The Experts below are selected from a list of 186 Experts worldwide ranked by ideXlab platform
Shannon L.d. Smith - One of the best experts on this subject based on the ideXlab platform.
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the indonesia malaysia singapore growth triangle a political and Economic Equation
Australian Journal of International Affairs, 1997Co-Authors: Shannon L.d. SmithAbstract:(1997). The Indonesia‐Malaysia‐Singapore growth triangle: A political and Economic Equation. Australian Journal of International Affairs: Vol. 51, No. 3, pp. 369-382.
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The Indonesia‐Malaysia‐Singapore growth triangle: A political and Economic Equation
Australian Journal of International Affairs, 1997Co-Authors: Shannon L.d. SmithAbstract:(1997). The Indonesia‐Malaysia‐Singapore growth triangle: A political and Economic Equation. Australian Journal of International Affairs: Vol. 51, No. 3, pp. 369-382.
Kaveh Rajab Khalilpour - One of the best experts on this subject based on the ideXlab platform.
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generic techno Economic optimization methodology for concurrent design and operation of solvent based pcc processes
International Journal of Greenhouse Gas Control, 2020Co-Authors: Kaveh Rajab Khalilpour, Ali ZafaranlooAbstract:Abstract A techno-Economic Equation-based methodology is developed for optimal design and operation of integrated solvent-based post-combustion carbon capture (PCC) processes using a rate-based model for the interaction of gas and liquid. The algorithm considers a wide range of techno-Economic design and operation parameters such as number of absorber/desorber columns, height of columns, diameter of columns, operating conditions (P, T) of columns, pressure drop, packing type, percentage of CO2 mitigated, captured CO2 purity, amount of solvent regeneration, flooding velocities of columns, and number of compression stages. A case study is conducted to showcase two common objective-functions i) minimizing total capital investment, and ii) minimizing levelized capture costs, both for a 300 MW coal-power plant in Australia. The former objective leads to the lowest possible total capital cost of $312.4 M corresponding to levelized carbon capture cost of 58.1 $/tonne−CO2. For objective (ii), however, the lowest levelized carbon capture cost is found to be around ten percent lower (52.8 $/tonne−CO2), though it leads to a higher total capital cost ($325.2 M). The results indicate that the design and operation variables are markedly interactive, and no unique optimal design exists which can deliver all desired outcomes at once. Therefore, decisions on the selection of right variables become dependent on the decision-makers techno-Economic objectives.
Tunku Abdul Aziz - One of the best experts on this subject based on the ideXlab platform.
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Malaysia Incorporated: Ethics on Trial
Australian Journal of Public Administration, 1999Co-Authors: Tunku Abdul AzizAbstract:It is logical to begin by considering briefly the influence of Malaysia’s post-1957 social, Economic and political factors in the evolution and development of the close and intimate relationships between government and business that have become the hallmark of the Malaysian Economic Equation. In 1957 when Malaya 1 achieved independence from Britain, it inherited a form of government based on the Westminster model which, with a few local adaptations, remains very much in place. Of equal significance is the inheritance of an economy based on the traditional British colonial mercantile interests centred on the export of rubber and tin. The nation boasted the most efficient plantation economy in the world, so efficient, in fact, that Malayan foreign exchange earnings helped Britain enormously to repay much of its war debt to the USA. It was not for nothing that Malaya was known as Britain’s Dollar Arsenal. Economic prosperity, by the standards of Asia, was not new to the country. It was, however, commodity-based and opportunities for corruption were nothing like those that presented themselves in the 1970s.
Ali Zafaranloo - One of the best experts on this subject based on the ideXlab platform.
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generic techno Economic optimization methodology for concurrent design and operation of solvent based pcc processes
International Journal of Greenhouse Gas Control, 2020Co-Authors: Kaveh Rajab Khalilpour, Ali ZafaranlooAbstract:Abstract A techno-Economic Equation-based methodology is developed for optimal design and operation of integrated solvent-based post-combustion carbon capture (PCC) processes using a rate-based model for the interaction of gas and liquid. The algorithm considers a wide range of techno-Economic design and operation parameters such as number of absorber/desorber columns, height of columns, diameter of columns, operating conditions (P, T) of columns, pressure drop, packing type, percentage of CO2 mitigated, captured CO2 purity, amount of solvent regeneration, flooding velocities of columns, and number of compression stages. A case study is conducted to showcase two common objective-functions i) minimizing total capital investment, and ii) minimizing levelized capture costs, both for a 300 MW coal-power plant in Australia. The former objective leads to the lowest possible total capital cost of $312.4 M corresponding to levelized carbon capture cost of 58.1 $/tonne−CO2. For objective (ii), however, the lowest levelized carbon capture cost is found to be around ten percent lower (52.8 $/tonne−CO2), though it leads to a higher total capital cost ($325.2 M). The results indicate that the design and operation variables are markedly interactive, and no unique optimal design exists which can deliver all desired outcomes at once. Therefore, decisions on the selection of right variables become dependent on the decision-makers techno-Economic objectives.
Alan Silberberg - One of the best experts on this subject based on the ideXlab platform.
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Economic demand and essential value
Psychological Review, 2008Co-Authors: Steven R. Hursh, Alan SilberbergAbstract:An enduring goal of learning theory has been to define a measure capable of indexing the strength or value of a reinforcer—a pursuit that may be called “hedonic scaling” (Miller, 1976). Evidence of this pursuit can be seen across the discipline (Hull, 1943; Pavlov, 1927; Skinner, 1938). Its stature may explain why it became the subject of Skinner’s first research effort. Despite this focus, the goal of hedonic scaling has yet to be realized. The purpose of the present article is to add our efforts to those of others. To anticipate some of our claims, we have adopted the language, methods, measures, and analyses of microEconomics—a discipline honed by studying human consumers in their natural setting—which may bring us closer to creating a hedonic scale than efforts heretofore. Realizing this goal requires some changes in how we do an experimental analysis of behavior. However, once this is done, an Economic Equation can be offered that seems capable of yielding a credible ordering of the values of different reinforcers and predicting their impact on behavior. We begin with a brief history of the pursuit of an index of strength in the experimental analysis of behavior.
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Economic demand and essential value
Psychological Review, 2008Co-Authors: Steven R. Hursh, Alan SilberbergAbstract:An enduring goal of learning theory has been to define a measure capable of indexing the strength or value of a reinforcer—a pursuit that may be called “hedonic scaling” (Miller, 1976). Evidence of this pursuit can be seen across the discipline (Hull, 1943; Pavlov, 1927; Skinner, 1938). Its stature may explain why it became the subject of Skinner’s first research effort. Despite this focus, the goal of hedonic scaling has yet to be realized. The purpose of the present article is to add our efforts to those of others. To anticipate some of our claims, we have adopted the language, methods, measures, and analyses of microEconomics—a discipline honed by studying human consumers in their natural setting—which may bring us closer to creating a hedonic scale than efforts heretofore. Realizing this goal requires some changes in how we do an experimental analysis of behavior. However, once this is done, an Economic Equation can be offered that seems capable of yielding a credible ordering of the values of different reinforcers and predicting their impact on behavior. We begin with a brief history of the pursuit of an index of strength in the experimental analysis of behavior.
