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Modeling, Optimization and Techno-Economic Analysis of Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".

Deadline for manuscript submissions: 11 July 2024 | Viewed by 542

Special Issue Editors


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Guest Editor
Department of Industrial Engineering, University of Naples Federico II, 80125 Napoli, Italy
Interests: operation and design optimization of distributed energy resources; sector coupling; integrated local energy communities; energy hubs; demand response; energy storage
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Naples Federico II, 80125 Napoli, Italy
Interests: heat transfer in energy systems; thermal energy storage; optimization techniques in heat transfer and energy systems; energy saving in buildings
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy systems play an essential role in the economic and social development of a country and in the quality of life. With the increase in energy demand on a worldwide scale, the depletion of fossil fuels, and growing environment protection awareness, improving the efficiency of energy resource use has become one of the key challenges to address for a sustainable development. Energy system engineering including modeling, simulation, techno-economic analysis, optimization, and validation has become a key area of research with the main focus being the development of energy systems with low or even more zero environmental impacts. Moreover, with the advent of integrated energy systems aiming at integrating different energy carriers such as electricity, natural gas, heating, cooling, hydrogen, biomass, and mobility for the fulfilment of diversified energy demands, achieving the collaborative and synergic planning, operation, and interplay of heterogenous energy systems represents a compelling need to bring economic and environmental benefits to different energy sectors. 

The aim of this Special Issue is to collect innovative research on state-of-the-art energy system modeling, simulation, techno-economic analysis, optimization, implementation, and validation from system components to complex integrated energy systems. There is particular interest in advanced algorithms, recent theoretical developments, novel applications, target case studies, innovative business models, and extensive reviews focused on, but not limited to, the following topics:

  • Modeling, simulation, techno-economic analysis, optimization, and validation of sector coupling components and processes.
  • Modeling, simulation, techno-economic analysis, optimization, and validation of renewable energy systems, including the assessment of renewable uncertainty.
  • Modeling, simulation, techno-economic analysis, optimization, and validation of energy storage solutions, including electric mobility.
  • Integrated energy system modeling, operation and design optimization considering flexibility, including multi-energy hubs and energy communities.
  • Techno-economic analysis of integrated energy systems at both local and regional level.
  • Energy modeling and optimization in the built environment.
  • Machine learning for energy forecasting and renewable energy integration in integrated grids.

Dr. Marialaura Di Somma
Prof. Dr. Nicola Bianco
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 modeling
  • energy systems optimization
  • techno-economic analysis
  • integrated energy systems
  • sector coupling
  • energy storage
  • renewable energy systems
  • machine learning

Published Papers (1 paper)

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Research

29 pages, 1411 KiB  
Article
Global Benchmarking and Modelling of Installed Solar Photovoltaic Capacity by Country
by Hussah Alghanem and Alastair Buckley
Energies 2024, 17(8), 1812; https://doi.org/10.3390/en17081812 - 10 Apr 2024
Viewed by 390
Abstract
Setting solar photovoltaic capacity targets and implementing supportive policies is a widespread strategy among nations aiming to achieve decarbonisation goals. However, policy implementation without a thorough understanding of the intricate relationship between social, economic, and land-use factors and solar photovoltaic deployment can lead [...] Read more.
Setting solar photovoltaic capacity targets and implementing supportive policies is a widespread strategy among nations aiming to achieve decarbonisation goals. However, policy implementation without a thorough understanding of the intricate relationship between social, economic, and land-use factors and solar photovoltaic deployment can lead to unintended consequences, including over- or underdeployment and failure to reach targets. To address this challenge, an investigation was conducted into the relationship between 36 factors and solar photovoltaic deployment across 143 countries from 2001 to 2020 using correlation analysis and principal component analysis. From these factors, five key variables were identified that collectively explain 79% of the year-to-year variation in photovoltaic capacity. Using these variables, a neural network model was constructed, enabling the estimation of capacity additions by country with an error of less than 10%. Additionally, a solar photovoltaic deployment index was developed, serving as a benchmark for comparing a country’s actual historical photovoltaic deployment to similar nations. Furthermore, the model’s utility in evaluating the impact of solar photovoltaic policies was explored. Through three distinct use cases—forecasting solar photovoltaic capacity additions, developing a solar photovoltaic deployment index, and assessing the impact of solar photovoltaic policies—the model emerges as a potentially powerful tool for governments and policy makers to assess solar photovoltaic deployment effectively and formulate strategies to promote sustainable solar energy growth. Full article
(This article belongs to the Special Issue Modeling, Optimization and Techno-Economic Analysis of Energy Systems)
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