MINLP‐based hybrid strategy for operating mode selection of TES‐backed‐up refrigeration systems

Author:

Bejarano Guillermo1ORCID,Rodríguez David2,Lemos João M.3,Vargas Manuel2ORCID,Ortega Manuel G.2

Affiliation:

1. Departamento de Ingeniería, Escuela Técnica Superior de Ingeniería Universidad Loyola Andalucía Sevilla Spain

2. Departamento de Ingeniería de Sistemas y Automática, Escuela Técnica Superior de Ingeniería Universidad de Sevilla Sevilla Spain

3. INESC‐ID, Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal

Funder

Spanish MCeI

FCT

POR Lisboa

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference48 articles.

1. Model-driven system identification of transcritical vapor compression systems

2. Numerical investigation of transfer coefficients of an evaporatively-cooled condenser

3. Experimental development of an intelligent refrigeration system

4. SuzukiY YamaguchiY ShiraishiK NarumiD ShimodaY.Analysis and modeling of energy demand of retail stores. In: Proceedings of Building Simulation 2011: 12th Conference of International Building Performance Simulation Association;2011;Sydney Australia.https://www.ibpsa.org/proceedings/BS2011/P_1591.pdf

5. US Environmental Protection Agency.National action plan for energy efficiency: sector collaborative on energy efficiency accomplishments and next steps.http://www.epa.gov/cleanenergy/documents/suca/sector_collaborative.pdf

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