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Energies
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Sustainability Assessment of Renewable Energy Systems
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Sustainability Assessment of Renewable Energy Systems

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

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 3129

Special Issue Editors

Dr. Ahmad Fitri Yusop

E-Mail Website
Guest Editor
Faculty of Mechanical and Automotive Engineering Technology / Automotive Engineering Center, Universiti Malaysia Pahang, Pekan 26600, Malaysia
Interests: renewable energy; diesel particulate matter; diesel engine; propulsion system; internal combustion engine
Dr. Kumarasamy Sudhakar

E-Mail Website
Guest Editor
Faculty of Mechanical and Automotive Engineering Technology / Fluid center & Automotive Engineering Center, Universiti Malaysia Pahang, Pekan 26600, Malaysia
Interests: sustainable development; carbon capture and sequestration; bioeconomy; solar systems; energy modelling; feasibility and performance evaluation of clean energy projects; sustainability of energy systems
Special Issues, Collections and Topics in MDPI journals
Dr. Sreenath Sukumaran

E-Mail Website
Guest Editor
Solar Research Institute, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
Interests: solar energy systems; techno-economic assessment; sustainability evaluation; modeling and simulation; data science; energy efficiency; smart microgrids; renewable energy technology

Special Issue Information

Dear Colleagues,

We invite submissions to the Special Issue of Energies on the subject area of “Beyond Techno-Economic Analysis of Renewable Energy Systems for Sustainability” OR "Sustainability Assessment of Renewable Energy Systems"

The concentration of greenhouse gases (GHG) in the Earth’s atmosphere is rising at an alarming rate. The energy generation from renewable energy (RE) sources, namely wind power, solar photovoltaic, bioenergy, geothermal, hydropower, etc., can reduce the rate of addition of GHG.  Over recent decades, various renewable energy (RE) technologies have matured and become competitive Techno-economic performance of renewable energy systems is studied extensively, either for a single locations or multiple locations. This analysis is the most commonly studied for the feasibility of energy systems and are widespread in the literature. However, techno-economic based assessment has some limitations. In several cases, technical and economic parameters failed to reveal the actual performance of the energy system, which, in turn, affects the decision-making process. Hence, there is a need for multi-dimensional assessment of the energy system.  The performance aspects can be studied broadly in terms of technical, economic, environmental, and social aspects. Further, combination of different parameters, such as energo-economic, exergo-economic, and enviro-economic is to be explored. Such holistic evaluation provides a comprehensive understanding of the system performance and could deliver the accurate and complete knowledge about the sustainability of energy systems, especially to project developers. 

This Special Issue is focused on the evaluation of sustainability of renewable energy systems. Both research articles, as well as review articles, will be considered for publication. Papers submitted to this Special Issue will undergo an unbiased and rigorous peer-review process with the aim to disseminate most recent research and developments. It is envisaged that this study will be beneficial to energy professionals, project developers, and policy makers. Topics of interest for publication include, but are not limited to:

  • Artificial intelligence for sustainability assessment;
  • Big data for performance analysis of energy systems;
  • Modelling, simulation, and optimisation of energy systems;
  • Economic, social, and environmental aspects of system performance;
  • Sustainability aspects of green hydrogen-based energy systems;
  • Heat-pump-based district heating systems;
  • Net positive energy districts/buildings;
  • Assessment of energy storage coupled renewable energy systems;
  • Thermo-enviro-economic analysis of energy systems;
  • Self-sufficiency and self-consumption in sustainable energy systems.

Dr. Ahmad Fitri Yusop
Dr. Kumarasamy Sudhakar
Dr. Sreenath Sukumaran
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

  • artificial intelligence for sustainability assessment
  • big data for performance analysis of energy systems
  • modelling, simulation, and optimization of energy systems
  • economic, social and environmental aspects of system performance
  • sustainability aspects of green hydrogen-based energy systems
  • heat pump based district heating systems
  • net positive energy districts/buildings
  • assessment of energy storage coupled renewable energy systems
  • thermo-enviro-economic analysis of energy systems
  • self-sufficiency and self-consumption in sustainable energy systems

Published Papers (2 papers)

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Research

14 pages, 6816 KiB  
Article
Sustainable Oil Palm Resource Assessment Based on an Enhanced Deep Learning Method
by Xinni Liu, Kamarul H. Ghazali and Akeel A. Shah
Energies 2022, 15(12), 4479; https://doi.org/10.3390/en15124479 - 20 Jun 2022
Cited by 2 | Viewed by 1344
Abstract
Knowledge of the number and distribution of oil palm trees during the crop cycle is vital for sustainable management and predicting yields. The accuracy of the conventional image processing method is limited for the hand-crafted feature extraction method and the overfitting problem occurs [...] Read more.
Knowledge of the number and distribution of oil palm trees during the crop cycle is vital for sustainable management and predicting yields. The accuracy of the conventional image processing method is limited for the hand-crafted feature extraction method and the overfitting problem occurs due to the insufficient dataset. We propose a modification of the Faster Region-based Convolutional Neural Network (FRCNN) for palm tree detection to reduce the overfitting problem and improve the detection accuracy. The enhanced FRCNN (EFRCNN) leads to improved performance for detecting objects (in the same image) when they are of multiple sizes by using a feature concatenation method. Transfer learning based on a ResNet50 model is used to extract the features of the input image. High-resolution images of oil palm trees from a drone are used to form the data set, containing mature, young, and mixed oil palm tree regions. We train and test the EFRCNN, the FRCNN, a CNN used recently for oil palm image detection, and two standard methods, namely, the support vector machine (SVM) and template matching (TM). The results reveal an overall accuracy of ≥96.8% for the EFRCNN on the three test sets. The accuracy is higher than the CNN and FRCNN and substantially higher than SVM and TM. For large-scale plantations, the accuracy improvement is significant. This research provides a method for automatically counting the oil palm trees in large-scale plantations. Full article
(This article belongs to the Special Issue Sustainability Assessment of Renewable Energy Systems)
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19 pages, 6681 KiB  
Article
Heat Pump Capacity Selection for TPPs with Various Efficiency Levels
by Milana Treshcheva, Irina Anikina, Dmitry Treshchev and Sergey Skulkin
Energies 2022, 15(12), 4445; https://doi.org/10.3390/en15124445 - 18 Jun 2022
Viewed by 1164
Abstract
The variety of possible solutions for the integration of heat pumps (HP) into the circuits of generation facilities dictates the need for preliminary selection of the most promising options. Determining the maximally economically efficient HP capacity may be the key limiting factor for [...] Read more.
The variety of possible solutions for the integration of heat pumps (HP) into the circuits of generation facilities dictates the need for preliminary selection of the most promising options. Determining the maximally economically efficient HP capacity may be the key limiting factor for the potential range of solutions. The purpose of the study is to analyze the influence of the type of power equipment of a thermal power plant (TPP) on the choice of HP capacity. In the course of the study, we identified factors that can influence the choice of HP capacity. The correlation between the limitation of the maximum capacity of HP (from the point of view of break-even operation in the electricity market) from the electric capacity and the efficiency of the TPP equipment was established. The ranges of HP capacity for the most common types of TPP power equipment in the Russian Federation were determined. The maximum HP capacity for TPPs based on a steam turbine unit (STU) of type K-300-170- 1P was determined. The method proposed in the paper allows limiting the number of circuits options, as well as TPPs and external conditions suitable for the use of HP. Firstly, under the conditions of a given power system and fuel prices, it is possible to determine the type of power equipment of a TPP in combination with which HP can be used. Secondly, under the conditions of a given power system and type of equipment, the maximum fuel price at which HP can be used at thermal power plants can be determined. Thirdly, under the conditions of a given type of equipment and fuel price, it is possible to select an energy system (region) in which it is possible to build a TPP with HP. It was found that increasing the efficiency of thermal power plant equipment contributes to increasing the HP power capacity and expanding the range of external conditions under which the use of HP becomes rational. It was verified that for TPP equipment of a given type, the use of HP is more rational when operating in cogeneration mode. It was found that, all other conditions being equal, an essential factor determining the range of HP capacity is the electric capacity of TPPs. Full article
(This article belongs to the Special Issue Sustainability Assessment of Renewable Energy Systems)
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