Efficient Energy Management for the Smart Sustainable City Multifloor Manufacturing Clusters: A Formalization of the Water Supply System Operation Conditions Based on Monitoring Water Consumption Profiles

Liudmyla Davydenko, Nina Davydenko, Agnieszka Deja (), Bogusz Wiśnicki and Tygran Dzhuguryan
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Liudmyla Davydenko: Department of Electrical Engineering, Faculty of Architecture, Civil Engineering and Design, Lutsk National Technical University, 75 Lvivska Street, 43018 Lutsk, Ukraine
Nina Davydenko: James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, Scotland, UK
Agnieszka Deja: Faculty of Economics and Transport Engineering, Maritime University of Szczecin, 1/2 Wały Chrobrego Street, 70-507 Szczecin, Poland
Bogusz Wiśnicki: Faculty of Economics and Transport Engineering, Maritime University of Szczecin, 1/2 Wały Chrobrego Street, 70-507 Szczecin, Poland
Tygran Dzhuguryan: Faculty of Economics and Transport Engineering, Maritime University of Szczecin, 1/2 Wały Chrobrego Street, 70-507 Szczecin, Poland

Energies, 2023, vol. 16, issue 11, 1-25

Abstract: This study is devoted to improving the energy efficiency of urban infrastructure systems (UISs), in particular, the centralized water supply of a city multifloor manufacturing cluster (CMFMC), by developing the principles of effective energy consumption management. The CMFMCs are located in the residential area of a megapolis and include manufacturing and service enterprises, residential and non-residential buildings, and a city logistics node. Demand monitoring and identification of the influence of seasonal and social environmental factors on its fluctuations is considered as a tool for identifying changes in the operating conditions of the water supply system (WSS) for the CMFMC facilities. To identify the typical operating conditions of water supply facilities, an approach is proposed that involves the analysis of daily water consumption profiles (WCPs). The formation of a database, the formation of groups of the same type of daily WCPs, and the construction of typical daily WCPs for typical groups and their description are the main stages of the proposed approach. The database contains a set of classification characteristics that describe the daily water consumption and its unevenness, as well as the shape of the daily WCP. The principal component analysis was applied to determine the dominant components of daily water consumption. A set of morphometric parameters was used to describe the shape of the daily WCPs. The methods of cluster and discriminant analysis were used to identify the influence of seasonality and social factors on water consumption and to form groups of the same type of daily WCPs. The analysis of sets of similar type of daily WCPs for typical days of typical seasons was carried out for a formalized description of the typical operating conditions of water supply facilities. The results of the analysis are the clarification of the equations of the dominant components of daily water consumption, the determination of the average values of the characteristics of daily water consumption, and the construction and description of typical daily WCPs for typical operating conditions of water supply facilities. The research results were obtained on the basis of the data of the monitoring systems for water supply enterprises in Ukraine and Poland in 2021–2022. The obtained results are the basis for planning the water supply process and adjusting the operation modes of WSS pumping stations for the CMFMC, as well as planning power consumption for typical operating conditions, which will contribute to increasing the efficiency of water and electricity use.

Keywords: city multifloor manufacturing cluster; energy efficiency; demand monitoring; cluster analysis; discriminant analysis; water consumption profile; management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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