How could Artificial Intelligence be used to increase the potential of biorefineries in the near future? A review

Arias, Ana; Feijoó, Gumersindo; Moreira, María Teresa

doi:10.1016/j.eti.2023.103277

Cited by 10 publications

(2 citation statements)

References 94 publications

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“…The quest to develop biorefineries with autonomous control by advanced models based on the parameterization of embedded dynamic systems and with data servers that store, receive, and transmit operating data and that can apply minimization techniques and AI to generate acceptable emission levels and maximization techniques in the quality and quantity of fuel, fertilizers, electrical power, and chemical compounds generated is a global objective, especially in terms of achieving carbon neutrality: the effect of consuming the same amount of carbon produced during all stages of the process [154].…”

Section: Artificial Intelligence Applicationsmentioning

confidence: 99%

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

Buratto,

Muniz,

Nied

et al. 2024

Sensors

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

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Section: Artificial Intelligence Applicationsmentioning

confidence: 99%

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

Buratto,

Muniz,

Nied

et al. 2024

Sensors

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“…et al [18] investigated the role of financial decentralization in the processes of decarbonization of South African manufacturing companies, which makes it possible to establish new innovative approaches to the financial management of green technologies in countries with a high level of technological development of production. Important in establishing a high level of technological development of production and its compliance with environmentally-oriented directions of innovative work of the company is also the study of the role of artificial intelligence in the implementation of secondary waste processing, these aspects were considered by the scientist Gumersindo F. et al [19] in his scientific work. The processes of globalization by the G7 countries in the context of the implementation of green innovations are a modern direction of movement towards the implementation of the Sustainable Development Goals, these processes were studied in work [20] by Akram R. et al Scientist Zhang P. et al [21], considered the impact of technological innovations on renewable energy in the countries of East Asia, which makes it possible to determine the actualization of green innovations in the work of energy generating companies.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Taraniuk,

Korsakiene,

Taraniuk

et al. 2024

Management Systems in Production Engineering

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

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

Olugbemide,

Ifijen,

Mahata

et al. 2024

Deltas of the World

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How could Artificial Intelligence be used to increase the potential of biorefineries in the near future? A review

Cited by 10 publications

References 94 publications

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

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

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

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

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