Chemical,physical and biological methods to convert lignocellulosic waste into value-added products. A review

Environmental Chemistry Letters - Actual agricultural practices produce about 998 million tonnes of agricultural waste per year. Therefore, converting lignocellulosic wastes into energy, chemicals,...     

Microalgae binary culture for higher biomass production,nutrients recycling,and efficient harvesting: a review

Environmental Chemistry Letters - Microalgae are photosynthetic cell factories of global interest for fuels, food, feed, bioproducts, carbon sequestration, waste mitigation, and environmental...     

Production of hydrogen and value-added carbon materials by catalytic methane decomposition: a review

Environmental Chemistry Letters - Dihydrogen (H2), commonly named “hydrogen”, is attracting research interest due to potential applications in fuel cells, vehicles, pharmaceuticals and...     

Carbon dioxide methanation on heterogeneous catalysts: a review

Environmental Chemistry Letters - The Ukraine war has strongly accentuated the ongoing energy and environmental issues, thus requiring a fast development of alternative and more local fuels. For...     

Waste generation in traditional organized bazaars: a case study of organic waste sources in Da Nang City,Viet Nam

Journal of Material Cycles and Waste Management - Traditional organized bazaars are important retail venues in Viet Nam, but there are concerns about their waste management programs. This study...     

A state-of-the-art review on emission characteristics of SI and CI engines fueled with 2,5-dimethylfuran biofuel

Environmental Science and Pollution Research - Currently, the considerable decline in fossil fuel resources and the high rise in vehicle emissions have prompted researchers and governments to...     

微电网电压分层控制与补偿机制研究

微电网技术具有许多优点,然而微电网中的分布式电源自身的不稳定性会导致微电网的运行控制困难,特别是公共连接点处会出现电压不平衡。为了补偿此不平衡电压,提出了分层控制方法。该方法将电网运行控制分为.上下2层,由.上层控制发送控制信号,并由下层控制来实施,此控制信号与正序电压分量和负序电压分量有关;在dq旋转坐标下,依靠同步坐标系锁相环( SRF-PLL)和解耦的双同步坐标系锁相环(DDSRF-PLL)等并网同步技术将微电网同步地接入电网,并通过控制逆变器得到电压幅值。仿真结果表明:分层控制方法能够较好地实现对微电网的控制。     

Accuracy improvement of various short-term load forecasting models by a novel and unified statistical data-filtering method

ABSTRACT

Time-series and machine-learning methods are being strongly exploited to improve the accuracy of short-term load forecasting (STLF) results. In developing countries, power consumption behaviors could be suddenly changed by different customers, e.g. industrial customers, residential customers, so the load-demand dataset is often unstable. Therefore, reliability assessment of the load-demand dataset is obviously necessary for STLF models. Hence, this paper proposes a novel and unified statistical data-filtering method with the best confidence interval to eliminate unexpected noises/outliers of the input dataset before performing various short-term load forecasting models. This proposed novel data-filtering method, so-called the data pre-processing method, is also compared to other existing data-filtering methods (e.g. Kalman filter, Density-Based Spatial Clustering of Applications with Noise, Wavelet transform, and Singular Spectrum Analysis). By using an SCADA system?-based database of a typical 22kV distribution network in Vietnam, NYISO database, and PJM-RTO database, case studies of short-term load forecasting have been conducted with a conventional ARIMA model, an ANN forecasting model, an LSTM-RNN model, an LSTM-CNN combined model, a deep auto-encoder (DAE) network, a Wavenet-based model, a Wavenet and LSTM hybrid model, and a Wavelet Neural Network (WNN) model, which are to validate the novel and unified statistical data-filtering method proposed. The achieved numerical results demonstrate which the accuracy of the aforementioned STLF models can be significantly improved due to the proposed statistical data-filtering method with the best confidence interval of the input load dataset. The proposed statistical data-filtering method can considerably outperform the existing data-filtering methods.     

Removal of estrogens by electrochemical oxidation process

Treatments of estrogens such as Estrone(E1), Estradiol(E2) and Ethinylestradiol(EE2) were conducted using an electrolytic reactor equipped with multi-packed granular glassy carbon electrodes.Experimental results showed that E1, E2 and EE2 were oxidized in the range of 0.45–0.85 V and were removed through electro-polymerization. Observed data from continuous experiments were in good agreement with calculated results by a mathematical model constructed based on mass transfer limitation. In continuous treatment of trace estrogens(1 μg/L), 98% of E1, E2 and EE2 were stably removed. At high loading rate(100 μg/L), removal efficiency of E1 was kept around 74%–88% for21 days, but removal efficiency reduced due to passivation of electrodes. However, removal efficiency was recovered after electrochemical regeneration of electrodes in presence of ozone. Electric energy consumption was observed in the range of 1–2 Wh/m3. From these results, we concluded that the present electrochemical process would be an alternative removal of estrogens.     

Application of WRF-Chem to simulate air quality over Northern Vietnam

Environmental Science and Pollution Research - The WRF-Chem (Weather Research and Forecasting with Chemistry) model is implemented and validated against ground-based observations for meteorological...