Szczegóły publikacji

Opis bibliograficzny

An adaptive neuro-fuzzy model of a re-heat two-stage adsorption chiller / Jarosław Krzywański, Karolina Grabowska, Marcin Sosnowski, Anna Zylka, Karol SZTEKLER, Wojciech KALAWA, Tadeusz WÓJCIK, Wojciech NOWAK // Thermal Science ; ISSN 0354-9836. — 2019 — vol. 23 suppl. 4, s. S1053–S1063. — Bibliogr. s. S1062–S1063. — 11th International Conference on Computational Heat and Mass Transfer (ICCHMT) : Cracow, MAY 21-24, 2018

Autorzy (8)

Słowa kluczowe

low temperature heat sourcescombined coolingheating and powerbioinspired modellingreheat two-stageoverall thermal conductanceANFISadsorption chillerartificial intelligence

Dane bibliometryczne

ID BaDAP125727
Data dodania do BaDAP2020-01-16
Tekst źródłowyURL
DOI10.2298/TSCI19S4053K
Rok publikacji2019
Typ publikacjireferat w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaThermal Science

Abstract

Since the adsorption chillers do not use primary energy as driving source the possibility to employ low temperature waste heat sources in cooling energy production receives nowadays much attention of the industry and science community. However, the performance of the thermally driven adsorption systems is lower than that of other heat driven heating/cooling systems. Low coefficients of performance are one of the main disadvantages of adsorption coolers. It is the result of a poor heat transfer coefficient between the bed and the immersed heating surfaces of a built-in heat exchanger system. The purpose of this work is to study the effect of thermal conductance values of sorption elements and evaporator as well as other design parameters on the performance of a re-heat two-stage adsorption chiller. One of the main energy efficiency factors in cooling production, i.e. cooling capacity for wide-range of both design and operating parameters is analyzed in the paper. Moreover, the work introduces artificial intelligence approach for the optimization study of the adsorption cooler. The ANFIS was employed in the work. The increase in both the bed and evaporator conductance provides better performance of the considered innovative adsorption chiller. The highest obtained value of cooling capacity is 21.7 kW and it can be achieved for the following design and operational parameters of the considered re-heat two stage adsorption chiller: M-sorb = 40 kg, t = 1300 s, T = 80 degrees C, C-sorb/C-met = 50, hA(sorb) = 4000 W/K, hA(evap) = 4000 W/K.

Publikacje, które mogą Cię zainteresować

fragment książki
#114153Data dodania: 5.6.2018
Modeling of a re-heat two-stage adsorption chiller by AI approach / Krzywański J., Grabowska K., Sosnowski M., Żyłka A., SZTEKLER K., KALAWA W., WÓJCIK T., NOWAK W. // W: ICCHMT 2018 : XIth International Conference on Computational Heat, Mass and Momentum Transfer : 21–24 May 2018, Cracow, Poland : book of abstracts, vol. 1. — [Cracow : s. n.], [2018]. — S. 294–295. — Pełny tekst na Dysku Flash. — S. [1–9]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [8-9], Abstr.
fragment książki
#114141Data dodania: 5.6.2018
Using adsorption chillers for utylising waste heat from power plants / SZTEKLER K., KALAWA W., STEFAŃSKI S., Krzywanski J., Grabowska K., Sosnowski M., WÓJCIK T., NOWAK W. // W: ICCHMT 2018 : XIth International Conference on Computational Heat, Mass and Momentum Transfer : 21–24 May 2018, Cracow, Poland : book of abstracts , vol. 2 . — [Cracow : s. n.], [2018]. — S. 257. — Pełny tekst na Dysku Flash. — S. [1–7]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [6–7], Abstr.