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"Optimization of biological enzymes combined with Fe<sup>2+</sup>-activ" by Xu Kang, Chaolin Li et al.

Waste activated sludge (WAS) conditioning is crucial for enhancing sludge dewaterability and effectively reducing the management cost. The feasibility of bio-enzymes with Fe2+-activated advanced oxidation processes (AOPs) for WAS conditioning was investigated in this study. Two representative bio-enzymes, α-amylase and neutral protease, and two typical AOPs, the Fenton system and Fe2+/Ca(ClO)2 system, were chosen. The medical dosages of AOPs were first optimized by single-factor experiments. On this basis, the dosages of bio-enzyme, ferrous ion, and oxidant were optimized using the response surface method (RSM). Results showed that neutral protease combined with the Fe2+/Ca(ClO)2 system performed better in CST and SRF reduction rates while reducing the medical dosages of AOPs. Under the optimal conditions of neutral protease dosage of 20.9 mg/g TSS, Fe2+ dosage of 0.64 mmol/g TSS, and Ca(ClO)2 dosage of 0.54 mmol/g TSS, the reduction in sludge CST and SRF reached 84.81 % and 94.06 %, ....

Advanced Oxidation Process , Io Enzyme , Esponse Surface Method , Ludge Conditioning ,

"Optimisation of a renewable cooling and heating system using an intege" by Haoshan Ren, Zhenjun Ma et al.

Abstract
A new simulation-based strategy for optimal design of a renewable cooling and heating system that includes a desiccant wheel, a photovoltaic/thermal-solar air collector (PV/T-SAC) and a thermal storage unit using phase change material (PCM) is presented in this study. The strategy is formulated by integrating an integer-based genetic algorithm (IGA) with the response surface method (RSM), in order to tackle the system nonlinearity with manageable computational costs. The PV/T-SAC is used to provide thermal energy for desiccant wheel regeneration and space heating in cooling and heating seasons, respectively. The thermal storage unit is used to mitigate the intermittency of solar energy. The twenty-year system life cycle cost (LCC) is employed as the optimisation objective. The influence of four economic factors, i.e. PV/T price, PCM price, electricity purchase price and electricity sale price on the optimal design and LCC of this system is also investigated. The resul ....

Integer Based Genetic Algorithm , Life Cycle Analysis , Optimal Design , Enewable Cooling And Heating , Esponse Surface Method , Thermal Energy Storage ,

"Direct contact membrane distillation for liquid desiccant regeneration" by Jingjing Liu, Haoshan Ren et al.

Liquid desiccant cooling (LDC) systems are being widely considered as a promising alternative for energy savings and the regeneration is one of the most significant processes of the LDC systems. This paper presents a direct contact membrane distillation (DCMD) regenerator for liquid desiccants regeneration of LDC systems and fresh water production simultaneously. The novelty of this study is to use the response surface method to establish models to predict the DCMD regeneration performance with highly concentrated lithium chloride solutions based on the experimental investigation. The interactive effects of the operating parameters, i.e. initial feed concentration, feed inlet temperature, distillate inlet temperature, and feed and distillate flow rates were studied and the optimal conditions of the DCMD regenerator to maximize the feed concentration increase and transmembrane water flux were identified. The experimental results showed that stable regeneration performance and water prod ....

Direct Contact Membrane Distillation , Iquid Desiccant Regeneration , Lithium Chloride , Esponse Surface Method , நேரடி தொடர்பு சவ்வு வடித்தல் ,