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Wyszukujesz frazę "adsorption cooling" wg kryterium: Temat

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    Wyświetlanie 1-4 z 4
    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
    Artykuł
    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
    Artykuł
    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
    Artykuł
    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
    Artykuł
      Wyświetlanie 1-4 z 4

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