Measured and derived data at the exhaust of a batch industrial dryer

Autor: Gianluca Valenti, Camilla Nicol Bonacina, Abdullah Bamoshmoosh
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Data in Brief, Vol 32, Iss , Pp 106323- (2020)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2020.106323
Popis: This work reports the measured and derived quantities of an experimental campaign conducted in an existing laundry to record the conditions of the exhaust air of a batch industrial natural gas-fired dryer for cotton flat fabrics, like bed linens or tablecloths. The load of fabrics is 85 kg, referred to the dry fabric. The measured quantities are temperature and velocity in the center of a squared exhaust duct, which are reported along with their measurement uncertainty. The derived quantity is the exhaust air mass flow rate along with its combined uncertainty. In particular, these data can be used to study the feasibility of waste heat recovery strategies, such as that studied in the related research article “Optimal cascade phase change regenerator for waste heat recovery in a batch industrial dryer” [1].
Databáze: Directory of Open Access Journals