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The report details the use of the North American TIMES Energy Model (NATEM) to identify the most cost-effective technology combinations for decarbonizing Canada's building sector. It establishes a core 'Optimal NZ50' scenario targeting 440 Mt of emissions in 2030 and 10 Mt by 2050, while outlining seven sensitivity analyses covering heat pump costs, retrofit levels, and hydrogen integration. The modelling accounts for regional differences across 13 jurisdictions, incorporating detailed load curves, climate change temperature forecasts, and a comprehensive database of over 7,000 technologies.

The document outlines the history, current state, and future challenges of the Russian coal sector, highlighting its economic significance and climate impact. It details a research project aimed at exploring just transition pathways for coal regions in the context of the Paris Agreement and shifting global demand. Key data points include coal's 17.5% share of Russia's domestic electricity generation at the end of 2019 and the sector's 22% contribution to Russia's total greenhouse gas emissions in 2018.

Ghana faces a significant climate finance gap, with an annual average of USD 830 million tracked in 2019 and 2020, representing only 5-9% of its estimated needs of USD 9.3-15.5 billion. Public finance dominates at 87% of total flows, while private finance accounts for only 13%, heavily concentrated in energy systems. Funding is split nearly equally between adaptation (49%) and mitigation (47%), with the agriculture, forestry, and land use (AFOLU) and energy sectors receiving the most investment. The brief recommends implementing a national climate finance taxonomy, deploying innovative instruments like green bonds and blended finance, and improving the granularity of tracking to attract more private capital.

The document outlines the structure and access requirements for the Climate TRACE public dataset on Google BigQuery, including a detailed data catalog of emissions, metadata, and sector-specific tables. It provides step-by-step instructions for querying the data, managing permissions, and exporting results via CSV, JSON, or Parquet formats, while noting that query costs are borne by the user.

The STARRS pilot project, initiated by Climate Group and Climate TRACE, demonstrates how satellite imagery and artificial intelligence can provide timely, granular greenhouse gas (GHG) emissions data for subnational governments. By tracking six pilot regions—Abruzzo (Italy), Basque Country (Spain), Jalisco (Mexico), Querétaro (Mexico), Pernambuco (Brazil), and Western Cape (South Africa)—the project addressed common barriers to emissions accounting, such as high costs and long timeframes associated with traditional bottom-up methods. The project provided historical data from 2015 to 2021 across sectors including electricity, heavy industry, and road transport, while also mapping biomass changes. Findings for the pilot regions highlighted specific emission drivers, such as the dominance of the Bilbao Refinery in the Basque Country's oil and gas sector and the significant impact of feedlots in Jalisco and Western Cape.

The provided text is a bibliography or reference list for a fact sheet on climate jobs. It cites 15 sources, including reports from the U.S. Department of Energy, the U.S. Bureau of Labor Statistics, and the Inflation Reduction Act (IRA) reviews by Environmental Entrepreneurs, focusing on clean energy employment, transportation, and adaptation jobs.

The 2026 Global Electricity Review reports that in 2025, clean energy growth—driven primarily by solar power—met 100% of new global electricity demand, resulting in the first year since 2020 where fossil fuel generation did not increase. For the first time in the modern era, renewables exceeded coal, accounting for over one-third of global electricity generation. This shift was significantly influenced by declines in fossil fuel generation in China and India, both of which saw decreases in 2025. Solar energy's growth was 18 times greater than that of gas, and the deployment of battery storage is increasingly supporting the transition to 24/7 clean power, with countries like Chile and Australia leading in grid-scale storage.

The Ember Subnational Data Methodology describes the data sources and calculation methods for electricity metrics across 36 states/union territories in India and 50 states in the US. It details the mapping of nine fuel types and the application of IPCC 5th Assessment Report emissions factors to determine carbon intensity, while noting caveats regarding fuel quality, methane potency, and plant efficiency.

The document outlines the technical processes Ember uses to assemble electricity data for 215 countries from 2000 to 2021. It describes the use of multiple sources—including the EIA, Eurostat, and IRENA—to reconcile annual and monthly data, disaggregate thermal generation, and estimate emissions using IPCC factors. The guide also provides a detailed country-by-country breakdown of the specific sources and adjustments applied to each territory's data.

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.

In 2021, wind and solar power reached a record 10.3% of global electricity generation, with solar growing by 23% and wind by 14%. However, a massive surge in global electricity demand—the highest absolute increase ever recorded at 1,414 TWh—outpaced clean energy growth. Consequently, coal generation hit a new historical peak of 10,042 TWh, accounting for 36% of global electricity and driving power sector CO2 emissions to a record 778 million tonnes, a 7% increase over 2020.

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 highlights the hidden costs of coal power in Indonesia, noting that coal producers received at least IDR 12.4 trillion (USD 946 million) in subsidies in 2014, which was five times the total subsidies for renewables from 2010 to 2015. It asserts that renewable energy is more cost-competitive when air pollution and CO2 externalities are included in the cost structure. Additionally, it emphasizes that significant investment in renewables is required to provide sustainable electricity access to millions of Indonesian households currently without connections.

The document asserts that renewable energy is significantly cheaper than coal when air pollution externalities are included. It highlights that coal producers in Indonesia received at least IDR 12.4 trillion (USD 946 million) in subsidies in 2014, which is more than five times the total subsidies provided to renewable energy between 2010 and 2015. The text warns that continuing coal reliance could lock in emissions and pollution for 25 years and notes that large renewable investments are required to provide electricity access to millions of households in Indonesia.

The report challenges the narrative of fossil gas as a 'bridge fuel,' stating that a global gas-based electricity system would be as damaging to the climate as one based on coal. It distinguishes between the roles of different gas turbines, noting that while open-cycle gas turbines (OCGTs) can provide short-term flexibility for variable renewable energy, combined-cycle gas turbines (CCGTs) lack the necessary ramp-up speed and risk commercial failure if used only as backup. The document concludes that existing thermal plants and storage technologies, such as pumped-storage hydropower, are sufficient to meet seasonal flexibility needs, rendering new gas infrastructure unnecessary and uneconomical.

The document provides technical instructions for setting up Transformation analyses in LEAP, detailing the hierarchical structure of modules and processes used to model energy conversion sectors. It outlines the four-step setup process—identifying modules, sequencing them by energy flow, setting properties, and entering technology data—while explaining the roles of feedstock, auxiliary, and output fuels in calculating primary resource requirements.

The document outlines the technical setup for optimization in LEAP, including solver selection, required settings, and data input requirements for transformation modules and energy storage.

The document outlines how to input process efficiency data in LEAP, detailing the use of percentage efficiency, heat rates, and energy losses. It provides typical values for steam generation and hydropower and specifies the application of these methods to storage and distribution systems.

Transformation calculations operate on a demand-driven basis, where modules are processed sequentially to determine the primary fossil and renewable resources needed to meet domestic and export demands. The order of modules in the system tree is critical to the accuracy of the results, as outputs from one module decrement the requirements for the next while adding their own fuel inputs.

The report analyzes 40 low-carbon interventions in Mexico's electric power, oil and gas, energy end-use, transport, and agriculture and forestry sectors. It finds that implementing these measures could stabilize emissions at 2008 levels by 2030, avoiding approximately 477 Mt CO2e relative to a baseline scenario. Many of these interventions are 'no-regrets' options with positive economic returns, though their scale-up is hindered by institutional, regulatory, and financial barriers.