Multi-objective synthesis of energy systems: Efficient identification of design trade-offs-Reference-Cited by-同舟云学术

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Multi-objective synthesis of energy systems: Efficient identification of design trade-offs

Published:2017-02 Issue: Volume:97 Page:283-293
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Hennen Maike,Postels Sarah,Voll Philip,Lampe Matthias,Bardow André

Funder

European Institute of Innovation & Technology, Climate Knowledge and Innovation Community (EIT Climate-KIC)

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference61 articles.

1. Multi-objective planning of distributed energy resources: A review of the state-of-the-art;Alarcon-Rodriguez;Renew. Sust. Energy Rev.,2010

2. Uncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plant;Antipova;Energy,2013

3. On the use of filters to facilitate the post-optimal analysis of the Pareto solutions in multi-objective optimization;Antipova;Comput. Chem. Eng.,2015

4. Multi-criteria optimization in chemical process design and decision support by navigation on Pareto sets;Bortz;Comput. Chem. Eng.,2014

5. Are all objectives necessary? On dimensionality reduction in evolutionary multiobjective optimization;Brockhoff,2006

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1. Flexible here-and-now decisions for two-stage multi-objective optimization: method and application to energy system design selection;Optimization and Engineering;2020-07-13

2. Tradeoffs in cost competitiveness and emission reduction within microgrid sustainable development considering price-based demand response;Science of The Total Environment;2020-02

3. Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems;Renewable and Sustainable Energy Reviews;2019-10

4. Optimal (n−1)-reliable design of distributed energy supply systems;Computers & Chemical Engineering;2019-02

5. Optimization-Based Synthesis of Resource-Efficient Utility Systems;Resource Efficiency of Processing Plants;2018-01-05

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