The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.
Supporting enterprises to master technology plays an important role in enhancing endogenous technological capacity of enterprises and promoting economic development based on science, technology and innovation. In Vietnam, the Government has paid attention and put priorities on supporting enterprises to improve their technological mastery. However, the technological level of Vietnamese enterprises is still low, negatively affecting the position and competitiveness of enterprises as well as economic development of the country. Based on assessment of the current status of technology mastering support policies, this paper proposes policy recommendations on improving technology mastery of enterprises in accordance with Vietnam's conditions in the context of the fourth industrial revolution. The research conducted a survey to investigate enterprises most of whom are in the mechanical industry to collect information on the current situation of enterprises' technology and their benefits from supporting policies on enterprises' technology mastery. Questionnaires were sent to 132 enterprises with 89 responses. Based on survey results, the authors suggest that the Vietnamese Government should create favorable conditions for enterprises to set up a research and development department in order to accelerate the process of research, improvement, decoding, mastering and innovation of technologies; support businesses in seeking technological information, improving the procedures of credit incentives for businesses in technology innovation and transfer, improving the capacity of human resources to master and apply scientific and technological advances; and create a more favorable legal corridor to accelerate the process of applying technologies of the fourth industrial revolution into production and business.
In this study, the best RHB (rice husk biochar) was investigated through the effect of pyrolysis synthesis processes and modifications. Five biochars were synthesized from rice husk waste materials at different pyrolysis temperatures (400 to 600 °C) in oxygen-limited conditions. The biochars were modified by acids to remove minerals on the surface area. The characteristics of the biochars were determined including surface morphology, specific surface area, and functional groups. The herbicide adsorption was accomplished by the batch equilibration method. The result indicated that the biochar that synthesized 500 °C for 6 h had the highest maximum adsorption capacity. The optimum RHB was biochar modified with HF acid. The optimum biochar had less or no minerals and it achieved abundant functional groups on the surface areas. The pore volume distributions in pore sizes of micropores and narrow mesopores played an important role to perform the uptake of the herbicides, they were in the range of 7.90 % and 59.26 %, respectively. The high-efficiency removals of atrazine and 2,4-D by optimum biochar were 82.70 % and 95.10 %, respectively. The rice husk biochar is a suitable adsorbent to remove herbicides from the aqueous environment.
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