Wyniki wyszukiwania - BazTech

1

Average speed optimization of electric vehicles with charging stops

Medvedev Vadym, Frolov Volodymyr, Lapkovsky Serhii, Gladskyi Maksym

Zeszyty Naukowe. Transport / Politechnika Śląska

|

2025

|

z. 128

133-144

EN

The article discusses the issue of driving an EV over long distances when additional charging of the high-voltage battery is required. The optimization of driving speed between charges is considered. If the speed is too low, the electric car will spend too much time covering the distance between charges, and if the speed is too high, the charging time will increase significantly. In the article, the data on the charge consumption from the driving speed of eight EVs are considered and reduced to a single denominator. Both serial EVs and EVs manufactured in Ukraine in single versions were included in the review. Based on these data, the optimal speed of movement was calculated. It was found that these speeds largely depend on the average power of the next charging session on the way. An empirical formula for calculating the optimal driving speed with correction factors that depend on the design of the electric vehicle was obtained. It was also found that with large values of the preparatory and final time of the charging session, the average driving speed can increase by 40%.

2

Analiza porównawcza wybranych homologacyjnych testów zasięgu pojazdów

Erd Andrzej, Ciszewski Tomasz

Przegląd Elektrotechniczny

|

2025

|

R. 101, nr 2

48--51

PL

Celem pracy jest porównanie warunków prowadzenia testów homologacyjnych samochodów osobowych w zakresie procedur zasięgu i w stosunku do pojazdów napędzie elektrycznym. Jako punkt odniesienia pokazano test NLDC, a następnie przedstawiono EPA,WLTP, i CLTC. Oprócz porównań pomiędzy procedurami zestawiono zasięgi rzeczywistych pojazdów mierzone w różnych warunkach. W części końcowej pokazano różnice pomiędzy wskazaniami prognozy zasięgu pojazdu w zimowych warunkach drogowych, oraz wskazania drogomierza.

EN

The aim of the paper is to compare the conditions for conducting homologation tests for passenger cars, but only in terms of range procedures and in relation to electric vehicles. The NLDC test is shown as a point of reference, followed by EPA, WLTP and CLTC. In addition to the comparisons between these procedures, the ranges of real vehicles measured in various conditions were contrasted. The final part shows the differences between the vehicle range forecast indications in winter road conditions and the odometer readings.

3

Ocena wpływu zastosowania powietrznego systemu solarnego na wybrane aspekty mikroklimatu pomieszczenia w budynku mieszkalnym

Kaczmarek Anna, Nakielska Magdalena

Przegląd Budowlany

|

2025

|

R. 96, nr 3

129--132

PL

W ramach pracy przeprowadzone zostały badania pilotażowe uwzględniające wpływ dodatkowego źródła energii celem poprawy komfortu użytkowników – systemu nawiewnego solarnego. Wyniki z przeprowadzonych badań pozwalają stwierdzić, że w pomieszczeniach wyposażonych w urządzenie, powietrze wewnątrz może uzyskiwać wyższe temperatury w odniesieniu do pomieszczeń z tradycyjną wentylacją grawitacyjną. Stwarza to dogodne warunki komfortu cieplnego dla użytkowników zwłaszcza budynków istniejących.

EN

As part of this work, a pilot study was carried out to consider the impact of an additional energy source to improve occupant comfort – a solar ventilation system. The results of the study show that in rooms equipped with the device, the indoor air can reach higher temperatures in relation to rooms with traditional gravitational ventilation. This creates favorable thermal comfort conditions for users, especially in existing buildings.

4

Analysis of experimental studies on the efficiency of a new mixer for molding mixtures components for the production of premix lick blocks and the final product effect

Doudkin Mikhail, Kim Alina, Yakovlev Ivan, Vasilkov Dmitry, Asangaliev Yelibek, Moldakhanov Bekbolat

Production Engineering Archives

|

2025

|

Vol. 31, Iss. 1

81--90

EN

The study focuses on the design and modernization of a feed mixer and demonstrates the impact of what might seem like a non-primary machine in the technological line for producing vitamin-enriched salt lick blocks (SLB) on the quality of the final product, the salt block. Furthermore, it examines the effect of SLBs themselves on animal growth and productivity, including increased milk yields and weight gain. Original recipes and ingredients of the feed salt mixture with their granulometric compo-sition, moisture content, and mass fraction in the composition of the vitamin-enriched salt premix lick block are provided. The design of the mixing shaft is shown, and the operation of the modernized mixer is described. Experimental equipment from the technological line for the production of premix lick blocks is presented. The results of statistical regression analysis are given, adequately describing the working process of the mixer and allowing the calculation of the specific productivity of the new mixer, energy consumption, and mixing homogeneity within the selected intervals of variation of input factors. The component composition ratios of the SBL were found, which allowed achieving maxi-mum specific productivity and homogeneity, as well as minimum energy consumption in a wide range of input parameters of the mixing process in the new mixer. The effect of the final product, vitamin-enriched salt premix lick blocks, on the growth and productivity of animals was studied.

5

Ekologiczne centrale FCH HVAC redukujące emisję CO2 o 40%

Struzik Wojciech, Kuciak Tomasz, Fiecek Błażej

Materiały Budowlane

|

2025

|

nr 1

70--72

6

RecykloFiber jako nowy materiał termoizolacyjny dla budownictwa. Odpad tekstylny w kontekście wykorzystania do celów termoizolacyjnych w budownictwie

Majewski Leszek, Stankiewicz Jarosław, Koper Jeremiasz, Miros Artur

Izolacje

|

2025

|

T. 30, nr 6

34--36

PL

W artykule przedstawiono innowacyjny materiał termoizolacyjny RecykloFiber, oparty na wykorzystaniu odpadowych włókien tekstylnych. Scharakteryzowano potencjał surowcowy odpadów tekstylnych, proces technologiczny produkcji oraz parametry techniczne nowego materiału. Przeprowadzono analizę porównawczą pod kątem energochłonności i wpływu na środowisko w stosunku do popularnej wełny mineralnej.

EN

The article presents an innovative thermal insulation material RecykloFiber, based on the use of waste textile fibres. The raw material potential of textile waste, the technological production process and the technical parameters of the new material were characterised. A comparative analysis was carried out in terms of energy consumption and environmental impact in relation to the popular mineral wool.

7

Verification and optimization of electrical energy consumption in university buildings

Poczekajło Paweł, Suszyński Robert, Antosz Andrzej

International Journal of Electronics and Telecommunications

|

2025

|

Vol. 71, No. 2

519-526

EN

The article discusses the issue of measuring electrical energy consumption. Measurements and analyses of power consumption by selected receivers and electrical circuits are described. The measurements were carried out in selected university campus buildings. The authors included statistical data, also broken down by working period and time of day. Averaged charts are presented on a daily and weekly basis. Knowing the receivers on individual circuits (and their applications), attempts were made to analyze consumption and the possibilities of reducing electricity consumption. The paper also includes analyses related to further work and the possibilities of using the data collected from the energy consumption measurement in other applications and research.

8

Relokacja strat ciepła pomiędzy mieszkaniami w przedwojennych kamienicach

Szulgowska-Zgrzywa Małgorzata, Chmielewska Agnieszka, Stefanowicz Ewelina

Instal

|

2025

|

nr 3

23--34

PL

W artykule rozważano zagadnienie relokacji strat ciepła pomiędzy mieszkaniami w przedwojennych budynkach wielorodzinnych. Badania in-situ stanowiące podstawę dalszych symulacji i rozważań analitycznych przeprowadzono w trzech mieszkaniach zlokalizowanych w kamienicy przedwojennej. Ustalono, że wartość luki energetycznej (ang. energy performance gap - EPG) w tych lokalach wyniosła +29%, -45% i -75%. Stwierdzono, że relokacja strat ciepła była istotnym jej komponentem i odpowiadała za wzrost zużycia ciepła o 49% w jednym z mieszkań oraz jego zmniejszenie w dwóch pozostałych o 25% i 47%. Drugim istotnym czynnikiem wpływającym na wartość EPG były inne niż założone do obliczeń warunki pogodowe, odpowiedzialne za 34% i 33% zmniejszenie zużycia ciepła do ogrzewania względem zużycia projektowego. Badaniom symulacyjnym poddano mieszkania w reprezentatywnej dla badanej tkanki miejskiej kamienicy przedwojennej, będącej w złym stanie technicznym. Stwierdzono, że zmiana wartości temperatury powietrza w czterech z dwudziestu mieszkań wpływa na bilans ciepła wszystkich lokali. W przypadku obiektu niepoddanego termomodernizacji, obniżenie temperatury w wybranych mieszkaniach do 16,5°C skutkuje spadkiem ich energochłonności od 69% do 90%. Odzwierciedla się to wzrostem zużycia ciepła w przyległych lokalach, wynoszącym od 12% do 44%. Analizy dla obiektu poddanego termomodernizacji wykazały że, ewentualne niedogrzewanie czterech lokali skutkuje zmniejszeniem ich energochłonności od 55% do 69%. Przekłada się to na mniejszy wzrost zapotrzebowania na ciepło w lokalach przyległych, wynoszący od 6% do 29%. W oparciu o przeprowadzone badania stwierdzono, że bez termomodernizacji obiektów skuteczne rozwiązanie problemu nadmiernego przepływu ciepła pomiędzy mieszkaniami w kamienicach przedwojennych będzie bardzo trudne, szczególnie jeśli w budynku znajdują się gospodarstwa domowe dotknięte ubóstwem energetycznym. Zmniejszenie zapotrzebowania na energię do ogrzewania zwiększy bowiem szansę na utrzymanie przez mniej zamożnych mieszkańców wyższej temperatury w pomieszczeniach, a ewentualne przepływy ciepła pomiędzy mieszkaniami będą mniej obciążające dla sąsiadów.

EN

The paper considers the issue of relocation of heat loss between apartments in pre-war multifamily buildings. The in-situ studies that form the basis for further simulations and analytical considerations were conducted in three apartments located in a pre-war tenement. It was found that the value of the energy performance gap (EPG) in these apartments was +29%, -45% and -75%. It was found that heat loss relocation was an important component of it, and was responsible for the increase in heat consumption by 49% in one of the apartments and its decrease in the other two by 25% and 47%. The second significant factor affecting the EPG value was weather conditions other than those assumed for the calculations, responsible for 34% and 33% reductions in heating consumption relative to design consumption. Simulation studies were carried out on apartments in a pre-war tenement house, representative of the urban fabric under study, being in poor technical condition. It was found that changing the air temperature parameters in four of the twenty apartments affects the heat balance of all units. In the case of a non-thermally upgraded building, lowering the temperature in the selected apartments to 16.5°C results in a decrease in their energy intensity from 69% to 90%. This is reflected in an increase in the heat consumption of adjacent apartments, ranging from 12% to 44%. Analyses for the thermo-modernized building showed that, if underheated, the four units result in a reduction in their energy intensity of 55% to 69%. This translates into a smaller increase in the heat demand of adjacent premises, ranging from 6% to 29%. Based on the study, it was concluded that without thermal modernization of the buildings, it will be very difficult to effectively solve the problem of excessive heat flow between apartments in pre-war tenements, especially if there are energy-poor households in the building. This is because reducing the energy demand for heating will increase the chances of less affluent residents maintaining higher indoor temperatures, and any heat flow between apartments will be less burdensome for neighbours.

9

Paliwa z odpadów i biomasy w miksie energetycznym Polski

Wolny-Tomczyk Katarzyna, Dąbrowska Dominika

Energia i Recykling : gospodarka obiegu zamkniętego

|

2025

|

nr 1

PL

Polski mix energetyczny jest w fazie głębokiej transformacji. Choć nadal dominującą rolę odgrywają w nim paliwa kopalne, to sukcesywnie ustępują one miejsca odnawialnym źródłom energii. Kluczowymi kwestiami pozostają dalsza modernizacja infrastruktury energetycznej oraz zapewnienie stabilności prawa w kontekście rosnącego udziału OZE.

10

Ile energii zużywa AI?

Michel Daria Janina

Energia i Recykling : gospodarka obiegu zamkniętego

|

2025

|

nr 2

PL

Sztuczna inteligencja, centra danych i kryptowaluty. Brzmi jak przepis na globalny kryzys energetyczny? Niezupełnie. Mimo że obawy o rosnące zapotrzebowanie na energię elektryczną wydają się uzasadnione, dane pokazują, że rzeczywistość jest nieco bardziej optymistyczna. Nawet na rodzimym rynku, choć obiektów pod obsługę AI jeszcze nie mamy.

11

Statistical analysis of the impact of cutting parameters on energy consumption and surface finish in a machining center

Trujillo Burgos Juan Diego, Guevara-Muñoz Angie Judith, Rodriguez-Cabal Miguel Angel

Diagnostyka

|

2025

|

Vol. 26, No. 1

art. no. 2025108

EN

In industry, the search for reducing energy consumption directly impacts the manufacturing sectors due to the high power consumption required for their processes. Thus, studies on machining centers that identify factors impacting this demand, while maintaining the quality of the surface finish on manufactured parts, are essential. The objective of this paper is to statistically analyze the influence of cutting parameters on energy consumption and surface finish on a Leadwell V40 iT machining center. A design of experiments (DOE) was developed using Minitab® software, with the depth of cut, spindle speed, and feed rate as input parameters. Each experiment was programmed using SprutCAM, measuring energy consumption and surface finish. The data obtained were statistically analyzed to determine the influence of the cutting parameters on the response variables, individually and in combination. The results show that the most critical factor for both responses is the depth of cut, with an F-value of 93.71 for surface finish and 36.20 for energy consumption, both presenting a P-value near zero. The composite analysis, aimed at optimizing the cutting parameters, shows an accuracy of 96.49% in minimizing these parameters.

12

Energy efficient and QOS awaretrustworthy routing protocol for manet using hybrid optimization algorithms.

Annamalai Veeramani R, Annamalai MadhanMohan R.

Computer Science

|

2025

|

T. 26 (1)

101--131

EN

The security challenges in MANETs are particularly difficult to address. Toassess the reliability of each mobile node, factors such as location, mobility speed, energy usage, transmission count, and neighbor list are considered. This research proposes the Intelligent Dynamic Trust (IDT) paradigm to enhance security in wireless networks. For secure routing, IDT combines beta reputation trust with dynamic trust. Performance analysis was conducted using Network Simulator 3.36, with metrics such as through put, energy consumption, packet delivery ratio, jitter, end-to-end delay, packet loss rate, detection rate, and routing overhead. The results show that the proposed approach out performs existing methods.

13

The impact of container yard layout on the cargo handling time of external transport vehicles in an intermodal terminal

Jachimowski Roland, Kłodawski Michał

Archives of Transport

|

2025

|

Vol. 73, iss. 1

179--193

EN

This article investigates the impact of container yard layout on the cargo handling time of intermodal trains operating at container terminals, with a particular emphasis on the number of stacking layers used in container storage. The study focuses on how varying vertical storage configurations influence the duration of crane loading cycles as well as the energy consumption of transshipment equipment. In addition to the stacking layout, the analysis incorporates several operational constraints that are critical in intermodal rail transport, including the locking pin arrangements on railcars, container gross weights, and axle load limitations specific to intermodal wagons. The theoretical section outlines the fundamental role of intermodal terminals within global logistics and supply chains. It delves into the organization of container storage within terminal yards, highlighting its influence on handling performance and the overall turnaround time of intermodal transport units. Furthermore, the article includes a comprehensive literature review that examines state-of-the-art research on container yard storage strategies, allocation rules, and various op timization approaches aimed at improving yard efficiency. To evaluate the operational impact of different stacking strategies, a simulation model was developed using the FlexSim platform. The model allows for detailed analysis of crane cycle times in relation to stacking configurations, while also accounting for the energy usage of cranes and handling equipment. The simulations were carried out for a range of stacking scenarios to reflect real-world variabil ity and constraints encountered in container terminals. The findings reveal that the relationship between the number of stacking layers and train loading time or energy consumption is non-linear and often counterintuitive. Increasing the number of layers does not necessarily lead to proportional gains or losses in efficiency. Instead, certain configu rations may result in operational bottlenecks or increased energy use due to additional crane repositioning and con tainer relocations. The research not only provides quantitative evidence on the operational consequences of yard design decisions but also offers practical insights for terminal planners and operators. These insights can support both short-term operational planning and long-term strategic investments aimed at optimizing terminal performance and sustainability.

14

Optimize building energy efficiency design and evaluation with machine learning

Gu Chun

Archives of Civil Engineering

|

2025

|

Vol. 71, nr 1

615--629

EN

With the increasing demand for energy efficiency optimization in the building industry, this study explores the application of machine learning technology in building energy efficiency design and evaluation. By comprehensively analyzing energy consumption data, environmental factors, building characteristics, and user behavior patterns, this paper proposes a machine learning-based approach aimed at accurately predicting and improving the energy efficiency of buildings. The study collected and pre-processed a large amount of data, built and trained multiple models, including neural networks, which showed a high degree of predictive accuracy in cross-validation. The results show that the neural network has obvious advantages in the task of building energy efficiency prediction. In addition, the interpretability of the model in practical applications and future research directions, such as the introduction of real-time monitoring data and in-depth study of the interpretability of the model, are also discussed. This study not only provides a new perspective for building energy efficiency optimization, but also provides a practical tool for intelligent building design and operation.

15

The carbon dioxide emission balance and ability to chip wood by 10 kW machines used in urban areas in terms of increasing interest in using wood biomass resources for personal use

Warguła Łukasz, Nati Carla, Wieczorek Bartosz, Bembenek Michał

Advances in Science and Technology. Research Journal

|

2025

|

Vol. 19, no. 4

401--415

EN

Urbanized areas are spaces that provide interesting amounts of wood wastes to address as renewable resources. Due to limited working space in these areas, small, low-power wood chippers are used. Machines with similar power but different cutting mechanisms are available on the market. The article presents a study of four machines with four different cutting mechanisms: disc, drum, two cylinders, and flail. Wooden beams of three wood species (ash, pine, spruce) with varying hardness according to the Janka classification and ten cross-sectional dimensions ranging from 10×10 mm to 100×100 mm, along with a moisture content (MC) of 10±2%, were chipped. In the tested machines, stopping the working mechanism caused slippage of the V-belt transmission, protecting the machine from the consequences of overload. It was shown that in terms of chipping capabilities, drum, disc, two cylinders, and flail chippers, respectively, exhibit the highest to lowest capabilities. The range of materials shredded by the tested machines varies from 80×80 mm to 10×10 mm depending on the wood type and cutting mechanism. The average energy consumption of the tested machines is 2.07 ± 0.73 kWh, and the maximum value recorded for the drum chipper is 5.21 ± 0.2 kWh. Wood species and cross-section are key factors in energy consumption, while the chipper model has little impact. Considering that the average emissions during the production of electricity from fossil fuels are 0.95 kg CO2 per 1 kWh, these machines produce from 1.970.5 kg CO2 h-1 to a maximum of 4.49 kg CO2 h-1 (mean 1.97 kg CO2 h-1). Assuming that one tree absorbs from 7 kg CO2 per year, it can be assumed that one tree reduces CO2 emissions from 3 hours of machine work over a year. This is a time significantly shorter than the time required to chip the branches of a single tree subjected to the pruning process. This allows for maintaining a positive CO2 reduction balance.

16

Energy consumption and efficiency degradation predictive analysis in unmanned aerial vehicle batteries using deep neural networks

Al-Haddad Luttfi A., Łukaszewicz Andrzej, Majdi Hasan Sh., Holovatyy Andriy, Jaber Alaa Abdulhady, Al-Karkhi Mustafa I., Giernacki Wojciech

Advances in Science and Technology. Research Journal

|

2025

|

Vol. 19, no. 5

21--30

EN

The unmanned aerial vehicles (UAVs) needs efficient energy management to ensure optimal performance and flight time. In this paper, the energy consumption and efficiency degradation in DJI Mini 2 drone batteries by the use of a deep neural network (DNN) for predictive analysis, was concern. The research conducted repeated flights and monitoring battery discharge from 100% to 27% over 20 trials. Experimental conditions, including flight duration and environmental factors, were controlled to ensure repeatability and to minimize any external influences on the recorded data. Data were stored onto AIRDATA (drone logbook) and then recollected for new labeling. The initial flights demonstrated similar, near constant performance, while following flights showed a gradual reduction in flight time (performance degradation). To ensure comparable power usage and minimize external influences, hover mode was selected for all flights. Next, on this data the DNN was trained using the metrics of mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), coefficient of variation of the root mean squared error (CVRMSE), and determination coefficient (R²). The trained model achieved the MSE of 0.352%, RMSE of 0.593%, MAE of 0.324%, MAPE of 0.857%, CVRMSE of 0.743%, and R² of 0.981. The obtained results show the DNN’s ability to predict future power consumption for the UAV that in turn provides insights for energy management and extension of battery life. The paper contributes to the development of sustainable UAV operations by better knowledge about battery performance for in-flight conditions.

17

Application of a decision classifier tree to evaluate energy consumption of an electric vehicle under real traffic conditions

Deptuła Adam, Natorska Maria, Prażnowski Krzysztof, Mamala Jarosław, Urbanowicz Kamil

Advances in Science and Technology. Research Journal

|

2025

|

Vol. 19, no. 4

91--108

EN

The authors of the study undertook work on the development of a decision tree-based classifier for the evaluation of energy consumption by a vehicle traveling in real traffic conditions during normal daily operation over a period of one full year. Parameters affecting the speed profile in the form of power pedal position, averaged ambient temperature and averaged vehicle speed were used as classification parameters.Since the energy consumption of an electric vehicle while moving in traffic depends on many factors. These factors include: the driver's driving style, as well as the prevailing weather conditions and terrain. An element of the driver's direct influence on the shape of the speed profile is the set position of the power pedal. The value of the power pedal position depends on the instantaneous load on the vehicle resulting from the terrain and the driver's adopted speed value. As a result, a power consumption rate can be obtained for the vehicle's moving conditions, for which the ambient temperature also has an influence.

18

Analysis of energy consumption and cost savings in the process of transporting a hydromixture with the addition of a deflocculant

Beata Jaworska-Jóźwiak, Bartłomiej Szymczyk

Advances in Science and Technology. Research Journal

|

2025

|

Vol. 19, no. 1

36--47

EN

The paper presents a proposal to reduce the cost of the pipeline transport of hydromixture in the lime production process. The purpose of the research was to reduce the energy and water demand during the flow of lime hydromixture with a deflocculant of a specific composition in a selected pipeline. Since the addition of an appropriate deflocculant significantly reduces the effect of particle size on the flowability of the suspension, the selection of optimal transport conditions is a fundamental issue. To provide the most efficient transport condition of the hydromixture tested in the analysed pipeline, a mathematical model has been developed that assumes the most influential factors in the operation of the investigated enterprise technology. The input parameters are proposed using a statistical method. In the article, the consumption costs of the components (materials and energy) in the process of piping a lime hydromixture of different mass concentrations were compared. The analysis carried out aimed to reduce the amount of electrical energy needed to drive the pump during the flow of a hydromixture of four different mass concentrations and its volumetric flow rate in the pipeline, while maintaining a constant amount of the transported mass of the solid phase in the hydromixture. The results of the analysis revealed that controlling selected operating factors, such as the mass concentration of the hydromixture, the flow rate, and the pump head, improves the energy efficiency of the hydrotransport process in the limestone mine. As a result of the investigation, significant reduction of the total cost of the pipeline transport is possible.

19

Analysis of thermal energy consumption management of energy-intensive enterprises

Widera Katarzyna, Gąsior Rafał, Smoliński Adam

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2024

|

z. 202

591--604

EN

Purpose: The purpose of this study is to analyze and evaluate the consumption of thermal energy in a coal mining enterprise with separate business units, in the context of securing energy reserves and effectively managing the consumption of this energy. Design/methodology/approach: Based on the aggregation and analysis of historical data of thermal energy consumption, the method of statistical analysis of aggregated data from individual business units of the coal mining company was applied. Findings: The applied statistical analysis of the aggregate data made it possible to verify the planned short- and long-term activities for each group of facilities of the coal mining company. Research limitations/implications: The further direction of the research requires verification of the obtained results of the statistical analysis, after completing the data of thermal energy consumption in the following years and correlating the obtained results with the introduced pro¬efficiency measures in the enterprise so as to clarify the division of the enterprise's facilities into individual groups. Practical implications: Statistical analysis of thermal energy consumption, can become an effective tool to support the process of managing pro-efficiency measures in mining enterprises with separate business units. Social implications: The right approach of coal mining companies to thermal energy analysis and management can contribute to securing energy reserves for the local environment in which the company operates. Originality/value: The presented classification of facilities into groups A, B and C and the use of statistical analysis to verify the introduced measures to reduce thermal energy consumption have not yet been introduced and tested in the Polish coal mining industry.

20

Zużycie energii na ogrzewanie budynków w 2023 r. w wybranych miastach Polski

Dopke Józef

Wiadomości Naftowe i Gazownicze

|

2024

|

R. 27, Nr 2 (300)

15-21

PL

Podano i omówiono średnie roczne temperatury powietrza, średnie roczne temperatury powietrza bez lata dla Gdańska Rębiechowa w wieloleciu 1987-2023, Warszawy Okęcia i Rzeszowa Jasionki w wieloleciu 1999-2023. Na rysunkach przedstawiono roczne liczby stopniodni grzania i roczne bez lata dla temperatury bazowej 15oC dla Gdańska Rębiechowa w wieloleciu 1987-2023, Warszawy Okęcia i Rzeszowa Jasionki w wieloleciu 1999-2023 oraz zmiany zużycia energii na ogrzewanie budynków dla Gdańska Rębiechowa w wieloleciu 1987-2023, Krakowa w wieloleciu 1996-2023, Warszawy Okęcia, Rzeszowa Jasionki, Szczecina, Wrocławia i Helu w wieloleciu 1999-2023 względem roku o najmniejszej rocznej bez lata liczbie stopniodni grzania. Podano miasta, w których minimalne zużycie energii na ogrzewanie w ostatnich latach wystąpiło w 2000, 2014, 2020 i 2023 r.