Green Chemistry Technologies: Sustainable Approach to Chemical Engineering

A special issue of ChemEngineering (ISSN 2305-7084).

Deadline for manuscript submissions: closed (30 August 2021) | Viewed by 4616

Special Issue Editor


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Guest Editor
Department of Chemical Thermodynamics and Kinetics, Institute of Chemistry, Saint Petersburg State University, Saint Petersburg, 198504, Russia
Interests: green chemistry; energy efficiency; smart use of natural resources; reacting systems; coupled processes; chemical thermodynamics

Special Issue Information

Dear Colleagues,

We have moved to a time where a sustainable approach to chemical engineering will play a critical role in the development of both chemical industry and all of humankind. Today energy and resource-saving environmentally friendly processes of chemical technology come to the fore in the global and national economies and energy economy due to the unstable situation at the energy market, since there are significant price fluctuations, and due to a tendency of prevention of global warming, i.e., reducing greenhouse gas emissions. Envisioning of novel industrial technologies and the development of existing ones have a great significance in improving energy efficiency and the environmental friendliness of industrial production, including such energy-intensive industries as chemical and petrochemical industries. In this regard, development and implementation of energy-efficient resource-saving processes in the chemical industry is currently a topical direction of fundamental and applied research in the field of green chemistry.

Theoretical and experimental papers reporting novel synthetic routes and chemical processes as well as modified syntheses and processes successfully redesigned in accordance with the principles of green chemistry are accepted for publication in the Special Issue of ChemEngineering. Papers focused on the problem of use of waste or byproducts as a resource to produce valuable chemicals as required by the modern concept of the circular economy are welcome. Additionally, authors can submit works proposing green chemistry technologies for the design of materials suitable for further recycling and reuse. We would very much appreciate your contribution in this Special Issue of ChemEngineering in the field of green chemistry.

Dr. Maya Trofimova
Guest Editor

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Keywords

  • green chemistry
  • energy-saving technology
  • resource-saving technology
  • ecological compatibility
  • sustainability
  • sustainable solutions
  • circular economy
  • recycling

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Published Papers (1 paper)

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Research

16 pages, 4988 KiB  
Article
Thermodynamic Design of Organic Rankine Cycle (ORC) Based on Petroleum Coke Combustion
by Alon Davidy
ChemEngineering 2021, 5(3), 37; https://doi.org/10.3390/chemengineering5030037 - 16 Jul 2021
Cited by 2 | Viewed by 4039
Abstract
Thermodynamic analysis of Organic Rankine Cycle (ORC) was performed in this work. The Petroleum Coke burner provided the required heat flux for the Butane Boiler. The simulation of pet-coke combustion was carried out by using Fire Dynamics Simulator software (FDS) version 5.0. Validation [...] Read more.
Thermodynamic analysis of Organic Rankine Cycle (ORC) was performed in this work. The Petroleum Coke burner provided the required heat flux for the Butane Boiler. The simulation of pet-coke combustion was carried out by using Fire Dynamics Simulator software (FDS) version 5.0. Validation of the FDS calculation results was carried out by comparing the temperature of the gaseous mixture and CO2 mole fractions to the literature. It was discovered that they are similar to those reported in the literature. An Artificial Intelligence (AI) time forecasting analysis was performed on this work. The AI algorithm was applied to the temperature and soot sensor readings. Two Python libraries were applied in order to forecast the time behaviour of the thermocouple readings: Statistical model—ARIMA (Auto-Regressive Integrated Moving Average) and KERAS—deep learning library. ARIMA is a class of model that captures a suite of different standard temporal structures in time series data. Keras is a python library applied for deep learning and runs on top of Tensor-Flow. It has been developed in order to perform deep learning models as fast and easily as possible for research and development. The model accuracy and model loss plot shows comparable performance (train and test). Butane has been employed as a working fluid in the ORC. Butane is considered one of the best pure fluids in terms of exergy efficiency. It has low specific radiative forcing (RF) compared to Ethane and Propane. Moreover, it has zero ozone depletion potential and low Global Warming Potential. It is considered flammable, highly stable and non-corrosive. The thermodynamic properties of Butane needed to evaluate the heat rate and the power were calculated by applying the ASIMPTOTE online thermodynamic calculator. It was shown that the calculated net power of the ORC cycle is similar to the net power reported in the literature (relative error of 4.8%). The proposed ORC energetic system obeys the first and second laws of thermodynamics. The thermal efficiency of the cycle is 20.4%. Full article
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