Life Cycle Assessment of Solar Photovoltaic in India: A Circular Economy Approach.

This pioneering work employs the attributional and comparative life cycle assessment methodology to evaluate India's ambitious target of installing 100 GW of solar energy by 2022 and the FRELP method to study the circular economy prospects of the substantial PV waste it is expected to generate. Business as usual projections suggest that the intended target will be achieved no sooner than 2029. The lower lifetime of polycrystalline PV modules combined with their lower efficiency is found to severely downgrade their environmental performance vis-à-vis monocrystalline PV modules. The end-of-life treatment of the projected 6,576 tonnes of solar PV waste, expected to be accumulated between 2034-59, indicates a recovery rate of 90.7% entailing electricity consumption, GHG emissions, and monetary cost of 678.6 MWh, 648 tonnes of CO2 eq., and USD 11.8 billion, respectively. Simultaneously, the recovery of aluminum and glass alone leads to a direct saving of 70.3 GWh of energy by eliminating raw material extraction and processing. Further, the economic value of the recovered material at USD 11.74 billion is found to have the potential to generate additional solar capacity worth 19 GW. However, making the end-of-life treatment of PV waste financially feasible would require government subsidization. A minimum amount that would equate the costs to the benefits is USD 690/MW. The study, therefore, intends to inform potential stakeholders about the environmental burden as well as the economic potential of the impending PV waste and concludes with important policy prescriptions for enabling a sustainable energy transition through the circular economy approach.

An economic analysis of salmonella detection in fresh produce, poultry, and eggs using whole genome sequencing technology in Canada.

The study estimates the annual costs of nontyphoidal Salmonellosis (referred to as Salmonellosis from hereon) from fresh produce, poultry and eggs in Canada. It also estimates the economic benefits from introduction of Whole Genome Sequencing (WGS) in detection of Salmonellosis clusters and outbreaks. Monetary and non-monetary costs from Salmonellosis are estimated. Monetary costs are divided into direct healthcare, indirect, federal and producer costs. Probability models are used to account for uncertainty in the cost-of-illness estimates. Two types of non-monetary costs have been estimated: Disability-adjusted Live Years and Quality-adjusted Life Years. These estimates are then used to calculate the economic impact of WGS on detection of Salmonellosis. The estimated incidence of illnesses is 47,082 annually, which represents a cost of $287.78 million (total cases) and $166.28 million (reported cases) from the traditional technology. The total net benefit from introduction of WGS is estimated to range from $5.21 million-$90.25 million. All monetary values are in CAD unless stated otherwise. WGS will help in reducing the economic burden from Salmonellosis. These estimates help will aid policy related decision making.

A Syst-OMICS Approach to Ensuring Food Safety and Reducing the Economic Burden of Salmonellosis.

The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment. The ultimate goals are to understand how Salmonella evolves over time, improve the accuracy of diagnostic methods, develop control methods in the field, and identify prognostic markers for evidence-based decisions in epidemiology and surveillance.