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The document outlines the data sources, classification systems, and analytical principles used by the International Renewable Energy Agency (IRENA) and Climate Policy Initiative (CPI) to track renewable energy finance. It defines the scope of investors, financial instruments, and technologies analyzed, while distinguishing between power generation and end-use applications. It also specifies the methodology for tracking off-grid investments in emerging and developing countries and explains the distinction between 'energy transition investments' and 'climate finance'.

Ember employs a scoring system from 0 to 6 to assess the reliability of country-level coal mine methane (CMM) emissions reporting. The score is derived from three categories: the recency of UNFCCC reporting, the similarity of reported data to independent estimates from the IEA, GEM, and satellite observations, and the robustness of the estimation methods (UNFCCC tiers). The methodology includes specific adjustments for countries with significant changes in coal production, low-emitting countries, and the proportion of surface versus underground mining.

The document details the definitions, data sources, and analytical frameworks used to assess global forest loss, degradation, and restoration. It establishes a 'gross zero' deforestation benchmark for 2030, utilizing a linear reduction pathway from a 2018-2020 baseline. The annexes include a detailed regional aggregation based on UN geoscheme designations and a data table comparing 2022 deforestation levels across 30 high-impact countries against their interim targets.

The appendix describes the technical process for estimating the 'government plans and projections' (GPP) pathway using data from 19 major producer countries and deriving climate-consistent pathways from IPCC AR6 mitigation scenarios. It outlines the conversion of physical production data into energy and extraction-based GHG emission units and explains the scenario-filtering process used to exclude pathways with unrealistic reliance on carbon dioxide removal (CDR) and carbon capture and storage (CCS). Additionally, it compares the 2023 findings with the 2021 assessment, noting a widening production gap for coal by 2030.

The report details the methodology of the Klimatkalkylatorn version 2.0, which calculates individual carbon footprints based on four consumption areas: housing, food, transport, and shopping. It utilizes 2019 data from Statistics Sweden (SCB) and other sources to assign emission factors to spending and usage patterns. The tool incorporates Global Warming Potential (GWP) over 100 years for CO2, methane, and nitrous oxide, and compares individual results against Swedish and global averages, as well as a 2030 target of 4 tonnes of CO2e per person.

The document outlines the methodology for calculating the amount of fossil fuels displaced by solar energy and the associated avoided costs. It describes the use of Ember's electricity datasets, IEA thermal efficiency and calorific value data, and UN Comtrade trade data to build linear regression models for fuel pricing. The analysis assumes solar replaces the cheapest fossil fuel generation in each country, with a specific exception for Indonesia where oil is replaced first.

The document details the criteria and multi-step screening process for the CBI Green Bond Database, emphasizing self-labeling, public disclosure, and alignment with the Climate Bonds Taxonomy and Sector Criteria. It defines eligible assets across energy, transport, water, waste, land use, and industry, while explicitly excluding fossil fuel-related activities. The methodology also addresses the treatment of adaptation and resilience measures, R&D expenditures, and the relationship between the database and the formal CBI Certification Scheme.

The methodology brief describes a framework for tracking public financial institutions' climate commitments, categorizing them into targets and pledges (such as Paris-aligned, net zero, and exclusion policies) and institutional strategies. It details a data collection process involving automated scraping of institutional websites, news articles, and the analysis of over 120 sustainability and annual reports for 70 entities representing USD 20.4 trillion in assets.

The methodology for the Landscape of Climate Finance in Africa 2022 defines the scope, terminology, and data treatment used to capture climate finance flows across the continent. It utilizes a combination of public and proprietary data from sources such as BNEF, OECD, and the Climate Bonds Initiative, focusing on mitigation, adaptation, and dual-benefit finance. The document details sector classifications—ranging from energy systems to agriculture—and regional groupings based on UN standards. It also identifies significant data gaps, including the difficulty of tracking domestic budget expenditures, private sector investments in adaptation, and the lack of official reporting on Chinese investments in Africa.

The Climate Bonds Initiative (CBI) established the Social and Sustainability Bond Database (SSBDB) to provide transparency on global social and sustainability debt. The methodology employs a three-step screening process—identification, use of proceeds (UoP) analysis, and SDG mapping—to determine eligibility. To be included, instruments must be self-labelled by the issuer, provide sufficient public disclosure, and not breach minimum climate safeguards. The SSBDB covers social bonds, sustainability bonds, and sustainability-linked bonds (SLBs), with some instruments appearing in both the SSBDB and the Green Bond Database if they meet the requirements of both.

The report details a comprehensive methodology for mapping green finance in India, focusing on mitigation activities across clean energy, energy efficiency, and clean transportation. It defines a taxonomy for green finance, identifies diverse data sources—including government budgets, OECD reports, and PSU financial statements—and establishes accounting principles to prevent double counting. The methodology employs specific proxy calculations for sectors like electric vehicles and rooftop solar, while utilizing a standard 70:30 debt-to-equity gearing ratio where specific project data is unavailable.

The International Institute for Sustainable Development (IISD) developed a mapping framework and findings template to evaluate VLRs. The methodology is based on UN DESA's Global Guiding Elements and adapted to include Canadian-specific priorities, such as the Truth and Reconciliation Commission Calls to Action and OCAP principles. The framework consists of 11 categories and 101 sub-components. Pilot applications to VLRs from Kelowna, Winnipeg, Espoo, and Malmö indicate that while Canadian cities are making strides in reporting on Indigenous populations, there are significant gaps in disaggregated data and the description of specific local-level efforts to 'leave no one behind'.

The report outlines how Ember updated its 2020 NECP assessment by incorporating policy changes announced between 2020 and 2022, including coal phase-outs and clean power commitments. It details the transformation of capacity targets into generation figures, the assumption that renewables replace fossil fuels (with specific exceptions for nuclear in Hungary), and the treatment of overproduction in countries like Denmark and France. The analysis identifies 19 governments that updated their renewables expansion or fossil fuel phase-out ambitions beyond their original National Energy and Climate Plans.

The document describes a methodology for assessing the economic viability of gas-fired power plants in MISO and SPP during 2019. By comparing day-ahead market revenues against fuel and variable operating expenses, the authors calculated hourly cash flows for 436 facilities. The process involved converting EPA gross generation data to net generation, mapping plants to the nearest market pricing nodes, and utilizing S&P Global data for fuel costs and variable operations and maintenance (O&M) expenses.

The document outlines the technical framework for analyzing a transition to 100% renewable energy in U.S. Climate Alliance states. It describes the use of the Regional Energy Deployment System (ReEDS) and Distributed Generation Market Demand (dGen) models to simulate various policy scenarios, including a '100% RES scenario' and a 'Clean Electricity Standard scenario'. The methodology includes specific retirement schedules for coal plants in Michigan and Minnesota, as well as a collaboration with Greenlink Analytics to model socioeconomic impacts, including public health benefits, macroeconomic shifts in employment and GDP, and changes to household energy burdens.

The methodology evaluates carbon credits across seven quality objectives: robust GHG impact determination, avoidance of double counting, addressing non-permanence, facilitating the transition to net zero, institutional arrangements of the crediting program, environmental and social impacts, and host country ambition. It employs a standardized scoring system (1-5) using point systems and 'inverse weighing' to ensure that a low score in one critical criterion cannot be offset by high scores in others. The guide focuses on ex-post credits and provides detailed indicators for assessing additionality, vulnerability in collapsed markets, and the alignment of credits with the Paris Agreement's Article 6 and Nationally Determined Contributions (NDCs).

The Bioplastic Feedstock Alliance (BFA) methodology establishes a two-tier screening process—Executive Level and Survey Level—to evaluate biobased plastic feedstocks across 13 environmental and social indicators. The tool aims to decouple plastic production from fossil fuels while mitigating risks related to biodiversity loss, food security, and human rights. It emphasizes regional specificity, climate resilience, and the use of science-based indicators to identify trade-offs and mitigation strategies for both traditional agricultural and novel feedstocks.

The European Electricity Review 2022 methodology outlines how Ember aggregates electricity data for 32 countries. It uses Eurostat for historical data up to 2019 and primarily the ENTSO-E transparency platform for more recent monthly generation data, with specific national sources used to correct known inaccuracies in countries like Italy, Finland, and the Netherlands. Generation capacity is sourced from IRENA for renewables and nuclear, and Global Energy Monitor for coal and gas. Carbon intensity for the EU power sector is calculated using European Environment Agency and Eurostat data for 2000-2019, with 2020 and 2021 estimates based on standard emissions factors for hard coal, lignite, fossil gas, and other fossil fuels.

The methodology identifies four risk profiles based on income and electricity access: rural poor, urban poor, lower-middle income, and middle-income. It utilizes three forecasting scenarios—Current trends, SDG7.1 (universal electricity access), and a combined SDG7.1 and SDG1.1 (universal electricity and extreme poverty reduction to 3% or less)—to analyze vulnerability to heat. The analysis covers 54 high-impact countries and 22 additional countries with extreme heat hazards, incorporating data on population growth, urbanization, and informal settlements.

The document outlines the policy tracking approach used in the Chilling Prospects series to assess sustainable cooling progress in the 'Critical 9' countries. It details the goals of this tracking, the specific policy areas assessed, and the data sources used to evaluate regulatory, information, and incentive policies across various cooling technologies and needs.