This paper explores electricity generation technology options for the sustainable energy transition of Tamil Nadu (TN). Renewable and clean energy options such as wind (onshore, offshore, small wind),
This issue brief reviews an analysis of African energy transitions and pinpoints critical questions need to answer to foster science-based policymaking to enable decisions informed by clear and objective
This working paper examines Components A and C of the Pradhan Mantri Kisan Urja Suraksha evam Utthaan Mahabhiyan (PM KUSUM) scheme in India, which include small solar-powered generators and on-grid solar
This study is grounded in the concept of carbon budgets and determines India’s fair share of the global carbon budget using four budget allocation approaches. Four Indian research groups then use different
New data from WRI’s Aqueduct Water Risk Atlas show that 25 countries — housing one-quarter of the global population — face extremely high water stress each year, regularly using up almost their entire
<p>Twenty-five countries, which house one-quarter of the world's population, are facing extremely high water stress each year, regularly using up almost their entire available water supply. According to this research published by the World Resources Institute, at least 50 per cent of the global population or around four billion people are currently living under highly water-stressed conditions for at least one month of the year.</p>
This technical note serves as the main reference for the updated Aqueduct™️ 4.0 water risk framework. It details the data and methodology used to create 13 indicators of global water risk. Indicators reflect
This paper discusses various ways through which Multinational Development Banks (MDBs) can mobilize private capital. The paper provides insights into innovative de-risking mechanisms and structures, to
A well-designed and well-integrated carbon market can reduce emissions reduction costs for the industry and help India meet its climate goals along with its economic aspirations. This report provides practical
This paper introduces a machine learning-based model to forecast reservoir water volumes in India. In areas with high water stress, having access to timely information on forecasted water availability
