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The document outlines Ember's methodology for extracting and normalizing data from EU National Energy and Climate Plans (NECPs). It specifies the preference for 'with additional measures' (WAM) projections for electricity data, the conversion of energy units (1 mtoe = 11.63 TWh), and the mapping of greenhouse gas emissions and final energy demand from EEA and Eurostat datasets to align with UNFCCC and 'Fit for 55' standards.

The document outlines Ember's methodology for assembling electricity data for 215 countries. It describes the use of multiple sources—including Eurostat, ENTSO-E, the Energy Institute, and the U.S. Energy Information Administration—to reconcile annual and monthly time series. The guide explains how Ember handles data gaps through ARIMA-based projections, disaggregates thermal generation using IEA and EI ratios, and calculates lifecycle emissions using IPCC and UNECE factors. It also provides a comprehensive country-by-country breakdown of the specific sources and adjustments applied to each national dataset.

The document provides the technical annexes for the Forest Declaration Assessment, detailing the definitions and methodologies used to measure deforestation, forest degradation, and restoration potential. It establishes a 'gross zero' deforestation benchmark for 2030, requiring a linear 10 percent annual reduction in loss relative to a 2018-2020 baseline. The methodology incorporates satellite data and econometric models to estimate GHG emissions from forest loss and identifies 'cost-effective' restoration potential based on a carbon price threshold of USD 100/tCO2eq. A provided table lists the 30 countries with the highest absolute levels of deforestation in 2021, showing varied trends such as a 3% increase in Brazil and a 25% decrease in Indonesia compared to the baseline.

The document serves as a comprehensive guide for the International Institute for Justice and the Rule of Law to develop its training curricula. It emphasizes the critical role of policymakers and senior officials in driving institutional change and provides a step-by-step methodology for capacity building, including needs assessments and participant selection. Additionally, it advocates for the use of immersive, simulation-based training to recreate the complexity of real-life criminal justice incidents, specifically in the context of counterterrorism.

The scoring methodology is divided into three categories totaling 100 points: Policy Commitment (38 points), Monitoring & Verification of Compliance (44 points), and Public Disclosure & Reporting (18 points). It assesses whether companies have specific policies to eliminate deforestation and conversion in beef production, implement rigorous supplier monitoring systems, and provide transparent public reporting on supply chain traceability and risk assessments. The framework heavily references the Accountability Framework Initiative's operational guidance for defining environmental protections, human rights, and monitoring standards.

The document outlines the process of creating community protocols—codified rules and procedures based on customary law—to help communities manage interactions with external parties like governments and investors. It details the role of facilitators, the common elements of a protocol (such as identity, values, and governance), and strategies for using these documents for advocacy, negotiation, and conflict resolution. A significant focus is placed on ensuring Free, Prior and Informed Consent (FPIC) and challenging top-down impact assessments through community-led evidence.

The Community Protocols Toolbox is a guide designed for NGOs and civil society to support local communities in documenting their identity, customary laws, and development priorities. It emphasizes a participatory, community-led process to enable meaningful engagement and free, prior and informed consent (FPIC) when facing industrial investment projects. The toolbox includes practical methodologies—textual, visual, verbal, and dramatic—to map territories, analyze power dynamics, and navigate legal landscapes across national and international frameworks.

The WARICC codebook details the construction of a dataset designed to analyze the frequency and intensity of domestic water-related conflict and cooperation. Using BBC Monitoring as its primary source, the project employs an 11-point Water-Events Scale (WES) to categorize events from substantial national improvements (+5) to overt physical violence or national deterioration (-5). The methodology addresses potential data biases related to urban areas, regime types, and extreme events, while providing a comprehensive system of country and actor codes for standardized reporting.

The methodology focuses on five key indicators to evaluate the climate credibility of European oil and gas majors: alignment of decarbonization targets with a 1.5°C carbon budget, reliance on offset mechanisms, asset expansion plans, trends in oil and gas production growth, and the forecasted energy mix for 2030. The analysis employs conservative hypotheses, assuming companies will meet their pledged targets and maintain current market shares in line with the IEA Net Zero scenario to establish a 'low-estimate' of cumulative emissions.

The document outlines the technical framework for RMI's State Clean Energy Eco graphics, which project the scale of energy transformation required for the US to reach net zero emissions by 2050. It details the use of the Princeton Net Zero America (NZA) project as the primary data source, supplemented by the Energy Policy Simulator (EPS), NREL Cambium scenarios, and population projections. The methodology covers specific metrics across electricity, industry, transportation, buildings, and human impact, including a detailed approach for downscaling potential federal investments from the Inflation Reduction Act (IRA) to the state level. To account for uncertainty in 2050 projections, metrics are generally rounded to one significant figure.

The document details the data sources and specific capacity estimates used by RMI for energy efficiency, virtual power plants, grid enhancing technologies, and clean repowering. It highlights a projected 53GW reduction from energy efficiency and 60GW of dispatchable capacity from flexible loads and storage by 2030, while adopting a conservative 20GW estimate for grid enhancing technologies and 14GW for clean repowering via generator replacement.

The document details the methodology and assumptions for a comparative analysis of heat pumps versus delivered fuels in US homes. It specifies the use of 2020 EIA RECS microdata for building archetypes, 2024 state-average energy prices, and specific efficiency ratings (HSPF2, SEER2, and UEF) for air source heat pumps (ASHP) and heat pump water heaters (HPWH) across different climate zones. Hourly energy load profiles were sourced from NREL's ResStock, with ASHP performance curves based on TMY3 temperature data and the Northeast Energy Efficiency Partnerships' database.

The analysis employs RMI's Energy Policy Simulator (EPS) and Smarter MODES tools to model the impact of three specific policy interventions in Illinois: electric vehicle sales standards, GHG planning in infrastructure, and increased transit investment. The EPS model assumes the adoption of Advanced Clean Cars 2 and Advanced Clean Trucks starting in 2029, targeting 100% zero-emission passenger cars and SUVs, 58% of commercial trucks, and 33% of buses by 2035. Simultaneously, the Smarter MODES calculator models a 20% per capita reduction in vehicle miles traveled (VMT) by 2050 compared to 2019 levels, alongside an 80% electric light-duty vehicle stock by 2050.

The document outlines a methodology for estimating GHG emissions reductions achievable through land use reform in the US. It projects that over 13 million new housing units will be needed by 2033 to address population growth and existing shortages. By comparing a 'business as usual' scenario with a 'low VMT' scenario—where 90% of new housing is placed in the 90th percentile lowest VMT areas of each state—the analysis calculates potential savings in direct tailpipe emissions, vehicle lifecycle emissions, and indirect emissions from building energy, embodied carbon, and the loss of natural land carbon sinks.

The document describes a methodology for downscaling national Inflation Reduction Act (IRA) funding and co-benefits to the US state level. For tax credits, RMI uses 'Climate-Aligned Targets' based on the Net Zero America study and RMI State Scorecards to estimate potential investment in electric vehicles, renewable energy, heat pumps, and carbon sequestration. For non-tax credit funding (rebates, grants, loans), the analysis downscales Congressional Budget Office (CBO) estimates using state-specific metrics such as methane emissions, fuel consumption, or population. Public health and jobs benefits are downscaled from Energy Innovation's national modeling based on state population relative to the United States.

The document details the analytical approach used to estimate up to $91 billion in savings for Minnesota by comparing 'business-as-usual' transportation scenarios against targets for VMT reduction and net-zero emissions. It describes the monetization of avoided crash fatalities, air quality improvements, fuel and operating costs, and the social cost of carbon.

The document describes a framework for calculating residential utility bills by combining NREL ResStock building load data with electric and gas tariff data from Genability and RateAcuity. It details specific adjustments made to tariffs for Xcel Energy (Minnesota), Pepco (Maryland), Central Maine Power (Maine), and Eversource Energy (Massachusetts) to ensure analytical consistency. The analysis specifically models upgrades to high-efficiency cold-climate air-to-air heat pumps and evaluates the impact of 'electrification-friendly' rate designs on customer costs.

The Reinventing Fire industry model uses a stock-flow framework and EIA Annual Energy Outlook 2010 data to simulate the adoption of energy-saving measures in the U.S. industrial sector from 2010 to 2050. It tracks energy consumption, fuel expenditures, and capital investment across various manufacturing and non-manufacturing industries. The model incorporates efficient technologies, combined heat and power (CHP), waste-heat-to-electricity, and integrative design for machine drives, while accounting for refining transformations as demand shifts toward biofuels and hydrogen.

The document describes the use of NREL's Regional Energy Deployment System (ReEDS) and RMI's internal dispatch model to evaluate the technical feasibility and cost of four electricity scenarios: Maintain, Migrate, Renew, and Transform. It outlines spatial and temporal resolutions, generation cost assumptions based on learning curve theory, and specific modifications made to approximate distributed energy resources in the Transform case.

The document details a bottom-up methodology for sizing global energy waste using 2019 IEA World Energy Balance data and IIASA's PFUDB dataset. It estimates that of $12 trillion in gross global energy spending, approximately $4.6 trillion (40%) is spent on fuels that are wasted before becoming useful energy. The authors note that while the second law of thermodynamics prevents total elimination of waste, this $4.6 trillion figure represents a significant upper bound for efficiency opportunities.