{"id":{"repo_id":"alabama","oai_identifier":"oai:ir.ua.edu:123456789/7027"},"canonical_url":"https://search.dev.ndltd.org/etd/alabama/oai:ir.ua.edu:123456789/7027","repository":{"repo_id":"alabama","name":"University of Alabama","base_url":"https://ir-api.ua.edu/oai/request"},"display":{"title":"General equation for predicting cooling tower approach temperatures at lower wetbulbs","abstract":"Cooling tower approach temperature is the difference in leaving water temperature and entering air wet-bulb temperature. Cooling tower manufacturers describe the design capacity with water volumetric flow, entering water temperature, leaving water temperature, and entering air wet-bulb temperature. Cooling tower performance can be measured by comparing the design criteria to live operation, but only at design conditions. It is necessary to describe cooling tower approach temperatures when tonnage, flow, and wet bulb temperatures are not at design conditions. Gradient descent regression analysis was performed on data including 8760 hours from seven cooling tower installations to produce a generalized description of approach temperature. Fault detection diagnostics can be performed on such expected approach temperatures against live data.","abstract_html":"Cooling tower approach temperature is the difference in leaving water temperature and entering air wet-bulb temperature. Cooling tower manufacturers describe the design capacity with water volumetric flow, entering water temperature, leaving water temperature, and entering air wet-bulb temperature. Cooling tower performance can be measured by comparing the design criteria to live operation, but only at design conditions. It is necessary to describe cooling tower approach temperatures when tonnage, flow, and wet bulb temperatures are not at design conditions. Gradient descent regression analysis was performed on data including 8760 hours from seven cooling tower installations to produce a generalized description of approach temperature. Fault detection diagnostics can be performed on such expected approach temperatures against live data.","abstract_has_math":false,"creators":["Cottrell, Benjamin Joseph"],"institution":"University of Alabama Libraries","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["O'Neill, Zheng","Chaganti, Narendra"],"advisors":["Woodbury, Keith A."],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020","date_published":"2020","updated_at":"2026-07-27T18:44:10Z","subjects":["Mechanical engineering"],"languages":["en_US","English"],"rights":["All rights reserved by the author unless otherwise indicated."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["u0015_0000001_0003628","Cottrell_alatus_0004M_14095"],"render_values":[{"text":"u0015_0000001_0003628","href":null,"code":true},{"text":"Cottrell_alatus_0004M_14095","href":null,"code":true}]}]},"links":{"outbound_url":"http://ir.ua.edu/handle/123456789/7027","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["O'Neill, Zheng","Chaganti, Narendra"]},{"key":"dc:contributor.advisor","label":"Advisor","values":["Woodbury, Keith A."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["University of Alabama Tuscaloosa"]},{"key":"dc:creator","label":"Author","values":["Cottrell, Benjamin Joseph"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2020-09-30T17:25:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-09-30T17:25:00Z"]},{"key":"dc:date.issued","label":"Date","values":["2020"]},{"key":"dc:publisher","label":"Institution","values":["University of Alabama Libraries"]},{"key":"dc:type","label":"Dc Type","values":["thesis","text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Mechanical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["All rights reserved by the author unless otherwise indicated."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["u0015_0000001_0003628","Cottrell_alatus_0004M_14095"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://ir.ua.edu/handle/123456789/7027"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Electronic Thesis or Dissertation"]},{"key":"dc:description.abstract","label":"Abstract","values":["Cooling tower approach temperature is the difference in leaving water temperature and entering air wet-bulb temperature. Cooling tower manufacturers describe the design capacity with water volumetric flow, entering water temperature, leaving water temperature, and entering air wet-bulb temperature. Cooling tower performance can be measured by comparing the design criteria to live operation, but only at design conditions. It is necessary to describe cooling tower approach temperatures when tonnage, flow, and wet bulb temperatures are not at design conditions. Gradient descent regression analysis was performed on data including 8760 hours from seven cooling tower installations to produce a generalized description of approach temperature. Fault detection diagnostics can be performed on such expected approach temperatures against live data."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["electronic"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["General equation for predicting cooling tower approach temperatures at lower wetbulbs"]}]}],"canonical_facts":{"dc:contributor":["O'Neill, Zheng","Chaganti, Narendra"],"dc:contributor.advisor":["Woodbury, Keith A."],"dc:contributor.other":["University of Alabama Tuscaloosa"],"dc:creator":["Cottrell, Benjamin Joseph"],"dc:date.accessioned":["2020-09-30T17:25:00Z"],"dc:date.available":["2020-09-30T17:25:00Z"],"dc:date.issued":["2020"],"dc:description":["Electronic Thesis or Dissertation"],"dc:description.abstract":["Cooling tower approach temperature is the difference in leaving water temperature and entering air wet-bulb temperature. Cooling tower manufacturers describe the design capacity with water volumetric flow, entering water temperature, leaving water temperature, and entering air wet-bulb temperature. Cooling tower performance can be measured by comparing the design criteria to live operation, but only at design conditions. It is necessary to describe cooling tower approach temperatures when tonnage, flow, and wet bulb temperatures are not at design conditions. Gradient descent regression analysis was performed on data including 8760 hours from seven cooling tower installations to produce a generalized description of approach temperature. Fault detection diagnostics can be performed on such expected approach temperatures against live data."],"dc:format.medium":["electronic"],"dc:format.mimetype":["application/pdf"],"dc:identifier.other":["u0015_0000001_0003628","Cottrell_alatus_0004M_14095"],"dc:identifier.uri":["http://ir.ua.edu/handle/123456789/7027"],"dc:language":["English"],"dc:language.iso":["en_US"],"dc:publisher":["University of Alabama Libraries"],"dc:rights":["All rights reserved by the author unless otherwise indicated."],"dc:subject":["Mechanical engineering"],"dc:title":["General equation for predicting cooling tower approach temperatures at lower wetbulbs"],"dc:type":["thesis","text"]},"updated_at":"2026-07-27T18:44:10Z"}