Selection of Organisms for Systems Biology Study of Microbial Electricity Generation: A Review

2015 ◽  
pp. 43-84
Keyword(s):  
Systems Biology ◽  
Electricity Generation ◽  
Selection Of

In vitro production of Helicoverpa baculovirus biopesticides—Automated selection of insect cell clones for manufacturing and systems biology studies

2011 ◽  
Vol 175 (2) ◽  
pp. 197-205 ◽  
Author(s):  
Quan Nguyen ◽  
Ying Mei Qi ◽  
Yang Wu ◽  
Leslie C.L. Chan ◽  
Lars K. Nielsen ◽  
...  
Keyword(s):  
Systems Biology ◽  
Insect Cell ◽  
In Vitro Production ◽  
Cell Clones ◽  
Vitro Production ◽  
Selection Of

scholarly journals Analysis and implementation of electricity generation of 1000VA using wind turbine

2020 ◽  
Vol 39 (2) ◽  
pp. 472-483
Author(s):  
A.A. Okandeji ◽  
M.B. Olajide ◽  
Z.O. Jagun ◽  
D.S. Kuponiyi ◽  
T.A. Aderanti
Keyword(s):  
Magnetic Field ◽  
Wind Turbine ◽  
Pulse Width ◽  
Electricity Generation ◽  
Output Voltage ◽  
Design Work ◽  
Discharge Characteristics ◽  
Dc Voltage ◽  
Pulse Width Modulated ◽  
Selection Of

The project involved the design and construction of a three-blade wind turbine, selection of generator by consideration of the available wind speed and the maximum generated voltage per revolution, and assembly of the pulse width modulated inverter with microontroller based status display and low battery shutdown system. On completion of the work, tests were conducted and the result shows that the design work was very good, the output of the generator was good enough to charge the batteries and the inverter performed an excellent task of converting the direct current (DC) voltage available in the battery to alternating current (AC) at 230V 50Hz 20”. Furthermore, results from the discharge characteristics of the battery shows that as the battery is being used up, the output voltage remains constant. Keywords: wind, blade, turbine, magnetic field, battery, oscillator, inverter, controller

scholarly journals Support for multicriteria group decision with voting procedures: Selection of electricity generation technologies

2021 ◽  
pp. 100060
Author(s):  
Adriana Cavalcante Marques ◽  
Lucas Cavalcante Machado ◽  
Lucas Miguel Alencar de Morais Correia ◽  
Maria Júlia Leal Vieira ◽  
Maria Luíza da Silva ◽  
...  
Keyword(s):  
Electricity Generation ◽  
Group Decision ◽  
Voting Procedures ◽  
Selection Of

Life Cycle Water Use for Electricity Generation: Implications of the Distribution of Collected Estimates

2013 ◽  
Author(s):  
James R. Meldrum ◽  
Jordan E. Macknick ◽  
Garvin A. Heath ◽  
Syndi L. Nettles-Anderson
Keyword(s):  
Life Cycle ◽  
Power Plant ◽  
Electricity Generation ◽  
The United States ◽  
Electricity Sector ◽  
Water Requirements ◽  
Plant Operations ◽  
Component Manufacturing ◽  
Selection Of ◽  
Freshwater Consumption

Water requirements throughout the electricity generation life cycle have important implications for the electricity sector. Thermoelectric power plant operations are estimated as responsible for around 36% [1] to 41% [2] of total freshwater withdrawals in the United States and 3% of total freshwater consumption [1,3]. However, the life cycle of electricity generation consists of many stages besides power plant operation, including component manufacturing, fuel acquisition, processing, and transport, and power plant decommissioning. The water requirements associated with choices along this life cycle, such as the selection of fuel type or cooling technology, are not well understood.

scholarly journals A qualitative multi-attribute model for the selection of the private hydropower plant investments in Turkey: By foundation of the search results clustering engine (Carrot2), hydropower plant clustering, DEXi and DEXiTree

2016 ◽  
Vol 9 (1) ◽  
pp. 152
Author(s):  
Burak Omer Saracoglu
Keyword(s):  
Electricity Generation ◽  
Clustering Algorithm ◽  
Main Property ◽  
Electricity Demand ◽  
Hydropower Plant ◽  
Data Set ◽  
Search Results ◽  
Private Investors ◽  
Selection Of ◽  
Search Results Clustering

Purpose: The electricity demand in Turkey has been increasing for a while. Hydropower is one of the major electricity generation types to compensate this electricity demand in Turkey. Private investors (domestic and foreign) in the hydropower electricity generation sector have been looking for the most appropriate and satisfactory new private hydropower investment (PHPI) options and opportunities in Turkey. This study aims to present a qualitative multi-attribute decision making (MADM) model, that is easy, straightforward, and fast for the selection of the most satisfactory reasonable PHPI options during the very early investment stages (data and information poorness on projects).Design/methodology/approach: The data and information of the PHPI options was gathered from the official records on the official websites. A wide and deep literature review was conducted for the MADM models and for the hydropower industry. The attributes of the model were identified, selected, clustered and evaluated by the expert decision maker (EDM) opinion and by help of an open source search results clustering engine (Carrot2) (helpful for also comprehension). The PHPI options were clustered according to their installed capacities main property to analyze the options in the most appropriate, decidable, informative, understandable and meaningful way. A simple clustering algorithm for the PHPI options was executed in the current study. A template model for the selection of the most satisfactory PHPI options was built in the DEXi (Decision EXpert for Education) and the DEXiTree software.Findings: The basic attributes for the selection of the PHPI options were presented and afterwards the aggregate attributes were defined by the bottom-up structuring for the early investment stages. The attributes were also analyzed by help of Carrot2. The most satisfactory PHPI options in Turkey in the big options data set were selected for each PHPI options cluster by the EDM evaluations in the DEXi.Originality/value: The recommended DEXi PHPI selection model by the search results clustering engine within a country wise case offered the possibility of easy, meaningful and satisfying continental or worldwide applications for the private investors and the international financial institutions such as the African Development Bank, or the World Bank was the main contribution.

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