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    Cement composites with replacement of natural aggregates by recycled glass from photovoltaic panels
    (Elsevier, 2025-09-12) Eštoková, Adriana; Dvorský, Tomáš; Hluštík, Petr; Hospodárová, Viola; Foltýn, Jan; Jaš, Martin; Máčalová, Kateřina; Václavík, Vojtěch
    The paper presents the results of an experimental study on the use of recycled glass from photovoltaic panels as a 100% replacement for natural aggregate in cementitious composites. In addition, replacing natural aggregate with RGA significantly improves insulation by reducing thermal conductivity and diffusivity, reduces water adsorption, reduces water consumption, metal depletion and soil encroachment, and improves moisture resistance due to reduced porosity. The results highlight the complex balance between performance benefits and environmental impacts of integrating RGA into cementitious composites.
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    Using artificial neural network models to assess water quality in water distribution networks
    (Elsevier, 2014-04-30) Cuesta Cordoba, Gustavo Andres; Tuhovčák, Ladislav; Tauš, Miloslav
    The purpose of the research is to assess chlorine concentration in WDS using statistical models based on ANN in combination with Monte-Carlo. This approach offers advantages in contrast to the generally use methods for modeling of chlorine decay in drinking water systems until now. The model was tested on one specific location using the hydraulic and water quality parameters such as flow, pH, temperature, etc. The model allows forecasting chlorine concentration at selected nodes of the water supply system. The results obtained in these selected nodes allow then to compare the chlorine concentration with EPANET in the system under assessment.
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    Optimizing Sludge Management at the Municipal Solid Waste Incinerator—A Case Study
    (MDPI AG, 2018-08-06) Raček, Jakub; Anferova, Natalia; Hluštík, Petr; Hlavínek, Petr
    Sludge disposal is becoming an issue at the municipal solid waste incinerator (MSWI), especially for environmental and economic reasons. This paper describes a case study of the optimization of the sludge management (SM) system at the MSWI in the Czech Republic. The original concept of SM at MSWI was designed as waste-free. However, the present operation indicates that there is a need to carry out regular extraction and disposal of sludge settling at the bottom ash tank and the bottom of the retention basin. The current status of SM causes problems not only in terms of operation but it also entails significant financial costs given the necessary regular cleaning of tanks. The aim of the applied research presented in this paper is SM optimization by a mobile sludge dewatering (DW) press unit with optimal polymer combination for DW.
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    Water quality comparison for various drainage systems for 2000 equivalent population
    (IOP Publishing, 2020-02-07) Hluštík, Petr; Raclavský, Jaroslav
    The article deals with the comparison of wastewater quality in gravity and alternative drainage systems. The gravity drainage systems include combined and sanitary sewerage systems, the alternative systems encompass pressure and vacuum sewerage systems. The difference in the quality of wastewater conveyed to a wastewater treatment plant is influenced by the relevant sewerage system, its technical condition and regular maintenance. The objective of the article is to highlight the differences in wastewater quality with respect to BOD, COD, SS, NH4, Nt and Pct indicators based on the chemical analyzes conducted over several years of operation. The comparison is made for selected municipalities in the Czech Republic in 2005-2019 for various sewerage systems.
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    Main parameters of a wastewater treatment plant up to 2000 PE in the Czech Republic
    (IOP Publishing, 2020-02-07) Hluštík, Petr
    The article deals with optimising the design parameters of wastewater production and specific pollution production in wastewater treatment plants up to 2,000 PE. The objective of this article is to determine more precise design values applicable to WWTP calculations and different drainage systems on the basis of statistical evaluation of individual water quality indicator analyses.