Abstract

Some multilevel decision-making algorithms have been developed to provide optimal control over the energy and resource efficiency and environmental safety of a chemical energotechnological system designed for processing apatite–nepheline ore wastes and composed of a grinder, a granulator, a roasting conveyor machine, and an electric ore-smelting furnace (EOSF). The mutually dependent set of parameters of wet granules at the outlet from the tray granulator, roasted granules at the outlet from the roasting conveyor machine, and granules loaded into the EOSF and the characteristics of initial finely dispersed technogenic raw materials is taken into account alongside the effect of these waste-processing indices on the quality and purity of the finished product, namely, yellow phosphorus. Descriptive and mathematical formulations are given for the problem of optimal control over the energy and resource efficiency of a complex multistage chemical energotechnological system for processing apatite–nepheline ore wastes with the production of yellow phosphorus with consideration for the spatial and temporal interdependence between the chemical and energotechnological processes occurring in this system. One complex energy and resource efficiency criterion is the prime cost of electrical and heat energies, water, and coke spent on processing apatite–nepheline ore wastes in the considered chemical energotechnological system. It has been established that the optimal system functioning regime intensifies all the chemical energotechnological processes, decreases the energy and coke consumption, and increases the quality and purity of the finished product (i.e., yellow phosphorus). This study has resulted in a solution for the urgent scientific and practical problem of improving the energy and resource efficiency and environmental safety of a complex system for processing technogenic apatite–nepheline ore wastes via intensifying the chemical energotechnological processes occurring in this system.

中文翻译：

---

计算机辅助决策系统，用于优化处理磷灰石—霞石矿石废物的化学能源技术系统的能源和资源效率

摘要

已经开发了一些多级决策算法，以提供对能源，资源效率和环境安全性的最佳控制，该能源技术系统设计用于处理磷灰石-霞石矿石废料，由粉碎机，造粒机，焙烧输送机和电矿石熔炼炉（EOSF）。盘式造粒机出口处的湿颗粒，焙烧输送机出口处的烤颗粒，装入EOSF的颗粒以及初始的细分散技术原料的特性等相互依赖的参数集也要考虑在内。这些废物处理指标对成品（即黄磷）的质量和纯度的影响。针对复杂的多阶段化学能技术系统的能量和资源效率的最佳控制问题，给出了描述性和数学公式，并考虑了化学元素和化学元素之间在空间和时间上的相互依赖性，从而处理磷灰石和霞石矿石废物并产生黄磷。在该系统中发生的能源技术过程。一个复杂的能源和资源效率标准是在经过考虑的化学能技术系统中，处理磷灰石-霞石矿石废物所花费的电能和热能，水和焦炭的主要成本。已经确定，最佳的系统功能体系会增强所有化学能工艺过程，降低能源和焦炭消耗，并提高了成品（即黄磷）的质量和纯度。这项研究为解决紧迫的科学和实际问题提供了解决方案，该问题是通过加强该系统中发生的化学能技术过程来提高处理磷灰石-霞石矿石废料的复杂系统的能源和资源效率以及环境安全的。