{"query_echo":{"q":"","filters":{"analysis_type":["financial viability assessment"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'financial viability assessment' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=financial+viability+assessment","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":"rmi-000262","url":"https://climateinsightsdirectory.org/document/rmi-000262","title":"A Fast-Path to Affordability: Understanding the Benefits of Energy-Only Resources in PJM","publisher":{"name":"RMI","organization":"rmi"},"document_type":"briefing","language":"en","date_published":"2026-05-11","source_url":"https://rmi.org/resources/a-fast-path-to-affordability-understanding-the-benefits-of-energy-only-resources-in-pjm/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The briefing examines the potential of Energy Resource Interconnection Service (ERIS) to address load growth and high energy prices in the PJM region. Based on analysis by Aurora Energy Research, the document asserts that wind and solar resources electing ERIS are financially viable and could save ratepayers nearly $11 billion over a decade if 10 GW are deployed by 2028. It calls for PJM to decouple ERIS studies from Network Resource Interconnection Service (NRIS) tracks and minimize network upgrade requirements to accelerate deployment.","ai_generated":true,"unit":"rmi-000262#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Deploying 10 GW of energy-only resources (5 GW each of wind and solar) in PJM by 2028 could result in savings of nearly $11 billion for ratepayers over the following ten years.","ai_generated":true,"unit":"rmi-000262#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of four PJM load zones—American Electric Power, Commonwealth Edison, Dominion, and Pennsylvania Power and Light—shows that ERIS resources are financially viable. In the Central Scenario, solar resources showed internal rates of return (IRR) of 9%–10.2% and wind resources showed 9.2%–13.6%, exceeding the 9% hurdle rate benchmark.","ai_generated":true,"unit":"rmi-000262#insight-2","date_modified":"2026-10-23"},{"text":"ERIS resources, particularly onshore wind, can contribute to grid reliability during peak winter load days. Over the last decade, PJM's onshore wind resources had an average capacity factor of 39% on these days, and during Winter Storm Elliott, wind fleet availability rates were higher than those of coal and gas resources.","ai_generated":true,"unit":"rmi-000262#insight-3","date_modified":"2026-10-23"},{"text":"Current ERIS uptake in PJM is low because study procedures do not sufficiently differentiate ERIS projects from those seeking capacity status or NRIS, meaning developers do not see reduced timelines or costs for forgoing capacity revenues.","ai_generated":true,"unit":"rmi-000262#insight-4","date_modified":"2026-10-23"}],"climate_tags":["solar energy","Power system reliability","electric power transmission"],"geography_discussed":["ERCOT"],"frame_perspective":[],"analysis_type":["financial viability assessment","policy recommendation","system benefit analysis"]},{"id":"clipolin-000573","url":"https://climateinsightsdirectory.org/document/clipolin-000573","title":"Green Industrial Policy for India’s Iron and Steel Sector Transition","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2025-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2025/12/Green-Industrial-Policy-for-Iron-and-Steel.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report argues that India's iron and steel sector, which accounts for roughly 12% of the country's total greenhouse gas emissions, requires a coordinated Green Industrial Policy (GIP) to avoid high-carbon asset lock-ins and meet its 2070 net-zero target. Through plant-level and sectoral modelling, the analysis identifies hydrogen-based Direct Reduced Iron-Electric Arc Furnace (DRI-EAF) as the most viable long-term pathway. To make this technology investable, the report proposes a combination of time-bound capex and opex subsidies, a predictable carbon price trajectory rising from USD 10 in 2025 to USD 50 by 2050, and green public procurement. The study finds that with these interventions, hydrogen-based steel could achieve cost leadership and a 13.3% IRR by 2050, while conventional blast furnace-basic oxygen furnace (BF-BOF) pathways become financially unviable.","ai_generated":true,"unit":"clipolin-000573#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The iron and steel (I&S) sector is a major emitter in India, contributing approximately 12% of the nation's total greenhouse gas emissions.","ai_generated":true,"unit":"clipolin-000573#insight-1","date_modified":"2026-10-23"},{"text":"Hydrogen-based DRI-EAF is projected to dominate India's steel production by 2050, as greenfield blast furnace additions are expected to taper off by 2030 due to emerging carbon pricing mechanisms.","ai_generated":true,"unit":"clipolin-000573#insight-2","date_modified":"2026-10-23"},{"text":"Low-carbon steel projects currently face a viability gap, with modelled project-level returns of 4–6%, which is significantly lower than the 10–12% internal rate of return (IRR) typically required by industrial investors.","ai_generated":true,"unit":"clipolin-000573#insight-3","date_modified":"2026-10-23"},{"text":"To bridge the viability gap, the report proposes optimized subsidies including a 1% capex subsidy for DRI and 4% for EAF, alongside a green hydrogen opex subsidy starting at INR 50/kg in year 1 and tapering to INR 30/kg by year 3.","ai_generated":true,"unit":"clipolin-000573#insight-4","date_modified":"2026-10-23"},{"text":"The total cumulative subsidy outlay required between 2026 and 2032 is estimated at INR 8,340 crore, with 67% dedicated to hydrogen operating costs and 33% to capital cost relief.","ai_generated":true,"unit":"clipolin-000573#insight-5","date_modified":"2026-10-23"},{"text":"A predictable carbon price trajectory, starting at USD 10 per tCO2 in 2025 and reaching USD 50 per tCO2 by 2050, is identified as critical for internalizing emission costs and steering capital toward cleaner pathways.","ai_generated":true,"unit":"clipolin-000573#insight-6","date_modified":"2026-10-23"},{"text":"By 2030, the combination of subsidies and carbon pricing is expected to make hydrogen-based steel the lowest-cost option, with a levelized cost of steel (LCOS) of INR 1,05,985/t, undercutting conventional BF-BOF.","ai_generated":true,"unit":"clipolin-000573#insight-7","date_modified":"2026-10-23"},{"text":"By 2050, hydrogen-based DRI-EAF is projected to achieve long-term cost leadership with a 13.3% IRR and the lowest LCOS at INR 1,69,375/t, while BF-BOF and BF-BOF + CCS become financially unviable.","ai_generated":true,"unit":"clipolin-000573#insight-8","date_modified":"2026-10-23"},{"text":"Increasing scrap utilization significantly improves financial and emission outcomes; for BF-BOF, increasing scrap from 0% to 40% reduces LCOS from INR 98,610 to INR 93,471 per tonne and lowers emissions from 2.82 to 1.85 tCO2 per tonne.","ai_generated":true,"unit":"clipolin-000573#insight-9","date_modified":"2026-10-23"},{"text":"The transition to low-carbon steel is estimated to generate approximately 540,000 additional jobs by 2050, comprising 70,000 direct and 470,000 indirect positions.","ai_generated":true,"unit":"clipolin-000573#insight-10","date_modified":"2026-10-23"}],"climate_tags":["green industrial policy","green hydrogen","carbon capture and storage","carbon price","sustainable procurement","Net-zero emissions","climate finance","Industrial decarbonization"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["techno-economic modelling","policy analysis","financial viability assessment"]},{"id":"greenca-000261","url":"https://climateinsightsdirectory.org/document/greenca-000261","title":"Market Brief: Green technologies for urban food production","publisher":{"name":"GreenCape","organization":"greencape"},"document_type":"briefing","language":"en","date_published":"2021-06","source_url":"https://greencape.co.za/assets/Urban-Food-Production-Industry-Brief-19-July-2021-v4.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document evaluates green technologies for urban food production in Cape Town, categorising them into incremental and transformational levels based on Gliessman’s framework. It analyzes the financial viability of hydroponics, aquaponics, and complete Controlled Environment Agriculture (CEA) systems, while also identifying investment opportunities for different farm scales, from community gardens to large-scale commercial operations.","ai_generated":true,"unit":"greenca-000261#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Green technologies for urban food production are classified into three levels: Level 1 focuses on increasing the efficiency of current practices (e.g., sensor technology, drip irrigation), Level 2 involves substituting alternative practices and inputs (e.g., vermicomposting, cover crops), and Level 3 focuses on re-establishing agricultural production through novel growing systems (e.g., hydroponics, aquaponics).","ai_generated":true,"unit":"greenca-000261#insight-1","date_modified":"2026-10-23"},{"text":"Among hydroponic systems, Deep Water Culture (DWC) is more financially viable than Nutrient Film Technique (NFT) systems, with a payback period of 1.36 years compared to 2.66 years, primarily due to lower setup costs and lower energy requirements.","ai_generated":true,"unit":"greenca-000261#insight-2","date_modified":"2026-10-23"},{"text":"Small-scale commercial aquaponic systems can be financially viable, with the shortest payback period (under one year) achieved when producing only lettuce and tilapia. However, as crop diversity increases, the payback period can extend up to four years.","ai_generated":true,"unit":"greenca-000261#insight-3","date_modified":"2026-10-23"},{"text":"High-tech complete Controlled Environment Agriculture (CEA) container systems producing basil are not viable in South Africa because electricity costs account for approximately 75.5% of operational expenses. While adding solar PV capacity or producing higher-value crops like Asian greens can move the system toward profitability, the payback periods remain largely unviable (e.g., 27.1 years for solar capacity).","ai_generated":true,"unit":"greenca-000261#insight-4","date_modified":"2026-10-23"},{"text":"Investment opportunities in Cape Town vary by farm scale: home and community gardens are best served by low-cost interventions like non-mechanised drip irrigation and soilless growing kits; small-scale commercial farms can benefit from soil sensors and variable speed drives; and large-scale farms should focus on Level 1 and 2 technologies to increase efficiency and reduce input costs.","ai_generated":true,"unit":"greenca-000261#insight-5","date_modified":"2026-10-23"},{"text":"Case studies of aquaponic farms in the Western Cape indicate that technical skills and water temperature control are critical for viability; only one of three studied farms showed a positive net present value by year 4, largely due to self-installation and the use of solar water heaters.","ai_generated":true,"unit":"greenca-000261#insight-6","date_modified":"2026-10-23"}],"climate_tags":["urban agriculture","precision agriculture","agroecology","regenerative agriculture","photovoltaics","Climate-smart agriculture"],"geography_discussed":["Western Cape","South Africa","United States"],"frame_perspective":[],"analysis_type":["financial viability assessment","market analysis","technology evaluation"]},{"id":"iisd-002028","url":"https://climateinsightsdirectory.org/document/iisd-002028","title":"Évaluation des actifs durables (SAVi) du projet « Bus Rapid Transit » (BRT) au Sénégal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"fr","date_published":"2019-05","source_url":"https://www.iisd.org/system/files/publications/savi-senegal-bus-rapid-transit-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The SAVi evaluation of the Dakar BRT project reveals that while the project is not financially viable under conventional accounting—showing negative Net Present Value (NPV) across most scenarios—it generates substantial positive externalities. These include significant avoided transport costs, time savings, and reductions in greenhouse gas emissions and traffic accidents. When these externalities are integrated into the financial analysis, the project's Internal Rate of Return (IRR) increases from 2.17% to 37.69% in the default demand scenario, demonstrating strong socio-economic profitability despite operational financial losses.","ai_generated":true,"unit":"iisd-002028#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The BRT project is not financially viable under conventional financial evaluation, regardless of passenger demand, as indicated by negative Net Present Value (VAN) and debt coverage ratios (TCD and LLCR) below lender requirements.","ai_generated":true,"unit":"iisd-002028#insight-1","date_modified":"2026-10-23"},{"text":"Integrating socio-economic and environmental externalities dramatically improves the project's profitability indicators; in the default demand scenario, the Internal Rate of Return (TRI) rises from 2.17% to 37.69% and the NPV increases from 51 million USD to 1.5 billion USD.","ai_generated":true,"unit":"iisd-002028#insight-2","date_modified":"2026-10-23"},{"text":"The most significant positive externalities are avoided transport costs and time savings. Avoided transport costs are estimated between 1,150 billion CFA (low demand) and 1,760 billion CFA (high demand), while time savings range from 424.6 billion CFA to 657.5 billion CFA.","ai_generated":true,"unit":"iisd-002028#insight-3","date_modified":"2026-10-23"},{"text":"The BRT project is expected to reduce greenhouse gas (GHG) emissions over its life cycle. By 2040, emissions are projected to be 8.5% to 13.7% lower than the 'Business as usual' (BAU) scenario, depending on demand.","ai_generated":true,"unit":"iisd-002028#insight-4","date_modified":"2026-10-23"},{"text":"The project is projected to improve road safety, reducing the annual number of accidents by more than 13% over time compared to the BAU scenario.","ai_generated":true,"unit":"iisd-002028#insight-5","date_modified":"2026-10-23"},{"text":"The BRT is expected to reduce total vehicle-kilometers traveled by 11.7% by 2040 compared to the BAU scenario, contributing to lower air pollution and GHG emissions.","ai_generated":true,"unit":"iisd-002028#insight-6","date_modified":"2026-10-23"},{"text":"The project will cause a net loss of jobs within the transport sector, particularly affecting AFTU bus operators (51% loss), but is expected to have a global positive impact on employment by improving access to the formal labor market.","ai_generated":true,"unit":"iisd-002028#insight-7","date_modified":"2026-10-23"},{"text":"Sensitivity analysis shows that a 10% increase in ticket prices could make the project generate a positive NPV (11 million USD) specifically in the high-demand scenario, highlighting the tension between affordability and viability.","ai_generated":true,"unit":"iisd-002028#insight-8","date_modified":"2026-10-23"}],"climate_tags":["bus rapid transit","greenhouse gas emissions","air pollution","sustainable transport","urban transport","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","financial viability assessment","system dynamics simulation","sensitivity analysis"]}]}