{"query_echo":{"q":"","filters":{"analysis_type":["Technical Guide"]},"warnings":[]},"total":{"value":160,"relation":"eq"},"page":5,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Technical+Guide&page=5","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Technical+Guide&page=6","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwfza-000036","url":"https://climateinsightsdirectory.org/document/wwfza-000036","title":"Worksite Management Manual","publisher":{"name":"WWF South Africa","organization":"wwf-south-africa"},"document_type":"guide","language":"en","date_published":"2007","source_url":"http://wwfafrica.awsassets.panda.org/downloads/appendix_6_basic_mapping_skills.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document outlines the application of mapping and navigation tools for invasive alien plant (IAP) management. It explains the use of different map scales, specifically recommending 1:10,000 for identifying Natural Biological Alien units (Nbals), and describes the utility of topographical and aerial maps for assessing terrain and accessibility. Additionally, it provides instructions on using magnetic compasses to determine bearings and GPS devices to record coordinates of landmarks for later retrieval.","ai_generated":true,"unit":"wwfza-000036#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Map skills are critical for the clearing of invasive alien plants to assist in pre-planning and execution, including the division of areas into Natural Biological Alien units (Nbals), which are homogenous areas defined by species, age class, or density.","ai_generated":true,"unit":"wwfza-000036#insight-1","date_modified":"2026-10-23"},{"text":"Different map scales serve different management purposes: a 1:10,000 scale is considered ideal for IAP management and recognizing Nbals, while a 1:50,000 scale is useful for managing regions with numerous projects.","ai_generated":true,"unit":"wwfza-000036#insight-2","date_modified":"2026-10-23"},{"text":"Topographical maps use contour lines to indicate height above sea level and land gradient, allowing contractors to estimate accessibility, ease of clearing, and appropriate clearing methods based on whether the terrain is flat or steep.","ai_generated":true,"unit":"wwfza-000036#insight-3","date_modified":"2026-10-23"},{"text":"Magnetic compasses are used for orienting within contract areas, cutting transects in dense vegetation, settling boundary disputes, and orienting escape routes in fire hazard areas, noting a typical variation of around 24 degrees west of true north.","ai_generated":true,"unit":"wwfza-000036#insight-4","date_modified":"2026-10-23"},{"text":"Hand-held GPS devices, which require connection to at least three satellites, can store coordinates for landmarks such as stumps or felled trees and are generally accurate down to 5 square meters.","ai_generated":true,"unit":"wwfza-000036#insight-5","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Cape Town","Johannesburg"],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"rmi-000904","url":"https://climateinsightsdirectory.org/document/rmi-000904","title":"BUILDING ENVELOPE","publisher":{"name":"RMI","organization":"rmi"},"document_type":"guide","language":"en","date_published":"2004-12-03","source_url":"https://rmi.org/app/uploads/2017/05/RMI_Document_Repository_Public-Reprts_HEB1Building.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document explains how to reduce home heating and cooling expenses by improving the building envelope. It details the physics of heat loss and gain, provides guidance on selecting and installing insulation materials, offers methods for identifying and sealing air leaks, and evaluates various window upgrade options from low-cost films to full replacements.","ai_generated":true,"unit":"rmi-000904#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Investment in building envelope improvements, such as sealing air leaks, adding insulation, and upgrading windows, can reduce a typical family's heating and cooling expenses by up to 50 percent.","ai_generated":true,"unit":"rmi-000904#insight-1","date_modified":"2026-10-23"},{"text":"A dark roof can absorb 70–90 percent of solar energy, which, without proper insulation or attic ventilation, can increase an air conditioner's cooling load by 40 percent.","ai_generated":true,"unit":"rmi-000904#insight-2","date_modified":"2026-10-23"},{"text":"Air leakage is estimated by the U.S. Department of Energy to add approximately 10 percent to annual energy bills, which is about $70 per year for an average home.","ai_generated":true,"unit":"rmi-000904#insight-3","date_modified":"2026-10-23"},{"text":"Up to 20 percent of home heat is lost through uninsulated foundations, particularly in northern climates.","ai_generated":true,"unit":"rmi-000904#insight-4","date_modified":"2026-10-23"},{"text":"Windows and doors can contribute up to 30 percent of a home's total heat loss and gain, with windows alone occupying 10 to 30 percent of the exterior wall area.","ai_generated":true,"unit":"rmi-000904#insight-5","date_modified":"2026-10-23"},{"text":"The cost of air sealing measures for homes ranges from $100 to $600, depending on whether the homeowner uses do-it-yourself methods or professional services like blower door testing.","ai_generated":true,"unit":"rmi-000904#insight-6","date_modified":"2026-10-23"},{"text":"Replacing entire window units is generally expensive, costing between $465 per window or $5,000–$20,000 for a typical home, and is primarily recommended for new construction or major remodeling.","ai_generated":true,"unit":"rmi-000904#insight-7","date_modified":"2026-10-23"}],"climate_tags":["building envelope","energy efficiency","home insulation"],"geography_discussed":["Madison"],"frame_perspective":[],"analysis_type":["technical guide","consumer advice"]},{"id":"sei-002257","url":"https://climateinsightsdirectory.org/document/sei-002257","title":"E C O L O G I C A L S A N I T A T I O N","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":"2004","source_url":"https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/ecological_sanitation_2004.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that conventional 'drop-and-store' and 'flush-and-discharge' sanitation systems are unsustainable due to water scarcity, pollution, and nutrient loss. It proposes ecological sanitation (eco-san) as a closed-loop system that treats human urine and faeces as resources. The guide details technical methods for sanitizing excreta—primarily through dehydration and decomposition—and provides diverse examples of eco-toilets from Vietnam, China, Zimbabwe, and Sweden. It emphasizes the agricultural value of recycled nutrients, the management of greywater, and the necessity of community participation and behavioral change for successful implementation. The document concludes with a vision for 'eco-cities' and 'eco-stations' to manage urban waste sustainably.","ai_generated":true,"unit":"sei-002257#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Ecological sanitation is based on three core principles: preventing pollution at the source, sanitizing urine and faeces to remove pathogens, and recycling the resulting safe products for agricultural use.","ai_generated":true,"unit":"sei-002257#insight-1","date_modified":"2026-10-23"},{"text":"Human urine contains few pathogens and can be rendered safe for agriculture by storing it undiluted for one month; however, for larger urban systems, storage times of 1 to 6 months are recommended depending on the crop and temperature.","ai_generated":true,"unit":"sei-002257#insight-2","date_modified":"2026-10-23"},{"text":"Faecal pathogens are destroyed through primary processing (on-site containment for 6–12 months using dehydration or decomposition) and secondary processing (off-site or on-site high-temperature composting, alkaline treatment, or incineration).","ai_generated":true,"unit":"sei-002257#insight-3","date_modified":"2026-10-23"},{"text":"Three main eco-san systems are identified: dehydrating systems (which divert urine to keep faeces dry), composting systems (which mix excreta with organic refuse), and soil composting systems (which mix excreta with soil).","ai_generated":true,"unit":"sei-002257#insight-4","date_modified":"2026-10-23"},{"text":"Recycling human excreta can significantly increase food security and reduce costs for farmers; for example, a study in Jilin province, China, showed cost savings of CNY 740 (USD 90) per 1000 square metres by replacing commercial fertilizers with free urine.","ai_generated":true,"unit":"sei-002257#insight-5","date_modified":"2026-10-23"},{"text":"Agricultural trials in Zimbabwe demonstrated that applying a 3:1 water-to-urine mix can increase spinach yields up to 6 times and tomato weight up to 3.6 times compared to water-only irrigation.","ai_generated":true,"unit":"sei-002257#insight-6","date_modified":"2026-10-23"},{"text":"Greywater management in eco-san involves separating it from blackwater to reduce hygiene risks; treatment options include soil infiltration, vertical soil filters (which can remove 90-99% of BOD and suspended solids), and constructed wetlands.","ai_generated":true,"unit":"sei-002257#insight-7","date_modified":"2026-10-23"},{"text":"Successful implementation of eco-san requires addressing cultural attitudes, specifically the 'faecophilia–faecophobia continuum', and using participatory learning methods like 'Sarar' and 'Phast' to facilitate behavioral change.","ai_generated":true,"unit":"sei-002257#insight-8","date_modified":"2026-10-23"},{"text":"The 'eco-station' concept for urban areas involves a centralized neighborhood facility for the secondary processing of human excreta and the recycling of source-separated domestic solid waste.","ai_generated":true,"unit":"sei-002257#insight-9","date_modified":"2026-10-23"},{"text":"Eco-san systems can be more affordable than conventional ones; in Kosovo schools, a block of four eco-toilets cost 26% less than flush toilets.","ai_generated":true,"unit":"sei-002257#insight-10","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","water pollution","urban planning","sustainable agriculture","carbon sequestration","waste management"],"geography_discussed":["Vietnam","People's Republic of China","Zimbabwe","Sweden","Mexico","India","Palestine","El Salvador","Yemen","Germany","Botswana","Kosovo","Mozambique","Federated States of Micronesia"],"frame_perspective":[],"analysis_type":["technical guide","policy framework","case study analysis"]},{"id":"rmi-000880","url":"https://climateinsightsdirectory.org/document/rmi-000880","title":"An Introduction to Green Building","publisher":{"name":"RMI","organization":"rmi"},"document_type":"guide","language":"en","date_published":"2003-03","source_url":"https://rmi.org/app/uploads/2017/05/RMI_Document_Repository_Public-Reprts_D03-16_EnviroSenstv.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a framework for 'green building' that prioritizes materials with low embodied energy, minimal toxicity, and high recyclability. It argues that the Industrial Revolution's reliance on fossil fuels and non-local materials has stressed global life support systems and degraded indoor air quality. The author recommends specifying low-VOC products, utilizing local masonry or adobe, and considering the high carbon footprint of cement, which accounts for over eight percent of human CO2 emissions worldwide. The guide also compares the energy efficiency and environmental trade-offs between steel and wood framing, while advocating for engineered wood products and reclaimed timbers to protect old-growth forests.","ai_generated":true,"unit":"rmi-000880#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The production of cement is a significant driver of global climate change, with worldwide production accounting for more than 8% of human CO2 emissions. In the United States, cement manufacturing accounts for approximately 0.6% of total energy use, and every ton of cement produced releases 1.25 tons of CO2.","ai_generated":true,"unit":"rmi-000880#insight-1","date_modified":"2026-10-23"},{"text":"Building materials vary significantly in their embodied energy (the energy required for production). Virgin aluminum has the highest embodied energy at 191.0 MJ/kg, while baled straw has the lowest at 0.2 MJ/kg. Recycling is particularly effective for aluminum, saving 95% of the energy required for virgin production.","ai_generated":true,"unit":"rmi-000880#insight-2","date_modified":"2026-10-23"},{"text":"Steel framing presents a major energy-efficiency challenge compared to wood due to 'thermal bridging,' where steel studs act as conductors. Steel is 400 times more conductive than wood, which can reduce the overall R-value of a wall with cavity insulation by half.","ai_generated":true,"unit":"rmi-000880#insight-3","date_modified":"2026-10-23"},{"text":"To improve indoor environmental quality and reduce toxicity, the author recommends using low-VOC paints, adhesives, and millwork, and avoiding wood pressure-treated with chromated copper arsenate (CCA), which is toxic during production, transport, and disposal.","ai_generated":true,"unit":"rmi-000880#insight-4","date_modified":"2026-10-23"},{"text":"Engineered wood products, such as glu-lam beams and prefabricated trusses, are more sustainable than solid-sawn lumber because they utilize up to 80% of each log, compared to only 50% for solid-sawn lumber, thereby reducing pressure on old-growth forests.","ai_generated":true,"unit":"rmi-000880#insight-5","date_modified":"2026-10-23"}],"climate_tags":["green building","carbon dioxide emissions","recycling","energy efficiency","life cycle assessment"],"geography_discussed":["United States","Zimbabwe","Harare"],"frame_perspective":[],"analysis_type":["technical guide","comparative analysis"]},{"id":"cer-000323","url":"https://climateinsightsdirectory.org/document/cer-000323","title":"ankerlig-power-station-_-inspection-and-calibration-of-equipment-160428-b61b9d8bcd352ce6.pdf","publisher":{"name":"Centre for Environmental Rights","organization":"centre-for-environmental-rights"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cer.org.za/wp-content/uploads/2016/07/Ankerlig-Power-Station-_-Inspection-and-calibration-of-equipment-160428.pdf?x21779","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This document is a work package guide (Doc No.: 192/E/6, Revision 2) for the inspection and calibration of the Continuous Emission Monitoring System (CEMS) at the Ankerlig Power Station. It outlines the safety precautions, required tools, and step-by-step technical procedures for maintaining general equipment and calibrating NO, CO, and SO2 analysers.","ai_generated":true,"unit":"cer-000323#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The inspection and calibration of emission monitoring equipment is a yearly requirement that requires one competent person and a planned duration of approximately 3 hours.","ai_generated":true,"unit":"cer-000323#insight-1","date_modified":"2026-08-17"},{"text":"General equipment checks include verifying the operation of the air conditioner and heater, testing indication panel lamps, and inspecting filters for fouling, which is indicated by brown or yellow discoloration.","ai_generated":true,"unit":"cer-000323#insight-2","date_modified":"2026-08-17"},{"text":"The oxygen sensor must be replaced if its voltage drops below 6 mV.","ai_generated":true,"unit":"cer-000323#insight-3","date_modified":"2026-08-17"},{"text":"Calibration checks for NO, CO, and SO2 using the Ultramat gas analyser require a test gas flow of 60 to 80 l/h at a pressure of approximately 0.2 bar; the analyser must be recalibrated if there is a deviation of more than 2%.","ai_generated":true,"unit":"cer-000323#insight-4","date_modified":"2026-08-17"}],"climate_tags":["emission monitoring","power station maintenance","air quality"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide","maintenance procedure"]},{"id":"clibonds-000633","url":"https://climateinsightsdirectory.org/document/clibonds-000633","title":"A List of Debt Instruments for Certification under the Climate Bonds Standard version 2.1","publisher":{"name":"Climate Bonds Initiative","organization":"climate-bonds-initiative"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.climatebonds.net/files/drupal-files/files/CBS%20Version%202_1%20-%20List%20of%20debt%20instruments%20-%20updated%20-%20Jan2017%281%29.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Climate Bonds Initiative (CBI) has expanded the Climate Bonds Standard version 2.1 to include a wider variety of debt instruments for certification. Beyond standard bonds, eligible instruments now include revenue bonds, project bonds, securitized bonds, green bond funds (specifically the debt instruments they issue), convertible bonds, Schuldschein loans, syndicated loans, loan facilities, commercial paper, bilateral loans, and Sukuk. The document defines these instruments and provides examples of certified entities, such as NAB, ANZ, and Nordex, to support the mobilization of debt capital for climate solutions.","ai_generated":true,"unit":"clibonds-000633#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate Bonds Standard version 2.1 introduces a broader definition of eligible debt instruments through the category of \"Other Debt Instrument\", which refers to a list maintained on the Climate Bonds Initiative website.","ai_generated":true,"unit":"clibonds-000633#insight-1","date_modified":"2026-10-23"},{"text":"Eligible debt instruments for certification include various bond types such as standard recourse-to-the-issuer bonds, non-recourse revenue bonds, project bonds, and securitized bonds (including ABS and MBS).","ai_generated":true,"unit":"clibonds-000633#insight-2","date_modified":"2026-10-23"},{"text":"Certification is extended to non-bond debt instruments, including loan-based structures like syndicated loans, bilateral loans, loan facilities, and the German Schuldschein, as well as short-term commercial paper.","ai_generated":true,"unit":"clibonds-000633#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate bond"],"geography_discussed":["Germany","United Kingdom"],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"clipolin-000536","url":"https://climateinsightsdirectory.org/document/clipolin-000536","title":"First and Second Loss Facilities","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/01/First-and-Second-Loss-Facilities.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document defines first-loss facilities as tools that absorb the earliest layer of losses to reduce risk for senior investors, while second-loss facilities provide an additional protective layer after the first is depleted. These instruments are particularly relevant for adaptation, resilience, and nature-based solutions where projects often have variable returns and limited track records. The text details the roles of commercial and public providers, the impact on debt sustainability, and the internal and regulatory capacities required for governments to integrate these structures. It also outlines challenges to uptake, such as limited technical expertise in Ministries of Finance and high transaction costs for adaptation projects.","ai_generated":true,"unit":"clipolin-000536#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"First-loss facilities reduce risk for senior lenders and investors by absorbing the earliest losses through donor capital, concessional equity, or subordinated debt, which can substantially change a transaction's risk-return profile.","ai_generated":true,"unit":"clipolin-000536#insight-1","date_modified":"2026-10-23"},{"text":"Second-loss facilities act as a further protective layer using mezzanine equity, guarantees, or subordinated debt to absorb losses once the first-loss tranche is exhausted, thereby increasing investor confidence in high-risk or underdeveloped sectors.","ai_generated":true,"unit":"clipolin-000536#insight-2","date_modified":"2026-10-23"},{"text":"These facilities are especially critical for adaptation and resilience projects, which typically struggle with smaller sizes, limited track records, and variable returns.","ai_generated":true,"unit":"clipolin-000536#insight-3","date_modified":"2026-10-23"},{"text":"While generally off-balance-sheet and not directly reducing sovereign debt stock, these tools can create contingent liabilities if provided by governments or state-owned enterprises, which must be reported as they reduce fiscal space.","ai_generated":true,"unit":"clipolin-000536#insight-4","date_modified":"2026-10-23"},{"text":"The document identifies several specific blended finance examples: the Infrastructure Climate Resilient Fund (ICRF) uses a USD 253 million junior first-loss equity investment from the Green Climate Fund in Africa, and Climate Investor One aims to mobilize at least USD 2 billion in private finance for renewable energy in developing countries using donor capital in a first-loss position.","ai_generated":true,"unit":"clipolin-000536#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Blended Finance","climate finance","clean technology","nature-based solutions","climate change adaptation","climate resilience","smallholder"],"geography_discussed":["Africa","Latin America"],"frame_perspective":[],"analysis_type":["technical guide","financial analysis"]},{"id":"clitrace-000005","url":"https://climateinsightsdirectory.org/document/clitrace-000005","title":"Climate Trace Data on Google BigQuery","publisher":{"name":"Climate TRACE","organization":"climate-trace"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://media.climatetrace.org/Climate_TRACE_Big_Query_Data_8713215f81.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"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.","ai_generated":true,"unit":"clitrace-000005#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Climate TRACE dataset on Google BigQuery is organized into several categories: emissions tables (including source, country, city, and GADM administrative boundary data), metadata tables (covering confidence, uncertainty, and ownership), Emissions Reduction Solutions (ERS) tables, and sector-specific datasets for road transportation, domestic shipping, and international shipping.","ai_generated":true,"unit":"clitrace-000005#insight-1","date_modified":"2026-10-23"},{"text":"To access and query the public dataset, users must have a Google Cloud account and specific permissions on their own project, such as the bigquery.jobs.create permission, which is included in roles like Project Owner, BigQuery Job User, BigQuery User, or BigQuery Admin.","ai_generated":true,"unit":"clitrace-000005#insight-2","date_modified":"2026-10-23"},{"text":"Data is updated monthly, and users can identify the specific version of a table by checking the 'Labels' section in the BigQuery Console (e.g., v5_1_0).","ai_generated":true,"unit":"clitrace-000005#insight-3","date_modified":"2026-10-23"},{"text":"Data export is supported through three methods: downloading query results as csv, json, or parquet for small to medium datasets; exporting large datasets to Google Cloud Storage as Parquet; and using filtered exports via temporary tables.","ai_generated":true,"unit":"clitrace-000005#insight-4","date_modified":"2026-10-23"},{"text":"While storage costs for the public dataset are covered by Climate TRACE, all query and export costs are billed to the user's own Google Cloud project and billing account based on the amount of data processed.","ai_generated":true,"unit":"clitrace-000005#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","greenhouse gas monitoring","road transport","electricity generation","climate data"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"earjust-002508","url":"https://climateinsightsdirectory.org/document/earjust-002508","title":"COAL ASH PRIMER","publisher":{"name":"Earthjustice","organization":"earthjustice"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://earthjustice.org/wp-content/uploads/coal-ash-primer_earthjustice_2023.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes coal ash as a toxic industrial waste stream containing carcinogens and neurotoxins that contaminate air, soil, and water when improperly managed. It evaluates various disposal methods, identifying unlined surface impoundments as the most hazardous and encapsulated reuse in concrete or gypsum as the safest. The guide outlines specific technical standards for landfills and ponds—including impermeable liners, groundwater monitoring, and siting prohibitions—and argues for enforceable, site-specific permits and financial assurance to ensure long-term remediation.","ai_generated":true,"unit":"earjust-002508#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The toxicity of coal ash is increased by the use of pollution control devices on smokestacks, which capture hazardous chemicals that would otherwise be emitted into the air.","ai_generated":true,"unit":"earjust-002508#insight-1","date_modified":"2026-10-23"},{"text":"Coal ash contains a wide array of toxic substances, including arsenic, lead, mercury, and selenium, which can cause cancer, kidney disease, and nervous system damage.","ai_generated":true,"unit":"earjust-002508#insight-2","date_modified":"2026-10-23"},{"text":"Improper disposal of coal ash leads to widespread groundwater contamination; in the United States, 91 percent of coal plant sites have contaminated underlying groundwater above health standards.","ai_generated":true,"unit":"earjust-002508#insight-3","date_modified":"2026-10-23"},{"text":"Unlined surface impoundments (ponds) are identified as the most dangerous disposal method due to the risk of groundwater leaching and catastrophic structural failures.","ai_generated":true,"unit":"earjust-002508#insight-4","date_modified":"2026-10-23"},{"text":"Encapsulated reuse, such as incorporating fly ash into concrete, bricks, tiles, or gypsum board, is the least harmful way to manage coal ash because it reduces the potential for toxic leaching and air emissions.","ai_generated":true,"unit":"earjust-002508#insight-5","date_modified":"2026-10-23"},{"text":"The use of coal ash as an agricultural soil amendment poses significant risks, as toxic metals can accumulate in food crops, such as basil and zucchini, which may then be consumed by humans or animals.","ai_generated":true,"unit":"earjust-002508#insight-6","date_modified":"2026-10-23"},{"text":"Safe disposal requires keeping coal ash dry and utilizing engineered landfills with composite liners, leachate collection systems, and strict siting prohibitions to separate waste from aquifers and wetlands.","ai_generated":true,"unit":"earjust-002508#insight-7","date_modified":"2026-10-23"},{"text":"Effective long-term management requires financial assurance (bonding) to ensure that funds are available for closure and remediation, preventing cleanup costs from falling on taxpayers.","ai_generated":true,"unit":"earjust-002508#insight-8","date_modified":"2026-10-23"}],"climate_tags":["water pollution","air pollution","landfill","environmental regulation","energy transition"],"geography_discussed":["United States","India","Dominican Republic","Australia","People's Republic of China","South Africa","Indonesia","Tennessee","Odisha"],"frame_perspective":[],"analysis_type":["technical guide","policy recommendation"]},{"id":"greenca-000121","url":"https://climateinsightsdirectory.org/document/greenca-000121","title":"Technical factsheet for sludge management","publisher":{"name":"GreenCape","organization":"greencape"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://greencape.co.za/wp-content/uploads/2023/08/Factsheet-4_Sludge-Management.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines how municipal wastewater treatment works (WWTWs) in South Africa can reduce energy consumption and carbon footprints through optimized sludge management. It details specific technical interventions in primary sedimentation, dewatering, thickening, and stabilisation, while providing a business case for biogas production and a framework of financing mechanisms for implementing these energy efficiency projects.","ai_generated":true,"unit":"greenca-000121#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Sludge treatment and disposal are highly energy-intensive, accounting for up to 35% of the total energy consumption in an activated sludge wastewater treatment work (WWTW).","ai_generated":true,"unit":"greenca-000121#insight-1","date_modified":"2026-10-23"},{"text":"Energy efficiency in primary sedimentation can be improved by monitoring key operating criteria, such as maintaining a solids loading rate of 10\u001020 kg/m2/day and achieving a suspended solids removal efficiency of 45\u001065%.","ai_generated":true,"unit":"greenca-000121#insight-2","date_modified":"2026-10-23"},{"text":"Different sludge dewatering and thickening technologies vary significantly in energy intensity, ranging from drying beds, which require no electrical power, to centrifugation, which has a benchmark specific power consumption of 30\u001060 kWh/tonne of suspended solids.","ai_generated":true,"unit":"greenca-000121#insight-3","date_modified":"2026-10-23"},{"text":"Sludge stabilisation via anaerobic digestion offers significant renewable energy potential, as the resulting methane gas can be used for power generation through combined-heat power (CHP), to fire incinerators, or to heat the anaerobic digester.","ai_generated":true,"unit":"greenca-000121#insight-4","date_modified":"2026-10-23"},{"text":"Municipalities can fund energy efficiency projects through various mechanisms, including municipal budgets, government or donor grants (such as MIG, RBIG, and WSIG), concessional loans from foreign funders (e.g., AFD, SEFA), commercial bank loans, energy performance contracts via Energy services companies (ESCos), and climate financiers.","ai_generated":true,"unit":"greenca-000121#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","renewable energy","biogas","greenhouse gas emissions","wastewater treatment","climate change mitigation","climate finance","circular economy"],"geography_discussed":["City of Tshwane Metropolitan Municipality","City of Cape Town"],"frame_perspective":[],"analysis_type":["technical guide","policy briefing"]},{"id":"seforall-000067","url":"https://climateinsightsdirectory.org/document/seforall-000067","title":"Urban land-use and heat analysis in major cities of the Critical 9 countries - how to use the maps","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.seforall.org/data-stories/urban-land-use-and-heat-analysis/how-to-use-the-maps","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document explains the functionality of the mapping tool, which allows users to toggle city boundary layers and compare land use and land cover maps from 2015 and 2019 against a permanent Google satellite map background.","ai_generated":true,"unit":"seforall-000067#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The mapping tool includes a city boundary layer that can be toggled on or off, using Jakarta as the provided example.","ai_generated":true,"unit":"seforall-000067#insight-1","date_modified":"2026-10-23"},{"text":"The tool utilizes a Google satellite map as a permanent underlying layer.","ai_generated":true,"unit":"seforall-000067#insight-2","date_modified":"2026-10-23"},{"text":"Users can toggle and compare land use and land cover data for cities from two specific years: 2015 and 2019.","ai_generated":true,"unit":"seforall-000067#insight-3","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Jakarta"],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"seforall-000202","url":"https://climateinsightsdirectory.org/document/seforall-000202","title":"Mini-Grid Emissions Tool Cover note","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.seforall.org/system/files/2021-08/SEforALL_Carbon-emissions-methodology-note.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Mini-Grid Emissions Tool, developed by Sustainable Energy for All (SEforALL), addresses the lack of standardized carbon tracking in the mini-grid sector. Unlike previous methods that rely on a single default emissions factor and total energy generated, this tool calculates emissions avoided based on actual energy consumed and the diverse range of previous energy sources used by customers. It incorporates specific data for different household energy access tiers, kerosene lamp types, and fossil fuel generator efficiencies to provide a more accurate estimate of climatic benefits.","ai_generated":true,"unit":"seforall-000202#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The tool was created because existing methodologies often overestimate mitigation impact by basing calculations on total energy generated rather than energy consumed, and by assuming all consumers previously used a single fuel source.","ai_generated":true,"unit":"seforall-000202#insight-1","date_modified":"2026-10-23"},{"text":"To improve accuracy, the tool accounts for three primary variables: the various energy sources used before the mini-grid was installed, the actual energy consumed by customers, and the specific generating sources of the mini-grid, including hybrid systems.","ai_generated":true,"unit":"seforall-000202#insight-2","date_modified":"2026-10-23"},{"text":"The methodology utilizes a tiered approach to household energy access to estimate consumption. Tier 1 households (initial access) are estimated to consume 4.86 kWh/month for lighting, phone charging, and radio. Upon upgrading to Tier 2 via a mini-grid, consumption is projected to reach a plateau of 10 kWh/month as they add appliances like TVs.","ai_generated":true,"unit":"seforall-000202#insight-3","date_modified":"2026-10-23"},{"text":"Baseline kerosene emissions are calculated using GOGLA weightings for lamp types (Pressurised, Hurricane, and Single Wick) and include black carbon as a significant short-lived pollutant.","ai_generated":true,"unit":"seforall-000202#insight-4","date_modified":"2026-10-23"},{"text":"The tool distinguishes between previous fossil fuel generators and those used as mini-grid backup. It assigns a default emissions factor of 1 kgCO2/kWh for smaller previously used diesel generators and 0.8 kgCO2/kWh for larger modern mini-grid backup generators (35–135kW).","ai_generated":true,"unit":"seforall-000202#insight-5","date_modified":"2026-10-23"},{"text":"For petrol generators, which are noted as more prevalent in rural Sub-Saharan Africa than small diesel units, the tool uses a default factor of 1.25164 kgCO2/kWh.","ai_generated":true,"unit":"seforall-000202#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","energy access","photovoltaics"],"geography_discussed":["sub-Saharan Africa","East Africa","West Africa","South Asia","India"],"frame_perspective":[],"analysis_type":["methodology","technical guide"]},{"id":"sei-000001","url":"https://climateinsightsdirectory.org/document/sei-000001","title":"Fuel Economy","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/Demand/Fuel_Economy.htm?agt=index","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document provides technical instructions for using the Demand Branch Properties screen in LEAP to specify the fuel economy of newly purchased vehicles. It details the available units of measurement, the use of lifecycle profiles to account for vehicle aging, and the software's ability to automatically calculate stock average fuel economy based on sales and survival data. It also emphasizes the importance of entering historical fuel economy values to ensure accurate base year stock average calculations.","ai_generated":true,"unit":"sei-000001#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Fuel economy in LEAP is defined as the energy consumption per unit of vehicle-distance traveled, or its inverse for miles per gallon (MPG). Users can specify data using various standard units, including US and UK MPG and Liters Per KM, and the software provides automatic conversion between these units.","ai_generated":true,"unit":"sei-000001#insight-1","date_modified":"2026-10-23"},{"text":"The software allows for the optional specification of a lifecycle profile to model how fuel economy degrades as vehicles age. For MPG data, this profile should be constant or decreasing, whereas for Liters per KM, it should be constant or increasing.","ai_generated":true,"unit":"sei-000001#insight-2","date_modified":"2026-10-23"},{"text":"LEAP automatically calculates the stock average fuel economy using the on-road fuel economy of new vehicles combined with data on vehicle stocks, sales, and survival. To ensure the base year stock average is accurate, users are advised to specify historical values using the Time-Series wizard.","ai_generated":true,"unit":"sei-000001#insight-3","date_modified":"2026-10-23"}],"climate_tags":["fuel economy","electric vehicle","fuel cell vehicle"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000006","url":"https://climateinsightsdirectory.org/document/sei-000006","title":"Referencing Results in Expressions","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/Expressions/Results_Filters.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The document provides technical instructions for referencing results variables in LEAP, detailing the syntax for scaling and filtering by dimensions such as fuel or cost. It specifies that results variables generally require the use of functions like PrevYearValue to reference past data, except when defining calculated Indicator variables.","ai_generated":true,"unit":"sei-000006#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP allows users to reference results variables—internally calculated values such as total emissions or costs—using a specific syntax that includes the branch, variable, scale unit, and optional filters.","ai_generated":true,"unit":"sei-000006#insight-1","date_modified":"2026-10-23"},{"text":"Users can apply up to two filters to a result variable using the format 'dimension=element' to include a specific element or 'dimension<>element' to exclude it. Supported dimensions include fuel, cost, time slice, effect, balance category, module cost category, or tag.","ai_generated":true,"unit":"sei-000006#insight-2","date_modified":"2026-10-23"},{"text":"Because results variables are calculated internally, they typically can only be referenced for previous years using the PrevYearValue or LaggedValue functions, with the exception of calculated Indicator variables which may reference present-year values.","ai_generated":true,"unit":"sei-000006#insight-3","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000013","url":"https://climateinsightsdirectory.org/document/sei-000013","title":"Using Different IBC Methods in Different Scenarios","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/IBC/Using_Different_IBC_Methods_in_Different_Scenarios.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document provides technical instructions for using the IBC tab in LEAP settings to manage health impact calculations and particulate matter scaling. It details how to create Key Assumption Branches to switch between different versions of the Global Burden of Disease relative risk functions (2010, 2015, 2019), two different PM scaling methods (including one based on van Donkelaar, 2016), and IIASA ECLIPSE background emission scenarios (versions 5 or 6).","ai_generated":true,"unit":"sei-000013#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP allows users to select from three versions of the Global Burden of Disease relative risk functions to calculate health impacts: the 2010, 2015, and 2019 versions.","ai_generated":true,"unit":"sei-000013#insight-1","date_modified":"2026-10-23"},{"text":"There are two methods for scaling base year particulate matter: a 'No Scaling' approach that uses LEAP emissions directly for any base year, and a scaling approach based on van Donkelaar (2016) which requires a 2010 base year and complete accounting of national particulate-forming emissions.","ai_generated":true,"unit":"sei-000013#insight-2","date_modified":"2026-10-23"},{"text":"Users can control the background Rest of World emission scenarios by selecting either version 5 or 6 of the IIASA ECLIPSE scenarios.","ai_generated":true,"unit":"sei-000013#insight-3","date_modified":"2026-10-23"}],"climate_tags":["effects of climate change on human health","particulates"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000017","url":"https://climateinsightsdirectory.org/document/sei-000017","title":"Referencing Data and Constants in Expressions","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/Help24/Expressions/Referencing_Other_Data_Variables_in_Expressions.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document provides technical instructions for creating models in LEAP that combine exogenous and endogenous variables. It details the naming syntax for referencing branches and variables, the process for specifying scaling factors and units, and the use of tag filters to limit summed branches. Additionally, it covers the referencing of fuel characteristics, molecular weight constants, and data from the TED database.","ai_generated":true,"unit":"sei-000017#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP allows users to create models using both exogenous data (specified directly in the Analysis View) and endogenous variables (calculated internally by the software), such as total emissions or total costs.","ai_generated":true,"unit":"sei-000017#insight-1","date_modified":"2026-10-23"},{"text":"The general syntax for referencing a branch or variable is 'Path\\Branch:Variable[Scale Unit]'. When referencing a variable at a higher-level branch, LEAP returns the sum of values for all descendant branches where that variable occurs.","ai_generated":true,"unit":"sei-000017#insight-2","date_modified":"2026-10-23"},{"text":"Users can edit the scale and units within square brackets to convert values, provided the new unit belongs to the same class as the original. Supported scaling factors include %, Hundred, Thousand, Million, Billion, Trillion, and specifically for users in India, Lakh and Crore.","ai_generated":true,"unit":"sei-000017#insight-3","date_modified":"2026-10-23"},{"text":"Data variable references can be limited using a 'Tag=' filter to sum only specific branches, such as identifying households using clean cooking fuels by tagging relevant technologies.","ai_generated":true,"unit":"sei-000017#insight-4","date_modified":"2026-10-23"},{"text":"Expressions can incorporate fuel variables (chemical and physical characteristics like carbon content), user-defined or default molecular weight constants for emission factors, and TED database items using the TED() function.","ai_generated":true,"unit":"sei-000017#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy demand"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000031","url":"https://climateinsightsdirectory.org/document/sei-000031","title":"TED Expressions","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://leap.sei.org/help24/TED/TED_Expression_Builder.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes the functionality of TED for entering environmental loadings, highlighting the use of mathematical expressions to link emissions to fuel composition data stored in LEAP.","ai_generated":true,"unit":"sei-000031#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Environmental loadings in TED can be defined as constant numeric values or as mathematical expressions based on the chemical composition of fuels, which is particularly useful for calculating CO2 emissions from coal-fired power plants where emissions depend on carbon content.","ai_generated":true,"unit":"sei-000031#insight-1","date_modified":"2026-10-23"},{"text":"Using mathematical expressions that reference the LEAP fuels database—such as calculating loading based on CarbonContent, FractionOxidized, and constants—ensures that environmental loadings update automatically when the fuels database changes and allows a single set of effects to be applicable across different regions with varying fuel compositions.","ai_generated":true,"unit":"sei-000031#insight-2","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000039","url":"https://climateinsightsdirectory.org/document/sei-000039","title":"Renewable Qualified","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/help24/Transformation/Renewable_Qualified.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The 'Renewable Qualified' variable allows users to specify the percentage of a process's output that is considered renewable, ranging from 0% to 100%. While typically used for wind, solar, hydro, and biomass, the document warns that users can manually mark any process as renewable regardless of feedstock, and notes that some hydro and biomass projects may not meet specific Renewable Portfolio Standard (RPS) qualifications.","ai_generated":true,"unit":"sei-000039#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Renewable Qualified' variable is used in optimization-based scenarios to define the percentage of a process's output that qualifies as renewable, with a possible range from 0% to 100%.","ai_generated":true,"unit":"sei-000039#insight-1","date_modified":"2026-10-23"},{"text":"Users can designate any process as renewable regardless of the actual feedstock fuel used, although it is typically applied to wind, solar, hydro, and biomass.","ai_generated":true,"unit":"sei-000039#insight-2","date_modified":"2026-10-23"},{"text":"Certain biomass and hydro projects may not qualify for a Renewable Portfolio Standard (RPS).","ai_generated":true,"unit":"sei-000039#insight-3","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","energy modeling","Renewable portfolio standard"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000049","url":"https://climateinsightsdirectory.org/document/sei-000049","title":"Geographic Mapping","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/Help24/Supporting_Screens/Emission_Mappings.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The document explains the process of creating named geographic mappings in LEAP by importing raster GIS data files, which are then used to allocate energy and emissions results to a common grid for visualization. It details supported file formats, the software's ability to automatically re-scale and normalize data, and the memory-based cell limits for 32-bit and 64-bit versions of the application. Additionally, it lists external GIS data providers such as NASA's SEDAC, ESRI, the World Resources Institute, and the United Nations Environment Programme.","ai_generated":true,"unit":"sei-000049#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"LEAP supports various GIS file formats for raster data, including GeoTIFF (GTIFF), ESRI ASCII (ASC), ESRI Binary (BIN), Multiresolution Seamless Image Database (MrSID), GIF, JPEG, STDS, and PAUX, with NetCDF (NC) support planned for a future version.","ai_generated":true,"unit":"sei-000049#insight-1","date_modified":"2026-10-23"},{"text":"The software automatically re-scales, clips, and normalizes imported data sets to a common resolution for the purpose of allocating energy and emissions results to the grid used in Results View.","ai_generated":true,"unit":"sei-000049#insight-2","date_modified":"2026-10-23"},{"text":"There are specific cell limits for map creation and display based on the software version: the 32-bit version is limited to 50 by 50 cells, while the 64-bit version supports up to 300 x 300 cells.","ai_generated":true,"unit":"sei-000049#insight-3","date_modified":"2026-10-23"},{"text":"The document identifies several external sources for GIS data, including NASA's Socioeconomic Data and Applications Center (SEDAC), ESRI Data & Maps, the World Resources Institute (WRI), and the United Nations Environment Programme (UNEP) Data Explorer.","ai_generated":true,"unit":"sei-000049#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["technical guide"]},{"id":"sei-000051","url":"https://climateinsightsdirectory.org/document/sei-000051","title":"Time-Series Wizard","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://cdn.leap.sei.org/Help24/Wizards_and_Properties/Time_Series_Wizard.htm","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Time-Series Wizard is a three-page tool in LEAP used to create time-series expressions through various mathematical functions and data sources. Users can select from interpolation, step functions, and smooth curves for future data points, or use linear, exponential, and logistic projections to extrapolate from historical data. Data can be entered manually via keyboard, imported or linked from Microsoft Excel, or retrieved from the LEAP Cloud Database Server (LCDS), which provides international open-source data on energy, emissions, and development.","ai_generated":true,"unit":"sei-000051#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Time-Series Wizard offers two main categories of functions: those that calculate values for intervening years based on specified future data points, and those that extrapolate future values from historical data using least-squares curve fits.","ai_generated":true,"unit":"sei-000051#insight-1","date_modified":"2026-10-23"},{"text":"Specific function types serve different modeling needs: interpolation and smooth curves are suited for gradual changes, such as device penetration, while step functions are used for discrete changes, such as adding power plants.","ai_generated":true,"unit":"sei-000051#insight-2","date_modified":"2026-10-23"},{"text":"Users can source data from three different methods: direct keyboard entry, Microsoft Excel (via import or live link), and the LEAP Cloud Database Server (LCDS).","ai_generated":true,"unit":"sei-000051#insight-3","date_modified":"2026-10-23"},{"text":"The LEAP Cloud Database Server (LCDS) provides access to international open-source national statistics, including datasets from the World Bank World Development Indicators and UN energy statistics and population prospects.","ai_generated":true,"unit":"sei-000051#insight-4","date_modified":"2026-10-23"}],"climate_tags":["energy modeling"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["technical guide"]}]}