Energy and water are tightly linked. We use extraordinary amounts of energy for municipal water systems and irrigation. And we use huge volumes of water in energy too. How could we use less energy and water to make more of both? Afreen Siddiqi and Newsha Ajami discuss on PBS' Energy Switch.

Pakistan’s floods of 2022 were the latest, and most damaging yet, addition to the long history of floods in the country. As the muddy waters slowly recede, the need for speeding up action to face future floods stands clear.

An extensive canal irrigation network in South Asia has developed over the past 170 years that consists of thousands of kilometers of constructed channels and distributaries. These canals cut across many energy-poor regions along their paths. In India, this canal network provides a unique opportunity for renewable energy generation that is yet to be realized.

A large part of operating costs in urban water supply networks is usually due to energy use, mostly in the form of electricity consumption. There is growing pressure to reduce energy use to help save operational costs and reduce carbon emissions. This study shows how a hybrid linear and multi-objective optimization approach can be used to identify key energy consumption elements in a water supply system, and then evaluate the amount of investment needed to achieve significant operational gains at those points in the supply network.

With a rapidly growing population of 250 million, the Indus river basin in South Asia is one of the most intensively cultivated regions on Earth, highly water stressed and lacking energy security. Yet, most studies advising sustainable development policy have lacked multi-sectoral and cross-country perspectives. In this article, the authors show how the countries in the Indus basin could lower costs for development and reduce soil pollution and water stress by cooperating on water resources and electricity and food production.

Kaveri Iychettira and Afreen Siddiqi explain why computational modelling is a useful tool, especially when stakes are high and resources are constrained, and detail why developing countries should build capacity for it. 

In developing countries, where the coronavirus pandemic is potentially at its most dangerous and costly, the authors call for governments to work with academic institutions to build and sustain computational modelling capacity.

With decision-makers relying on a growing torrent of forecasts regarding COVID-19 and other important issues, it is more important than ever that they ask questions about how the projections were made. To use predictive tools more effectively, policymakers should ask four questions in particular.

In this paper, a quantitative Waste to Energy Recovery Assessment (WERA) framework is used to stochastically analyze the feasibility of waste-to-energy systems in selected cities in Asia.

As numerous studies have made strikingly clear, climate change is increasing much more rapidly than anticipated and its negative impacts are becoming more and more visible around the world. From the escalating extremity of weather events, severe droughts and wildfires, to melting glaciers, rising sea levels, and disastrous floods, climate change is already harming humans and our ecosystems in a myriad of ways.