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An Environmental and Societal Analysis of the US Electrical Energy Industry Based on the Water–Energy Nexus

Authors :
Jiquan Chen
Susie Wu
Xiaoguang Ma
Ilke Celik
Megan Belongeay
Parikith Sinha
Sandra Marquette-Pyatt
Gabriela Shirkey
Hassan Tavakol
Richard Corkish
Rodney Anthony Stewart
Annick Anctil
Source :
Energies; Volume 14; Issue 9; Pages: 2633, Energies, Vol 14, Iss 2633, p 2633 (2021)
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

To meet rising energy demands, power plant operations will expand, influencing the interactions between the water–energy nexus and society. However, a major challenge is integration of social dimensions within electricity generation. To address this, we generate a baseline dataset using US public data (2014–2019) from the Energy Information Administration and US Bureau of Labor Statistics. We identify the rate of energy consumed, CO2, SO2 and NOx emissions generated, and water used per MWh net electricity as well as employee wellbeing per unit MW capacity during electricity generation. Rates of energy consumption (MMBtu/MWh) decreased 4.9%, but water consumption and withdrawal (m3/MWh) both increased 0.93% and 0.31%, respectively. Emissions of CO2, SO2 and NOx decreased 22.64%, 75% and 25% MT/MWh, respectively. Thermoelectric cooling withdrawal and consumption is led by natural gas (50.07%, 38.31%), coal (29.61%, 25.07%), and nuclear energies (13.55%, 18.99%). Electric power generation contributes 0.06 injuries–illnesses/TWh and 0.001 fatalities/TWh, of which fossil fuels contributed 70% and 15%, respectively. Fossil fuels led in average annual employment (0.02 employees/MW) with low cost salaries (USD 0.09/MW) likely due to high collective capacity, which is declining. Estimated rates in this study and framework will aid power industry transition and operational decision makers.

Details

Language :
English
ISSN :
19961073
Database :
OpenAIRE
Journal :
Energies; Volume 14; Issue 9; Pages: 2633
Accession number :
edsair.doi.dedup.....2b071ebcb1009b4ed416719e76a68632
Full Text :
https://doi.org/10.3390/en14092633