Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Khwaja M. Rafi"'
Publikováno v:
Advances in Computing Communications and Informatics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2c3770c212b421f6770e5f42c0d612
https://doi.org/10.2174/9781681088624121010005
https://doi.org/10.2174/9781681088624121010005
Publikováno v:
International Journal of Environment and Waste Management. 24:354-377
A Mamdani fuzzy inference system has been proposed here to work as a decision support model for evaluating the appropriateness of the 'waste to energy' anaerobic digester feedstock. Methane yield depends upon the nature of feedstock and the pH enviro
Publikováno v:
Energy Conversion and Management. 150:651-668
This article presents a performance study of using different working fluids (gases) to power on Concentrated Solar Gas Engine (CSGE-Stirling and/or Brayton). Different working gases such as Monatomic (five types), Diatomic (three types) and Polyatomi
Publikováno v:
2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI).
Fuzzy Inference System was designed to select the combination of feedstock that would provide over 55% methane yield in an anaerobic biogas digester at the same time maintaining neutral pH in it. This area was left untouched by fuzzy system experts i
Publikováno v:
Global Sci-Tech. 8:109
Publikováno v:
GHTC
World is talking about the energy. Energy is power, power is economy and economy is the strength of a country. To develop the economy, two industrial revolutions occurred in 18th and 19th centuries. First revolutions exploited the natural coal resour