화학공학소재연구정보센터
검색결과 : 163건
No. Article
71 Degradation pattern prediction of a polymer electrolyte membrane fuel cell stack with series reliability structure via durability data of single cells
Bae SJ, Kim SJ, Lee JH, Song I, Kim NI, Seo Y, Kim KB, Lee N, Park JY
Applied Energy, 131, 48, 2014
72 Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data
Munkhammar J, Ryden J, Widen J
Applied Energy, 135, 382, 2014
73 Managing the cultivation and processing of microalgae to prolong storage in water-in-oil emulsions
Fernandez L, Cheng YS, Scher H, VanderGheynst JS
Applied Microbiology and Biotechnology, 98(12), 5427, 2014
74 Evaluation of wind power production prospective and Weibull parameter estimation methods for Babaurband, Sindh Pakistan
Khahro SF, Tabbassum K, Soomro AM, Dong L, Liao XZ
Energy Conversion and Management, 78, 956, 2014
75 An appraisal of wind speed distribution prediction by soft computing methodologies: A comparative study
Petkovic D, Shamshirband S, Anuar NB, Saboohi H, Wahab AWA, Protic M, Zalnezhad E, Mirhashemi SMA
Energy Conversion and Management, 84, 133, 2014
76 An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil
de Andrade CF, Neto HFM, Rocha PAC, da Silva MEV
Energy Conversion and Management, 86, 801, 2014
77 Measurement of microbial adhesive forces with a parallel plate flow chamber
Yoshihara A, Narahara H, Kuriyama Y, Toyoda S, Tokumoto H, Konishi Y, Nomura T
Journal of Colloid and Interface Science, 432, 77, 2014
78 Briquetting of UBC by a double roll press Part II: Improvement of the Johanson model
Shigehisa T, Nakagawa T, Yamamoto S
Powder Technology, 264, 614, 2014
79 Extrapolating wind speed time series vs. Weibull distribution to assess wind resource to the turbine hub height: A case study on coastal location in Southern Italy
Gualtieri G, Secci S
Renewable Energy, 62, 164, 2014
80 Comparison between the bivariate Weibull probability approach and linear regression for assessment of the long-term wind energy resource using MCP
Weekes SM, Tomlin AS
Renewable Energy, 68, 529, 2014