Community-based virtual power plants' technology and circular economy models in the energy sector: a techno-economy study
Virtual power plants possess the capability to effectively manage the inherent conflict
between dispersed electricity generation and user demand, hence optimising market …
between dispersed electricity generation and user demand, hence optimising market …
A review on pollution treatment in cement industrial areas: from prevention techniques to python-based monitoring and controlling models
X Zhu, J Yang, Q Huang, T Liu - Processes, 2022 - mdpi.com
Anthropogenic climate change, global warming, environmental pollution, and fossil fuel
depletion have been identified as critical current scenarios and future challenges. Cement …
depletion have been identified as critical current scenarios and future challenges. Cement …
Artificial intelligence (AI)‐driven strategic business model innovations in small‐and medium‐sized enterprises. Insights on technological and strategic enablers for …
This study investigates the enhancement of technological and strategic enablers for carbon‐
neutral businesses (CNB) through artificial intelligence (AI)‐driven business model …
neutral businesses (CNB) through artificial intelligence (AI)‐driven business model …
Prediction and optimization of exergetic efficiency of reactive units of a petroleum refinery under uncertainty through artificial neural network-based surrogate modeling
Process uncertainties have been a big challenge to the stable operation and control of
process industries. The current study is based on the use of an artificial intelligence model …
process industries. The current study is based on the use of an artificial intelligence model …
Artificial intelligence based prediction of optimum operating conditions of a plate and fin heat exchanger under uncertainty: A gray-box approach
This study is based on gray-box modeling for the prediction of optimum mass flow rates of
inlet streams of a Plate and Fin Heat Exchanger under uncertainty. A first principle model of …
inlet streams of a Plate and Fin Heat Exchanger under uncertainty. A first principle model of …
Chasing green: The synergistic effect of industrial intelligence on pollution control and carbon reduction and its mechanisms
Y Shen, Z Yang - Sustainability, 2023 - mdpi.com
The coordinated promotion of pollution control and carbon reduction is intended to build a
more beautiful China. Intelligent industrial technology plays an important role in the fight …
more beautiful China. Intelligent industrial technology plays an important role in the fight …
Impacts of cement industry air pollutants on the environment and satellite data applications for air quality monitoring and management
C Venkata Sudhakar, U Reddy - Environ Monit Assess, 2023 - Springer
The cement industry plays critical role in any country's development and economic growth.
Cement is extensively used in construction sector and infrastructural projects. Abundant raw …
Cement is extensively used in construction sector and infrastructural projects. Abundant raw …
Techno-Economic Analysis of State-of-the-Art Carbon Capture Technologies and Their Applications: Scient Metric Review
Carbon dioxide (CO2) emissions are a serious hazard to human life and the ecosystem. This
is the reason that many measures have been put in place by the International Energy …
is the reason that many measures have been put in place by the International Energy …
A data-driven multi-objective optimization approach for enhanced methanol yield and exergy loss minimization in direct hydrogenation of CO2
The stability and control of process industries have historically faced obstacles due to
inherent uncertainties in their operations. This work focuses on leveraging machine learning …
inherent uncertainties in their operations. This work focuses on leveraging machine learning …
Prediction and optimization of emissions in cement manufacturing plant under uncertainty by using artificial intelligence-based surrogate modeling
Uncertainties in the process industries are the biggest challenge for smooth operation. This
study is based on the use of artificial intelligence based surrogate modeling for predicting …
study is based on the use of artificial intelligence based surrogate modeling for predicting …