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Modeling Analysis and Optimization of Energy System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 540

Special Issue Editors

Department of Chemistry and Bioscience, Aalborg University, 6700 Esbjerg, Denmark
Interests: energy system integration; green energy production; energy saving; energy system design; carbon capture; utilization and storage
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Marine Technology and Environment, Dalian Ocean University, Dalian, China
Interests: optimization of energy system; renewable energy; integrated energy systems; energy storage

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Guest Editor
Department of Chemical and Biomolecular Engineering, University of Cantabria, Santander, Spain
Interests: CO2 capture; CO2 utilization; electrochemistry; (photo)electroreduction; (photo)oxidation; green hydrogen
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the context of the ongoing energy transition and the global drive towards carbon neutrality, the optimization and efficient management of energy systems have become critical focal points for research and innovation. his special issue aims to highlight cutting-edge methodologies, analytical frameworks, and optimization strategies that address current challenges and opportunities within the energy sector.  We extend an invitation to researchers, academics, and industry professionals to submit original research articles, comprehensive review papers, and insightful case studies that push the boundaries of current knowledge in the modeling, analysis, and optimization of energy systems.

Topics of Interest

Submissions are encouraged but not limited to the following topics:

  • Innovative modeling techniques for renewable energy systems
  • Multi-generation system modeling and optmization
  • Advanced algorithms for the optimization of energy production, distribution, and consumption
  • Data analytics and machine learning applications in energy systems
  • Integration of renewable energy sources into existing grids
  • Energy storage technologies and their impact on energy systems
  • Policy implications and regulatory frameworks for sustainable energy systems
  • Economic and environmental impact assessments of energy systems
  • Case studies on successful implementation of integrated energy systems
  • Simulation and digital twin technologies for energy system optimization

Dr. Haoshui Yu
Dr. Lina Wang
Dr. Guillermo Díaz-Sainz
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 submissions that pass pre-check are 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. Energies 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 2600 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

  • energy systems
  • renewable energy
  • system integration
  • modeling and optimization

Published Papers (1 paper)

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Research

15 pages, 3513 KiB  
Article
Multi-Objective Optimization of an Organic Rankine Cycle (ORC) for a Hybrid Solar–Waste Energy Plant
by Lina Wang, Jun Yang, Bing Qu and Chang Pang
Energies 2024, 17(8), 1810; https://0-doi-org.brum.beds.ac.uk/10.3390/en17081810 - 10 Apr 2024
Viewed by 367
Abstract
In pursuit of sustainable development and mitigation of the intermittency challenge associated with solar energy, this study proposes a hybrid solar system integrating waste heat incineration alongside solar power generation and distinct heat provision. Leveraging the superior energy efficiency of the organic Rankine [...] Read more.
In pursuit of sustainable development and mitigation of the intermittency challenge associated with solar energy, this study proposes a hybrid solar system integrating waste heat incineration alongside solar power generation and distinct heat provision. Leveraging the superior energy efficiency of the organic Rankine cycle (ORC) in medium- and low-temperature scenarios, a parabolic trough collector (PTC) is selected for its cost-effectiveness and long-term operational reliability. Dowtherm A and toluene are identified as the optimal working fluids for the PTC and ORC, respectively. To optimize this complex system, a combination of artificial neural networks (ANNs) and multi-objective optimization via non-dominated sorting genetic algorithm II (NSGA-II) is employed, streamlining the optimization process. Thermal dynamic simulations are executed using Engineering Equation Solver (EES, V11) to validate the proposed system’s performance. TOPSIS is employed to identify the optimal solution from the Pareto frontier. The results indicate that the hourly cost of the system stands at USD 43.08, with an exergy efficiency of 22.98%. The economic analysis reveals that the solar collector constitutes the most significant portion of the total initial cost, representing 53.2%, followed by the turbine, thermoelectric generator (TEG), and waste heat incineration, in descending order of costliness. Full article
(This article belongs to the Special Issue Modeling Analysis and Optimization of Energy System)
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