Smart-sight: Video-based waste characterization for RDF-3 production.

A material recovery facility (MRF) can transform municipal solid waste (MSW) into a valued commodity called refuse-derived fuel (RDF) as a promising solution to waste-to-energy conversion. The quality of the produced RDF significantly relies on the composition of in-feed waste and waste characterization method applied for auditing purposes, a process that is both time-consuming and fraught with potential hazards. This study focuses to enhance the workflow of the waste characterization process at an MRF. A solution named Smart Sight is proposed to detect and classify waste based on videos recorded after processing MSW through a mechanical sorting line consisting of bag breakers and trommel screens. A comprehensive dataset is created encompassing thirteen mixed waste classes from single and multi-family streams. The dataset is preprocessed with motion compensation techniques and frame differencing methods to extract and refine valuable frames. A one-stage YOLO detector model is then trained over the dataset. The experimental results show that the proposed method works efficiently at detecting and classifying waste objects in indoor MRF environments. Accuracy, precision, recall, and F1 score related to the proposed solution are found to be 0.70, 0.762, 0.69 and 0.72, respectively, with a mAP@0.5 of 0.716. The proposed approach is validated using data collected from local MRF by comparing the estimated waste composition values of the proposed solution with laboratory results obtained through current standardized industrial practices. Comparison reveals that waste characterization estimation obtained is consistent with the laboratory results, inferring that Smart-Sight is a viable tool for estimating waste composition.

Rapid characterization of sulfur and phosphorus in organic waste by near infrared spectroscopy.

Near-infrared spectroscopy (NIRS) has recently emerged as a valuable tool for monitoring organic waste utilized in anaerobic digestion processes. Over the past decade, NIRS has significantly improved the characterization of organic waste by enabling the prediction of several crucial parameters such as biochemical methane potential, carbohydrate, lipid and nitrogen contents, Chemical Oxygen Demand, and kinetic parameters. This study investigates the application of NIRS for predicting the levels of Sulfur (S) and Phosphorus (P) within organic waste materials. The results for sulfur prediction exhibited a high level of accuracy, yielding an error of 1.21 g/Kg[TS] in an independently validated dataset, coupled with an R-squared value of 0.84. Conversely, the prediction of phosphorus proved to be slightly less successful, showing an error of 1.49 g/Kg[TS] with an R-squared value of 0.70. Furthermore, the disparities in performance seem to stem from the inherent correlation between the spectral data and the sulfur or phosphorus contents. Significantly, a variable selection technique known as CovSel was employed, shedding light on the differing approaches used for sulfur and phosphorus predictions. In the case of sulfur, the prediction was achieved through a direct correlation with wavelengths associated with sulfur-related functional groups (such as R - S(=O)2 - OH, -SH, and R-S-S-R) present in the NIR spectra. In contrast, phosphorus prediction relied on an indirect correlation with absorption bands related to organic matter (including CH, CH2, CH3, -CHO, R-OH, C = O, -CO2H, and CONH).

Is the assimilation to a solid recovered fuel a viable solution for automobile shredder residues' management?

Directive 2000/53/EC and the European Circular Economy Package (2018) required the Member States to take all the necessary measures to reach the reuse-recycling goal of 85% for end-of-life vehicles (ELVs). In 2019, Europe achieved 89.6% of reuse-recycling, but most EC countries are still not completely compliant, Italy standing, for example, at only 84.2%. For this reason, actions are necessary to increase reuse-recycling for the waste generated in the operations of ELV shredding and separation, known as automobile shredded residues (ASRs). This study was aimed at assessing if the assimilation of ASRs to a solid recovered fuel (SRF) was a feasible solution. That would allow the waste to lose its status (end-of-waste, EoW), thus increasing the recycling rate. The assimilation of ASRs to SRFs requires the compliance with a series of parameters, namely net calorific value (NCV), content of chlorine (Cl), mercury (Hg) and selected heavy metals. The above-mentioned parameters were analyzed in the principal ASR fractions, namely textile, plastic and foam rubber, found in the samples collected during four sampling campaigns (2017-2021) performed at the same ELV treatment plant. Notwithstanding the great variability observed in the four samples, the results of the analyses revealed that the three fractions were compliant with NCV, Cl and Hg content. Conversely, the heavy metals' content was found a more critical parameter, in fact only the plastic fraction was suitable for SRF assimilation. Textiles presented criticality for the content of copper (Cu), nickel (Ni) and antimony (Sb). The heavy metals' contamination of foam rubber was found to be strongly related to particles' dimensions. A model which put particle size and metals' content into relationship was developed and validated. Removing particles of <40 mm significantly improved the quality of the material, however the content of Cu and Ni remained a critical issue for particles up to 200 mm. The SRF assimilation of the plastic fraction would increase the reuse-recycling rate of approx. 2.4-3.3%, thus allowing the achievement of the EC goals concerning the ELV management.

Effects of socio-economic status and daily variation on municipal solid waste composition: a preliminary analysis for sustainable planning and development in Aligarh City.

In the context of developing countries such as India, with great differences in people's living standards and different communities, municipal solid waste (MSW) management is one of the most promising problems in front of municipal organizations. Unlike every city in India, Aligarh City also faces the same problem of municipal solid waste management. This problem not only affects the esthetic view but is also hazardous to people nearby health. Currently, solid waste collected is either dumped in landfill unscientifically or partially treated by A to Z waste management (limited) by composting. In the present study, an effort was made to know about the per capita waste generation and variations in the quantity of different components of the MSW in five different regions of the city with dissimilar living standards. Also, weekly variation was analyzed in the study. One-way ANOVA analysis using Statistical Package for the Social Sciences is performed to investigate the variations in the mean composition of different components. The per capita solid waste generation in Aligarh City was found to be 0.42 kg/person/day. From the analysis, we came to know that compostable component (35.4%) is the highest, then inert (24.6%), plastic (12.2%), paper (10%), textile (9.2%), and sand (8.6%). After analysis, the results can help sort out the problem of MSW management in the city by selecting appropriate units as per the composition of MSW.

Composition analysis (pick analysis) of waste generated from household: A pilot study in Ujjain city, India.

Waste segregation is an essential function in improving waste management. Waste segregation not only facilitates recycling and reduces waste going to landfills, rather it can benefit our environment and human in various ways. A pick analysis of waste composition is used to characterize the household waste stream and thus can analyze the segregation rate among the residents. In addition, it can measure the actual waste sorting behaviour at the household/community level. The objective of the study was to assess feasibility of a large-scale waste composition study, identify methodological and operational challenges, and estimate the resources needed to conduct the main waste composition study in order to obtain and get indicative figures about waste generation, composition, and miss-sorted proportions. The study team went door-to-door to collect waste in colour coded bags. We also collected the socio-demographic data of the households. The collected waste was weighed and segregated to analyze the waste composition. The analysis was done among 45 households, and it was found that the per capita waste generation per day is 0.25 kg (0.24 kg from slum and 0.27 kg from non-slum). Challenges identified in conducting waste composition study were lack of standard waste fraction classifications, difficulty in recruitment of personnel to conduct study due to social taboo around waste, challenge in co-coordinating with Ujjain Municipal Corporation waste collection vehicle for collection of waste. 53 household activities were completed in 5 and half hours with INR 24685 (USD 300.5). Pick analysis could be adopted by the Ujjain Municipal Corporation after cost effective analysis to generate precise estimate of waste generation, resource recovery, efficient resource allocation and will help in future interventions and informed policy decision making to improve segregation.

The Influence of Socio-Economic and Psychological Factors on the Composition of Household Solid Waste in Farahzad Neighborhood, Tehran, Iran.

Appropriate solid waste management requires correct identification of its quantitative and qualitative characteristics. Permanent changes in household solid waste composition (especially in developing countries) necessitate identifying factors affecting the composition to avoid frequent, extensive and high-cost sampling. The case study here is Farahzad Neighborhood in Tehran, a region where solid waste is not collected and managed properly, in turn, threatening the health of the residents in that area. The current study aims to identify socio-economic and psychological factors affecting household waste composition in this region. The data collection tool was a questionnaire, completed from July to August 2020, where 66 households were randomly selected as representative of 1950 households. Different parametric statistical tests were undertaken using the SPSS software to characterize factors affecting the waste composition in the research area. The results showed a significant difference (sig < .05) in the amount of recyclables in terms number employed people and household members as well education levels. There was also a significant difference (sig < .05) between the amount of food waste and education level, yet no (sig > .05) between the knowledge of waste management and the amount of generated plastics. Overall, this information may benefit managers and decision-makers to set more effective and socially inclusive policies for storing, collecting, and disposing of solid waste to ensure people from lower socio-economic groups are considered as well.

In-toto non-destructive assay methodology for the elimination of metallic waste from particle accelerators after melting.

Melting of metallic waste reduces the waste volume, allows more accurate radiological characterization, and minimizes handling at the waste production site. This paper proposes a new non-destructive assay methodology to radiologically characterize low- and intermediate-level (LILW) waste before melting. A non-destructive assay technique is developed and qualified using geometry optimization technique and sample analysis after melting. Additionally, we present an operational methodology to predict the activity values of the major gamma emitters based on the average dose rate measurements.

Waste to energy: a decision-making process for technology selection through characterization of waste, considering energy and emission in the city of Ahmedabad, India.

Municipal solid waste (MSW) disposal has become major issue for the city of Ahmedabad, India. Development, concentrated population and economic growth have led to a substantial increase of MSW generation. Therefore, the objective of the study was to characterize MSW for selection of waste processing technology. To provide a solution for sustainable processing and for safe disposal of fresh MSW, Abellon Clean Energy Ltd joined forces with Ahmedabad Municipal Corporation (AMC) under Public-Private Partnership (PPP) to establish a 14.9MW advanced controlled combustion-based waste to energy (WTE) generation facility to process and dispose 1000 tons/day of fresh MSW. For waste characterization, samples (n=201) were collected from the Pirana waste dumping site using quadrate sampling method. A yearly weighted average Low Heating Value (LHV) of 9.85/kg and ash content 25.12% for unsegregated MSW makes controlled combustion with electricity generation an eligible technology. After combustion, the waste volume is reduced by 75%. The 14.9MW WTE facility replaces 417 t coal/day, reducing greenhouse gas (GHG) emissions of 300.38 tCO2eq/day through coal replacement, while avoiding 735.24 t CO2eq/day on account of landfill emissions from MSW dumping. Waste to energy is the fastest solution to reduce waste volume by generating electricity through reduction of GHG.

The Proof Is in the Pudding: Using a Randomized Controlled Trial to Evaluate the Long-Term Effectiveness of a Household Food Waste Reduction Intervention During the COVID-19 Pandemic.

To halve per capita global food waste by 2030, policies and programs that effectively reduce household food waste generation are needed. Building upon a previous randomized controlled trial, this study evaluated the long-term effectiveness of the "Reduce Food Waste, Save Money" household food waste reduction intervention by comparing direct measurements of household food waste generated by treatment (n = 47) and control households (n = 52) over three time periods. The results indicate that there has been a long-term, sustained 30% reduction of avoidable food waste sent to landfill by treatment households following the implementation of this intervention. Additionally, this study assessed the impact of pandemic circumstances on the quantity and composition of household food waste by comparing direct measurements of food waste generated by the same households before (October 2017) and during (June 2020) the COVID-19 pandemic. During the first wave of the pandemic in Ontario, Canada, study households (n = 99) sent 2.98 kg of food waste to landfill per week, of which 54% was classified as avoidable food waste, and the remaining 46% as unavoidable food waste. During the pandemic, the generation of unavoidable food waste significantly increased by 65% (p < 0.01). There were also significant changes to the composition of wasted food, including a 78% increase in avoidable fruit and vegetables (p < 0.01), a 228% increase in avoidable other food (p < 0.01), and an 84% increase in unavoidable other food (p = 0.02).

PortiK: A computer vision based solution for real-time automatic solid waste characterization - Application to an aluminium stream.

In Material Recovery Facilities (MRFs), recyclable municipal solid waste is turned into a precious commodity. However, effective recycling relies on effective waste sorting, which is still a challenge to sustainable development of our society. To help the operations improve and optimise their process, this paper describes PortiK, a solution for automatic waste analysis. Based on image analysis and object recognition, it allows for continuous, real-time, non-intrusive measurements of mass composition of waste streams. The end-to-end solution is detailed with all the steps necessary for the system to operate, from hardware specifications and data collection to supervisory information obtained by deep learning and statistical analysis. The overall system was tested and validated in an operational environment in a material recovery facility. PortiK monitored an aluminium can stream to estimate its purity. Aluminium cans were detected with 91.2% precision and 90.3% recall, respectively, resulting in an underestimation of the number of cans by less than 1%. Regarding contaminants (i.e. other types of waste), precision and recall were 80.2% and 78.4%, respectively, giving an 2.2% underestimation. Based on five sample analyses where pieces of waste were counted and weighed per batch, the detection results were used to estimate purity and its confidence level. The estimation error was calculated to be within ±7% after 5 minutes of monitoring and ±5% after 8 hours. These results have demonstrated the feasibility and the relevance of the proposed solution for online quality control of aluminium can stream.

Solid waste assessment in a coastal fishing community in Peru.

Peru has a large small-scale fishing fleet upon which many coastal communities depend for their food and livelihoods. Nonetheless, no thorough assessments have been conducted of solid waste production and management of small-scale fisheries (SSF) and associated communities. We aimed to assess gillnet SSF and household solid waste generation in San Jose, north Peru. A solid waste generation assessment was conducted by monitoring solid waste production during 22 fishing trips and interviewing 70 families. Daily waste generation and recycling per capita, were calculated applying separate Generalized Linear Mixed-Effect Models. Organic waste is the most frequently produced during fishing activities (38%) and at home (83%), followed by plastic and metal. Glass, paper/cardboard, and fishing nets were solely produced during fishing trips. Daily waste per capita was estimated on 0.14 kg∗(day)-1 onboard, and 0.33 kg∗(day)-1 at home. Additionally, perception interviews showed that the population of San Jose perceived solid waste as a threat to public health and marine ecosystems. This study provides a first attempt to assess solid waste production in a Peruvian fishing community, showing the need for an integrated management plan embracing vessel and land-based solid waste generation.

Utilization and recycling of wood ashes from industrial heat and power plants regarding fertilizer use.

To achieve a sustainable circular economy for wood ash, the reuse of wood ash in agriculture and forestry is important. To evaluate the usability of ash from the combustion of natural as well as waste wood for application as fertilizer, wood fuel and corresponding ash fraction samples (n = 86) of four industrial wood-fired heat and power plants (>20 MW) were investigated. In different ash fractions, the concentrations of heavy metals (As, Cd, Pb, Ni, Tl, Zn) and plant nutrients (N, P, K, Ca) were assessed with regard to relevant legislation from the European Union and from selected European countries (Germany, Austria and Finland). Depending on fuel composition and combustion kinetics within the respective plants, the investigated ash fractions showed a wide range of nutrient and heavy metal contents. Apart from N which is mainly emitted with the flue gas, plant nutrients were present in substantial concentrations with mean values corresponding to 20% P, 55 % K and >95% Ca content compared to nutrient compound fertilizer. A direct application of most ash fractions from both natural and waste wood combustion is however not possible due to high contents of Cd, Pb and Ni. In order to develop the ash for secondary use, investigation for a suitable treatment process is necessary. An estimation of the nutrient recovery potential from industrial wood energy plants in southwest Germany showed that approx. 3.1% (P), 7.5% (K) and 22.8% (Ca) of raw material for fertilizers could be substituted by ash.

Geo-environmental and geotechnical characterization of municipal solid waste from the selective collection in São Paulo city, Brazil.

This paper presents the characterization of municipal solid waste (MSW) randomly collected from two material recovery facilities in São Paulo city, before (input - recyclables) and after (output - rejects) the sorting processes. Geo-environmental and geotechnical tests were performed on shredded samples and a digestion method was applied to detect the metals As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn concentrations using an ICP OES. The objective was to assist future activities of integrated solid waste management and soil pollution. Results showed different particle sizes comparing the input (44.6%) and the output MSW (75.1%) passing through the 100-mm sieve. Organic matter and ash contents indicated the influence of inorganic carbon due to the plastics' presence, with values varying between 6 and 13%. The pH values obtained were neutral and the electrical conductivity of the MSW rejects suggested a higher amount of ions, with values above 1000 µS/cm. Metals analyses show that Cd, Cu, Ni, Pb, and Zn are present in high concentrations, depending on the types of the materials. Standard Proctor compaction curves yielded maximum dry unit weight varying from 6.6 to 10.0 kN/m3 and optimum moisture contents from 20 to 42%. Cohesion ranged from 1.3 to 31.3 kPa and friction angle from 3.2 to 42.9°. The results are comparable with those obtained for other countries using different MSW treatments and contribute to the data basis for MSW from the selective collection, aiming the integrated solid waste management, serving for other countries that adopt MSW sorting and recycling.

Dataset for a full-year time series characterization of separately collected organic fraction of municipal solid waste from rural and urban regions in Germany.

In the municipal context and depending on the collection scheme, different waste streams are of relevance. This article contains year-round data on the chemical composition of organic fractions of municipal solid waste (OFMSW) of rural and urban origins. All samples were collected in the municipality of Tübingen, which is located in southern Germany. The sampling procedure was executed in accordance with standard procedures mentioned in the German Biowaste Ordinance. The data presented in this article include (1) sampling area and process specifications (2) organoleptic examinations (3) dry matter and organic dry matter contents (4) impurity concentrations and (5) elemental compositions (major, minor and trace elements). All datasets are presented as a time series for the year 2018. Thus, this article especially presents the influence of season and settlement structure on the physico-chemical characteristics of OFMSW. Researchers, waste management companies and municipalities can compare and expand their own OFMSW data with those presented in this article. The dataset can also be used to calculate energy yields of OFMSW when utilized in anaerobic digestion. Based on the data, it is also possible to discuss and to evaluate the material utilization of OFMSW-based digestates and compost products, especially with regard to concentrations of major, minor and trace elements. For further discussion, please refer to the original scientific article Sailer et al. (2021).

Prediction of organic matter accessibility and complexity in anaerobic digestates.

Further characterization to properly assess the fate of organic matter quality during anaerobic digestion and organic carbon mineralization in soils is required. Organic matter quality based on its accessibility and complexity was employed to successfully classify 28 substrate/digestate pairs through principal components and hierarchical clustering analysis. The two first components explained 58.02% of the variability and four main groups were separated according to the feedstock type. A decrease in the accessibility (16-66%) and an increase in the complexity (34-98%) of the most accessible fractions was noticed. Besides, an increase of non-biodegradable compounds (17-66%) was globally observed after anaerobic digestion. The observed trends in the conversion of organic matter during anaerobic digestion have allowed to fill the gap in the modeling of the anaerobic digestion process chain. Indeed, partial least squares regressions have accurately predicted the organic matter quality of digestates from their inputs (R2 = 0.831, Q2 = 0.593) although the digester operational conditions (temperature and hydraulic retention time) were non-explicative enough. As a novel approach, the predicted digestate quality was used to feed a partial least squares regression model previously developed to predict organic carbon mineralization in soil. The combined models have predicted experimental organic carbon mineralization in soil (R2 = 0.697) with a model quality similar to the model for organic carbon mineralization in soil (R2 = 0.894). This is the first study that has successfully conceived an additional step in the prediction of organic matter fate from raw substrate before anaerobic digestion to soil carbon mineralization.

Waste Mineral Wool and Its Opportunities-A Review.

Massive waste rock wool was generated globally and it caused substantial environmental issues such as landfill and leaching. However, reviews on the recyclability of waste rock wool are scarce. Therefore, this study presents an in-depth review of the characterization and potential usability of waste rock wool. Waste rock wool can be characterized based on its physical properties, chemical composition, and types of contaminants. The review showed that waste rock wool from the manufacturing process is more workable to be recycled for further application than the post-consumer due to its high purity. It also revealed that the pre-treatment method-comminution is vital for achieving mixture homogeneity and enhancing the properties of recycled products. The potential application of waste rock wool is reviewed with key results emphasized to demonstrate the practicality and commercial viability of each option. With a high content of chemically inert compounds such as silicon dioxide (SiO2), calcium oxide (CaO), and aluminum oxide (Al2O3) that improve fire resistance properties, waste rock wool is mainly repurposed as fillers in composite material for construction and building materials. Furthermore, waste rock wool is potentially utilized as an oil, water pollutant, and gas absorbent. To sum up, waste rock wool could be feasibly recycled as a composite material enhancer and utilized as an absorbent for a greener environment.

Characterization of the separately collected organic fraction of municipal solid waste (OFMSW) from rural and urban districts for a one-year period in Germany.

Knowledge on material properties is beneficial to fully exploit inherent utilization potentials of the organic fraction of municipal solid waste (OFMSW). The objective of this study was to analyze and compare the physico-chemical characteristics of separately collected OFMSW (biowaste bin) originating in southwestern Germany. Therefore, 22 rural and 20 urban OFMSW samples, each from the same location were analyzed in the course of one year. Next to the basic characteristics such as the impurity, dry matter (DM) and organic dry matter (oDM) contents, this study focused on the analysis of 37 major, minor and trace elements. In addition, stoichiometric CH4 potentials for the anaerobic digestion were calculated. The fresh mass (FM) based DM contents were significantly (p = 0.001) higher in rural OFMSW (32.86 ± 2.35% vs. 30.50 ± 1.75%) while the DM based oDM content was higher (p = 0.07) in urban OFMSW (84.59 ± 3.90% vs. 82.22 ± 4.16%). The impurities in rural OFMSW were significantly lower (2.83 ± 1.67% DM vs. 5.07 ± 2.71% DM with p = 0.004) while oDM based CH4 potentials were higher for urban OFMSW (533 ± 22 L/kg vs. 519 ± 26L/kg). For both OFMSW types, contents >1000 mg/kgDM were detected for Ca, K, Si, Na, Al, Fe, Mg, P and S while Ti, Mn, Ba, Zn, Sr, Cr, Cu, V, Ni, Li, Pb and B were measured between 1 and 1000 mg/kgDM. The determined element concentrations are useful for an improved classification of OFMSW as a biorefinery resource.

Improving anaerobic digestion mass balance calculations through stoichiometry and usual substrate characterization.

In recent years, anaerobic digestion (AD) of organic waste has raised as a winning strategy to produce energy and organic fertilizer. To optimize such a technology, mass balance is needed to model or simply monitor the process. This paper describes a theoretical framework allowing process indicators to be derived from estimates of organic waste elemental composition. Using a database of 128 typical feedstocks, semi-empirical equations are provided to estimate this elemental composition in case of a missing analysis. Then, a revised stoichiometric reaction of anaerobic digestion is proposed considering biomass yield and nitrogen. Biomass yield induces a more accurate estimation of the ammonia production and the volatile solids (VS) loss. The stoichiometric reaction allows the prediction of biogaz quality and mass loss and a correction factor for VS removal is proposed. The use of real case studies highlights the need to consider this correction (correction factor range: 1.01-1.2), especially for dry AD.

Household plastic waste habits and attitudes: A pilot study in the city of Valencia.

Bearing in mind that only 42% of plastic packaging post-consumer waste is recycled in Europe, the European Directive 2018/852 established the key target of a 55% plastic packaging waste recycling rate by 2030. For this reason, PlastiCircle, funded by the European Union's Horizon 2020 research and innovation program project, aims to foster the recycling of packaging, improve all stages of the waste collection, and promote responsible consumption. Three European cities have been selected as locations for pilot implementation: Valencia (Spain), Utrecht (The Netherlands) and Alba Iulia (Romania). The main objective of the present study has been to evaluate the participants' opinion and attitudes on plastic recycling. This paper presents the results from the district of San Marcelino in the city of Valencia, the first PlastiCircle pilot to face the challenges of encouraging households to participate more in plastic waste sorting and recycling.

Development of models for the prediction of energy content of fresh municipal solid waste from an unsecured landfill in India.

The enormous quantities of municipal solid waste (MSW) generation in Indian cities has emerged as a serious concern. In order to reduce the negative environmental impacts of MSW accumulation in dumpsites or unsecured landfills across India, various measures have been proposed to facilitate conversion of MSW into a valuable resource. One such measure is the immense potential for utilization of MSW as a source of energy. In this study, a comprehensive estimation of the energy potential of freshly dumped MSW has been conducted at a large unsecured landfill site in Okhla, Delhi, which is the capital city of India. Multiple regression models were developed to predict gross calorific value (GCV) and net calorific value (NCV) of MSW in terms of physical composition, proximate analysis and ultimate analysis of the waste. The developed models were found to give a reasonably good prediction of energy content of freshly dumped MSW in the landfill. Food waste, inerts, textile and paper were found to be the prime constituents of fresh MSW arriving at the landfill site. Based on the statistical analysis, volatile matter content and oxygen content of MSW were found to be non-significant terms in the energy content models derived using proximate analysis and ultimate analysis, respectively. The models developed in this study can be used to predict energy content of MSW at other landfill sites in India under similar climatic conditions and disposal practices.