Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking

<div>A linear free energy model is presented that predicts the second order rate constant for the abiotic reduction of nitroaromatic compounds (NACs). For this situation previously presented models use the one electron reduction potential of the NAC reaction. If such value is not available, it has been has been proposed that it could be computed directly or estimated from the electron affinity (EA). The model proposed herein uses the Gibbs free energy of the hydrogen atom transfer (HAT) as the parameter in the linear free energy model. Both models employ quantum chemical computations for the required thermodynamic parameters. The available and proposed models are compared using second order rate constants obtained from five investigations reported in the literature in which a variety of NACs were exposed to a variety of reductants. A comprehensive analysis utilizing all the NACs and reductants demonstrate that the computed hydrogen atom transfer model and the experimental one electron reduction potential model have similar root mean square errors and residual error probability distributions. In contrast, the model using the computed electron affinity has a more variable residual error distribution with a significant number of outliers. The results suggest that a linear free energy model utilizing computed hydrogen transfer reaction free energy produces a more reliable prediction of the NAC abiotic reduction second order rate constant than previously available methods. The advantages of the proposed hydrogen atom transfer model and its mechanistic implications are discussed as well.</div>

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Development Of A Modeling Framework For Refined Residential Occupancy Schedules In An Urban Energy Model

Proceedings of Building Simulation 2019: 16th Conference of IBPSA ◽

10.26868/25222708.2019.210553 ◽

2020 ◽

Author(s):

Diba Malekpour Koupaei ◽

Farzad Hashemi ◽

Vinciane Tabard-Fortecoëf ◽

Ulrike Passe

Keyword(s):

Energy Model ◽

Modeling Framework ◽

Urban Energy

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An Energy Model for the Commercial Building Sector in Hong Kong

SSRN Electronic Journal ◽

10.2139/ssrn.3034090 ◽

2017 ◽

Author(s):

Shengyuan Zhang

Keyword(s):

Hong Kong ◽

Energy Model ◽

Commercial Building ◽

Building Sector

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Injuries and Occupational Safety

10.1093/oso/9780190662677.003.0022 ◽

2017 ◽

Author(s):

Dawn N. Castillo ◽

Timothy J. Pizatella ◽

Nancy A. Stout

Keyword(s):

United States ◽

Ionizing Radiation ◽

Occupational Safety ◽

Occupational Injury ◽

Occupational Injuries ◽

Mechanical Energy ◽

The United States ◽

Hierarchical Approach ◽

Safety Hazards ◽

Injury Control

This chapter describes occupational injuries and their prevention. It describes in detail the causes of injuries and epidemiology of injuries. Occupational injuries are caused by acute exposure in the workplace to safety hazards, such as mechanical energy, electricity, chemicals, and ionizing radiation, or from the sudden lack of essential agents, such as oxygen or heat. This chapter describes the nature and the magnitude of occupational injuries in the United States. It provides data on risk of injuries in different occupations and industries. Finally, it discusses prevention of injuries, using a hierarchical approach to occupational injury control.

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