5results about How to "Reduce wasted water" patented technology

The invention provides a method for preparing low-sulfate rare earth carbonate by using a mixed precipitator, and belongs to the technical field of hydrometallurgy. According to the method provided by the invention, after a sulfuric acid rare earth solution and a mixed precipitator solution are added in a parallel flow manner, a heat preservation reaction is performed. The mixed precipitant is used for precipitation, the alkalinity of the precipitant is improved, and carbon emission and wastewater amount in the precipitation process are effectively reduced. The method solves the problem of high content of sulfate radical impurities in the conversion process of rare earth chloride by a mixed sulfuric acid rare earth feed liquid ammonium bicarbonate precipitation method, and solves the problem of high cost caused by adoption of a related organic extraction agent in the conversion process of an extraction method. In the obtained rare earth carbonate, the REO content is 50-65%, and the sulfate radical content is 1t; and 0.01% of the total weight.

The invention relates to a separation and purification method in chemical production, and provides an energy-saving and efficient nitro-aromatic hydrocarbon separation and purification method. Gravity settling, alkali washing, cooling and filtering are combined, a liquid-liquid micro-mixer and cooling and filtering are used for replacing traditional tedious multi-stage neutralizing and water washing operation of a multi-kettle series connection or static mixer, impurities such as residual acid, phenols, sodium salt and water in the acidic nitro-aromatic hydrocarbon are efficiently removed, the emulsification phenomenon is avoided, and the quality of the acidic nitro-aromatic hydrocarbon is improved. And the treated material can ensure long-term stable operation of a subsequent rectification system. The method does not need a two-stage washing process in the prior art, and is low in material consumption, energy consumption and wastewater amount; the liquid-liquid mixer is used for the alkali washing process, and the alkali washing effect is remarkably improved; water and salts in the crude nitro-aromatic hydrocarbon are removed in one step in a fiber filter element cooling and filtering mode, and the separation efficiency is high; the whole set of separation and purification device is a totally-closed system device, is small in occupied area and simple to operate, and the purification effect is remarkably improved compared with a conventional process.

The present invention provides a risk scheduling method taking into account the trading of large and small hydropower generation rights. The method first comprehensively evaluates different large and small hydropower combinations based on four indicators: installed capacity, water complementarity, network loss cost and regulation capacity, and selects the optimal trading combination; then, taking the optimal trading combination as the research object, a large hydropower bidding model is established with reference to the market demand function in econometrics, and the logarithmic demand relationship is used to simulate the functional relationship between large hydropower quotations and trading electricity; finally, the optimal proportion of contract, spot and power generation rights trading electricity is determined according to the Sharpe ratio of large hydropower. The effectiveness of the results is proved by the example analysis of Nuozadu and various small hydropower groups, which effectively reduces the abandonment of small hydropower, and can increase the income of large hydropower within a certain risk range, so as to achieve the goal of mutual benefit and full utilization of water resources.

The invention belongs to the field of multi-energy complementary coordinated dispatching, and discloses a water-wind-light day-ahead power generation plan optimization method coupled with an interpretable discarding rule in order to solve the key problem that unreasonable water discarding is easily caused when cascade hydropower stations respond to new energy flexibility requirements. Firstly, upstream and downstream reservoir linkage adjusting capacity is considered, and a cascade hydropower station discarding rule is provided; on the basis, a water-wind-light day-ahead power generation plan optimization model is constructed, and meanwhile water abandoning rationality and flexible supply-demand balance are guaranteed; and proposing a standard discarding rule linearization method based on generalized disjunction programming to convert the model into a mixed integer linear programming model for solving. According to the method, the abandoned water of the cascade hydropower station can be effectively reduced, the interpretability of the abandoned water is ensured, and a technical support is provided for reasonably formulating a water-wind-light day-ahead power generation plan.

The present application relates to a kind of canal system water gate collaborative scheduling method and system based on supply and demand water prediction, belong to water conservancy engineering intelligent scheduling technical field.Pass through the supply and demand water quantity prediction model of multi-time scale of multi-source data fusion construction, and output water demand prediction result, and the water supply of water source;According to the water supply of each period, water demand carries out supply and demand balance analysis;Construction irrigation area water resources scheduling model, formulate irrigation area water resources scheduling scheme;With the minimum channel water loss, multi-water gate collaborative scheduling as goal establishes irrigation area global water distribution coordination model, the sum of each branch canal and following channel water distribution is approximately equal to water distribution main canal design flow, water distribution flow is evenly used as constraint condition, carries out global optimization to collaborative scheduling strategy.The present application realizes the dynamic collaborative scheduling of multiple water gates in the region by multi-source data fusion, accurate prediction of water demand, inflow prediction and multi-objective collaborative optimization algorithm, improves water resources utilization efficiency and scheduling reliability.