Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Farzad Hourfar"'
Autor:
Kate Kim, Farzad Hourfar, Abdul Halim Bin Abdul Razik, Muhammad Rizwan, Ali Almansoori, Michael Fowler, Ali Elkamel
Publikováno v:
Energies, Vol 16, Iss 17, p 6361 (2023)
In the context of global advancements, the imperative of a sustainable energy supply looms large. Biomass, an adaptable and renewable resource, has garnered attention for its potential contributions, although economic uncertainties persist due to the
Externí odkaz:
https://doaj.org/article/94f1013a469f4ccfaa487dbda7172339
Autor:
Farzad Hourfar, Ladan Khoshnevisan, Behzad Moshiri, Mojtaba Zaare-Mehrjerdi, Karim Salahshoor, Asgar Hourfar
Publikováno v:
آموزش مهندسی ایران, Vol 20, Iss 77, Pp 23-67 (2018)
The perfect control of the process variables has been always a critical issue in most process industries and among the engineers. In this article different aspects of “Process Control” education in Iranian universities has been studied and analyz
Externí odkaz:
https://doaj.org/article/f75906c09f1f4e2c80c2dc8ce43b71dc
Publikováno v:
Process Safety and Environmental Protection. 174:778-795
Autor:
Intan Suhairi Salleh, Nur Syuhada Ali, Farzad Hourfar, Khairiyah Mohd Yusof, Nurul Sulaiha Sulaiman, Hishamuddin Jamaluddin, Gholamreza Zahedi, Ali Almansoori, Ali Elkamel
Publikováno v:
The Canadian Journal of Chemical Engineering. 101:3351-3361
Publikováno v:
Sustainability
Volume 15
Issue 5
Pages: 4023
Volume 15
Issue 5
Pages: 4023
The perception of sewage sludge has increasingly changed from being a waste, which is a burden to the environment and society, to a useful resource of materials and renewable energy. There are several available technologies at different stages of mat
Publikováno v:
The Canadian Journal of Chemical Engineering.
Autor:
null Intan Suhairi Salleh, null Nur Syuhada Ali, null Farzad Hourfar, null Khairiyah Mohd‐Yusof, null Nurul Sulaiha Sulaiman, null Hishamuddin Jamaluddin, null Gholamreza Zahedi, null Ali Almansoori, null Ali Elkamel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73c029fc74bfe3fdf18037675b8551e9
https://doi.org/10.1002/cjce.24701/v2/response1
https://doi.org/10.1002/cjce.24701/v2/response1
Publikováno v:
International Journal of Energy Research. 45:5974-5987
Publikováno v:
Computers & Chemical Engineering. 128:285-300
This paper introduces the development of empirical predictive models and detection methods that are incorporated into a water detection framework for an industrial steelmaking electric arc furnace (EAF). The predictive models investigated in this wor