1. Back to the future with emerging iron technologiesAndreea Oarga-Mulec, Uroš Luin, Matjaž Valant, 2024, pregledni znanstveni članek Opis: Here is a comprehensive overview of iron's potential in low-carbon energy technologies, exploring applications like metal fuel combustion, iron-based batteries, and energy-carrier cycles, as well as sustainable approaches for production and recycling with a focus on reducing environmental impact. Iron, with its abundance, safety, and electrochemical characteristics, is a promising material to contribute to a decarbonized future. This paper discusses the advancements and challenges in iron-based energy storage technologies and sustainable iron production methods. Various innovative approaches are explored as energy storage solutions based on iron, like advancements in thermochemical Fe–Cl cycles highlight the potential of iron chloride electrochemical cycles for long-term high-capacity energy storage technology. Additionally, the utilization of iron as a circular fuel in industrial processes demonstrates its potential in large-scale thermal energy generation. Sustainable iron production methods, such as electrolysis of iron chloride or oxide and deep eutectic solvent extraction, are investigated to reduce the carbon footprint in the iron and steel industry. These findings also show the importance of policy and technology improvements that are vital for the widespread use and recycling of iron-based tech, stressing the need for collaboration toward a sustainable future.
Ključne besede: iron's potential, low-carbon energy technologies
Objavljeno v RUNG: 02.07.2024; Ogledov: 234; Prenosov: 2
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2. Time-series analysis of oxygen as an important environmental parameter for monitoring diversity hotspot ecosystems : an example of a river sinking into the karst undergroundSaptashwa Bhattacharyya, Janez Mulec, Andreea Oarga-Mulec, 2023, izvirni znanstveni članek Opis: Predicting variations in dissolved oxygen concentration (DO) is important for management and environmental monitoring of aquatic ecosystems. Regression analyses and univariate and multivariate time-series analyses based on autoregressive methods were performed to investigate oxygen conditions in the Pivka River, Slovenia. The monitoring site was established upstream where the river sinks into the karst cave Postojnska jama, which hosts one of the richest subterranean faunas yet studied worldwide. It was found that abnormal variations of DO started to be noticeable at values of DO < 3 mg/L and became more pronounced until the ecosystem reached fully anoxic conditions. The abnormal fluctuations during the critical summer period were due to environmental conditions, organic load and resident biota. Predictions for future detection of anomalies in DO values were made from stable residuals of the measured data, and it was demonstrated that the model could be used to obtain a reliable estimate for a short period, such as one day. The example presented an analysis pipeline based on specific and established threshold DO values, and it is particularly important for ecosystems with diversity hotspots where prolonged low DO values can pose a threat to their biota.
Ključne besede: karst (geology), aquatic ecosystems, dissolved oxygen, modelling, prediction
Objavljeno v RUNG: 05.09.2023; Ogledov: 1132; Prenosov: 5
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6. Life cycle assessment of black and greywater treatment solutions for remote and sensitive areasAndreea Oarga-Mulec, Janez Turk, Petra Gerbec, Petter D. Jenssen, Katja Malovrh Rebec, Matjaž Valant, 2023, izvirni znanstveni članek Ključne besede: life cycle assessment, sanitation systems, sustainability, remote areas, circular economy
Objavljeno v RUNG: 20.02.2023; Ogledov: 1909; Prenosov: 3
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