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Now showing items 11-17 of 17
Investigation and performance analysis of solar still with energy storage materials: An energy- exergy efficiency analysis
(
Elsevier Ltd
, 2022 , Article)
Researchers have attempted different Energy storage materials (ESM) in solar stills (SS) to improve distillate yield. In this experimental work, an attempt was made to increase the distillate yield & efficiency of SS, using ...
Phase change materials for thermal energy storage applications in greenhouses: A review
(
Elsevier Ltd
, 2022 , Article)
Greenhouses represent one of the largest energy-demanding sectors, requiring energy for indoor environment control for plant growth and crop yield. Thermal energy storage using phase change materials (PCMs) has been ...
Bioelectricity generation from treatment of petroleum refinery wastewater with simultaneous seawater desalination in microbial desalination cells
(
Elsevier Ltd
, 2017 , Article)
Petroleum refinery wastewater (PRW) contains a high concentration of pollutants and may pose serious environmental risks. Conventional treatment methods of PRW are energy intensive, and thus there is an urgent need to ...
Optimized long-range corrected density functionals for electronic and optical properties of bare and ligated CdSe quantum dots
(
American Chemical Society
, 2017 , Article)
The reliable prediction of optical and fundamental gaps of finite size systems using density functional theory requires to account for the potential self-interaction error, which is notorious for degrading the description ...
Research frontiers in sustainable development of energy, water and environment systems in a time of climate crisis
(
Elsevier Ltd
, 2019 , Article)
Sustainable energy conversion and management processes increasingly require an integrated approach, especially in the context of addressing the climate crisis. This editorial puts forth related research frontiers based on ...
Joint learning and optimization for Federated Learning in NOMA-based networks
(
Elsevier
, 2023 , Article)
Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ...
Energy assessment strategies in carbon-constrained industrial clusters
(
Elsevier Ltd
, 2022 , Article)
With the increasing climate change concerns, governments around the world are working on setting targets to mitigate its upsurge. Greenhouse gases (GHG), more specifically carbon dioxide (CO2), are the highest contributors ...