Organic waste management (i.e. composting and anaerobic digestion) represent a key opportunity for achieving the reduction of short-lived climate pollutants from the municipal solid waste sector. Planning and developing such projects requires a detailed understanding of the costs involved in constructing and operating organic waste management facilities.

OrganEcs is a tool for estimating the costs associated with an organic waste management project. It provides planning-level assistance to local governments, waste professionals, policymakers, facility operators, and project developers to help them make financial decisions about their potential organic waste management projects.

OrganEcs was developed by the U.S. Environmental Protection Agency under the auspices of the Global Methane Initiative and in support of the Climate and Clean Air Coalition. 

The Landfill Gas Screening Tool’s goal is to assist cities in assessing the potential feasibility of a landfill gas energy (LFGE) project. It provides a preliminary estimate of how much landfill gas (LFG) a site could collect, and whether that fuel supply is likely sufficient to support a modest-sized LFGE project. LFGE project types include combusting LFG directly to produce heat (e.g., for industrial applications), using LFG to generate electricity, and - in some cases - converting LFG into a compressed natural gas (CNG) to fuel vehicles.

The Landfill Gas Screening Tool was developed by the U.S. Environmental Protection Agency in support of the Global Methane Initiative and the Climate and Clean Air Coalition.

The U.S. Environmental Protection Agency, on behalf of the Global Methane Initiative (GMI), developed the Anaerobic Digestion (AD) Screening Tool to assist stakeholders in assessing the potential feasibility of an AD project.

The AD Screening Tool enables users to conduct pre-feasibility analyses to evaluate AD opportunities for a variety of feedstocks, including organic municipal solid waste, livestock manure, agricultural residues, and wastewater. The tool generates the following outputs:

• Annual biogas and digestate production
• Project methane emission reductions
• Potential end uses of biogas, including estimates for electricity production, natural gas production, cooking gas potential, and home heating potential

This tool is intended to help project developers, government agencies, financial institutions, and other stakeholders conduct an initial screening assessment of the technical and financial feasibility of proposed AD projects.

Tutorials

Estimating Biogas Production

The Solid Waste Emissions Estimation Tool (SWEET) is an Excel-based tool that quantifies emissions of methane, black carbon, and other pollutants from sources in the municipal solid waste sector. The tool provides emissions and emissions reduction estimates at the project-, source-, and municipality-level. Cities can use this information for multiple purposes, including establishing a baseline scenario, comparing a baseline scenario to as many as four alternative scenarios, analyzing specific projects for potential emissions reductions, estimating the contribution of activities in the waste sector to overall city emissions reduction goals, and tracking progress over time, among other things.

SWEET was developed by the U.S. Environmental Protection Agency under the auspices of the Global Methane Initiative and in support of the Climate and Clean Air Coalition.

Testimonials

"SWEET can be considered a policy planning tool that requires less data input than the usual life cycle assessment-based tools."
World Health Organization

"If a city has overall emissions reductions goals, SWEET helps them better understand how investments in waste management in particular will contribute to those goals, which helps cities prioritize interventions and make financing decisions."
Climate and Clear Air Coalition Secretariat

"SWEET is, overall, an easy to use tool to estimate LFG emission of a waste management system. [...] In particular, it would be beneficial for municipalities in low and middle-income countries that want to communicate positive climate effects and have compelling arguments ready for relevant stakeholders before making the first steps of improving their waste management practices."
International Solid Waste Association

Trainings

General Information

Landfills and Dumpsites

Advanced Tips and Tricks

Training Modules

• Module 1 – Training Intro
• Module 2 – SWEET Quick Start
• Module 3 – SWEET Baseline
• Data Inputs Form - Self-paced SWEET Training Module 3

Case Studies

• Examining health and climate impacts of solid waste management in Accra, Ghana (PDF)
• Estimating short-lived climate pollutants from municipal solid waste in Tyre Caza, Lebanon (PDF)
• Scaling up organic waste management in Serbia’s South Backa Waste Management Region (PDF)

The U.S. Environmental Protection Agency on behalf of the Global Methane Initiative developed the Waste Characterization Handbook and accompanying Excel tool to help decision-makers and solid waste professionals plan and conduct waste characterization studies to understand the composition of waste streams. Waste characterization data can be used to inform improved waste management planning and implementation and measure methane mitigation from these strategies.

• The Waste Characterization Handbook provides information for city decision-makers and solid waste professionals to plan and conduct a waste characterization study. The handbook includes recommended activities and resources to help plan an appropriate type of study for specific site conditions; conduct field activities to collect the data; and analyze the data to help make informed solid waste planning decisions.
• The Waste Characterization Planning and Data Tool is an Excel-based tool that streamlines data entry and provides instant graphics to visualize the data entered during the study.

Resulting waste characterization data can be used in existing GMI tools to better understand organic waste management and methane mitigation options:

• Data on the average composition of collected waste (e.g., food waste, paper, cardboard, textiles, plastic) can be entered into the Solid Waste Emissions Estimation Tool (SWEET) to understand the emissions impacts of various management strategy and technology (e.g., composting, anaerobic digestion (AD), waste combustion, recycling).
• Data on specific organic waste types and quantities (e.g., mixed food waste, coffee grounds, bananas) can be entered into the Anaerobic Digestion (AD) Screening Tool to assess AD project feasibility. The AD Screening Tool outputs include annual biogas and digestate production, methane emissions reductions, and potential end uses of biogas.
• Data on the annual disposal rate (metric tons/year) of a city or community can be input into the Landfill Gas (LFG) Screening Tool. The tool provides an estimate of how much LFG can be collected at a dumpsite or landfill and provides initial recommendations on whether that fuel supply is likely sufficient to support a modest-sized LFG Energy (LFGE) project. LFGE project types include combusting LFG directly to produce heat (e.g., for industrial applications), using LFG to generate electricity, and - in some cases - converting LFG into compressed natural gas (CNG) to fuel vehicles.

A case study on Indore’s waste management keys to success: Indore, the largest city in the state of Madhya Pradesh, India, has consistently ranked the “cleanest city in India” since 2017. In October 2023, the U.S. Environmental Protection Agency, on behalf of the Global Methane Initiative, conducted a study tour of Indore that brought other waste management officials to learn about Indore’s improved waste management. This case study provides an overview of the factors that contributed to the successful transformation of Indore’s waste management system, including leadership buy-in, public engagement and participation, pilot testing, infrastructure upgrades, and innovative financing. It can serve as a model for cities around the world to improve solid waste management and reduce methane emissions and other climate pollutants.