements), this does not guarantee proper treatment or even an improvement in waste management. The key to success is first and foremost a suitable infrastructure that will enable achievement of the desired results.

scholarly journals Urban solid waste challenges in the BRICS countries: a systematic literature review

2018 ◽  
Vol 13 (2) ◽  
pp. 1 ◽  
Author(s):  
Andriani Tavares Tenório Gonçalves ◽  
Flávia Tuane Ferreira Moraes ◽  
Guilherme Lima Marques ◽  
Josiane Palma Lima ◽  
Renato Da Silva Lima
Keyword(s):  
Solid Waste ◽  
Solid Waste Management ◽  
Management Strategies ◽  
Decision Makers ◽  
Msw Management ◽  
Brics Countries ◽  
Sanitary Landfills ◽  
The Status ◽  
Urban Solid Waste ◽  
Solid Waste Generation

Urban Solid Waste Management (USWM) is a worldwide challenge. The problems faced are even greater due to the disproportional increase of Urban Solid Waste (USW) generation in volume, especially in a context of increased urbanization, population growth and economic globalization in the BRICS countries (Brazil, Russia, India, China and South Africa). In this context, the objective of this work is to analyze the status of MSW management in the BRICS countries, as well as to promote an exchange of experience and management strategies, pointing out possible ways to improve USWM systems that have to be adapted to each local reality. Focusing on this, a systematic literature revision was carried out through a bibliometric analysis. Results showed that the management system of these BRICS countries does not possess well-developed structures. The collection stage is quite often inefficient, the solid waste being stored in inappropriate ways and also disposed of in irregular locations. The participation of the informal sector is a trademark characteristic in USWM for BRICS countries, highlighting the need to integrate and formalize these activities for USW collection. Due to the high organic fraction, it is known that composting offers advantages as a way to promote a better use of organic waste and also as a means of reducing the amount of waste sent to sanitary landfills. Finally, with a better knowledge about solid waste generation and decentralization of the offered services, the decision makers will be able to successfully provide this essential public service.

scholarly journals Assessment of the Synergy between Recycling and Thermal Treatments in Municipal Solid Waste Management in Europe

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6412
Author(s):  
Marco Abis ◽  
Martina Bruno ◽  
Kerstin Kuchta ◽  
Franz-Georg Simon ◽  
Raul Grönholm ◽  
...  
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Raw Materials ◽  
Action Plan ◽  
Management Strategies ◽  
Bottom Ash ◽  
Municipal Solid Waste Management ◽  
Management Options ◽  
Msw Management

In 2018, the production of Municipal Solid Waste (MSW) in EU-28 reached 250.6 Mt, with the adoption of different management strategies, involving recycling (48 wt %), incineration and thermal valorization (29 wt %) and landfilling (23 wt %). This work was based on the analysis of the baseline situation of MSW management in EU-28 in 2018, considering its progress in 2008–2018, and discussed the possible improvement perspectives based on a framework involving incineration and recycling as the only possible alternatives, specifically evaluating the capability of already-existing incineration plants to fulfill the EU needs in the proposed framework. The results of the assessment showed two main crucial issues that could play a pivotal role in the achievement of Circular Economy action plan targets: the need to increase the recycling quotas for specific MSW fractions through the separate collection, and therefore the improvement of definite treatment process chains; the optimization of the recovery of secondary raw materials from incineration bottom ash, involving the recycling of ferrous and nonferrous metals and the mineral fraction. Both issues need to find an extensive application across all member states to decrease the actual differences in the adoption of sustainable MSW management options.

scholarly journals Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Amila T. Peiris ◽  
Jeevani Jayasinghe ◽  
Upaka Rathnayake
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Wind Power ◽  
Wind Farm ◽  
Mean Squared Error ◽  
Wind Power Generation ◽  
Training Algorithms ◽  
Training Algorithm ◽  
Squared Error ◽  
Ann Models

Wind power, as a renewable energy resource, has taken much attention of the energy authorities in many countries, as it is used as one of the major energy sources to satisfy the ever-increasing energy demand. However, careful attention is needed in identifying the wind power potential in a particular area due to climate changes. In this sense, forecasting both wind power generation and wind power potential is essential. This paper develops artificial neural network (ANN) models to forecast wind power generation in “Pawan Danawi”, a functioning wind farm in Sri Lanka. Wind speed, wind direction, and ambient temperature of the area were used as the independent variable matrices of the developed ANN models, while the generated wind power was used as the dependent variable. The models were tested with three training algorithms, namely, Levenberg-Marquardt (LM), Scaled Conjugate Gradient (SCG), and Bayesian Regularization (BR) training algorithms. In addition, the model was calibrated for five validation percentages (5% to 25% in 5% intervals) under each algorithm to identify the best training algorithm with the most suitable training and validation percentages. Mean squared error (MSE), coefficient of correlation (R), root mean squared error ratio (RSR), Nash number, and BIAS were used to evaluate the performance of the developed ANN models. Results revealed that all three training algorithms produce acceptable predictions for the power generation in the Pawan Danawi wind farm with R > 0.91, MSE < 0.22, and BIAS < 1. Among them, the LM training algorithm at 70% of training and 5% of validation percentages produces the best forecasting results. The developed models can be effectively used in the prediction of wind power at the Pawan Danawi wind farm. In addition, the models can be used with the projected climatic scenarios in predicting the future wind power harvest. Furthermore, the models can acceptably be used in similar environmental and climatic conditions to identify the wind power potential of the area.

scholarly journals Recovery of Food Wastes for a Potential Maggot Production as Animal Feed and Solid Waste Management

2021 ◽  
Author(s):  
Kulyash Meiramkulova ◽  
Gulmira Adilbektegi ◽  
Galym Baituk ◽  
Aigul Kurmanbayeva ◽  
Anuarbek Kakabayev ◽  
...  
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Food Waste ◽  
Solid Waste Management ◽  
Animal Feed ◽  
Cost Effective ◽  
Dry Weight ◽  
Average Weight ◽  
Waste Recovery ◽  
Investigation Process

Waste recovery is an important aspect towards human and environmental health protection. Unfortunately, proper food waste management is among the serious challenges in the field of solid waste management worldwide. Therefore, it is of great importance to conduct studies towards achieving efficient and cost-effective approaches for food waste management. This study investigated the potential of recovering food waste through maggots&rsquo; production as animal feed. The influence of fly attractant application on maggot production was also investigated. The study also investigated the potential of maggot production for waste recovery and reduction. Four different types of food waste (starch food leftovers, rotten bananas and peels, rotten pineapple and peels, and rotten oranges) were used in the investigation process. From the results, it was observed that the application of fly attractants had a significant effect on the production of maggots as determined by the weights after harvesting. Average weight of 94 g/kg of maggot was achieved from banana materials with an application of fly attractant during the 8th day of the cultivation; which is equivalent to a 32.4% increase from the same day when the material was cultured without applying fly attractant. Also, from the starch materials, about 77 g/kg of maggot weight was achieved; which is a 54.6% increase from the same day and the same material but without application of fly attractant. Moreover, the relative dry weight reduction in the trials varied from 52.5% to 82.4%.

A Framework for Assessment of Existing Solid Waste Management Practices and Characterization of Municipal Solid Waste in Muzzafarnagar City, India

2018 ◽  
pp. 1-18
Author(s):  
Ankur Choudhary ◽  
Rajiv Ganguly ◽  
Ashok Kumar Gupta
Keyword(s):  
Solid Waste ◽  
Management Practices ◽  
Solid Waste Management ◽  
Collection Efficiency ◽  
Chemical Characterization ◽  
Uttar Pradesh ◽  
Msw Management ◽  
Waste Management Practices ◽  
The City

This chapter reports the details of the existing system of MSW management and characterization of Muzaffarnagar City located in Western Uttar Pradesh (UP) state in India. The overall waste generated in the city is about 120-125 tons per day (TPD) with a per capita generation rate of 0.415 kg/person/day with a collection efficiency of 70-80%. Physico-chemical and geotechnical properties of the MSW were carried out to determine its overall characteristics. The characterization results showed about 46% of the waste generated in the city is organic nature (from HIG and MIG) and 52% for (LIG) with chemical characterization showing that the elemental carbon was in the highest proportion. Further, the chapter also recommends suitable remedial measures for proper management of the existing MSW management system and suitable treatment alternatives.

Using a Carbon Balance to Estimate Greenhouse Gas Emissions and Mitigation From Municipal Solid Waste Management

2008 ◽  
Author(s):  
Brian Bahor ◽  
Keith Weitz ◽  
Andrew Szurgot
Keyword(s):  
Municipal Solid Waste ◽  
Greenhouse Gas ◽  
Solid Waste ◽  
Carbon Balance ◽  
Solid Waste Management ◽  
Ghg Emissions ◽  
Municipal Solid Waste Management ◽  
Msw Management ◽  
Alternative Approach ◽  
Changes Over Time

Municipal solid waste (MSW) management is internationally recognized for its potential to be both a source and mitigation technology for greenhouse gas (GHG) emissions. Historically, GHG emission estimates have relied upon quantitative knowledge of various MSW components and their carbon contents, information normally presented in waste characterization studies. Aside from errors associated with such studies, existing data do not reflect changes over time or from location to location and are therefore limited in their utility for estimating GHG emissions and mitigation due to proposed projects. This paper presents an alternative approach to estimate GHG emissions and mitigation using the concept of a carbon balance, where key carbon quantities are determined from operational measurements at modern municipal waste combustors (MWCs).

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