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The Sustainable Asset Valuation (SAVi) tool by the International Institute for Sustainable Development (IISD) integrates system dynamics simulation with project finance models to value risks and externalities typically ignored in traditional financial assessments. It applies to asset types including energy, roads, buildings, irrigation, sewerage treatment, and nature-based infrastructure. The tool aims to support the goals of the Paris Agreement and UN Sustainable Development Goals by optimizing value for money across an asset's life cycle. Case studies demonstrate its application in valuing climate-risk-related road disruptions in Morocco, the economic gains of wetland conservation in India, and the internal rate of return for wind energy in Senegal.

The document details the use of the National Renewable Energy Laboratory’s Regional Energy Deployment System (ReEDS) to model energy pathways for Virginia. It outlines specific adjustments made to capital costs, performance projections, and policy assumptions for various electricity generating technologies compared to EIA benchmarks. The analysis compares a 'Reference Case' of existing policies against a 'Clean Path Case' involving Clean Power Plan compliance, mandatory energy efficiency standards, and a Renewable Portfolio Standard for Virginia.

The Suitability Mapper is a public online tool developed by the World Resources Institute (WRI) and Sekala to help stakeholders identify potentially suitable areas for sustainable oil palm cultivation in Kalimantan. It uses a binary analysis of 11 environmental and crop indicators to classify land as either 'potential' or 'not suitable'. The tool allows users to apply default settings based on Project POTICO—which align with RSPO standards and Indonesian law—or customize criteria to fit specific project needs. Because the underlying data has not been systematically verified, the document emphasizes that field assessments and due diligence regarding legal and social issues are mandatory to confirm site suitability.

CRiSTAL (Community Risk Identification and Adaptation Tool) is a decision-support framework developed by IUCN, IISD, SEI, and Intercooperation to assist project managers in designing activities that enhance community resilience. The tool uses a logical sequence of four analytical steps, divided into two modules, to assess how climate hazards affect livelihood resources and how project activities can be adjusted to improve adaptation capacity. It relies on a combination of secondary scientific climate data and stakeholder consultations, with data managed via Microsoft Excel. Since its 2007 launch, the tool has been applied in over 20 countries, following initial field trials in Mali, Bangladesh, Tanzania, Nicaragua, and Sri Lanka.

Envisioning Resilience is a creative initiative developed by the NAP Global Network, Lensational, and GirlsCARE to increase the inclusion of underrepresented women in climate adaptation decision-making. The approach uses a four-step process: training in photography and storytelling, the development of individual and collective visual stories, a policy dialogue between trainees and government decision-makers to establish shared adaptation priorities, and an income-generation mechanism through the sale of photographs.