The Experts below are selected from a list of 562875 Experts worldwide ranked by ideXlab platform
Abigail A Sewell - One of the best experts on this subject based on the ideXlab platform.
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the racism race reification process a mesolevel political Economic Framework for understanding racial health disparities
The Sociology of Race and Ethnicity, 2016Co-Authors: Abigail A SewellAbstract:The author makes the argument that many racial disparities in health are rooted in political Economic processes that undergird racial residential segregation at the mesolevel—specifically, the neighborhood. The dual mortgage market is considered a key political Economic context whereby racially marginalized people are isolated into degenerative ecological environments. A multilevel root-cause conceptual Framework, the racism-race reification process (R3p), is proposed and preliminarily tested to delineate how institutional conditions shape the health of racially marginalized individuals through the reification of race. After reviewing and critiquing the conceptual and theoretical roots of R3p, the key components of the synergistic Framework are detailed and applied to clarify extant understandings of the upstream (i.e., macrolevel) factors informing racial health disparities. Using aggregated data from the 1994 Home Mortgage Disclosure Act and Neighborhood Change Database merged at the mesolevel (i.e., th...
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the racism race reification process a mesolevel political Economic Framework for understanding racial health disparities
The Sociology of Race and Ethnicity, 2016Co-Authors: Abigail A SewellAbstract:The author makes the argument that many racial disparities in health are rooted in political Economic processes that undergird racial residential segregation at the mesolevel—specifically, the neig...
Jose A Romagnoli - One of the best experts on this subject based on the ideXlab platform.
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a multi objective evolutionary optimization Framework for a natural gas liquids recovery unit
Computers & Chemical Engineering, 2021Co-Authors: Santiago D Salas, Lizbeth Contrerassalas, Pamela Rubioduenas, Jorge Chebeir, Jose A RomagnoliAbstract:Abstract A simulation-based multi-objective optimization scheme is proposed for determining the optimal operating conditions of a natural gas liquids (NGL) recovery unit. Two objective functions are considered, the annualized profitability of the unit and the concentration of methane in the NGL product stream. Two problem formulations are studied including a deterministic model and a stochastic model which incorporates market uncertainty. The techno-Economic Framework combines the process simulation package PRO/II and a Python environment, in which the simulation status is tracked through the optimization. An evolutionary optimization algorithm simultaneously optimizes eight decision variables for constructing a 2-D Pareto front. Results provide insightful guidance on determining the most adequate conditions of a gas subcooled process (GSP) unit and portray an operational back-off which aims to reduce the impact introduced by market uncertainties.
Philip Hanser - One of the best experts on this subject based on the ideXlab platform.
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Economic Framework for compensating distributed energy resources theory and practice
The Electricity Journal, 2018Co-Authors: Agustin J Ros, Romkaew Broehm, Philip HanserAbstract:Abstract We offer an Economic Framework for analyzing the compensation that DERs should receive for energy exported to the grid. This Economic Framework requires that the prices paid to DER owners be based upon the forward-looking, Economic costs that their utility avoids when it buys the energy from the customer. We explain why this results in efficient ‘build or buy’ and ‘purchase and install’ decisions of the utility and DER customer, respectively.
Mehdi Nikzad - One of the best experts on this subject based on the ideXlab platform.
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Complete active-reactive power resource scheduling of smart distribution system with high penetration of distributed energy resources
Journal of Modern Power Systems and Clean Energy, 2017Co-Authors: Abouzar Samimi, Mehdi NikzadAbstract:In traditional power systems, besides the conventional power plants that provide the necessary reactive power in transmission system, the shunt capacitors along with the tap changers of transformers are also employed in distribution networks. In future years, because of the high number of distributed resources integrated into the distribution networks, it will be essential to schedule complete active-reactive power at distribution level. In this research work, an Economic Framework based on the active-reactive power bids has been developed for complete active-reactive power dispatch scheduling of smart distribution networks. The Economical complete active-reactive power scheduling approach suggested in this study motivates distributed energy resources (DERs) to cooperate in both active power markets and the Volt/Var control scheme. To this end, using DER’s reactive power capability, a generic Framework of reactive power offers for DERs is extracted. A 22-bus distribution test system is implemented to verify the impressiveness of the suggested active-reactive power scheduling approach.
Santiago D Salas - One of the best experts on this subject based on the ideXlab platform.
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a multi objective evolutionary optimization Framework for a natural gas liquids recovery unit
Computers & Chemical Engineering, 2021Co-Authors: Santiago D Salas, Lizbeth Contrerassalas, Pamela Rubioduenas, Jorge Chebeir, Jose A RomagnoliAbstract:Abstract A simulation-based multi-objective optimization scheme is proposed for determining the optimal operating conditions of a natural gas liquids (NGL) recovery unit. Two objective functions are considered, the annualized profitability of the unit and the concentration of methane in the NGL product stream. Two problem formulations are studied including a deterministic model and a stochastic model which incorporates market uncertainty. The techno-Economic Framework combines the process simulation package PRO/II and a Python environment, in which the simulation status is tracked through the optimization. An evolutionary optimization algorithm simultaneously optimizes eight decision variables for constructing a 2-D Pareto front. Results provide insightful guidance on determining the most adequate conditions of a gas subcooled process (GSP) unit and portray an operational back-off which aims to reduce the impact introduced by market uncertainties.
