Sustainable Bioenergy Production Research Articles

Optimizing tight oil extraction from low permeability tight reservoirs: a study on stress sensitivity effects and applications in carbon capture, utilization, and storage

This paper takes into consideration the impact of stress sensitivity on bioenergy production from low permeability tight reservoirs, focusing on the post-fracturing phase. This paper established a trilinear flow model that effectively takes into account the dynamics of such reservoirs. This model incorporates stress sensitivity parameters and uses the perturbation transformation and Laplace transformation to solve the productivity prediction formula. The final productivity prediction curve post-fracturing is achieved through a numerical inversion method. This study shows that the stress sensitivity effect significantly diminishes the productivity of fractured horizontal wells used in bioenergy extraction. By introducing stress sensitivity effect parameters, this paper manages to uncover the influence law of mobility and artificial fracture parameters on productivity. Notably, as the reservoir mobility increases, the cumulative bioenergy production from fractured horizontal wells improves significantly. In addition to the above, this paper also scrutinizes the sensitivity of artificial fracture parameters and optimize both the quantity and length of these fractures. This plays a crucial role in enhancing the productivity and efficiency of bioenergy extraction from these tight reservoirs. The applicability and reliability of this method are extensively tested, thereby establishing its potential in guiding the development of low permeability reservoirs post-fracturing. Importantly, this research sets the groundwork for combining bioenergy production with Carbon Capture, Utilization, and Storage (CCUS) technologies. By focusing on optimization and stress management in tight reservoirs, this paper contributes to the sustainable production of bioenergy and reduce carbon emissions, moving a step closer to a cleaner and sustainable future.

Non-food crops derived lignocellulose biorefinery for sustainable production of biomaterials, biochemicals and bioenergy: A review on trends and techniques

With advancement in biotechnology and reduction in dependency upon non-renewable refineries, the lignocellulose-based bio-economy has become the part of circular economy. Lignocellulose derived from non-food crops can help to boost the bio-economy when used as a valuable resource in biorefineries for production of various biomaterials, bioenergy and biochemicals for various commercial applications. Non-food crops have always been important in agriculture, supplying fuel, fibre, building materials, and a variety of other valuable resources. This will not only help to stabilise the circular bioeconomy, but it will also help to reduce waste and greenhouse gas pollution. However, there are barriers to using non-food residues in biorefinery in terms of product, innovation, and commercialization. The other major challenge in utilization of plant-based substrate is their complex structure and recalcitrant nature. Thus, advanced biotechnological interventions and policies are required to enhance such biorefineries to produce sustainable bioproducts. This review provides a critical overview on trends and techniques used for the valorisation of non-food crops derived lignocellulose for biomaterials, bioenergy, biochemicals, and other value-added products within the green biorefinery along with critical suggestions on the future potential of non-food crops for environmental sustainability.

Lignins as Promising Renewable Biopolymers and Bioactive Compounds for High-Performance Materials.

The recycling of biomass into high-value-added materials requires important developments in research and technology to create a sustainable circular economy. Lignin, as a component of biomass, is a multipurpose aromatic polymer with a significant potential to be used as a renewable bioresource in many fields in which it acts both as promising biopolymer and bioactive compound. This comprehensive review gives brief insights into the recent research and technological trends on the potential of lignin development and utilization. It is divided into ten main sections, starting with an outlook on its diversity; main properties and possibilities to be used as a raw material for fuels, aromatic chemicals, plastics, or thermoset substitutes; and new developments in the use of lignin as a bioactive compound and in nanoparticles, hydrogels, 3D-printing-based lignin biomaterials, new sustainable biomaterials, and energy production and storage. In each section are presented recent developments in the preparation of lignin-based biomaterials, especially the green approaches to obtaining nanoparticles, hydrogels, and multifunctional materials as blends and bio(nano)composites; most suitable lignin type for each category of the envisaged products; main properties of the obtained lignin-based materials, etc. Different application categories of lignin within various sectors, which could provide completely sustainable energy conversion, such as in agriculture and environment protection, food packaging, biomedicine, and cosmetics, are also described. The medical and therapeutic potential of lignin-derived materials is evidenced in applications such as antimicrobial, antiviral, and antitumor agents; carriers for drug delivery systems with controlled/targeting drug release; tissue engineering and wound healing; and coatings, natural sunscreen, and surfactants. Lignin is mainly used for fuel, and, recently, studies highlighted more sustainable bioenergy production technologies, such as the supercapacitor electrode, photocatalysts, and photovoltaics.

Quantitative and qualitative evaluation of novel energy cane accessions for sugar, bioenergy, 1 G, and 2 G ethanol production

Traditionally, the sugarcane breeding programs are focused on increasing sugar content, often at the expense of fiber content and biomass yield. However, with the growing interest in 2 G (cellulosic) ethanol and bioenergy production, there has been a paradigm shift toward quantitative parameters. This study investigated the qualitative and quantitative parameters of energy cane clones throughout the harvest season. It hypothesizes that juice composition, fiber content, and maturation curve will vary, reaching a point where these characteristics become more desirable for industrial processes. Three energy cane clones (C33, C34, and C35) derived from a breeding program at the Agronomic Institute of Campinas (IAC) were selected for evaluation alongside a commercial reference cultivar (IAC-942094). The results indicate that energy cane possesses significant potential for biofuel and energy production. Additionally, energy cane clones exhibit higher agricultural yields and greater production of sugars per unit area than traditional sugarcane. The high fiber content in energy cane clones, coupled with their agricultural productivity, makes them excellent sources of lignocellulosic material for both 1 G and 2 G ethanol production and cogeneration of electric energy. Energy cane clones C34 and C35, in particular, demonstrate the potential to increase 2 G ethanol production and the supply of electrical and thermal energy by up to 300% and 250%, respectively, compared to conventional sugarcane. These findings highlight the promising role of energy cane as a sustainable bioenergy production alternative, contributing to improved sustainability indices in the biofuel and biomass energy sectors.

Functional and sequence-based metagenomics to uncover carbohydrate-degrading enzymes from composting samples

The renewable, abundant, and low-cost nature of lignocellulosic biomass can play an important role in the sustainable production of bioenergy and several added-value bioproducts, thus providing alternative solutions to counteract the global energetic and industrial demands. The efficient conversion of lignocellulosic biomass greatly relies on the catalytic activity of carbohydrate-active enzymes (CAZymes). Finding novel and robust biocatalysts, capable of being active under harsh industrial conditions, is thus imperative to achieve an economically feasible process. In this study, thermophilic compost samples from three Portuguese companies were collected, and their metagenomic DNA was extracted and sequenced through shotgun sequencing. A novel multi-step bioinformatic pipeline was developed to find CAZymes and characterize the taxonomic and functional profiles of the microbial communities, using both reads and metagenome-assembled genomes (MAGs) as input. The samples’ microbiome was dominated by bacteria, where the classes Gammaproteobacteria, Alphaproteobacteria, and Balneolia stood out for their higher abundance, indicating that the degradation of compost biomass is mainly driven by bacterial enzymatic activity. Furthermore, the functional studies revealed that our samples are a rich reservoir of glycoside hydrolases (GH), particularly of GH5 and GH9 cellulases, and GH3 oligosaccharide-degrading enzymes. We further constructed metagenomic fosmid libraries with the compost DNA and demonstrated that a great number of clones exhibited β-glucosidase activity. The comparison of our samples with others from the literature showed that, independently of the composition and process conditions, composting is an excellent source of lignocellulose-degrading enzymes. To the best of our knowledge, this is the first comparative study on the CAZyme abundance and taxonomic/functional profiles of Portuguese compost samples.Key points• Sequence- and function-based metagenomics were used to find CAZymes in compost samples.• Thermophilic composts proved to be rich in bacterial GH3, GH5, and GH9 enzymes.• Compost-derived fosmid libraries are enriched in clones with β-glucosidase activity.

Agricultural waste biomass for sustainable bioenergy production: Feedstock, characterization and pre-treatment methodologies

The worldwide trend in energy production is moving toward circular economy systems and sustainable availability of sources. Some advanced methods support the economic development of energy production by the utilization of waste biomass, while limiting ecological effects. The use of agro waste biomass is viewed as a major alternative energy source that expressively lowers greenhouse gas emissions. Agricultural residues produced as wastes after each step of agricultural production are used as sustainable biomass assets for bioenergy production. Nevertheless, agro waste biomass needs to go through a few cyclic changes, among which biomass pre-treatment contributes to the removal of lignin and has a significant role in the efficiency and yield of bioenergy production. As a result of rapid innovation in the utilization of agro waste for biomass-derived bioenergy, a comprehensive overview of the thrilling highlights and necessary advancements, in addition to a detailed analysis of feedstock, characterization, bioconversion, and contemporary pre-treatment procedures, appear to be vital. To this end, the current status in the generation of bioenergy from agro biomass through various pre-treatment procedures was examined in this study, along with presenting relevant challenges and a perspective for future investigations.

Boosting starch productivity of mixotrophic duckweed via light and organic carbon treatment

Duckweeds is the most promising nonfood feedstock for sustainable bioenergy production. Mixotrophy is the best growth mode compared to photoautotrophy and heterotrophy for biomass and starch accumulation in duckweed. This work investigated the impacts of light intensities (3,000, 6,000, 9,000, 12,000, 15,000, and 20,000 lux) and exogenous glucose concentrations (5, 10, 15, 20, 30, and 40 g L−1) on the biomass and starch accumulation of mixotrophic duckweed. The results showed that increasing light intensity and the initially applied concentration of glucose enhanced both growth and starch content. However, high concentrations of glucose (15–40 g L−1) resulted in a higher biomass yield but concurrently greatly inhibited photosynthesis. Moreover, excess carbon was redirected into starch biosynthesis under high glucose. The maximum starch yield of 655.4 g m−2 was obtained at 40 g L−1 glucose, with a maximum starch content of 72.7% of dry biomass and a biomass yield of 1024.6 g m−2. The optimum light intensity for starch accumulation was 20,000 lux, with a maximum starch yield of 236.2 g m−2. These results indicated that high organic carbon levels are a robust way to promote starch production in mixotrophic duckweed.

The Role of Fungal Fuel Cells in Energy Production and the Removal of Pollutants from Wastewater

Pure water, i.e., a sign of life, continuously circulates and is contaminated by different discharges. This emerging environmental problem has been attracting the attention of scientists searching for methods for the treatment of wastewater contaminated by multiple recalcitrant compounds. Various physical and chemical methods are used to degrade contaminants from water bodies. Traditional methods have certain limitations and complexities for bioenergy production, which motivates the search for new ways of sustainable bioenergy production and wastewater treatment. Biological strategies have opened new avenues to the treatment of wastewater using oxidoreductase enzymes for the degradation of pollutants. Fungal-based fuel cells (FFCs), with their catalysts, have gained considerable attention among scientists worldwide. They are a new, ecofriendly, and alternative approach to nonchemical methods due to easy handling. FFCs are efficiently used in wastewater treatment and the production of electricity for power generation. This article also highlights the construction of fungal catalytic cells and the enzymatic performance of different fungal species in energy production and the treatment of wastewater.

A functional trait framework for integrating nitrogen‐fixing cover crops into short‐rotation woody crop systems

AbstractDeveloping approaches to simultaneously maximize short‐rotation woody crop (SRWC) productivity while minimizing footprints associated with intensive management is imperative to profitable and sustainable bioenergy production systems. Intercropping nitrogen (N)‐fixing cover crops in SRWC systems is an overlooked approach to sustainably intensify SRWC production by increasing N availability using less environmentally costly inputs. Here, we discuss how functional traits (e.g., seasonal activity, lifespan, leaf habit, soil exploration) of cover crops and SRWCs may interact through space and time influencing access to light, water, and nutrients to provide a framework for successful integration of cover crops into SRWCs. Next, we summarize the literature on intercropping forest plantations with N‐fixing cover crops to identity research gaps and outline future research needs and opportunities. And then, using empirical N demand and productivity data from SRWCs and cover crop N inputs from the literature, we illustrate how SRWC leaf habit (conifer evergreens and deciduous hardwoods) would influence successful integration of cover crops and potential N fixation. We estimate that integrating cover crops into SRWCs could supply 27% and 72% of the N demand across a 10‐year rotation for an evergreen and a deciduous hardwood, respectively. These figures suggest theseintegratedSRWC systems may approach a virtual minimal external N input when other biogeochemical cycles are considered. The guiding principles presented here are grounded in ecological theory and provide a framework for sustainable intensification of forest production.

Photosynthetic Microorganisms: Cultivation and Application

Photosynthetic microorganisms such as microalgae, cyanobacteria, and purple bacteria have attracted much interest as promising platforms for the sustainable production of high-value products and bioenergy [...]

Transgenic ZmMYB167 Miscanthus sinensis with increased lignin to boost bioenergy generation for the bioeconomy

BackgroundPerennial C4 grasses from the genus Miscanthus are widely regarded as leading and promising dedicated bioenergy crops due to their high biomass accumulation on marginal land with low environmental impacts and maintenance requirements over its productive life. There is an urgent socio-political and environmental need to ramp up the production of alternative, affordable and green bioenergy sources and to re-direct the net zero carbon emissions trajectory. Hence, up-scaling of Miscanthus cultivation as a source of biomass for renewable energy could play an important role to strategically address sustainable development goals for a growing bio-based economy. Certain Miscanthus sinensis genotypes are particularly interesting for their biomass productivity across a wide range of locations. As the aromatic biomass component lignin exhibits a higher energy density than cell wall polysaccharides and is generally used as an indicator for heating or calorific value, genetic engineering could be a feasible strategy to develop M. sinensis biomass with increased lignin content and thus improving the energetic value of the biomass.ResultsFor this purpose, transgenic M. sinensis were generated by Agrobacterium-mediated transformation for expression of ZmMYB167, a MYB transcription factor known for regulating lignin biosynthesis in C3 and C4 grasses. Four independent transgenic ZmMYB167 Miscanthus lines were obtained. Agronomic traits such as plant height, tillering and above-ground dry weight biomass of the transgenic plants were not different to that of wild-type control plants. Total lignin content of the transgenic plants was ~ 15–24% higher compared with control plants. However, the structural carbohydrates, glucan and xylan, were decreased by ~ 2–7% and ~ 8–10%, respectively, in the transgenic plants. Moreover, expression of ZmMYB167 in transgenic plants did not alter lignin composition, phenolic compounds or enzymatic saccharification efficiency yields but importantly improved total energy levels in Miscanthus biomass, equivalent to 10% higher energy yield per hectare.ConclusionsThis study highlights ZmMYB167 as a suitable target for genetic lignin bioengineering interventions aimed at advancing and developing lignocellulosic biomass supply chains for sustainable production of renewable bioenergy.

Optimization of Cobalt Nanoparticles for Biogas Enhancement from Green Algae Using Response Surface Methodology

Organic matter may be converted to energy through various methods, but the most preferable one is the Anaerobic Digestion (AD), specifically for biogas production. In sustainable bioenergy production, it can undoubtedly be called one of the most widely used methods from the various feedstock. Over the past years, algae waste has become an increasingly acute environmental problem but luckily it can be used as feedstock to produce bioenergy. In order to improve the energy productivity of green algae, this study is focused on the introduction of cobalt (Co) nanoparticles (NPs) in the AD process. The concentration of Co NPs was optimized using response surface methodology (RSM). Mesophilic temperature range (25–45 °C), initial pH (5–9) and Co NPs dosage (0.5–2 mg/L) were selected as the independent variables for RSM. The results indicated that at optimized values (Co NPs concentration = 1 mg/L, initial pH = 7, and digestion temperature = 35 °C) produced the highest biogas yield of 298 ml. An experiment was carried out at optimized conditions to explore the effect on biogas production. The results showed that Co NPs had a positive influence on biogas yield. The low concentrations achieved higher biogas production as compared to higher ones. A maximum biogas yield of 678 mL is achieved by Co NPs (1 mg/L). AD performance was further evaluated by the modified Gompertz model. Different kinetic parameters were calculated. The values of the performance indicators confirmed that the mathematical model fitted well with experimental data.

Enhancement of sustainable bioenergy production by valorising tomato residues: A GIS-based model

In order to increase the utilization of renewable energy sources, the biomethane production through anaerobic digestion has notably developed over the last years. Although, it is worldwide recognized, that valorising waste resources (i.e., by-products) is an opportunity to improve the efficiency rate of the agro-industrial chains, by reducing economic and environmental impact, it is necessary to support the strategic planning development of a future sustainable biomethane chain in line to circular economy. In this study, by adopting network information technologies, the importance of a strategic planning for sustainable developing biomethane sector was highlighted, since feedstocks logistic and supply phase is a key-aspect of any bioenergy project. The developed Geographic Information Systems (GIS) – methodology, that could be applied in any territorial area considering any type of biomass, allowed to define suitable locations for allocating new anaerobic digestion plants with the aim of developing a sustainable valorisation of tomato residues, by minimising the economic and environmental impacts.The achieved results provided advanced knowledge for the literature on the topic, helping to develop an operational GIS-tool for defining sustainable strategies for planning new plants, and proved that the development of integrated approach to define sustainable strategies for resource management along the whole supply chain is crucial.

Green and blue light-dependent morphogenesis, decoupling of phycobilisomes and higher accumulation of reactive oxygen species and lipid contents in Synechococcus elongatus PCC 7942

Cyanobacteria are one of the emerging model systems for the sequestration of CO 2 and sustainable production of bioenergy and chemicals. However, the spectral composition of light, which changes greatly in a dynamic light environment, could affect their fitness, growth and development. We studied the photobiology of the model cyanobacterium Synechococcus elongatus PCC 7942 using different lights such as white light (WL), red light (RL), green light (GL) and blue light (BL) to investigate the response of the organism to different wavelengths of photosynthetic active radiation. Results obtained suggested that S. elongatus PCC 7942 can not efficiently utilize green and blue wavelengths of light, and the two light colors compromised the fitness and growth of the organism by inducing high levels of reactive oxygen species (ROS). GL and BL, interestingly, increased the lipid content in the biomass and caused decoupling of phycobilisomes from the thylakoid membranes. We report light quality-dependent morphogenesis in S. elongatus PCC 7942 where GL and BL caused cell elongation while RL induced small cell morphology. Gene expression analysis suggested that GL and BL could regulate cell shape by altering the expression of cytoskeleton protein-encoding morphogenes. Thus, it is evident that the growth and fitness of S. elongatus PCC 7942 can be compromised in dense culture or at higher depths in the water column where GL and/or BL-enriched environment prevails. However, decreased fitness is offset by increased lipid content and elongated cellular morphology. • Photoecophysiology of S. elongatus PCC 79422 was studied under different lights. • Green and blue light did not support the growth of S. elongatus PCC 7942. • Green and blue light induces high levels of reactive oxygen species. • Green and blue light induces the highest accumulation of lipids at the cost of growth. • Light quality affects morphogenesis and alters the expression of morphogenes.

Uncovering four domains of energy management in palm oil production: a sustainable bioenergy production trend.

This study aims to identify current and future research trends in sustainable bioenergy production. The systematic review is conducted using a social network analysis method. The data were collected from the Web of Science and Scopus database (2010-2021). Out of the 1747 articles reviewed, 100 were found to be relevant for thematic analysis. The results uncovered four domains of palm oil biodiesel production for sustainable energy management: (1) renewable energy, (2) biodiesel, (3) bioenergy, and (4) life cycle assessment. This study has proposed a sustainable bioenergy production framework based on the four main domains. The framework sheds light on the future of sustainable bioenergy production. The findings indicate the potential growth of the research topic, including sustainable bioenergy, palm oil biodiesel, energy management, and carbon emissions reduction. Future research must incorporate the energy management framework to design a sustainable energy management ecosystem strategy. In addition, the industry must comply with the international sustainability standard and sustainable development goals to manage the energy supply chain and consistency of palm oil biodiesel production.

Nanomaterials based sustainable bioenergy production systems: Current trends and future prospects

The global energy crisis affects all of us. With a growing global population and finite fossil fuel supplies, we must find new energy sources. Alternative energy sources must be prioritized. Biofuels like biodiesel, biohydrogen, biomethanol, and bioethanol have come a long way in recent decades. These alternative fuels are from low-cost, renewable sources like algal, microbial, and plant biomass. Several governments, including India, are improving their renewable energy production capabilities. The main obstacles to rapid biofuel adoption are time and cost. For biofuel to truly become a viable alternative to fossil fuels, nanotechnology has recently provided the much-needed impetus. Nanomaterials' unique structural behavior, such as small size (nanoscale size), has increased their use in biofuel production. It improves efficiency and reduces the time required to convert waste into biofuels. This review addresses the latest information on various types of nanoparticles, and challenges faced and the future prospects of emerging applications of nanoparticles in biofuel production.

The Potential of the Bioenergy Market in the European Union—An Overview of Energy Biomass Resources

One of the bases of the European policy and energy strategy is the biomass and bioenergy obtained from it. It is estimated that by 2023, the annual demand for biomass will have increased from the current level of 7 EJ to 10 EJ. There are significant differences between estimates of the bioenergy potential due to the fact that the authors of publications do not use consistent methodology and assumptions. Forest biomass, agricultural residues, and energy crops are the three main sources of biomass for energy production. Energy crops are likely to become the most important source of biomass. Land use and its changes are a key issue in the sustainable production of bioenergy as the availability of biomass determines its potential for energy security. This article is a review of the latest publications on the bioenergy potential of the member-states of the European Union. The consumption of energy and its potential were presented, with a special focus on renewable sources, especially biomass. The potential of biomass resources was presented and the types of biomass and its sources of origin were indicated. The research was conducted on the member-states of the European Union, whose policy is based on long-term development from the dependence on fossil resources to the dominance of renewable resources. As results from the research, in recent years, there has been a significant increase in the potential of both forest biomass (from 4.8 EJ per annum to the forecasted 15 EJ per annum) and agricultural biomass from (from 2.3 EJ per annum to the forecasted 7 EJ per annum). The increase in the demand for energy biomass in the EU member-states is balanced by partial imports from non-EU countries.

Stakeholders' Perception of Bioenergy Projects in Marginal and Underutilized Lands in Italy

Large land areas in European countries can be considered marginal, underutilized, and contaminated (MUC). Many recent studies have shown that bioenergy crop cultivation can make this land profitable, creating new income opportunities for local citizens without interfering with food production. However, farmers, landowners, and local communities must become more familiar with bioenergy systems, potential value chains, and markets. This paper aims to present the results of stakeholder consultations implemented in two case study areas in Italy, i.e., Basilicata and Sardinia, about the possible establishment of bioenergy systems in the MUC land available at the local level. Stakeholders' perceptions were collected through interviews conducted on a one-to-one basis and through multi-stakeholder working group meetings organized in the context of BIOPLAT-EU, an H2020 project aimed at promoting the efficacy and profitability of using MUC land for sustainable bioenergy production. By and large, the findings of the consultations indicate that local stakeholders are prone to accept the establishment of innovative bioenergy value chains based on the cultivation of MUC lands in their regions. The majority of them recognized that bioenergy could bring a wide range of benefits at the local level, not only in terms of environmental externalities but also of economic and social development, such as through the creation of new business and job opportunities, therefore serving to alleviate or prevent the land abandonment and population decline currently on-going in these areas.

Characterizing sludge pyrolysis by machine learning: Towards sustainable bioenergy production from wastes

Sludge pyrolysis has sparked the interest of researchers because of its capability to dispose of hazardous residues while producing valuable bioproducts. Numerous expensive and laborious experiments are conducted to understand sludge pyrolysis. Machine learning technology can eliminate the need for experimental measurements by systematically learning relationships between variables from historical data. This research aimed to propose a machine learning model to characterize sludge pyrolysis products. A comprehensive database covering various sludge types and pyrolysis reaction conditions was constructed from experimental data. The k-nearest neighbor algorithm was used to reconstruct the missing inputs of sludge composition. The principal component analysis method was then used to decrease dataset dimensionality and acquire relevant information. The obtained scores were normalized and introduced into three machine learning models. The input variables were the chemical properties of sludge and reaction conditions. The response parameters were the distribution and composition of pyrolysis products. Based on descriptive data analysis, the optimum bio-oil yield was obtained at temperatures between 500 and 600 °C. At higher temperatures (700–800 °C), a transition was observed in the product distribution towards more syngas. The random forest regression model showed the highest accuracy among the applied models, with a correlation coefficient higher than 0.813 and a relative mean squared error lower than 12.51. The SHAP analysis using the random forest algorithm was successfully conducted to understand the importance of input variables on output responses. The five top significant features affecting bio-oil yield were ash content, fixed carbon content, operating temperature, and volatile matter content.

An integrated decision support framework using single-valued neutrosophic-MASWIP-COPRAS for sustainability assessment of bioenergy production technologies

As a clean and renewable energy, bioenergy is one of the most prospective alternatives to fossil fuels. Therefore, it has been received much attention and occupied a considerable status in the world’s energy consumption. Moreover, the sustainable bioenergy production can effectively decrease the risk of energy poverty and contribute to the economic and ecological benefits, particularly in developing countries. However, the selection of bioenergy production technologies (BPTs) has significant challenges and uncertainties due to various factors. Thus, the aim of this study is to evaluate the BPTs and choose the most suitable and sustainable alternative among them. For this purpose, an integrated decision-making framework is proposed under single-valued neutrosophic environment. In the present approach, the method based on the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) weighting integrated procedure (MASWIP) is introduced to compute the relative significances of the considered sustainability indicators. Then, the MASWIP-based complex proportional assessment (COPRAS) is introduced to prioritize the BPTs from single-valued neutrosophic perspective. Further, the present framework is implemented on a case study of BPTs evaluation problem with uncertain, inconsistent and indeterminate information, which approves the effectiveness and practicality of introduced method. To assess its robustness and stability, sensitivity and comparative studies are performed. The advantages of the developed method are emphasized in terms of stability and reliability by comparisons with five existing approaches, and the effectiveness of the present approach is verified. The findings of the study prove that the application of single-valued neutrosophic MASWIP-based COPRAS method in BPT selection is robust.