A Hybrid Metaheuristic–Deterministic Optimization Strategy for Waste Heat Recovery in Industrial Plants-Reference-Cited by-同舟云学术

A Hybrid Metaheuristic–Deterministic Optimization Strategy for Waste Heat Recovery in Industrial Plants

Published:2021-02-28 Issue:9 Volume:60 Page:3711-3722
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

López-Flores Francisco Javier¹,Hernández-Pérez Luis Germán¹,Lira-Barragán Luis F.¹,Rubio-Castro Eusiel²^ORCID,Ponce-Ortega José M.¹^ORCID

Affiliation:

1. Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Francisco J. Múgica S/N, Edificio V1, Ciudad Universitaria, 58060, Morelia, Mich., México

2. Chemical and Biological Sciences Department, Universidad Autónoma de Sinaloa, Av. de las Américas S/N, Culiacán, Sinaloa 80010, México

Funder

Consejo Nacional de Ciencia y Tecnolog?a

CIC-UMSNH

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.0c06201

Reference57 articles.

1. Industrial waste heat recovery technologies: An economic analysis of heat transformation technologies

2. Quantity, Quality, and Availability of Waste Heat from United States Thermal Power Generation

3. Industrial waste heat utilization for low temperature district heating

4. Energy Information Administration. Annual Energy Outlook (AEO), 2020. https://www.eia.gov/outlooks/aeo/ (accessed December, 2020).

5. Simultaneous optimization of CO2 emissions reduction strategies for effective carbon control in the process industries

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