Lignocellulose Biorefinery: Economic Perspectives on Industrialization, Technical Challenges and Solutions

Опубликована: Янв. 1, 2025

Язык: Английский

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Circular Economy Approach to Lignocellulosic Integrated Biorefineries

Опубликована: Янв. 1, 2025

Язык: Английский

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Enhancing the sustainability of microalgae cultivation through biosensing technology

Materials Today Sustainability, Год журнала: 2025, Номер unknown, С. 101139 - 101139

Опубликована: Май 1, 2025

Язык: Английский

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A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation

Sensors, Год журнала: 2024, Номер 24(3), С. 967 - 967

Опубликована: Фев. 1, 2024

This review delves into the critical role of automation and sensor technologies in optimizing parameters for thermal treatments within electrical power generation. The demand efficient sustainable generation has led to a significant reliance on plants. However, ensuring precise control over these remains challenging, necessitating integration advanced systems. paper evaluates pivotal aspects automation, emphasizing its capacity streamline operations, enhance safety, optimize energy efficiency treatment processes. Additionally, it highlights indispensable sensors monitoring regulating crucial parameters, such as temperature, pressure, flow rates. These enable real-time data acquisition, facilitating immediate adjustments maintain optimal operating conditions prevent system failures. It explores recent technological advancements, including machine learning algorithms IoT integration, which have revolutionized capabilities control. Incorporating innovations significantly improved precision adaptability systems, resulting heightened performance reduced environmental impact. underscores imperative nature generation, their enhancing operational efficiency, reliability, advancing sustainability

Язык: Английский

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Catalytic and thermochemical conversion of algal biomass to high-quality biofuel: A sustainable approach

Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер unknown, С. 105901 - 105901

Опубликована: Дек. 1, 2024

Язык: Английский

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Research of Green Innovation of Companies of Countries with Different Levels of Technological Development of Production

Management Systems in Production Engineering, Год журнала: 2024, Номер 32(1), С. 133 - 144

Опубликована: Фев. 26, 2024

Abstract In the conditions of transition to higher technological systems in implementation Sustainable Development Goals, companies world face question effective management green innovative development their economic activities. The goal research is formation organizational and support for innovations countries with different levels production. This contains: describe known positions scientific schools regarding managerial aspects world; form this administration, by developing an assessment potential (the data Global Innovation Index Report were taken as a source empirical data), criterion values purpose clustering. methods used include: system method; bibliometric analysis; method assessing competitiveness; generalization. objects evaluation include from five Central Eastern Europe. main results study theory; forming innovation production data); countries’ companies. conclusions should establishing actualization managing involving order make decisions on part all interested stakeholders. For further research, focus communication links between groups stakeholders, basis direction criteria developed authors ensure level stakeholders (state bodies, investors, manufacturers, suppliers, clients, financial institutions) organizational, social, can be useful governments international national programs economy terms Goals; company managers when strategic tactical plans business development; students scientists educational programs.

Язык: Английский

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Boosting the transition to biorefineries in compliance with sustainability and circularity criteria

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(5), С. 113361 - 113361

Опубликована: Июнь 18, 2024

Язык: Английский

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Valorization of Deep Eutectic Solvent Pretreated Lignocellulosic Biomass for Improved Biogas Production

Опубликована: Янв. 1, 2024

Chemical pretreatment is an important method in the valorization of biomass for bioenergy production. The recalcitrant nature lignocellulosic materials makes them resistant to microbial attacks, which reduces or impairs their usefulness as feedstock Although chemical has been proven useful and efficient fractionating materials/biomass production biofuels bio-based chemicals, effects wastewater generated from process on environment have issue great concern. need greener solvents arrest situation encouraged significant research efforts this direction. Chemicals such ionic liquids (ILs) extensively studied, still ongoing. However, some undesirable properties ILs, limited applications, led quest better solvents, eventually use deep eutectic (DESs). Numerous studies conducted applications different classes DESs, including catalysis, extraction, gas adsorption/absorption, purifying manufacture biodiesels metal electrodeposition; however, DESs pretreat biogas via anaerobic digestion (AD) sparsely explored. This review seeks reveal extent work done so far respect, address likely challenges, identify untapped possibilities future opportunities. Overall, provides valuable insights into potential revolutionize renewable energy biomass.

Язык: Английский

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Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection

Digital Chemical Engineering, Год журнала: 2024, Номер unknown, С. 100207 - 100207

Опубликована: Дек. 1, 2024

Язык: Английский

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Quantitative Evaluation of AI Productivity and Quality in Design Processes: A Case Study on Engine Piston Diameter Calculation and 3D Modeling

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2024, Номер 1

Опубликована: Сен. 18, 2024

<div class="section abstract"><div class="htmlview paragraph">Artificial Intelligence (AI) is currently regarded as the foremost technology for automating routine and repetitive tasks, leading to increased productivity. However, quality of creative design work with AI remains questionable. This paper presents a quantitative analysis productivity through dynamic simulation assesses results in diameter calculation construction 3D model an engine piston case study. To evaluate productivity, segregates tasks based on working hours. The formulation calculating diameter, derived from requirements, compared standard literature review. Additionally, generated by created human intelligence Computer-Aided Design (CAD) software, reflecting characteristics properties real pistons. While research abundant, few studies address usefulness AI-generated results. study aims these three aspects. As anticipated, demonstrates numerical increase enhancing variable. process involving mathematical lack utility without additional work. Our findings lead us conclude that can enhance when used suggest predict instructions, thereby saving time. Nevertheless, AI's ability create models limited simplified conditions, further knowledge must be imparted enable it produce readily usable designed components.</div></div>

Язык: Английский

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