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Topic Review
Biography
Topic Review
Recent Advances in Membrane Distillation Module Configurations
Membrane Distillation (MD) is a membrane-based, temperature-driven water reclamation process. While research emphasis has been largely on membrane design, upscaling of MD has prompted advancements in energy-efficient module design and configurations. Apart from the four conventional configurations, researchers have come up with novel MD membrane module designs and configurations to improve thermal efficiency. While membrane design has been the focus of many studies, development of appropriate system configurations for optimal energy efficiency for each application has received considerable attention, and is a critical aspect in advancing MD configurations. This review assesses advancements in modified and novel MD configurations design with emphasis on the effects of upscaling and pilot scale studies. Improved MD configurations discussed in this review are the material gap MD, conductive gap MD, permeate gap MD, vacuum-enhanced AGMD/DCMD, submerged MD, flashed-feed MD, dead-end MD, and vacuum-enhanced multi-effect MD. All of these modified MD configurations are designed either to reduce the heat loss by mitigating the temperature polarization or to improve the mass transfer and permeate flux. Vacuum-enhanced MD processes and MD process with non-contact feed solution show promise at the lab-scale and must be further investigated. Hollow fiber membrane-based pilot scale modules have not yet been sufficiently explored. In addition, comparison of various configurations is prevented by a lack of standardized testing conditions. We also reflect on recent pilot scale studies, ongoing hurdles in commercialization, niche applications and energy efficiency of the MD process.
822
28 Jan 2022
Topic Review
Recent Advances in Predictability and Prediction Using PDE-Based, AI-Powered, and Idealized Generalized Lorenz Models
In recent years, substantial progress has been achieved in the domain of atmospheric predictability and forecasting, harnessing both traditional partial differential equation (PDE)-based methods and advanced artificial intelligence (AI) technologies. Drawing on our recent comprehensive review of predictability studies, this investigation explores the potential for extending the two-week predictability limit initially proposed in the 1960s. While PDE-physics-based systems have consistently provided valuable insights, the emergence of AI-powered models, particularly those employing deep learning and transformer-based architectures, has paved the way for extending prediction horizons. These AI models have demonstrated performance that is comparable to, or even surpasses, traditional methods in short-term forecasts (3-14 days) and hold significant promise for addressing the challenges of subseasonal prediction. The synergy of AI and traditional approaches also underscores the potential for cost-effective, long-range weather predictions, with reports indicating promising predictions beyond 30 days. Furthermore, the development of generalized Lorenz models, incorporating time-varying parameters, has deepened our understanding of the coexistence of chaotic and regular behaviors with distinct predictability, challenging the conventional perception of weather systems as purely chaotic. This dual nature introduces fresh perspectives on long-term predictability and regional dependencies, such as seasonal variations and blocking patterns. In addition to reviewing recent advancements, this study proposes future research directions aimed at enhancing predictive accuracy and further exploring the limits of predictability in the realms of both weather and climate modeling.
99
03 Sep 2024
Topic Review
Recent Advances in Wind Turbine Noise Research
A review of current research on many aspects of wind turbine noise generation and propagation, as well as its effects on humans and fauna has been undertaken. Research areas considered include turbine noise generation, turbine designs to minimize noise generation, noise propagation to surrounding communities, effects of noise on surrounding communities (including fauna) and regulation (including compliance checking).
731
09 Dec 2021
Topic Review
Recent Trends in Foliar Nanofertilizers
It is estimated that 40 to 70 per cent, 80 to 90 per cent and 50 to 90 per cent of the conventional macronutrients N, P and K applied to soil are lost, respectively, resulting in considerable resource losses. Compared with traditional fertilizers, nano fertilizers have small volume (1-100 nm) and high specific surface area, and have the advantages of controlled release, high nutrient utilization, low cost and relatively small environmental pollution. The application of nanofertilizers is an emerging area of agricultural research and is an attractive and economical alternative to traditional fertilizers that could sustainably increase global food productivity. Foliar fertilization is a popular method to meet the needs of higher plants. Due to the small amount of leaf application, nutrient absorption is faster than the soil, and environmental pollution is relatively small, so it is more popular in plants. It can be seen that nano-fertilizer and foliar fertilization are the focus of attention at present, and the study on the foliar application of nano-fertilizer is not as extensive as that of soil application.
421
12 Dec 2023
Topic Review
Reconstruction of Remotely Sensed LST
Land surface temperature (LST) is an important environmental parameter in climate change, urban heat islands, drought, public health, and other fields. Thermal infrared (TIR) remote sensing is the main method used to obtain LST information over large spatial scales. However, cloud cover results in many data gaps in remotely sensed LST datasets, greatly limiting their practical applications. Many studies have sought to fill these data gaps and reconstruct cloud-free LST datasets over the last few decades. This paper reviews the progress of LST reconstruction research. A bibliometric analysis is conducted to provide a brief overview of the papers published in this field. The existing reconstruction algorithms can be grouped into five categories: spatial gap-filling methods, temporal gap-filling methods, spatiotemporal gap-filling methods, multi-source fusion-based gap-filling methods, and surface energy balance-based gap-filling methods. The principles, advantages, and limitations of these methods are described and discussed. The applications of these methods are also outlined. In addition, the validation of filled LST values’ cloudy pixels is an important concern in LST reconstruction. The different validation methods applied for reconstructed LST datasets are also reviewed herein. Finally, prospects for future developments in LST reconstruction are provided.
763
24 Nov 2021
Topic Review
Recovery of Palladium from the Spent Automobile Catalysts
The spent automobile catalysts (SAC) is the major secondary source of palladium and the production of SAC is increasing rapidly over years. The price of palladium keeps rising over the years, which demonstrates its preciousness and urgent industrial demand. Recovering palladium from the spent automobile catalysts benefits a lot from economic and environmental protection aspects. Hydrometallurgical methods such as chloride leaching with oxidants possess a high selectivity of palladium and low consumption of energy, and are cost-effective and flexible for different volume feeds compared with pyrometallurgical methods. The recovery ratios of palladium and other platinum-group metals should be the focus of competition since their prices have been rapidly increased over the years, and hence more efficient extractants with high selectivity of palladium even in the complexed leachate should be proposed in the future.
1.8K
12 Apr 2022
Topic Review
Recovery of Phosphorus and Metals from Waste Ashes
Sewage sludge ash (SSA) is a rich source of P, while municipal solid waste incineration fly or bottom ashes (MSWI-FA, MWSI-BA) are rich in metals, especially Zn, Pb, and Cu.
159
24 Nov 2023
Topic Review
Recovery of phosphorus from wastewater
Mined phosphate rock is the largest source of phosphorus (P) for use in agriculture and agro-industry, but it also is a finite resource irregularly distributed around the world. Alternatively, waste water is a renewable source of P, available at the local scale. In waste water treatment, biological nitrogen (N) removal is applied according to a wide range of variants targeting the abatement of the ammonium content. Ammonium oxidation to nitrate can also be considered to mitigate ammonia emission, while enabling N recovery. Different alternatives exist for coupling biological N treatment and phosphate precipitation when treating waste water in view of producing P-rich materials easily usable as fertilisers. Phosphate precipitation can be applied before (upstream configuration), together with (concomitant configuration), and after (downstream configuration) N treatment; i.e., chemically induced as a conditioning pre-treatment, biologically induced inside the reactor, and chemically induced as a refining post-treatment. Characteristics of the recovered products differ significantly depending on the case studied. Currently (year 2020), precipitated phosphate salts are not typified in the European fertiliser regulation, and this fact limits marketability. Nonetheless, this topic is in progress according to potential requirements to be complied by these materials. Integrated approaches for waste water treatment including P recovery must consider significant needs for subsequent agronomic valorisation of the recovered phosphate salts following the paradigms of the circular economy, sustainability, and environmental protection.
741
27 Oct 2020
Topic Review
Recovery of Rare Earth Elements
Rare earth elements (REEs) as defined by the International Union of Pure and Applied Chemistry (IUPAC) include metals characterized by similar properties, namely scandium (Sc), yttrium (Y) and all the lanthanides. The latter correspond to the chemical elements listed in the periodic table of Mendeleev that have an atomic number ranging from 57 for lanthanum (La) to 71 for lutetium (Lu). REEs are often subdivided into “light rare earths elements” (LREEs) and “heavy rare earths elements” (HREEs) according to their atomic numbers. Yttrium is oftentimes associated with HREEs due to chemical similarities, including ionic radii. In some cases, the elements from samarium to terbium are considered as the “middle rare earth elements” (MREEs).
914
03 Aug 2021
Topic Review
Recyclable Design of Wooden Furniture
With the rapid development of the economy and the change in people’s aesthetic concepts, the renewal of furniture has become more and more frequent. Among the huge amount of used furniture, solid wood and wood-based panel furniture account for the vast majority, but the imperfective recycling system and insufficient recycling efforts result in serious waste, which is contrary to the low-carbon transition and sustainable development means.
434
21 Dec 2023
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