Uncertainty Analysis

The energy, exergy and economic analysis of indirect type solar dryer (ITSD) was performed while drying green chilli under forced and natural convection. Fans powered by PV panels were used for forced convection setup. The collector and drying efficiencies of the forced convection dryer were found to be 63.3% and 10.4% and the same was 53.84% and 8.90% in natural convection ITSD, respectively. The specific moisture extraction rate (SMER) of green chilli in ITSD was found to be 0.6526 and 0.5603 kg/kW-h under forced and natural convection, respectively.
This paper relates to remote sensing of water use and water stress in the African savanna ecosystem at a local scale, as well as the development and validation of a monitoring tool.
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 109, December 2018
This review discusses the identification and quantification of microplastic (MP) using Raman microspectroscopy (RM). It addresses scientists investigating MP in environmental and food samples. We show the benefits and limitations of RM from a technical point of view (sensitivity, smallest particle sizes, speed optimizations, analysis artefacts and background effects) and provide an assessment of the relevance of lab analyses and their interpretation (sample sizes for the analysis, uncertainty of the analysis).
This paper uses ‘Medieval’ drought conditions from the 12th Century to simulate the implications of severe and persistent drought for the future of water resource management in metropolitan Phoenix, one of the largest and fastest growing urban areas in the southwestern USA. WaterSim 5, an anticipatory water policy and planning model, was used to explore groundwater sustainability outcomes for mega-drought conditions across a range of policies, including population growth management, water conservation, water banking, direct reuse of RO reclaimed water, and water augmentation.
London's ability to remain a world-leading city in an increasingly globalised economy is dependent on it being an efficient, low-risk place to do business and a desirable place to live. However, increasing climate risk from flooding, overheating and water scarcity threatens this, creating the need for adaptation. An adaption pathway describes a structured sequence of adaptation decisions that are designed to manage climate risk in a wide range of possible future conditions.
This article describes the key challenges and opportunities in modeling and optimization of biomass-to-bioenergy supply chains. It reviews the major energy pathways from terrestrial and aquatic biomass to bioenergy/biofuel products as well as power and heat with an emphasis on "drop-in" liquid hydrocarbon fuels. Key components of the bioenergy supply chains are then presented, along with a comprehensive overview and classification of the existing contributions on biofuel/bioenergy supply chain optimization.