To make good use of the ocean, we must know enough about it. Supported by the Ministry of science and technology of China, the marine physical parameters monitor is developed to obtain real-time marine physical parameters such as temperature, humidity, pressure, rainfall, wind speed, wind direction, solar radiation, water depth, salinity, conductivity and other data. The integrated intelligent service software platform for marine physical property monitoring data is used for real-time collection, storage, historical data analysis, integrated display and other work of these data. As a part of the integrated intelligent service software platform, an improved big data quality control method which comprehensively uses the meteorological industry standards test, least square polynomial fitting, multiple regression and other technologies is proposed in this paper to improve the correct and efficient use of these real-time or historical data in terms of data inspection, correction, reconstruction and quality evaluation, etc. The existing historical data prove the effectiveness of this method.
Abstract. In this work, the neutron flux distribution method to determine the effective multiplication coefficient keff has been numerical analysis by MCNP program. The neutron flux distribution of four multi-sphere system models are calculated, and the characteristic parameter c of each system are fitted with keff, so as to measure the keff of multi-sphere system. And experiment based on reactor system has been carried out to prove the method. Experiment results show that the keff obtained by the neutron flux distribution method are consistent with the experimental measurement results, indicating that the method is feasible and reliable.
With the continuous advancement of market-oriented transaction of distributed photovoltaic (DPV) power generation, the "direct trading model" (DTM) as the most important market-oriented transaction model occupies an increasingly important position, but the DTM economic benefits affected by many uncertainties, the real option method (ROV) can calculate the value of uncertainty factors, so this paper uses the ROV method to evaluate the value of the DPV projects. This paper first constructs the revenue and cost model, then introduces ROV theory to construct the value model with risk factors; secondly, through empirical analysis, it proves that the ROV model can quantify the value of uncertainty factors, and can improve the accuracy of value assessment. Through the sensitivity analysis, we find the trend and degree of the influence of each factor on the value of the project. Finally, we put forward some suggestions for the research results.
The synthesis of C-H-O symbiosis network is considered in EIPs to reduce the amount of raw materials and waste discharge by using internal sources. In the conceptual design stage of C-H-O symbiosis networks, the concept of inherent safety index is introduced and safety factors are considered. Synthesis of C-H-O symbiosis networks based on i-safe index is proposed. Super-structure of C-H-O symbiosis networks was configured in EIPs, then optimization formulation was devised. A nonlinear programming (NLP) optimization model was established. A case study in Guizhou province shows that the method is useful in process decision-making, which could provide data support for early process decision making.
The ever-increasing penetration of wind power has resulted in new problems and challenges to the secure and economic operation of the power system concerned. Given this background, a bi-level transmission system planning model for this purpose is proposed. In the upper level, the objective is to minimize the total cost, the attained transmission planning scheme will be transferred to the lower level. In the lower level, the objective is to minimize the sum of the discharge cost of the energy storage system and the cost of abandoning the wind farm, the discharge cost of the energy storage system and the cost of abandoning the wind farm are transferred to the upper level as feedback. These two levels are implemented interactively and iteratively. Finally, the essential features of the developed model and adopted algorithms are demonstrated by a modified 18-bus test system.
