Carbon Free Boston: Waste Technical Report

Part of a series of reports that includes: Carbon Free Boston: Summary Report; Carbon Free Boston: Social Equity Report; Carbon Free Boston: Technical Summary; Carbon Free Boston: Buildings Technical Report; Carbon Free Boston: Transportation Technical Report; Carbon Free Boston: Energy Technical Report; Carbon Free Boston: Offsets Technical Report; Available at http://sites.bu.edu/cfb/OVERVIEW: For many people, their most perceptible interaction with their environmental footprint is through the waste that they generate. On a daily basis people have numerous opportunities to decide whether to recycle, compost or throwaway. In many cases, such options may not be present or apparent. Even when such options are available, many lack the knowledge of how to correctly dispose of their waste, leading to contamination of valuable recycling or compost streams. Once collected, people give little thought to how their waste is treated. For Boston’s waste, plastic in the disposal stream acts becomes a fossil fuel used to generate electricity. Organics in the waste stream have the potential to be used to generate valuable renewable energy, while metals and electronics can be recycled to offset virgin materials. However, challenges in global recycling markets are burdening municipalities, which are experiencing higher costs to maintain their recycling. The disposal of solid waste and wastewater both account for a large and visible anthropogenic impact on human health and the environment. In terms of climate change, landfilling of solid waste and wastewater treatment generated emissions of 131.5 Mt CO2e in 2016 or about two percent of total United States GHG emissions that year. The combustion of solid waste contributed an additional 11.0 Mt CO2e, over half of which (5.9 Mt CO2e) is attributable to the combustion of plastic [1]. In Massachusetts, the GHG emissions from landfills (0.4 Mt CO2e), waste combustion (1.2 Mt CO2e), and wastewater (0.5 Mt CO2e) accounted for about 2.7 percent of the state’s gross GHG emissions in 2014 [2]. The City of Boston has begun exploring pathways to Zero Waste, a goal that seeks to systematically redesign our waste management system that can simultaneously lead to a drastic reduction in emissions from waste. The easiest way to achieve zero waste is to not generate it in the first place. This can start at the source with the decision whether or not to consume a product. This is the intent behind banning disposable items such as plastic bags that have more sustainable substitutes. When consumption occurs, products must be designed in such a way that their lifecycle impacts and waste footprint are considered. This includes making durable products, limiting the use of packaging or using organic packaging materials, taking back goods at the end of their life, and designing products to ensure compatibility with recycling systems. When reducing waste is unavoidable, efforts to increase recycling and organics diversion becomes essential for achieving zero waste. [TRUNCATED]Published versio

Municipal solid waste management system: decision support through systems analysis

Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental EngineeringThe present study intends to show the development of systems analysis model applied to solid waste management system, applied into AMARSUL, a solid waste management system responsible for the management of municipal solid waste produced in Setúbal peninsula, Portugal. The model developed intended to promote sustainable decision making, covering the four columns: technical, environmental, economic and social aspects. To develop the model an intensive literature review have been conducted. To simplify the discussion, the spectrum of these systems engineering models and system assessment tools was divided into two broadly-based domains associated with fourteen categories although some of them may be intertwined with each other. The first domain comprises systems engineering models including cost-benefit analysis, forecasting analysis, simulation analysis, optimization analysis, and integrated modeling system whereas the second domain introduces system assessment tools including management information systems, scenario development, material flow analysis, life cycle assessment (LCA), risk assessment, environmental impact assessment, strategic environmental assessment, socio-economic assessment, and sustainable assessment. The literature performed have indicated that sustainable assessment models have been one of the most applied into solid waste management, being methods like LCA and optimization modeling (including multicriteria decision making(MCDM)) also important systems analysis methods. These were the methods (LCA and MCDM) applied to compose the system analysis model for solid waste. The life cycle assessment have been conducted based on ISO 14040 family of norms; for multicriteria decision making there is no procedure neither guidelines, being applied analytic hierarchy process (AHP) based Fuzzy Interval technique for order performance by similarity to ideal solution (TOPSIS). Multicriteria decision making have included several data from life cycle assessment to construct environmental, social and technical attributes, plus economic criteria obtained from collected data from stakeholders involved in the study. The results have shown that solutions including anaerobic digestion in mechanical biological treatment plant plus anaerobic digestion of biodegradable municipal waste from source separation, with energetic recovery of refuse derived fuel (RDF) and promoting pays-as-you-throw instrument to promote recycling targets compliance would be the best solutions to implement in AMARSUL system. The direct burning of high calorific fraction instead of RDF has not been advantageous considering all criteria, however, during LCA, the results were the reversal. Also it refers that aerobic mechanical biological treatment should be closed.Fundação para a Ciência e Tecnologia - SFRH/BD/27402/200

Life Cycle Inventory (LCI) Modeling of Municipal Solid Waste (MSW) Management Systems in Kosodrza, Community of Ostrów, Poland: A Case Study

The purpose of this study is to perform the life cycle assessment (LCA) limited to life cycle inventory (LCI) related to municipal solid waste operating in Kosodrza, community of Ostrów, in Poland. The current LCI is a representative for year 2015 by application of PN-EN ISO 14040. The system boundary was labeled as gate-to-gate. The data used in this study, involving consumption of energy and fuels, water, materials, and waste, is obtained from (i) site-specific measured or calculated data and (ii) secondary data taken from integrated permit issued by Marshal of the Podkarpackie region in Rzeszów for the establishment of municipal services in Ostrów by entering the records concerning the waste landfill in Kosodrza. This study is based on the deterministic approach to LCI. Hence, uncertainty analysis is not carried out. The LCI model can be used in full LCA study

Greenhouse gas emissions from waste management—assessment of quantification methods

Of the many sources of urban greenhouse gas (GHG) emissions, solid waste is the only one for which management decisions are undertaken primarily by municipal governments themselves and is hence often the largest component of cities’ corporate inventories. It is essential that decision-makers select an appropriate quantification methodology and have an appreciation of methodological strengths and shortcomings. This work compares four different waste emissions quantification methods, including Intergovernmental Panel on Climate Change (IPCC) 1996 guidelines, IPCC 2006 guidelines, U.S. Environmental Protection Agency (EPA) Waste Reduction Model (WARM), and the Federation of Canadian Municipalities- Partners for Climate Protection (FCM-PCP) quantification tool. Waste disposal data for the greater Toronto area (GTA) in 2005 are used for all methodologies; treatment options (including landfill, incineration, compost, and anaerobic digestion) are examined where available in methodologies. Landfill was shown to be the greatest source of GHG emissions, contributing more than three-quarters of total emissions associated with waste management. Results from the different landfill gas (LFG) quantification approaches ranged from an emissions source of 557 kt carbon dioxide equivalents (CO2e) (FCM-PCP) to a carbon sink of −53 kt CO2e (EPA WARM). Similar values were obtained between IPCC approaches. The IPCC 2006 method was found to be more appropriate for inventorying applications because it uses a waste-in-place (WIP) approach, rather than a methane commitment (MC) approach, despite perceived onerous data requirements for WIP. MC approaches were found to be useful from a planning standpoint; however, uncertainty associated with their projections of future parameter values limits their applicability for GHG inventorying. MC and WIP methods provided similar results in this case study; however, this is case specific because of similarity in assumptions of present and future landfill parameters and quantities of annual waste deposited in recent years being relatively consistent

A life cycle optimization framework for the sustainable design of circular municipal solid waste management systems

RESUMEN: Los objetivos de esta tesis son desarrollar un marco metodológico para determinar la configuración óptima de los sistemas integrados de gestión de residuos bajo una perspectiva del ciclo de vida, e investigar si la economía circular contribuye a la reducción del consumo de recursos y los impactos ambientales y al crecimiento económico. El marco metodológico propuesto se aplicó a la gestión de residuos municipales orgánicos en la Comunidad Autónoma de Cantabria. El modelo del sistema se construyó combinando análisis de flujo de materiales y análisis de ciclo de vida (ambiental y económico). Se formuló un problema de optimización multi-objetivo para maximizar la circularidad de los nutrientes y minimizar el uso de recursos, los impactos ambientales y los costes de gestión de residuos. Los resultados sugieren que mejorar la circularidad de los recursos no implica necesariamente una reducción de costes, del consumo de recursos o de la emisión de cargas ambientales.ABSTRACT: The objectives of this dissertation are twofold: to develop a methodological framework to select the optimal configuration of integrated waste management systems under a life cycle perspective, and to investigate whether adopting a circular economy is an effective measure to attain increased economic benefits and a reduction in resource consumption and environmental impacts. The proposed framework – based the expansion of the boundaries of linear waste management systems – was applied to the management of municipal organic waste in the Spanish region of Cantabria. The system model was constructed combining material flow analysis, life cycle assessment and life cycle costing tools. A multi-objective optimization problem was formulated to maximize nutrient circularity and minimize resource use, environmental impacts and waste management costs. The results suggest that improving resource circularity can lead to increased costs and does not necessarily entail a decrease in the consumption of natural resources or the emission of environmental burdens.The author has been the recipient of two predoctoral fellowships granted by the University of Cantabria and the Spanish Ministry of Education (code FPU 15/01771). Her visit to NCSU was funded by a predoctoral mobility scholarship awarded by the University of Cantabria and by the research project CTQ2016-76231-C2-1-R, whereas her research at Cornell University was sponsored by the FPU program (code EST18/00007). She gratefully acknowledges this financial support

End-of-life in South African product life cycle assessment

Life cycle assessment (LCA) is a tool specifically developed for quantifying and assessing the environmental burden of a product across its entire life cycle, thus providing powerful support for sustainable product design. There exists a geographical imbalance in the adoption and distribution of LCA studies, with a notably poor penetration into developing countries, resulting from a lack of technical expertise, reliable data, and an inability to engage with the key issues of developing countries. These challenges are particularly prevalent in waste management. The limitations in current LCA capacity for representing product end-of-life, coupled to the disparity in waste management practices between developed and developing countries means that LCA is currently unable to accurately model product end-of-life in South Africa. This means that, for imported products designed on the basis of LCA, the upstream impacts may be accurate, while the end-of-life is not. Therefore, to improve the use of LCA as a tool to support sustainable product design, there is a need to develop life cycle datasets and methods that accurately reflect the realities of waste management in developing countries. The objectives of this dissertation are to (i) identify the current shortcomings of existing LCA datasets in representing the end-of-life stage of general waste in a South African context, and (ii) propose modifications to existing datasets to better reflect the realities of waste management in a South African context and extract lessons from this for use elsewhere. To meet these objectives, research was undertaken in three main stages, with the outcome of each stage used to inform the development of each subsequent stage. The first stage aimed to establish the status quo with regards to general waste management in South Africa. This investigation was informed through a desktop review of government and other publicly available reports, supplemented by field work and stakeholder engagements. These results formed the basis for the second stage: a review of LCA capacity for representing product end-of-life in the South African context. The review of datasets was limited to those contained within SimaPro v8.3 and was undertaken with the aim of understanding the extent to which current datasets are capable of representing South African waste management practices. Finally, three cases of existing LCA datasets were explored. This included testing modifications that could be made in an attempt to improve their applicability to the South African reality. In South Africa, a major limitation in developing a quantified mapping of waste flows lies in the paucity of reliable waste data and the exclusion of the contribution of the informal sector in existing waste data repositories. It was estimated that South Africa generates approximately 12.7 million tonnes of domestic waste per annum, of which an estimated 29% is not collected or treated via formal management options. For both formal and informal general waste, disposal to land (landfill and dumping) represents the most utilised waste management option. Landfill conditions in South Africa range from well-managed sanitary landfills to open dumps. Considering only licensed landfill facilities, it is estimated that large and medium landfill sites accept the majority of South Africa’s general waste (54% and 31% respectively), while the balance is managed in small (12%) and communal (3%) sites. Considering the quantity of informal domestic waste enables a crude estimation of household waste distribution between different landfill classes. In this instance, while the majority of waste (40%) is still managed in large formal landfill sites, an appreciable quantity (26%) is managed in private dumps. Within SimaPro v8.3 landfill disposal is best represented by the sanitary landfill datasets contained within the ecoinvent v3.3 database. SimaPro preserves the modular construction of the ecoinvent dataset, meaning that various generic modifications to these datasets can be made, such as the elimination or addition of burdens, redefinition of the value of a burden, or substitution of a linked dataset. Practically, such modifications are limited to process-specific burdens. However, wastespecific burdens are of greater significance in the life cycle impact assessment (LCIA) result of a landfill process. Waste-specific emissions are generated using the underlying ecoinvent landfill emission model. The current model structure allows for the parametrisation of waste composition in addition to landfill gas (LFG) capture and utilisation efficiencies. However, besides the incorporation of a methane correction factor to account for the effect that various site conditions have on the waste degradation environment, the extent to which the existing model can be adapted to represent alternative landfill conditions is limited. This is particularly true in the case of leachate generation and release. Although adaptation that incorporates the effect of climatic conditions on waste degradability and emission release is possible, this requires a high level of country-specific data and modelling expertise. Thus, the practicality of such a modification within the skills set of most LCA practitioners is questionable. Further limitations in the existing modelling framework include its inability to quantify the potential impacts of practices characteristic of unmanaged sites such as open-burning, waste scavenging, and the presence of vermin and other animal vectors for disease. Analysis of the LCIA results for different landfill scenarios showed that regardless of either the deposited material or the specific landfill conditions modelled, the time frame considered had the most pronounced effect on the normalised potential impacts. Regardless of landfill conditions, when long-term leachate emissions are considered, freshwater and marine ecotoxicity impacts dominate the overall potential impacts of the site. This result implies that if landfill disposal is modelled over the long-term, the potential impacts of the process has less to do with site-specific conditions than it does to do with the intrinsic properties of the material itself. Given the ensuing extent of degradation that occurs over the time frame considered, the practise of very long-term modelling can equalise landfills that differ strongly in the short-term. In terms of product design on the basis of LCA, the choice of material can be more strongly influenced by the time frame considered than the specific landfill scenario. From a short-term perspective, for fast degrading materials the impacts incurred from leachate emissions and their subsequent treatment are of lesser importance than those arising from LFG. From a long-term perspective by contrast, leachate emissions have a significant effect on the LCIA result. Investigation into the effect of reduced precipitation on the LCIA result showed that the exclusion of leachate emissions lowers the potential impacts of a number of impact categories, with the most substantial quantified reduction observed in the freshwater and marine ecotoxicity impact categories. This result implies that for dry climates, the long-term impacts of landfilling could be significantly lower than when compared to landfill under temperate conditions, with the potential impacts of the waste remaining locked-up in the landfill. Given quantified findings on South Africa’s dependence on both formal and informal disposal, and the variation in landfill conditions across the country, it can be concluded that LCA results for the impacts of products originating from global supply chains, but consumed and disposed of in South Africa, will be inaccurate for the end-of-life stage if modifications to end-of-life modelling are not made. The findings from this dissertation provide the basis for i) a crude estimate of ‘market shares’ of different disposal practises and ii) guidelines for parameterisation of material specific emission factors, in particular for shorter term emissions, focused on LFG and leachate emissions