{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92812"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92812","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Alternative methods for mitigating natural photovoltaic variability: dynamic HVAC load compensation and curtailed PV power","abstract":"\"Continued integration of renewable energy resources onto the electric grid increases variability and decreases grid stability. Energy storage can help mitigate some of these effects, but conventional energy storage such as batteries is typically expensive and has other disadvantages such as round trip inefficiency and limited lifetime. Real, high-speed solar panel data is used to characterize the stochastic energy output of PV sources, and the numerous challenges faced and methods used when manipulating this real-life data set are detailed. Two alternative methods are then presented to absorb or reduce the variability imposed upon the grid by PV or other generation. (1) Dynamic HVAC load compensation is shown to absorb or \"\"filter\"\" short-term PV variability and act as effective grid inertia. A proposed Butterworth filter power target technique balances energy storage demands with decreased uncertainty. A small-scale model of a variable speed blower and fan is used to provide a conversion between fan speed and power consumed and to estimate filtering limitations imposed by undesirable acoustic effects. Considering the acoustic, physical, and thermal limitations simultaneously, the variation absorption or filtering capability of dynamic HVAC load compensation is analyzed for various building sizes and on-site PV penetrations. The resulting reduction in battery storage capacity and utilization is briefly investigated. (2) PV operating reserve curtailment is introduced. The same Butterworth filter power set-point is used, its implementation is shown as feasible through simulation, and the variability reduction is quantified in two different ways. The claim is made that PV should be treated and priced like conventional grid generation, which is responsible for both energy and regulation capabilities. PV operating reserve curtailment is then shown to be economically favorable for at least some level of reserve. Finally, a proposed metric of optimality is presented that balances energy production with decreased variability.\"","abstract_html":""Continued integration of renewable energy resources onto the electric grid increases variability and decreases grid stability. Energy storage can help mitigate some of these effects, but conventional energy storage such as batteries is typically expensive and has other disadvantages such as round trip inefficiency and limited lifetime. Real, high-speed solar panel data is used to characterize the stochastic energy output of PV sources, and the numerous challenges faced and methods used when manipulating this real-life data set are detailed. Two alternative methods are then presented to absorb or reduce the variability imposed upon the grid by PV or other generation. (1) Dynamic HVAC load compensation is shown to absorb or ""filter"" short-term PV variability and act as effective grid inertia. A proposed Butterworth filter power target technique balances energy storage demands with decreased uncertainty. A small-scale model of a variable speed blower and fan is used to provide a conversion between fan speed and power consumed and to estimate filtering limitations imposed by undesirable acoustic effects. Considering the acoustic, physical, and thermal limitations simultaneously, the variation absorption or filtering capability of dynamic HVAC load compensation is analyzed for various building sizes and on-site PV penetrations. The resulting reduction in battery storage capacity and utilization is briefly investigated. (2) PV operating reserve curtailment is introduced. The same Butterworth filter power set-point is used, its implementation is shown as feasible through simulation, and the variability reduction is quantified in two different ways. The claim is made that PV should be treated and priced like conventional grid generation, which is responsible for both energy and regulation capabilities. PV operating reserve curtailment is then shown to be economically favorable for at least some level of reserve. Finally, a proposed metric of optimality is presented that balances energy production with decreased variability."","abstract_has_math":false,"creators":["Magerko, John Alexander"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Krein, Philip T."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:54:56Z","date_published":"2016-11-10T17:54:56Z","updated_at":"2026-07-22T22:26:35Z","subjects":["photovoltaic","high-frequency solar data","solar variability","dynamic load compensation","HVAC","energy storage","operating reserve curtailment","active grid support","incremental conductance","desired power point tracking"],"languages":["en"],"rights":["Copyright 2016 John A. Magerko III"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92812","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Krein, Philip T."]},{"key":"dc:creator","label":"Author","values":["Magerko, John Alexander"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:54:56Z","2016-07-12","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["photovoltaic","high-frequency solar data","solar variability","dynamic load compensation","HVAC","energy storage","operating reserve curtailment","active grid support","incremental conductance","desired power point tracking"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 John A. 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(1) Dynamic HVAC load compensation is shown to absorb or \"\"filter\"\" short-term PV variability and act as effective grid inertia. A proposed Butterworth filter power target technique balances energy storage demands with decreased uncertainty. A small-scale model of a variable speed blower and fan is used to provide a conversion between fan speed and power consumed and to estimate filtering limitations imposed by undesirable acoustic effects. Considering the acoustic, physical, and thermal limitations simultaneously, the variation absorption or filtering capability of dynamic HVAC load compensation is analyzed for various building sizes and on-site PV penetrations. The resulting reduction in battery storage capacity and utilization is briefly investigated. (2) PV operating reserve curtailment is introduced. The same Butterworth filter power set-point is used, its implementation is shown as feasible through simulation, and the variability reduction is quantified in two different ways. The claim is made that PV should be treated and priced like conventional grid generation, which is responsible for both energy and regulation capabilities. PV operating reserve curtailment is then shown to be economically favorable for at least some level of reserve. Finally, a proposed metric of optimality is presented that balances energy production with decreased variability.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, John Magerko, accepted the attached license on 2016-07-12 at 10:50.","The student, John Magerko, submitted this Thesis for approval on 2016-07-12 at 10:53.","This Thesis was approved for publication on 2016-07-12 at 16:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9883 on 2016-11-09 at 10:24:10","Made available in DSpace on 2016-11-10T17:54:56Z (GMT). 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Energy storage can help mitigate some of these effects, but conventional energy storage such as batteries is typically expensive and has other disadvantages such as round trip inefficiency and limited lifetime. Real, high-speed solar panel data is used to characterize the stochastic energy output of PV sources, and the numerous challenges faced and methods used when manipulating this real-life data set are detailed. Two alternative methods are then presented to absorb or reduce the variability imposed upon the grid by PV or other generation. (1) Dynamic HVAC load compensation is shown to absorb or \"\"filter\"\" short-term PV variability and act as effective grid inertia. A proposed Butterworth filter power target technique balances energy storage demands with decreased uncertainty. A small-scale model of a variable speed blower and fan is used to provide a conversion between fan speed and power consumed and to estimate filtering limitations imposed by undesirable acoustic effects. Considering the acoustic, physical, and thermal limitations simultaneously, the variation absorption or filtering capability of dynamic HVAC load compensation is analyzed for various building sizes and on-site PV penetrations. The resulting reduction in battery storage capacity and utilization is briefly investigated. (2) PV operating reserve curtailment is introduced. The same Butterworth filter power set-point is used, its implementation is shown as feasible through simulation, and the variability reduction is quantified in two different ways. The claim is made that PV should be treated and priced like conventional grid generation, which is responsible for both energy and regulation capabilities. PV operating reserve curtailment is then shown to be economically favorable for at least some level of reserve. Finally, a proposed metric of optimality is presented that balances energy production with decreased variability.\"","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, John Magerko, accepted the attached license on 2016-07-12 at 10:50.","The student, John Magerko, submitted this Thesis for approval on 2016-07-12 at 10:53.","This Thesis was approved for publication on 2016-07-12 at 16:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9883 on 2016-11-09 at 10:24:10","Made available in DSpace on 2016-11-10T17:54:56Z (GMT). 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Magerko III"],"dc:subject":["photovoltaic","high-frequency solar data","solar variability","dynamic load compensation","HVAC","energy storage","operating reserve curtailment","active grid support","incremental conductance","desired power point tracking"],"dc:title":["Alternative methods for mitigating natural photovoltaic variability: dynamic HVAC load compensation and curtailed PV power"],"dc:type":["text"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:35Z"}