Cleaner production approaches and innovative industrial processes are examined in this
assessment, which focuses on their role in promoting sustainable growth. The study …

The aim of this investigation was to delve into the impact of abrasive water jet machining
(AWJM) process variables on the surface roughness (R a) and kerf angle (K a) of hybrid fiber …

Coal-fired boilers considering deep peak shaving operate under wide and variable load
requirements with complex and varying working conditions, making the prediction and …

This review explores machine learning approaches for predicting ignition delay in
combustion processes. Ignition delay is a vital parameter in optimizing the engine design …

While coal–biomass cocombustion has gained considerable attention as a climate-sensitive
power generation strategy, the detrimental impact of inorganic species present in low-rank …

A novel optimization framework for boiler combustion and selective catalytic reduction
systems (BCSCRSs) that accounts for flue gas temperature deviation and integrates prior …

Artificial intelligence (AI) algorithms have been applied to air pollution prediction modeling,
but assessment of their trustworthiness is lacking. This study aims to examine whether AI …

This contribution represents a practical application of predictive thermal modelling of an
existing cogeneration plant. The analysed cogeneration plant consists of a gas turbine …

In this experimental study, the usability of raw perlite from the Manisa (Yuntdagi) region as a
pozzolanic material in the production of Portland composite cement was investigated. In the …

Abstracts The environmental effect of operating activities in the manufacturing industry is
crucial to the sustainable development of the economy and society. Since we have entered …