
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
By-process disaggregation of flow and electricity load of U.S. drinking water treatment plants
The attached three data files are useful for future researchers who are interested in investigating the composition of electricity load and its underlying demand response potential at U.S. drinking water treatment plants. Each file contains 12 separate spreadsheets that correspond to the 12 months in 2018. Each spreadsheet is organized in the form of a 'process×state' matrix - each row is a key unit process identified in the manuscript entitled 'Assessing the demand response capacity of U.S. drinking water treatment plants' and each column is a state in the U.S. - Each entry (value) in 'US DWTP flows (MGD) 2018' describes the average flow (i.e., daily volume) of drinking water treated by a unit process in a state in a month in 2018. The unit is million gallons per day (MGD). - Each entry (value) in 'US DWTP flows (m3D) 2018' describes the average flow (i.e., daily volume) of drinking water treated by a unit process in a state in a month in 2018. The unit is cubic meter per day (m3/day). - Each entry (value) in 'US DWTP load (MW) 2018' describes the average load of a unit process in a state in a month in 2018. The unit is megawatts (MW).
Water Treatment, Spatiotemporal Database, Interdisciplinary sciences, Energy Consumption
Water Treatment, Spatiotemporal Database, Interdisciplinary sciences, Energy Consumption
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
