Temat: adsorption cooling - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Adsorption cooling as a promising method of waste heat utilization in ship technology
Autorzy:: Szymański, P.
Powiązania:: https://bibliotekanauki.pl/articles/2073643.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: adsorption cooling
adsorpcyjny układ chłodniczny
utylizacja odpadów
Opis:: This paper presents the possibility of practical use of the adsorption cooling method in the shipbuilding technology allowing for the conversion of low temperature waste heat (at approx. 60°C) coming from e.g. main engine cooling water. This work describes the construction and operation of such a device, the characteristics of typical adsorbent-adsorbate combinations, the advantages of such solution and the mathematical model.
Źródło:: Journal of Polish CIMEEAC; 2016, 11, 1; 183--188
1231-3998
Pojawia się w:: Journal of Polish CIMEEAC
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Conceptual adsorption system of cooling and heating supplied by solar energy
Autorzy:: Turski, M.
Powiązania:: https://bibliotekanauki.pl/articles/952679.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: solar cooling
solar heating
solar energy
adsorption chiller
adsorption ice water
generator
chłodzenie słoneczne
ogrzewanie słoneczne
energia słoneczna
adsorpcja wody lodowej
Opis:: This paper presents the possibility of reducing the demand for nonrenewable primary energy for buildings using a new conceptual adsorption system of cooling and heating supplied by solar energy. Moreover, the aim of this study is to shorten the payback time of investment in the standard adsorption cooling system through its integration with the heating system. Research has been carried out for an energy-efficient medium-sized single-family building with a floor area of 140 m 2 and a heat load of 4.2 kW and cold load of 4.41 kW. It has been shown that the use of an adsorption system of cooling and heating supplied by solar energy decreased the demand for nonrenewable primary energy by about 66% compared to the standard building that meets the current requirements.
Źródło:: Chemical and Process Engineering; 2016, 37, 2; 293-304
0208-6425
2300-1925
Pojawia się w:: Chemical and Process Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Experience in modelling of a single-stage silica gel-water adsorption chiller
Autorzy:: Krzywański, J.
Szyc, M.
Nowak, W.
Kolenda, Z.
Powiązania:: https://bibliotekanauki.pl/articles/298154.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:: low grade thermal energy
waste heat recovery
adsorption chillers
silica gel
coefficient of performance
cooling capacity
Opis:: Heat utilization for cooling capacity production is nowadays a desirable challenge in several industrial applications. There are lots of industrial processes with low parameters of heat generated as by-product, which utilization is very important to improve theirs total energy efficiency. Waste heat driven chillers seem to be great competitors for mechanical chillers. Among them special attention should be paid to adsorption chillers, since they can be powered with low – temperature heat sources. The paper presents a model of a single-stage adsorption chiller with silica gel as adsorbent and water, acting as a refrigerant. The performed model allows to predict the behaviour of the adsorption chiller, among others the main energy efficiency factors, such as coefficient of performance (COP) and cooling capacity (CC) for different working conditions.
Źródło:: Technical Sciences / University of Warmia and Mazury in Olsztyn; 2016, 19(4); 367-386
1505-4675
2083-4527
Pojawia się w:: Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Performance analysis and PCM selection for adsorption chiller aided by energy storage supplied from the district heating system
Autorzy:: Karwacki, Jarosław
Kwidziński, Roman
Leputa, Piotr
Powiązania:: https://bibliotekanauki.pl/articles/2204066.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: thermal sorption cooling
phase change material
thermal energy storage
district heating
adsorption
energy management
mathematical modelling
load shifting
efficiency
Opis:: The paper presents a theoretical analysis of thermal energy storage filled with phase change material (PCM) that is aimed at optimization of an adsorption chiller performance in an air-conditioning system. The equations describing a lumped parameter model were used to analyze internal heat transfer in the cooling installation. Those equations result from the energy balances of the chiller, PCM thermal storage unit and heat load. The influence of the control of the heat transfer fluid flow rate and heat capacity of the system components on the whole system operation was investigated. The model was used to validate the selection of Rubitherm RT62HC as a PCM for thermal storage. It also allowed us to assess the temperature levels that are likely to appear during the operation of the system before it will be constructed.
Źródło:: Archives of Thermodynamics; 2022, 43, 4; 135--169
1231-0956
2083-6023
Pojawia się w:: Archives of Thermodynamics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
Autorzy:: Krzywanski, Jarosław
Sztekler, Karol
Bugaj, Marcin
Kalawa, Wojciech
Grabowska, Karolina
Chaja, Patryk Robert
Sosnowski, Marcin
Nowak, Wojciech
Mika, Łukasz
Bykuć, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/2173577.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: adsorption heat pump
polygeneration
cooling capacity
low grade thermal energy
artificial neural networks
soft computing
absorpcyjna pompa ciepła
poligeneracja
wydajność chłodnicza
energia cieplna niskiej jakości
sztuczne sieci neuronowe
przetwarzanie miękkie
Opis:: Adsorption cooling and desalination technologies have recently received more attention. Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade waste heat recovery and utilization, especially renewable and waste heat of the near ambient temperature. However, due to the low coefficient of performance (COP) and cooling capacity (CC) of the chillers, they have not been widely commercialized. Although operating in combined heating and cooling (HC) systems, adsorption chillers allow more efficient conversion and management of low-grade sources of thermal energy, their operation is still not sufficiently recognized, and the improvement of their performance is still a challenging task. The paper introduces an artificial intelligence (AI) approach for the optimization study of a two-bed adsorption chiller operating in an existing combined HC system, driven by low-temperature heat from cogeneration. Artificial neural networks are employed to develop a model that allows estimating the behavior of the chiller. Two crucial energy efficiency and performance indicators of the adsorption chiller, i.e., CC and the COP, are examined during the study for different operating sceneries and a wide range of operating conditions. Thus this work provides useful guidance for the operating conditions of the adsorption chiller integrated into the HC system. For the considered range of input parameters, the highest CC and COP are equal to 12.7 and 0.65 kW, respectively. The developed model, based on the neurocomputing approach, constitutes an easy-to-use and powerful optimization tool for the adsorption chiller operating in the complex HC system.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137054
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Adsorption chiller in a combined heating and cooling system: simulation and optimization by neural networks
Autorzy:: Krzywanski, Jarosław
Sztekler, Karol
Bugaj, Marcin
Kalawa, Wojciech
Grabowska, Karolina
Chaja, Patryk Robert
Sosnowski, Marcin
Nowak, Wojciech
Mika, Łukasz
Bykuć, Sebastian
Powiązania:: https://bibliotekanauki.pl/articles/2128167.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: adsorption heat pump
polygeneration
cooling capacity
low grade thermal energy
artificial neural networks
soft computing
absorpcyjna pompa ciepła
poligeneracja
wydajność chłodnicza
energia cieplna niskiej jakości
sztuczne sieci neuronowe
przetwarzanie miękkie
Opis:: Adsorption cooling and desalination technologies have recently received more attention. Adsorption chillers, using eco-friendly refrigerants, provide promising abilities for low-grade waste heat recovery and utilization, especially renewable and waste heat of the near ambient temperature. However, due to the low coefficient of performance (COP) and cooling capacity (CC) of the chillers, they have not been widely commercialized. Although operating in combined heating and cooling (HC) systems, adsorption chillers allow more efficient conversion and management of low-grade sources of thermal energy, their operation is still not sufficiently recognized, and the improvement of their performance is still a challenging task. The paper introduces an artificial intelligence (AI) approach for the optimization study of a two-bed adsorption chiller operating in an existing combined HC system, driven by low-temperature heat from cogeneration. Artificial neural networks are employed to develop a model that allows estimating the behavior of the chiller. Two crucial energy efficiency and performance indicators of the adsorption chiller, i.e., CC and the COP, are examined during the study for different operating sceneries and a wide range of operating conditions. Thus this work provides useful guidance for the operating conditions of the adsorption chiller integrated into the HC system. For the considered range of input parameters, the highest CC and COP are equal to 12.7 and 0.65 kW, respectively. The developed model, based on the neurocomputing approach, constitutes an easy-to-use and powerful optimization tool for the adsorption chiller operating in the complex HC system.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137054, 1--11
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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