Special Issue "Renewable Energy and Utility System Optimization for Sustainable Industries"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Cristina Rodriguez
E-Mail Website
Guest Editor
School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, PA1 2BE, UK
Interests: biomass; biofuels; renewable energy; microalgae
Dr. Li Sun
E-Mail Website
Guest Editor
School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley, PA1 2BE, UK
Interests: whole site system optimisation and scheduling; system reliability and availability analysis; waste heat recovery

Special Issue Information

Dear Colleagues,

The integration of new renewable energy systems and utility system optimization are two ways of improving the sustainable performance of industrial processes. The environmental and economic sustainability of industries greatly depends on the source and use of energy and the optimization of the multiple utilities. This Special Issue invites novel contributions and comprehensive reviews covering all aspects of sustainable industries; focused but not limited to the following:

  • Bioenergy in industry
  • Energy optimization
  • Waste heat recovery
  • Decarbonization
  • Pinch analysis
  • Machine learning for system optimization
  • System reliability, availability, and maintainability (RAM) analysis
  • System optimization and scheduling

Dr. Cristina Rodriguez
Dr. Li Sun
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bioenergy
  • renewable energy
  • energy optimization
  • waste heat recovery
  • sustainable development
  • decarbonization
  • pinch analysis
  • machine learning
  • system optimization and scheduling
  • carbon footprint
  • RAM

Published Papers (1 paper)

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Research

Article
Developing a Hybrid Approach Based on Analytical and Metaheuristic Optimization Algorithms for the Optimization of Renewable DG Allocation Considering Various Types of Loads
Sustainability 2021, 13(8), 4447; https://doi.org/10.3390/su13084447 - 16 Apr 2021
Cited by 1 | Viewed by 397
Abstract
The optimal location of renewable distributed generations (DGs) into a radial distribution system (RDS) has attracted major concerns from power system researchers in the present years. The main target of DG integration is to improve the overall system performance by minimizing power losses [...] Read more.
The optimal location of renewable distributed generations (DGs) into a radial distribution system (RDS) has attracted major concerns from power system researchers in the present years. The main target of DG integration is to improve the overall system performance by minimizing power losses and improving the voltage profile. Hence, this paper proposed a hybrid approach between an analytical and metaheuristic optimization technique for the optimal allocation of DG in RDS, considering different types of load. A simple analytical technique was developed in order to determine the sizes of different and multiple DGs, and a new efficient metaheuristic technique known as the Salp Swarm Algorithm (SSA) was suggested in order to choose the best buses in the system, proportionate to the sizes determined by the analytical technique, in order to obtain the minimum losses and the best voltage profile. To verify the power of the proposed hybrid technique on the incorporation of the DGs in RDS, it was applied to different types of static loads; constant power (CP), constant impedance (CZ), and constant current (CI). The performance of the proposed algorithm was validated using two standards RDSs—IEEE 33-bus and IEEE 69-bus systems—and was compared with other optimization techniques. Full article
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