The development and improvement of urban infrastructure is impossible without modernization of life support systems. One of such systems is the water supply system, which belongs to the most energy-intensive facilities in housing and utilities and industrial sector. The main electric power consumers in the water supply system are power units of pumping stations (PS), i.e. centrifugal-type pumps (CP). The purpose of PS is to provide the required pressure and volume of water supply for consumers, as regulated by the requirements of the SNIP (Construction Norms and Regulations). Meeting such purpose requires a certain input of material, energy and financial resources. For both the State as a whole and individual consumers, it is beneficial to solve the problem of ensuring water supply with minimum resource inputs. The optimization of the parameters of functioning of individual elements of the water supply system cannot solve the overall problem of its efficient operation as a whole, as the core elements of water supply system (PS, distribution pipework and consumers) significantly influence each other, generating a number of interrelated deterministic and stochastic processes. The noted feature is consistent with the basic principle of system analysis, i.e. the irreducibility of the response of a complex system to the sum of the responses of its individual elements. The problem at hand requires a comprehensive solution using the methods of exact and natural sciences, as well as engineering, economic and sociological approaches.
The objective of this work is to optimize the choice of power units and the mode of their operation in the booster PS (BPS) of the water supply system with a reserve tank. The authors developed an optimization mathematical model of PS in the form of a non-linear, multi-criteria, partially integral mathematical programming problem. In accordance with the -restriction method, one function in the set of objective functions of a multi-criteria task (cost of electricity to ensure the daily water supply) was chosen as objective function, with the rest presented as optimization problem constraints. The data necessary for the formulation of the optimization problem, such as the structure of daily water consumption by consumers and the resistance of the network, were found based on the results of a full-scale experiment. The adopted approach provided both mathematical rigor in the problem formulation and solution, and the accounting for actual data on consumer behavior and the state of water supply network.
The processing of the full-scale experiment data was carried out by statistical methods for analyzing non-stationary random processes implemented in the STATISTICA program. The optimization procedure was carried out using the genetic algorithm method implemented in the MATLAB program.
A comparison was carried out of the optimum designs for the operation of BPS based on various CPs, which made it possible to significantly increase the energy efficiency of the water supply system due to the CP operation at the highest possible efficiency rates, minimization of the number of CPs and the size of the reserve tank, as well as the selection of the optimum CP working speed.
|Position of speaker||Заведующий кафедрой водоснабжения, водоотведения и санитарной техники|
|Affiliation of speaker||Academy of Construction and Architecture of V.I. Vernadsky Crimean Federal University|
|Publication||IOP Conference Series: Earth and Environmental Science|