Energy-efficient sorption-based gas clothes dryer systems

Ahmadi, Masoud; Gluesenkamp, Kyle R.; Bigham, Sajjad

doi:10.1016/j.enconman.2020.113763

Cited by 23 publications

(4 citation statements)

References 31 publications

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“…This indicated the potential of [EMIM][OAc] to perform moisture absorption ( i.e. dehumidification) at relatively high temperatures, which could be beneficial for applications, such as industrial dryers [ 62 ] or automotive flash-off drying [ 63 ]. When the chamber was set to 90 °C and 15% RH, the moisture desorption performance of [EMIM][OAc] solution (75% wt.)…”

Section: Resultsmentioning

confidence: 99%

A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis

Giampieri,

Machado,

Ling-Chin

et al. 2023

Heliyon

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Section: Resultsmentioning

confidence: 99%

A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis

Giampieri,

Machado,

Ling-Chin

et al. 2023

Heliyon

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“…Eksperimen juga telah dilakukan pada [6] untuk mempelajari kinerja pengeringan sebuah condensing tumbler clothes dryer di bawah kondisi kerja yang berbeda. Pada penelitian [7] diusulkan sorption-based gas dehydration system untuk meningkatkan efisiensi energi pada sistem pengering pakaian. Sedangkan penelitian [8], untuk meningkatkan efisiensi energi pada pengering pakaian, mengusulkan konfigurasi baru pengering pakaian dengan sebuah solid-state thermoelectric heat pump yang digunakan pada loop sekunder air dan heat exchangers bertipe conventional fin-and-tube water-to-air.…”

Section: Pendahuluanunclassified

Perancangan Prototipe Sistem Kendali Otomatis Pada Pengering Pakaian Berbasis Air Heater

Priyandha

Wati²

2023

JJEEE

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Pengering pakaian diharapkan dapat bekerja secara otomatis dan dapat menjaga kualitas pakaian yang dikeringkan. Terdapat parameter penting pada proses pengeringan pakaian yaitu temperatur dan kelembaban. Untuk menjaga kualitas pakaian, perlu diperhatikan nilai temperatur pengeringan agar tidak melebihi batas temperatur pengeringan yang ditentukan pada setiap jenis pakaian. Oleh karena itu, diperlukan pengaturan setpoint temperatur pengeringan pakaian pada alat pengering pakaian. Pada penelitian ini dirancang prototipe pengendali yang dapat bekerja secara otomatis pada sebuah sistem pengering berbasis air heater. Prototipe yang dirancang terdiri atas air heater, sensor temperatur, sensor kelembaban, Arduino, dan tampilan antarmuka menggunakan LabVIEW. Proses pengeringan dioperasikan oleh pengguna melalui antarmuka dimana pengguna memasukan dua input yaitu jenis pakaian yang akan dikeringkan dan jumlahnya. Input tersebut digunakan pada penentuan nilai temperatur operasi pada air heater. Selama proses pengeringan, nilai temperatur maupun nilai kelembaban pada bilik pengering diukur menggunakan sensor tipe DHT22. Kedua nilai lalu tersebut ditampilkan melalui antarmuka LabVIEW. Nilai temperatur tersebut dibandingkan dengan nilai temperatur setpoint yang ditentukan berdasarkan jenis dan jumlah pakaian yang akan dikeringkan. Berdasarkan nilai perbandingan tersebut, LabVIEW mengirimkan nilai kendali berupa nilai PWM secara serial ke Arduino, yang merupakan sinyal kendali ke air heater. Kemudian, air heater bekerja menjaga temperatur pada bilik pengeringan agar sesuai setpoint selama proses pengeringan berjalan atau kondisi timer on. Jika nilai kelembaban telah mencapai kriteria kondisi kering dan waktu pengeringan telah habis, maka air heater akan masuk pada mode off. Berdasarkan hasil pengujian, prototipe sistem kendali yang dirancang mampu bekerja secara otomatis dan hasil pengeringan dapat mempertahankan kualitas pakaian. Selain itu penghematan energi listrik juga dimungkinkan dengan penggunaan pengendali otomatis pada pengering pakaian tersebut.The clothes dryer is expected to work automatically and can maintain the quality of the clothes. Temperature and humidity are the two main parameters in the process of drying clothes. The drying temperature affects the clothes conditions because each type of clothing has a certain temperature limit to maintain its quality. Therefore, it is necessary to set the temperature setpoint for drying clothes operation. This study designed a controller prototype that can work automatically in an air heater-based clothes dryer. The designed prototype consists of an air heater, temperature sensor, humidity sensor, Arduino, and an interface using LabVIEW. The drying process is operated by the user through an interface where the user inputs the type of clothing and the amount of clothing to be dried. The input is used to determine the temperature setpoint on the air heater. During the drying process, the temperature and humidity values in the drying chamber are read by the DHT22 sensor and then displayed on the interface. This temperature value is compared with the setpoint temperature which is determined based on the type and amount of clothes to be dried. Based on the comparison value, LabVIEW sends control values in the form of PWM values serially to Arduino, which are control signals to the air heater. Then, the air heater works to maintain the temperature in the drying chamber to match the setpoint during the drying process or when the timer is on. The air heater will turn off when the humidity has reached dry conditions and the drying time has been over. Based on the testing results, the control system prototype is able to work automatically, and the drying process can maintain the quality of the clothes. In addition, saving electrical energy is also possible with the use of the automatic controller.

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“…Although the energy consumption at 40 °C is lower than at 30 °C, the drying time at 40 °C (4.9 h) is clearly lower than at 30 °C (14.5 h). In order to obtain the total energy consumption in SMER and SEC equations (Equations 9 and 11), the electrical power (kW) of a hot air drying system is multiplied by the drying time (h) [49]. Thus, it was determined that while the SMER value of the drying system at 40 °C is greater than at 30 °C, the SEC value is lower.…”

Section: Tablementioning

confidence: 99%

Investigation of the thin layer drying of micropropagated Ocimum basilicum L: Modeling by derived equations, quality characteristics, and energy efficiency

Kalender

Topdemir

2023

CI&CEQ

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This study presents modeling of thin layer drying of micropropagated O. basilicum L., some quality characteristics of dried product, and energy consumption analysis for the dryer used. In the statistical analyses, the experimental drying data obtained from a previous article were used. Modeling studies were statistically carried out using the experimental data at 1 m/s airflow rate and at the temperature of 30-50?C. The statistical analysis results showed that Verma equation was the best fit model having the lowest chi-square (?2) and AIC values at all temperatures studied. From statistical analyses using derived drying models, it was found that D9 equation having ?2 value of 0.0146 and AIC value of -528.022 was the best model fitting to experimental data. The total phenolic content, flavonoid, and antioxidant capacity of dried basil samples were measured as 2.538 ? 0.029 mg GAE/g, 2.017 ? 0.088 mg quercetin/g, and 2.263 ? 0.001 mmol TEAC/100 g DW, respectively. From FTIR spectra, dried basil samples had typical functional groups. SEM images showed that a collapse in the surface of the leaves occurred. But, this collapse is not affect the functional groups of the surface of the leaves. From energy consumption analyses, optimum drying optimum drying temperature was found to be 40?C. The SMER, MER, and SEC values calculated from energy consumption analysis at 40?C were 0.0043 kg/kWh, 0.0007 kg/h, and 234.81 kWh/kg, respectively.

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Energy-efficient sorption-based gas clothes dryer systems

Cited by 23 publications

References 31 publications

A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis

A techno-economic investigation of conventional and innovative desiccant solutions based on moisture sorption analysis

Perancangan Prototipe Sistem Kendali Otomatis Pada Pengering Pakaian Berbasis Air Heater

Investigation of the thin layer drying of micropropagated Ocimum basilicum L: Modeling by derived equations, quality characteristics, and energy efficiency

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