The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Ogheneruona E. Diemuodeke - One of the best experts on this subject based on the ideXlab platform.
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Optimal thermal power Plant Selection for a tropical region using multi-criteria decision analysis
Applied Thermal Engineering, 2020Co-Authors: Ifeanyi Henry Njoku, Chika Oko, Joseph C. Ofodu, Ogheneruona E. DiemuodekeAbstract:Abstract This research presents thermo-economic and environmental impact analyses of nineteen thermal power Plant configurations for electricity generation. From the results of the analyses, appropriate Plants’ parameters were carefully chosen and used in the multi-criteria Selection of the optimal Plant configuration. The thermodynamic performance criteria include net power output, specific fuel consumption, inlet air temperature, and efficiencies, among others. Environmental considerations include the emission rates of CO, NOx, CO2, stack exit temperature factors and sustainability indices of the various power Plants. Economic assessment includes life-cycle cost (LCC), annual sales return (ASR), levelized cost of electricity (LCOE), breakeven point (BEP), and net present value (NPV). The optimal Plant Selection was conducted using the TOPSIS method and the novel modified-TOPSIS developed in this study. Results showed that the integrated gas-, steam- and organic Rankine cycle power Plant with absorption refrigerator for compressor inlet air cooling and chilled water for cooling the steam and ORC condensers, is the best Plant option with a relative closeness of 0.888 (closest to 1). Parametric investigations showed that NOx emission increased while CO emission decreased with increased combustion flame temperature. Annual capital, operating and maintenance costs of the Plant with wet cooling tower increased with ambient wet-bulb temperature.
Katsuei Yonezawa - One of the best experts on this subject based on the ideXlab platform.
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Cost Efficiency of Spatial Error Control in Single Plant Selection.
Breeding Science, 2002Co-Authors: Kentaro Yano, Ryo Ohsawa, Katsuei YonezawaAbstract:A criterion for evaluating the practical advantage of spatial error control in single Plant Selection for lowly heritable traits, by either field preparation for environmental uniformity or statistical adjustment using spatial information from surrounding Plants, was defined based on the principle of achieving the greatest success with the same long-term resource investment. The criterion was determined in the context of mass Selection under practically possible values of the variables concerned, leading to the prediction that spatial error control will be rewarding only in some Plants where the cost for error control is low compared to that for care management to raise the test Plants. Error control will be of little use in other Plants; improving the precision of Selection when the population size is reduced is not rewarding. In cross-fertilizing cereal crops, error control for yield is predicted to be useful when the Selection is performed in only a few cycles (generations), but the population size is important when the Selection is performed in more cycles to best explore the genetic potential of the target population. In self-fertilizing cereal crops, spatial error control will in no case be cost-efficient. In both cross- and self-fertilizing crops, the population size becomes more important with a higher magnitude of the desired genetic advance.
Ifeanyi Henry Njoku - One of the best experts on this subject based on the ideXlab platform.
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Optimal thermal power Plant Selection for a tropical region using multi-criteria decision analysis
Applied Thermal Engineering, 2020Co-Authors: Ifeanyi Henry Njoku, Chika Oko, Joseph C. Ofodu, Ogheneruona E. DiemuodekeAbstract:Abstract This research presents thermo-economic and environmental impact analyses of nineteen thermal power Plant configurations for electricity generation. From the results of the analyses, appropriate Plants’ parameters were carefully chosen and used in the multi-criteria Selection of the optimal Plant configuration. The thermodynamic performance criteria include net power output, specific fuel consumption, inlet air temperature, and efficiencies, among others. Environmental considerations include the emission rates of CO, NOx, CO2, stack exit temperature factors and sustainability indices of the various power Plants. Economic assessment includes life-cycle cost (LCC), annual sales return (ASR), levelized cost of electricity (LCOE), breakeven point (BEP), and net present value (NPV). The optimal Plant Selection was conducted using the TOPSIS method and the novel modified-TOPSIS developed in this study. Results showed that the integrated gas-, steam- and organic Rankine cycle power Plant with absorption refrigerator for compressor inlet air cooling and chilled water for cooling the steam and ORC condensers, is the best Plant option with a relative closeness of 0.888 (closest to 1). Parametric investigations showed that NOx emission increased while CO emission decreased with increased combustion flame temperature. Annual capital, operating and maintenance costs of the Plant with wet cooling tower increased with ambient wet-bulb temperature.
C Farrell - One of the best experts on this subject based on the ideXlab platform.
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Plant establishment on a green roof under extreme hot and dry conditions: The importance of leaf succulence in Plant Selection
Urban Forestry & Urban Greening, 2016Co-Authors: John P. Rayner, C Farrell, K. Raynor, Susan M. Murphy, Nicholas S.g. WilliamsAbstract:Abstract Plant Selection for extensive green roofs has largely been based on cool, temperate climate research. However, as green roof implementation in hotter and drier climates increases, there is a need to evaluate Plant performance under these climatic conditions. Succulents have been shown to be successful in hot and dry green roofs, although survival differs between species and the role of leaf succulence in survival has not been fully explored. For non-succulent Plants, habitats with conditions similar to green roofs (‘habitat templates’) have been used to select Plants, although few studies have discussed the performance of these Selections under green roof conditions. Therefore, we evaluated establishment of 32 Plant species on an unirrigated extensive (125 mm deep) green roof in Melbourne, Australia over a 42 week period (from winter through summer into autumn). Plants were selected on the basis of life-form, succulence, appropriate habitat templates and/or successful use on green roofs internationally. Climatic conditions during the experiment were often extreme, with evaporation regularly exceeding rainfall and a hot and dry summer (mean maximum air temperature 35 °C and 80.6 mm total rainfall), leading to roof temperatures of 65 °C. After 42 weeks, only succulent Plants remained alive and only three of the succulent species had 100% survival. Survival was positively related to the degree of leaf succulence (g H 2 O leaf area cm −1 ) making this a useful trait for Plant Selection for unirrigated green roofs in hot, dry climates. The failure of most species, despite being chosen from appropriate habitats, demonstrates the need to evaluate potential Plants on green roofs under extreme climatic conditions. Supplementary irrigation may be essential to sustain non-succulent species during extreme weather in hot and dry climates.
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2R: Plant Performance Research 2 HOT, HIGH, DRY AND GREEN? - RESEARCH SUPPORTING GREEN ROOF Plant Selection FOR ARID ENVIRONMENTS
2012Co-Authors: C FarrellAbstract:The Selection of Plants for use on extensive green roofs is dominated by experiences and research from cooler, temperate climates; little is reported from drier and more arid climate zones. However, it is in these climates that the potential benefits of green roofs may be greatest. This paper summarizes a five year research program on Plant Selection for green roofs in dry Mediterranean-type climates. A total of 56 Plant species have been evaluated, both on a green roof and in glasshouse drought experiments. The experimental green roof was used to screen 32 species, including Plants commonly Planted on green roofs internationally. The roof was a 125 mm deep unirrigated green roof and climatic conditions on the roof were often extreme, with surface temperatures up to 69 °C (156 °F) and very little rainfall. At the conclusion of the experiment only a few succulent Plants remained alive, with many Plants used successfully on cooler climate green roofs failing. To better understand how Plant traits, such as succulence, influence survival when water is limited 31 Plant species, including the surviving succulent species from the green roof, were evaluated in the glasshouse. These experiments identified key traits for predicting Plant survival and performance. Our five year research program has highlighted the importance of Plant trials in new and different climate zones and developed a successful template for extensive green roofs in dry Mediterranean climates. In these climates, Plant Selection should focus on species with low water use, high leaf succulence and the ability to resprout following desiccation to ensure survival.
Nicholas S.g. Williams - One of the best experts on this subject based on the ideXlab platform.
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Plant establishment on a green roof under extreme hot and dry conditions: The importance of leaf succulence in Plant Selection
Urban Forestry & Urban Greening, 2016Co-Authors: John P. Rayner, C Farrell, K. Raynor, Susan M. Murphy, Nicholas S.g. WilliamsAbstract:Abstract Plant Selection for extensive green roofs has largely been based on cool, temperate climate research. However, as green roof implementation in hotter and drier climates increases, there is a need to evaluate Plant performance under these climatic conditions. Succulents have been shown to be successful in hot and dry green roofs, although survival differs between species and the role of leaf succulence in survival has not been fully explored. For non-succulent Plants, habitats with conditions similar to green roofs (‘habitat templates’) have been used to select Plants, although few studies have discussed the performance of these Selections under green roof conditions. Therefore, we evaluated establishment of 32 Plant species on an unirrigated extensive (125 mm deep) green roof in Melbourne, Australia over a 42 week period (from winter through summer into autumn). Plants were selected on the basis of life-form, succulence, appropriate habitat templates and/or successful use on green roofs internationally. Climatic conditions during the experiment were often extreme, with evaporation regularly exceeding rainfall and a hot and dry summer (mean maximum air temperature 35 °C and 80.6 mm total rainfall), leading to roof temperatures of 65 °C. After 42 weeks, only succulent Plants remained alive and only three of the succulent species had 100% survival. Survival was positively related to the degree of leaf succulence (g H 2 O leaf area cm −1 ) making this a useful trait for Plant Selection for unirrigated green roofs in hot, dry climates. The failure of most species, despite being chosen from appropriate habitats, demonstrates the need to evaluate potential Plants on green roofs under extreme climatic conditions. Supplementary irrigation may be essential to sustain non-succulent species during extreme weather in hot and dry climates.
