Green Field Research Articles

Isolation of Streptomyces inhibiting multiple-phytopathogenic fungi and characterization of lucensomycin biosynthetic gene cluster

Soil microorganisms with diverse bioactive compounds such as Streptomyces are appreciated as valuable resources for the discovery of eco-friendly fungicides. This study isolated a novel Streptomyces from soil samples collected in the organic green tea fields in South Korea. The isolation process involved antifungal activity screening around 2400 culture extracts, revealing a strain designated as S. collinus Inha504 with remarkable antifungal activity against diverse phytopathogenic fungi. S. collinus Inha504 not only inhibited seven phytopathogenic fungi including Fusarium oxysporum and Aspergillus niger in bioassays and but also showed a control effect against F. oxysporum infected red pepper, strawberry, and tomato in the in vivo pot test. Genome mining of S. collinus Inha504 revealed the presence of the biosynthetic gene cluster (BGC) in the chromosome encoding a polyene macrolide which is highly homologous to the lucensomycin (LCM), a compound known for effective in crop disease control. Through genetic confirmation and bioassays, the antifungal activity of S. collinus Inha504 was attributed to the presence of LCM BGC in the chromosome. These results could serve as an effective strategy to select novel Streptomyces strains with valuable biological activity through bioassay-based screening and identify biosynthetic gene clusters responsible for the metabolites using genome mining approach.

Green Information Systems—A Bibliometric Analysis of the Literature from 2000 to 2023

This review investigates the evolution of green information systems (ISs) based on an examination of the literature spanning the years 2000 to 2023. Using bibliographic analysis, a method that enables the study of a large volume of sources, this paper establishes connections among pertinent concepts in the green ISs field, outlining the authors’ interests in the analysed period. Based on the identification of key trends, primary directions, interdisciplinary initiatives, and emerging areas, the assessment reveals that the interest in minimizing the negative impact of information and communication technologies (ICTs) on the environment is a relevant research topic, with significant evolution in the analysed period. On this basis, this study emphasizes the need for the integration of environmental protection in all stages of the IS life cycle and in all industries, a holistic approach we consider essential for the sustainable growth of the ICT-based societal domains.

Blue grabbing of the green crop fields: A development conundrum in southwest coastal Bangladesh

Blue grabbing of green crop fields for brackish water shrimp farming in southwest coastal Bangladesh has long been criticized for salinization, reduced crop production, occupational shift, migration, marginalization of farmers, increasing social conflict, income inequality, and unemployment. This socio-ecologically irresponsible farming system has been expanded to vast crop fields in southwest coastal Bangladesh over the last four decades. Business and policy people branded this export earning sector as the ‘White Gold’ industry, and they termed this massive farming shift as a ‘Blue Revolution’. However, the unplanned expansion of the low-yielding extensive shrimp farming is now neither competitive in the global shrimp market nor socio-ecologically sound. The current declining production trend, upcoming risks, reduced competitiveness, and the dismal prospect of the shrimp industry strongly call for a new land use policy supporting the reversion of shrimp farming into crop agriculture, and intensification, and modification of the existing extensive shrimp farm, where possible. This opinion article aims to draw policy attention to planning comprehensive crop zoning, enacting agricultural land protection and land use planning, and implementing integrated blue-green farming systems in southwest coastal Bangladesh.

Urban redevelopment of a new town: The case of Zoetermeer in the Netherlands

The success factors contributing to the development of Zoetermeer, a former Dutch new town, into a contemporary city include dedicated public leadership, long-term commitment from social housing providers, private developers, institutional investors, timely and transparent communication with residents and the need to act and outperform the city benchmark. Zoetermeer was designed and built as a new town close to the government centre at The Hague and celebrated its 60th anniversary in 2022. It is now home to more than 125,000 residents. For decades Zoetermeer’s growth took place in the surrounding green fields. Therefore, the existing capacity-building methodology was not fit for the purpose of the ‘brownfield’ urban redevelopment challenge. The city authorities were also reluctant to engage in pro-active real estate stakeholder leadership. Since 2017, however, RITTERWALD pan-European residential strategy consultancy has supported Zoetermeer’s urban redevelopment strategy, including leading the preparation of a 10,000+ homes Urban Development Agreement (Stadsbouwakkoord) which is now being delivered to provide mixed tenure neighbourhoods. This achievement involved educating the municipal administration in the practice of urban redevelopment, including hosting regular masterclasses with high-level public and private sector actors. How a new town grew up and reinvented itself is explored in this paper.

Weed infestation of narrow-leaved lupine crops in grain-grass-rowed crop rotation in the North-West of Russia

The results of the long term (2012–2018) study of weed infestation of green fallow fields with narrow-leaved lupin in the crop rotation including cereals, grasses and row crops in the North-West region of Russia (Leningrad region) are presented. The assessment of weediness in the narrow-leaved lupine variety Oligarch crops was carried out annually at 24 permanent survey sites (0.1 square meter). Based on the results of the surveys, the formation of a diverse and constant species composition of weeds (from 15 to 25 species), mainly of medium and severe degree of weediness (141–593 specimens per square meter), with the proportion of young plants ranging from 90.4 to 99.7 %. The mass species of weeds were lamb’s quarters, field pansy, corn spurry, hemp-nettles, fumitory, shepherd’s purse, prevalent perennial weeds were field sowthistle, coltsfoot, red sorrel, couch grass, marsh woundwort. The prevailing influence of weather conditions and individual characteristics on the weed infestation of narrow-leaved lupine crop has been determined. The combined effect of two factors was expressed by 47.7, 57.8 and 47.1 % in terms of species abundance, initial abundance and final phytomass of weeds, respectively. Long term application of mineral fertilizers led to an increase in the number of annuals (by 1.5–1.6 times) and a decrease in the density of growth of perennial weed species (by 1.6–1.9 times). The influence of the integrated plant protection system used in the crop rotation was manifested in a significant decrease in the density of perennial weed species (by 4.6 times) in narrow-leaved lupine crop.

Experimental study on the thermal management performance of lithium-ion battery with PCM combined with 3-D finned tube

As an important intermediary between the green energy and human society, the lithium-ion battery has promising prospects in the new energy vehicles, energy storage, and green development fields. However, lithium-ion batteries can generate a large amount of heat during operation. In addition, excess temperature or big temperature difference of the surface of the lithium-ion battery can reduce its performance, which also results in reducing its operational life and even triggers incidents such as fires and explosions. Therefore, studying efficient thermal management methods for lithium-ion batteries is crucial for increasing their application range. This paper proposes a novel thermal management method by combining 3-D finned tubes with PCM. The thermal management system maintains a battery operating temperature less than 45 °C and a maximum temperature difference less than 2.4 °C. The influence of different fin structure parameters on the melting dynamics of PCM and the heat transfer performance is then discussed. The obtained results show that under each solid–liquid ratio of PCM, the heat transfer performance increases with the increases of the fin height, while it initially decreases and then increases with the increase of the width and axial spacing. Moreover, the heat transfer performance of the 3-D finned tube with different PCM liquid–solid ratios is investigated. The obtained results demonstrate that for constant fin parameters, the heat transfer reaches its highest performance for a PCM liquid–solid ratio greater than 2:2. The findings of this study lay a foundation for the design of efficient thermal management systems incorporating PCM applications.

A novel TLFD-GA algorithm for multi-objectives optimization of ORC power plants with the effect of pressure drop considered

This research introduces a novel TLFD-GA algorithm for the three-level criteria optimization of organic Rankine cycle (ORC) power plants. It replaces the non-dominated sorting of NSGA-II with three-level fuzzy decision to simultaneously optimize environmental, thermodynamic, and techno-economic criteria. The algorithm provides direct optimization results without needing additional decision-making methods. Furthermore, the impact of pressure drop in plate heat exchangers is investigated, revealing a proportional relationship between pressure drop and the increment of evaporation pressure. A parametric study on 24 basic and recuperative trans-critical geothermal ORC systems indicates that compensating for pressure drop leads to a 5% decrease in thermodynamic performance, a 20% decrease in techno-economic performance, and a 20–60% increase in heat transfer area per net output power. After TLFD-GA optimization, the saving to investment ratio improves by an average of 4.5% across scenarios. R1270 stands out with a remarkable ratio of 3.13 and 4.32 in medium and high-temperature geothermal reservoirs. Moreover, the proposed TLFD-GA optimization algorithm has demonstrated its superiority in terms of superb convergence and stability when compared to NSGA-II, which suggests its prospective application in the low-carbon and green energy fields.

Multi-objective optimization for visual, thermal, and cooling energy performance of building envelope design in the composite climate of Jaipur (India)

Climate-responsive passive envelope features such as windows, louvers, and shading have significant impact on a building's energy and economic performance. This paper presents a multi-objective optimization (MOO) approach to enhance energy, visual and thermal performances of a building by considering a wide range of numerous design possibilities. A residential apartment building located in a semi-arid composite climate (Köppen climate classification: Bsh) of Jaipur, India is considered for the analysis. The multi-objective optimization approach involves three steps: firstly, developing a base simulation model using Rhinoceros software, and then performing multi-objective optimization by Octopus plugin, and finally applying multi-criteria decision-making to select the optimal values of thermal conductivity, window-to-wall ratio of south and west façades, solar heat gain coefficient, visual light transmittance, window sill height, louvers depth, distance between slits, slits angle, external shade depth, and shade (slits) count. The optimized results reported a six-fold Useful Daylight Illuminance (UDI) improvement, 72% cooling energy demand reduction, and 34% thermal comfort enhancement from the worst-case scenario. The presented approach can aid designers in selecting optimal envelope features during building design, refurbishment, and renovation or for green field development.

Assessment of the combined inputs of antimicrobials from top soil improvers and irrigation waters on green leafy vegetable fields

Sustainable food systems involve the recycling of biowaste and water. This study characterizes thirty-one top soil improvers of anthropogenic, animal, and green waste origin, along with eleven irrigation waters from rivers, channels, and civil wastewater treatment plants (cWWTPs) for the presence of antimicrobials. Liquid chromatography coupled with hybrid High-Resolution Mass Spectrometry (LC-HRMS/MS) was employed to identify forty-eight drugs belonging to the classes of sulfonamides (11), tetracyclines (7), fluoroquinolones (10), macrolides (12), amphenicols (3), pleuromutilins (2), diaminopyrimidines (1), rifamycins (1) and licosamides (1). Sludge from cWWTPs, animal manure, slurry, and poultry litter exhibited the highest loads for sulfonamides, tetracyclines, fluoroquinolones and macrolides (80, 470, 885, and 4,487 ng g−1 wet weight, respectively) with nor- and ciprofloxacin serving as markers for anthropogenic sources. In compost and digestate, antimicrobials were found to be almost always below the limits of quantification. Reused water from cWWTPs for irrigation in open-field lettuce production were contaminated in the range of 12-221 ng L−1 with sulfonamides, tetracyclines, and fluoroquinolones, compared to very few detected in channels and surface waters. The Antimicrobials Hazard Index (HI), based on the Predicted No Effect Concentration for Antimicrobial Resistance (PNECAMR), was significantly >100 in contaminated topsoil improvers from urban and animal sources. Accounting for worst-case inputs from topsoil improvers and irrigation water, as well as dilution factors in amended soil, fluoroquinolones only exhibited an HI around 1 in open fields for lettuce production. The origin of topsoil improvers plays a pivotal role in ensuring safe and sustainable leafy vegetable production, thereby mitigating the risk of Antimicrobial Resistance (AMR) onset in food-borne diseases and the transfer of AMR elements to the human gut flora.

Enhanced environmental purification with novel Pd/ZnO nanorod–decorated building materials through piezo‐photocatalytic synergistic effect

AbstractIntegrating photocatalytic technology with building materials is an imperative new trend in the green building field. Here, a novel Pd/ZnO nanorod array‐decorated ceramic tile has been designed for the first time, aiming to purify the surrounding environment. Because of the piezoelectric characteristics of ZnO nanorods, the environmental degradation efficiency of this tile‐based structure under light irradiation could be improved through injecting mechanical vibration stress. The unique piezo‐photocatalytic synergistic effect, due to the piezoelectric field created by bent ZnO nanorods and the Schottky junction formed by the noble metal Pd/ZnO heterostructures, could effectively separate the photoinduced carriers and reduce the rate of recombination, boosting the degradation efficiency. The tile‐based Pd/ZnO reaches the greatest catalytic efficiency of 75% for dye degradation in 30 min when ultrasonic and solar irradiation are applied simultaneously. Present results offer a fresh idea for creating novel piezo‐photocatalytic materials applied in eco‐friendly green buildings.

Shifts in Soil Bacterial Communities under Three-Year Fertilization Management and Multiple Cropping Systems

The current study was undertaken to investigate how organic and inorganic fertilizers shape soil bacterial communities and soil nitrogen and carbon status and to find their relationships with plant production. Soils were collected from fields under a three-year application of green manures (vetch (GMV), field bean (GMB), and wheat (GMW)), livestock manure (MF), inorganic mineral fertilizer (IF), and control (no nitrogen fertilization). The plants cultivated during the three years were tomato, watermelon, and pepper, respectively. The findings showed an increase in crop yields under both organic and inorganic fertilizers, in which the effects of leguminous green manures (GMV and GMB) were more pronounced, equal to +65–81% in tomato, +32–40% in watermelon, and +51–57% in pepper. An extensive modification in the bacterial communities was observed under organic fertilization. These changes were associated with a higher ratio of Proteobacteria (a copiotrophic phylum) to Acidobacteria (an oligotrophic phylum) in GMV and GMB, due to higher soil N content compared to IF and control treatments. Therefore, the data indicated an increase in soil N and organic C levels, as well as higher plant production by replacing IF with GMV, GMB, and MF, suggesting a promising movement to preserve the soil ecosystem. Such changes were more pronounced in MF-treated soils, where bacterial diversity improved and the heterogeneity of bacterial communities was preserved.

Blue economy in the green fields: rethinking value chain analysis of inland fisheries in Bangladesh

Bangladesh ranks as the third largest country in terms of inland freshwater resources. This study seeks to explore the current development of the inland cultured fish market value chain and the criteria for its expansion. A field survey was conducted across inland fishery farms in eight districts, representing all eight divisions of Bangladesh. From each district, four farms were selected, including small, medium, and large operations. Regression analyses were performed on various covariates in relation to total sells, with and without resampling. Key factors identified as significant include total production, farmer's age, farm size, electricity costs, minnow expenses, culture duration, loan transactions, and specific regional divisions. The findings suggest that as farmer’s age, expand their farm areas, and extend the culture period, total sells are likely to increase. According to the survey data, retailers enjoy the highest profit margin at 29%, while farm owners or farmers hold the second highest margin at 26% for inland carp fish.

Advances in equol production: Sustainable strategies for unlocking soy isoflavone benefits

Daidzein is an abundant polyphenol present in soy and other legumes. It accumulates mostly in seed and seed pod during the plant development in response to biotic and abiotic stress. Due to the high consumption of soy and soy derivative food, daidzein is one of the most abundant polyphenols in human and cattle diets. Similar to other phytochemicals, daidzein is not absorbed or metabolized by human cells, but transformed by enzymatic cascades of the gut microbiome. The product of daidzein “fermentation” is equol and related molecules. Equol [7-hydroxy-3-(4'-hydroxyphenyl)-chroman] is considered the most active metabolite of all soybean isoflavones, presenting a high level of antioxidant and estrogenic activity. This bioactive molecule presents estrogen-like activity by specifically binding to 5α-dihydrotestosterone and inhibiting its binding to the androgen receptor. Biotransformation of daidzein into equol requires enzymes that are not widespread along all microbiome taxa but restricted to a relatively small number of enzymes from the family Eggerthellaceae (phylum Actinomycetota, formerly Actinobacteria), strict anaerobes that inhabit the colon of humans and anoxic areas of the intestinal tract of other mammals. The isolation and characterization of equol-producing bacteria from the human gut resulted in the identification of bacterial species that, due to their metabolic capacity, were named Adlercreutzia equolifaciens, Slackia equolifaciens, Slackia isoflavoniconvertens, among others. Combining genomic and biochemical analysis, the puzzle of diadzein biotransformation was decoded. It includes an initial step catalyzed by β-glucosidases, enzymes that are commonly found in the intestinal tract and deglycosylate the natural form of daidzein in the plant, followed by the action of bacterial enzymes daidzein reductase, dihydrodaidzein reductase, tetrahydrodaidzein reductase, and dihydrodaidzein racemase. Undoubtedly, improving daidzein production from soy products or enhancing daidzein biotransformation by the human gut microbiome is of notorious biotechnological and biomedical interest. In addition, the chemistry catalyzed by the equol biosynthetic enzymes is of interest in the green chemistry field. However, the extreme oxygen sensitivity of the microbes and enzymes that participate in these pathways still impose a challenge for translating the knowledge obtained with recombinant enzymes and model organisms into the food industry. In this manuscript we review the process of equol biosynthesis and the effort in synthetic biology for production of equol into industrial or biomedical setups.

Encapsulation of multiple enzymes within a microgel via water-in-water emulsions for enzymatic cascade reactions.

Enzyme-loaded spherical microgels with diameters of several micrometers have been explored for use in therapeutic microreactors and biosensors. Conventional preparation strategies for enzyme-loaded microgels utilized water-in-oil emulsions or flow chemistry techniques. The former damage enzyme activity using organic solvents and the latter are expensive and difficult to expand because of the complex system. In this study, we present a simple strategy for creating multiple enzyme-loaded gelatin-based microgels with tunable diameters in a single flask. This strategy was based on our finding that enzymes spontaneously partitioned in a dispersed methacryloyl gelatin aqueous solution in a poly(vinylpyrrolidone) (WGelMA/WPVP) aqueous solution. The method achieved an encapsulation efficiency of over 70% even with four types of enzymes and retained their activity owing to the full aqueous system. Additionally, the encapsulated β-galactosidase activity was maintained for 24 hours at pH 6, although naked β-galactosidase lost approximately 60% of its activity, which was superior to that of previous enzyme-loaded gelatin gels. Moreover, this simple method enabled the production of 10 g-scale or more microgels in one batch. We also demonstrated that multiple enzyme-loaded gelatin microgels functioned as cascade microreactors for lactose and glucose sensing. This versatile strategy enables the production of enzyme-loaded microgels while maintaining the enzyme activity using very low technologies. This result contributes to the easy preparation of enzyme-loaded microgels and their applications in the biomedical and green catalytic fields.

Understanding Oil Production: Investigating Factors Affecting the Oil Production Decline in Blocks 3 & 7 of South Sudan (2017-2022)

The study has comprehensively examined factors that have led to oil production decline in block 3 & 7 in Paloch of South Sudan from 2017-2022 as well as appraising solutions to the oil production decline. The study objectives were subjected through rigorous empirical literature review and the gaps in the literature were filled through field research. During fieldwork, mixed research methodology was deployed. This includes qualitative and quantitative research design. Research instruments such as questionnaires and interview guides were used to collect the data with a target population of 100 people that was later determined via Yamane’s formula to end up with a sample of 80 respondents. The study found systematic and drastic oil production decline of block 3 & 7. From 2017, the average daily production was 131,000 barrels per day (bpd). However, in 2022 the average daily production was 97,267 barrels per day (bpd). The study findings indicate that the causes of oil production are high water cut (produced water), too much sand produced, floods, poor & obsolete technologies and wars & conflicts in block 3 & 7 of Paloch. The study found the solutions to this oil production decline as re-injection of the water to the reservoir, proper reservoir management, laboratory testing for the sand before it accumulates, use of dykes and river Nile dredging for floods prevention, use of modern and relevant technologies and finally maintenance of genuine peace and security across the country. The study concludes with immediate implementation of the solutions to the oil production decline and carrying out more explorations as most of the oilfields are still green fields for new discoveries.

舞动绿茵——淄博蹴鞠小镇规划设计

舞动绿茵——淄博蹴鞠小镇规划设计

Quantifying the dynamics of relationships between eco-innovations and SDG 8

Achieving the sustainable development goals is a major challenge for all the countries. The possibilities are constantly being sought to ensure environmental sustainability and economic sustainability at the same time. The optimal tool in this process is green finance, which is greatly important to achieve the sustainable development goals (SDGs) from the point of view of environmental and economic sustainability. The study's main goal was to analyze and quantify the relationships between the selected categories of eco-innovations and SDG 8 (Decent Work and Economic Growth) as one of the 17 Sustainable Development Goals established by the United Nations General Assembly in 2015. Annual data were collected from all the countries that have been European Union members since 2013. The outcomes of the regression models confirmed the assumption of a relationship between the eco-innovations and SDG 8. The closest relations were found in the field of employment, meaning that with the growth of eco-innovations, the employment rate should also increase. We also examine the countries' position in eco-innovations and SDG 8. Northern European countries received the most positive evaluations, while southern countries had negative evaluations. The study results provide valuable information to support the decision-making processes for the eco-innovation policymakers, as well as for the institutions and the regulatory authorities. Our findings clearly illustrate achieving SDG 8 through eco-innovative development and confirm the detailed insights into the explored relations between eco-innovations and human resources. This study's findings also support the creation of a national and international comparative platform and the development of benchmarking indicators in the eco-innovations and green growth field.

Peroxymonosulfate activation by low-cost modified rubber during contact electrification for antibiotics efficient degradation at circumneutral pH: Mechanism and toxicity assessment

Contact electrification is known as a traditional phenomenon widely used in the green energy field, but its application in water pollution control is rarely reported. Herein, a new strategy to activate peroxymonosulfate (PMS) by contact-electro-catalysis (CEC) for antibiotics degradation was proposed and a series of contact-electro-catalysts was prepared by modified low-cost ethylene-propylene-diene-monomer rubber (EPDM). In CEC system, the optimized contact-electro-catalysts (S-EPDM/Fe-5) could degrade 91.38 % of 10 ppm TC within 30 min at a PMS dosage of 0.5 mM and pH of 6.9. 1O2 and SO4− radicals were demonstrated as main active substances for tetracycline degradation. Based on HPLC-MS results and DFT calculation, tetracycline degradation path in CEC system was proposed. The toxicity evaluation results showed that acute toxicity and bioaccumulation factor of intermediates during tetracycline degradation were significantly reduced. This work provides a new strategy and low-cost catalysts for PMS activation to promote its application in water treatment.

Holistic Evaluation of Reservoir Oil Viscosity in Breidablikk Field – Including Mud Gas Logging Approach

Breidablikk is a green field on the Norwegian Continental Shelf that just started the preproduction drilling of 23 wells in two structures. We have two reservoir fluid samples from exploration wells in each structure with relatively high viscosity of 4 and 8 cP, respectively. Our dynamic reservoir simulations on the Breidablikk Field indicate that any change in the viscosity in each direction can lead to a 20 to 30% difference in oil recovery. Therefore, updating our reservoir models with the viscosity distribution in the field along with the drilling activities is important. Currently, our models assume homogeneous reservoir oil viscosities across each structure. In this study, our primary aim is to conduct a holistic evaluation of the reservoir oil viscosity, using multiple methods to determine the most effective approach for qualitatively mapping the oil viscosity across the field, distinguishing between the low- and high-viscosity regions. The technologies chosen for this assessment are standard mud gas data, advanced mud gas data, and analysis of oil extracts from cuttings, given they have previously demonstrated their capability to estimate fluid properties while drilling or within a limited time frame, as evidenced by the work of Cutler et al. (2022). The methods were compared using pressure/volume/temperature (PVT) measurements as a benchmark. As of today, this method is considered the most reliable to obtain reservoir fluid properties, and in consequence, these measurements serve as the reference viscosity values in the study. The results of our analysis in Breidablikk show that an approach based on advanced mud gas data provide an oil quality classification that distinguishes between high- and low-viscosity reservoir oils, using the ethane/n-pentane ratio as the best parameter correlated to reservoir oil viscosity in Breidablikk. The threshold for the two viscosity regions is identified from a reservoir fluid database from the Breidablikk-Grane area, and the oil viscosity region estimated from advanced mud gas data agrees well with the PVT measurements. The viscosity estimation using a standard mud gas approach based on methane to propane compositions indicates that this technology cannot correctly differentiate between low- and high-viscosity region wells in the Breidablikk Field. Hence, it is not recommended. Further findings from our analysis indicate that the utilization of oil-based mud, combined with a high drilling speed, significantly affects the quality of the cuttings in Breidablikk. Consequently, the application of traditional geochemical analysis methods on cutting extracts is challenging. Therefore, this method is not recommended for the qualitative identification of the viscosity region of a given well. Benchmarking all available technologies allows us to select a real-time, reliable, and cost-efficient method to qualitatively estimate reservoir oil viscosity in Breidablikk. The selected method is field-specific and not general for other heavy oil fields. In summary, providing an accurate reservoir oil viscosity mapping at an early stage in field development plays a crucial role in the further optimization of drilling targets and ultimately leads to improved oil recovery (Halvorsen et al., 2016; Maraj et al., 2021).

Artificial intelligence-driven bioenergy system: digital green innovation partner selection of bioenergy enterprises based on interval fuzzy field model

PurposeThe aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.Design/methodology/approachFuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.FindingsDigital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.Originality/valueThis study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.