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Energies
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Environmental Applications of Bioenergy and Biomass, 2nd Edition
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Environmental Applications of Bioenergy and Biomass, 2nd Edition

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A4: Bio-Energy".

Deadline for manuscript submissions: closed (10 April 2025) | Viewed by 2413

Special Issue Editors

Dr. Abrar Inayat

E-Mail Website
Guest Editor
School of Engineering, Robert Gordon University, Aberdeen AB10 7AQ, UK
Interests: renewable and sustainable energy systems; biomass and bioenergy; waste to energy; process system engineering; heat integration; modelling, simulation and optimization; biofuels and hydrogen production; environmental science and engineering; solar thermal energy; energy management; hybrid energy systems; CO2 capture and utilization
Special Issues, Collections and Topics in MDPI journals
Dr. Mohamed Abdallah

E-Mail Website
Guest Editor
Biomass & Bioenergy Research Group, Research Institute of Sciences and Engineering, University of Sharjah, 27272 Sharjah, United Arab Emirates
Interests: solid waste management; waste-to-energy; advanced wastewater treatment; microbial fuel cells; life cycle assessment
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Abdallah Shanbleh

E-Mail Website
Guest Editor
Biomass & Bioenergy Research Group, Research Institute of Sciences and Engineering, University of Sharjah, 27272 Sharjah, United Arab Emirates
Interests: sustainability; biomass and bioenergy; waste to energy; environmental engineering; engineering education
Special Issues, Collections and Topics in MDPI journals
Dr. Lisandra Rocha Meneses

E-Mail Website
Guest Editor
Department of Applied Bioeconomy, Wroclaw University of Environmental and Life Sciences, 51-630 Wrocław, Poland
Interests: lignocellulosic biomass; anaerobic digestion; biofuel; bioethanol; biomethanol; biomethane; biogas; biomass pretreatment; zero-waste; second and third generation biofuel production

Special Issue Information

Dear Colleagues,

It is time to take responsibility and action as individuals and as a society for the severe impacts caused by our rising demand for electricity, heat, cooling, and transportation fuels. The scientific community must come together and investigate the most efficient technologies, applications, and pathways that can be used to supress our energetic needs. Such research can promote the development of cost-effective applications that will bring about energy security, reduce fossil fuel depletion, and reduce the environmental impacts caused by fossil fuels.

This Special Issue intends to address the gaps and challenges that affect the bioenergy production chain, all the way from the type and source of biomass resources to the production process, products, and final end uses. All types of original submissions are welcome. The topics of interest include, but are not limited to, the following:

  • Different types and sources of feedstock;
  • Utilization and implementation of new technologies and techniques;
  • Use of different strategies for bioresource recovery;
  • Production of value-added products, bioenergy, and biofuels;
  • Applications of different bioenergy and biomass products for end use;
  • Thermal applications;
  • Biochemical routes;
  • Chemical pathways;
  • Optimization techniques and modeling methods;
  • Sustainable circular economy and biomass valorization.

Dr. Abrar Inayat
Dr. Mohamed Abdallah
Prof. Dr. Abdallah Shanbleh
Dr. Lisandra Rocha Meneses
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

  • unprocessed biomass
  • non-food crops
  • aquatic feedstocks
  • genetically modified organisms
  • heat and power
  • combustion
  • torrefaction
  • gasification
  • pyrolysis
  • carbonization
  • anaerobic digestion
  • fermentation
  • esterification
  • transesterification
  • valorization
  • zero-waste

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Related Special Issue

Published Papers (2 papers)

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Research

30 pages, 4323 KiB  
Article
A Multilayer Perceptron Feedforward Neural Network and Particle Swarm Optimization Algorithm for Optimizing Biogas Production
by Arief Abdurrakhman, Lilik Sutiarso, Makhmudun Ainuri, Mirwan Ushada and Md Parvez Islam
Energies 2025, 18(4), 1002; https://doi.org/10.3390/en18041002 - 19 Feb 2025
Viewed by 757
Abstract
Efficient biogas production significantly impacts greenhouse gas (GHG) emissions and carbon sequestration by reducing emissions and enhancing carbon storage. Nonetheless, the consistency and optimization of biogas production are hindered by fluctuations in key input variables, namely, pH, moisture content, organic loading rate (OLR), [...] Read more.
Efficient biogas production significantly impacts greenhouse gas (GHG) emissions and carbon sequestration by reducing emissions and enhancing carbon storage. Nonetheless, the consistency and optimization of biogas production are hindered by fluctuations in key input variables, namely, pH, moisture content, organic loading rate (OLR), and temperature, which significantly impact the quality of agricultural waste biomass and biogas production. Any fluctuations in these variables can affect biogas productivity. This study aims to provide valuable optimization parameters for maximum biogas production using rice straw and cow dung as agricultural waste biomass for biogas input materials. Therefore, machine learning techniques such as multilayer perceptron feedforward neural networks with a particle swarm optimization (PSO) combination generate optimal values for each variable for maximum biogas production. This study uses three variants of the training function for neural networks, namely gradient descent with momentum and adaptive learning rate, gradient descent with momentum, and gradient descent with adaptive learning rate. The findings reveal that, under an optimum pH value of 6.0000, a humidity of 62.3176%, an OLR of 67.6823 kg.m3/day, and a temperature of 37.0482 °C, biogas production has the potential to increase to 2.91 m³/day with a high accuracy testing value of R2 = 0.90. These methods in use accurately predict the optimal parameters, with a maximum deviation of 8.48% from experimentally derived values and mean square error (MSE) of 0.0051243. This study emphasizes the benefits of using multilayer perceptron feedforward neural networks and particle swarm optimization to optimize operational parameters and accurately predict biogas production. Full article
(This article belongs to the Special Issue Environmental Applications of Bioenergy and Biomass, 2nd Edition)
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22 pages, 1363 KiB  
Article
Challenges in the Valorization of Green Waste in the Central European Region: Case Study of Warsaw
by Krystyna Lelicińska-Serafin, Anna Rolewicz-Kalińska and Piotr Manczarski
Energies 2024, 17(20), 5056; https://doi.org/10.3390/en17205056 - 11 Oct 2024
Cited by 3 | Viewed by 1165
Abstract
Expanding green areas in cities results in growth in green waste generation. This study presents the findings of an investigation into green waste from selective collection in a large Central European city (Warsaw, Poland), which can be identified as a valuable biomass resource. [...] Read more.
Expanding green areas in cities results in growth in green waste generation. This study presents the findings of an investigation into green waste from selective collection in a large Central European city (Warsaw, Poland), which can be identified as a valuable biomass resource. The research objective was to identify the properties of garden waste from single-family housing to determine valorization opportunities, emphasizing the utilization of GW as a source of energy. The research yielded several findings, including a notable degree of variability in fuel properties, including moisture content (CV = 30%), lower heating value (CV = 14.3%), and ash content (CV = 62.7/56.2%). The moisture content suggests composting, while the fertilizing properties indicate suitability for anaerobic digestion. The instability of the fuel properties, coupled with the elevated levels of chlorine, sulfur, and moisture, constrains the use of garden waste in thermal processes and alternative fuel production. Pyrolysis could be a viable approach for green waste feedstock, offering value-added products depending on the processing conditions and pre-treatment. Nevertheless, implementing a selective collection system is a critical condition for the optimal utilization of bio-waste, facilitating the quality and property control of green and food waste. This is essential for their effective processing, including energy recovery, thereby contributing to the efficient valorization of biomass. Full article
(This article belongs to the Special Issue Environmental Applications of Bioenergy and Biomass, 2nd Edition)
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