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Open AccessFeature PaperArticle

A Metamodeling Framework for Quantifying Health Damages of Power Grid Expansion Plans

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Department of Supply Chain Management, Rutgers Business School, Newark, NJ 07102, USA
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Department of Industrial & Systems Engineering, Rutgers University, Piscataway, NJ 07102, USA
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Department of Industrial Engineering, Tsinghua University, 30 Shuangqing Rd, Haidian District, Beijing 10084, China
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Center for Energy, Economic & Environmental Policy, Rutgers University, New Brunswick, NJ 07102, USA
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Department of Chemistry, University of California-Irvine, Irvine, CA 92697, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(10), 1857; https://doi.org/10.3390/ijerph16101857
Received: 2 April 2019 / Revised: 19 May 2019 / Accepted: 21 May 2019 / Published: 26 May 2019
(This article belongs to the Special Issue Air Quality and Health Predictions)
In this paper, we present an analytical framework to establish a closed-form relationship between electricity generation expansion planning decisions and the resulting negative health externalities. Typical electricity generation expansion planning models determine the optimal technology–capacity–investment strategy that minimizes total investment costs as well as fixed and variable operation and maintenance costs. However, the relationship between these long-term planning decisions and the associated health externalities is highly stochastic and nonlinear, and it is computationally expensive to evaluate. Thus, we developed a closed-form metamodel by executing computer-based experiments of a generation expansion planning model, and we analyzed the resulting model outputs in a United States Environmental Protection Agency (EPA) screening tool that approximates the associated human health externalities. Procedural guidance to verify the accuracy and to select key metamodel parameters to enhance its prediction capability is presented. Specifically, the metamodel presented in this paper can predict the resulting health damages of long-term power grid expansion decisions, thus, enabling researchers and policy makers to quickly assess the health implications of power grid expansion decisions with a high degree of certainty. View Full-Text
Keywords: generation expansion planning; health damages; metamodeling; emissions; simulation; operations research generation expansion planning; health damages; metamodeling; emissions; simulation; operations research
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Rodgers, M.D.; Coit, D.W.; Felder, F.A.; Carlton, A.G. A Metamodeling Framework for Quantifying Health Damages of Power Grid Expansion Plans. Int. J. Environ. Res. Public Health 2019, 16, 1857.

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