{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/5320"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/5320","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"On the operability of heat exchanger networks","abstract":"The dynamic operability of processes refers to the degree to which plants may be satisfactorily controlled. This report presents a study of the operability of heat exchanger networks (HENs).The integration of heat exchange systems such as HENs typically results in significant steady-state cost savings which is the motivation for their implementation. However, such integration may lead to problems in the dynamic operation of the system if the operability of HENs is not considered. Operability analysis techniques are presented that provide a quantitative measure of the operability of HENs that is related to the minimum integral setpoint error of a closed-loop HEN under a step disturbance. The different operability analysis techniques are specified by ,u sing different controller types which are optimally tuned in an optimization framework. The different controllers include PI (proportionalintegral) control, MPC (model predictive control), optimal linear control (via Qparametrization) and an optimal open-loop control strategy that represents the best possible closed-loop performance.","abstract_html":"The dynamic operability of processes refers to the degree to which plants may be satisfactorily controlled. This report presents a study of the operability of heat exchanger networks (HENs).The integration of heat exchange systems such as HENs typically results in significant steady-state cost savings which is the motivation for their implementation. However, such integration may lead to problems in the dynamic operation of the system if the operability of HENs is not considered. Operability analysis techniques are presented that provide a quantitative measure of the operability of HENs that is related to the minimum integral setpoint error of a closed-loop HEN under a step disturbance. The different operability analysis techniques are specified by ,u sing different controller types which are optimally tuned in an optimization framework. The different controllers include PI (proportionalintegral) control, MPC (model predictive control), optimal linear control (via Qparametrization) and an optimal open-loop control strategy that represents the best possible closed-loop performance.","abstract_has_math":false,"creators":["Hattingh, Caleb"],"institution":"Department of Chemical Engineering","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Swartz, Chris"],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000","date_published":"2000","updated_at":"2026-07-22T22:23:41Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/5320","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Swartz, Chris"]},{"key":"dc:creator","label":"Author","values":["Hattingh, Caleb"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-31T11:09:34Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-31T11:09:34Z"]},{"key":"dc:date.issued","label":"Date","values":["2000"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Chemical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/5320"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Bibliography: leaves 127-132."]},{"key":"dc:description.abstract","label":"Abstract","values":["The dynamic operability of processes refers to the degree to which plants may be satisfactorily controlled. This report presents a study of the operability of heat exchanger networks (HENs).The integration of heat exchange systems such as HENs typically results in significant steady-state cost savings which is the motivation for their implementation. However, such integration may lead to problems in the dynamic operation of the system if the operability of HENs is not considered. Operability analysis techniques are presented that provide a quantitative measure of the operability of HENs that is related to the minimum integral setpoint error of a closed-loop HEN under a step disturbance. The different operability analysis techniques are specified by ,u sing different controller types which are optimally tuned in an optimization framework. The different controllers include PI (proportionalintegral) control, MPC (model predictive control), optimal linear control (via Qparametrization) and an optimal open-loop control strategy that represents the best possible closed-loop performance."]},{"key":"dc:title","label":"Title","values":["On the operability of heat exchanger networks"]}]}],"canonical_facts":{"dc:contributor.advisor":["Swartz, Chris"],"dc:creator":["Hattingh, Caleb"],"dc:date.accessioned":["2014-07-31T11:09:34Z"],"dc:date.available":["2014-07-31T11:09:34Z"],"dc:date.issued":["2000"],"dc:description":["Bibliography: leaves 127-132."],"dc:description.abstract":["The dynamic operability of processes refers to the degree to which plants may be satisfactorily controlled. This report presents a study of the operability of heat exchanger networks (HENs).The integration of heat exchange systems such as HENs typically results in significant steady-state cost savings which is the motivation for their implementation. However, such integration may lead to problems in the dynamic operation of the system if the operability of HENs is not considered. Operability analysis techniques are presented that provide a quantitative measure of the operability of HENs that is related to the minimum integral setpoint error of a closed-loop HEN under a step disturbance. The different operability analysis techniques are specified by ,u sing different controller types which are optimally tuned in an optimization framework. The different controllers include PI (proportionalintegral) control, MPC (model predictive control), optimal linear control (via Qparametrization) and an optimal open-loop control strategy that represents the best possible closed-loop performance."],"dc:identifier.uri":["http://hdl.handle.net/11427/5320"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Chemical Engineering"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["On the operability of heat exchanger networks"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-22T22:23:41Z"}