Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use.
Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy.
Readership
This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.
Topics
Topics include, but are not limited to the following areas:
- General Energy
- Fossil Fuels
- Energy Storage
- Nuclear Energy
- Renewable Energy
- Power Engineering
Anaerobic digestion of abundant feedstock from biomaterials is an innovative fossil fuel alternative approach for the synthesis of green fuel (biogas). Rotatable central composite design and machine learning via Python coding were successfully used to design, optimize, and predict the rate of biogas production from stew-rice and eggs digestate with Udara seeds in an anaerobic unit. The results showed that the Python-based machine learning algorithm approach has the potential to predict biogas output better than the rotatable central composite design. Thus, the generated biogas via an anaerobic unit can be transmitted into large-scale commercial applications for the betterment of mankind. 
.ashx?h=300&w=290&hash=565BE14D10ECA322C8688A4BD28A1C2C)
