A New Method for Selecting the Geometry of Systems for Surface Infiltration of Stormwater with Retention DOI Open Access
Sabina Kordana, Mariusz Starzec

Water, Journal Year: 2023, Volume and Issue: 15(14), P. 2597 - 2597

Published: July 17, 2023

The application of infiltration basins and tanks is one the primary means sustainable stormwater management. However, methods currently used to size these facilities do not take into account a number parameters that have significant impact on their required capacity. In light this, aim this research was develop new method for selecting geometry tanks. Its in initial phase designing management systems will allow assessing validity using such given catchment area. This paper also presents results local global sensitivity analyses examining how changes individual design influence facilities. effectiveness developed model evaluated through example real urban catchment. study based hydrodynamic analysis more than 3000 catchments. plan Statistica software. On other hand, simulations made possible use artificial neural networks designed Python programming language. confirmed as total area, percent impervious type soil within are crucial process can be considered when under Polish conditions. described algorithm by researchers similar models different rainfall data. contribute increasing safety infrastructure.

Language: Английский

Impact of Economic Awareness on Sustainable Energy Consumption: Results of Research in a Segment of Polish Households DOI Creative Commons
Bożena Gajdzik, Magdalena Jaciow, Kinga Hoffmann-Burdzińska

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2483 - 2483

Published: May 22, 2024

This manuscript explores the relationship between economic awareness (as a part of energy awareness) Polish households and their sustainable consumption practices. Sustainable is measured by frequency behaviors such as turning off electrical devices when not in use, removing mobile device chargers from sockets, switching lights leaving room, preferring showers over baths, using washing machines dishwashers only full, purchasing energy-efficient appliances light bulbs. Economic gauged through variables knowledge electricity tariffs, understanding electric bill components, prices, exact expenses, usage kWh, effective energy-saving methods, familiarity with efficiency classes study presents profiles high low regarding expenditures examines how these differ behaviors. research based on survey 1407 conducted online 2023. Data collected were subjected to statistical analysis are presented tables graphs. The findings discussed context existing literature field, highlighting implications contributes influences among households, providing insights for policymakers conservation initiatives. One key this paper significant association awareness, knowledge, adoption households. reveals that higher levels demonstrate notably practices related compared those lower awareness. Similarly, equipped greater about techniques exhibit propensity adopt underscores important roles literacy education fostering behavioral changes towards more practices, importance targeted interventions educational campaigns aimed at enhancing promoting consumers.

Language: Английский

Citations

10
Evaluation of the Suitability of Using Artificial Neural Networks in Assessing the Effectiveness of Greywater Heat Exchangers DOI Open Access
Mariusz Starzec, Sabina Kordana, Beata Piotrowska

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2790 - 2790

Published: March 27, 2024

The use of greywater heat exchangers (GHEs) is an effective way to reduce energy consumption for heating domestic water. However, the available characteristics this type device are often insufficient and consider only a few selected parameters water greywater, which results in need look tools enabling determination effectiveness GHEs various operating conditions with incomplete input data. aim paper was determine usefulness artificial neural networks (ANNs). For purpose, comprehensive experimental tests were carried out on horizontal exchanger, taking into account wide range flow rates temperatures these media, as well linear bottom slope unit, allowed creation database 32,175 results. Then, feasibility implementing full research plan assessed using ANNs. analysis showed that impact media exchanger values obtained ANNs limited, makes it possible significantly number necessary experiments. Adopting three temperature at least one medium generation ANN models coefficient R2 = 0.748–0.999 RMSE 0.077–1.872. In case tested GHE, rate mixed key importance. even significant importance, without compromising final Assuming five different each four (a total 625 combinations) made generate model (R2 0.993 0.311) high generalization ability covering cases. Therefore, conducted confirmed assessing conditions. approach described important both environmental economic reasons, allows reducing energy, carry such scientific research.

Language: Английский

Citations

7
Analysis of rainwater use in membrane-based semi-direct evaporative cooling of air DOI
Sebastian Englart

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 90, P. 109409 - 109409

Published: April 22, 2024

Language: Английский

Citations

7
Gaining CO2 Reduction Insights with SHAP: Analyzing a Shower Heat Exchanger with Artificial Neural Networks DOI Creative Commons
Sabina Kordana, Beata Piotrowska, Mariusz Starzec

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1904 - 1904

Published: April 9, 2025

The application of shower heat exchangers (SHEs) allows for a reduction in the amount energy necessary to domestic hot water (DHW). As result, not only costs heating DHW but also emission harmful products fuel combustion is reduced. However, identification key areas determining resulting carbon dioxide remains an unexplored issue. For this reason, main purpose paper was comprehensively analyze impact parameters characterizing operation horizontal SHE cooperating with electric heater on potential CO2 emission. part research study, 16,200 values corresponding different conditions installation were determined. analysis carried out considering location countries European Union. Artificial neural networks and SHAP used as tools. This study showed that intensity, world map, total daily length are importance prediction reduction. efficiency turned be least important parameter. proved greatest environmental benefits using SHEs will visible where fossil fuels account large share electricity production, such Poland, buildings significant consumption.

Language: Английский

Citations

0
Harnessing Artificial Neural Networks for Financial Analysis of Investments in a Shower Heat Exchanger DOI Creative Commons
Sabina Kordana, Mariusz Starzec, Beata Piotrowska

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(14), P. 3584 - 3584

Published: July 21, 2024

This study focused on assessing the financial efficiency of investing in a horizontal shower heat exchanger. The analysis was based net present value (NPV). research also examined possibility using artificial neural networks and SHapley Additive exPlanation (SHAP) to assess profitability investment significance individual parameters affecting NPV project related installing exchanger buildings. Comprehensive conducted, considering wide range input parameters. As result, 1,215,000 values were obtained, ranging from EUR −1996.40 36,933.83. Based these values, network models generated, one exhibiting highest accuracy prediction selected (R2 ≈ 0.999, RMSE 57). SHAP identified total daily length initial energy price as key factors influencing least influential parameter found be hot water heater. results can contribute improving systems for investments exchangers. application developed model help selecting appropriate technical system achieve maximum benefits.

Language: Английский

Citations

2
A New Method for Selecting the Geometry of Systems for Surface Infiltration of Stormwater with Retention DOI Open Access
Sabina Kordana, Mariusz Starzec

Water, Journal Year: 2023, Volume and Issue: 15(14), P. 2597 - 2597

Published: July 17, 2023

The application of infiltration basins and tanks is one the primary means sustainable stormwater management. However, methods currently used to size these facilities do not take into account a number parameters that have significant impact on their required capacity. In light this, aim this research was develop new method for selecting geometry tanks. Its in initial phase designing management systems will allow assessing validity using such given catchment area. This paper also presents results local global sensitivity analyses examining how changes individual design influence facilities. effectiveness developed model evaluated through example real urban catchment. study based hydrodynamic analysis more than 3000 catchments. plan Statistica software. On other hand, simulations made possible use artificial neural networks designed Python programming language. confirmed as total area, percent impervious type soil within are crucial process can be considered when under Polish conditions. described algorithm by researchers similar models different rainfall data. contribute increasing safety infrastructure.

Language: Английский

Citations

1