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Optimal integrated energy systems design incorporating variable renewable energy sources

Amusat, OO; Shearing, PR; Fraga, ES; (2016) Optimal integrated energy systems design incorporating variable renewable energy sources. Computers & Chemical Engineering , 95 pp. 21-37. 10.1016/j.compchemeng.2016.08.007. Green open access

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Abstract

The effect of variability in renewable input sources on the optimal design and reliability of an integrated energy system designed for off-grid mining operation is investigated via a two-stage approach. Firstly, possible energy system designs are generated by solving a deterministic non-linear programming (NLP) optimization problem to minimize the capital cost for a number of input scenarios. Two measures of reliability, the loss of power supply probability (LPSP) and energy index of reliability (EIR), are then evaluated for each design based on the minimization of the external energy required to satisfy load demands under a variety of input conditions. Two case studies of mining operations located in regions with different degrees of variability are presented. The results show that the degree of variability has an impact on the design configuration, cost and performance, and highlights the limitations associated with deterministic decision making for high variability systems.

Type: Article
Title: Optimal integrated energy systems design incorporating variable renewable energy sources
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2016.08.007
Publisher version: http://doi.org/10.1016/j.compchemeng.2016.08.007
Language: English
Additional information: © 2016 Elsevier Ltd. All rights reserved. This manuscript version is made available under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at https://creativecommons.org/licenses/. Access may be initially restricted by the publisher.
Keywords: Science & Technology, Technology, Computer Science, Interdisciplinary Applications, Engineering, Chemical, Computer Science, Engineering, Energy storage, Power generation, Reliability, Renewables variability, Systems design, Power-supply Probability, Thermal Power, Technoeconomic Optimization, Genetic Algorithm, Generation System, Battery Storage, Solar, Wind, Plant, Island
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1511790
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