А. М. Шахновський, О. О. Квітка, В. О. Овсянкіна


Improving the process of initial design data preparation at the stage of preliminary design of sustainable indusrtrial water networks (including natural water and wastewater treatment networks, water usage networks, as well as waste collection & disposal networks). An effective synthesis of optimal chemical-engineering systems based on the process integration paradigm requires, first of all, the proper quality of the initial data for the design. Evidence-based principles for the collection and processing of input data based on methods of mathematical statistics were proposed. Procedures for the preparation of initial grassroot/retrofit design data were developed. The purpose of procedures developed was compilation of water balances, parametric identification of mathematical models of water users, water treatment units and other units of the water management networks, etc. The problem of collecting and processing the initial data for the industrial water economy networks design (including water usage networks, wastewater collection, disposal and treatment networks as well as water conditioning and purification networks) in the absence of a systematic accumulation of such data at the enterprise was raised. The proposed systematic scientific approach was based on the methods of mathematical statistics. The proposed approach provides the formalization of knowledge for creating computer-aided systems of water economy sustainable design. In order to support decision-making at the preliminary design research stage, the specialized software was developed. The developed software was a component of a computer-aided system of water networks design based on the principles of process integration in accordance with the sustainable development paradigm. The proposed concepts of a priori analysis at the preliminary design stage was illustrated by an industrial case study. As an example, the identification of mathematical models of a pharmaceutical enterprise water usage units was presented.


water economy; sustainable design; initial data preparation; structural optimization; mathematical model; statistical methods



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