{"id":{"repo_id":"colostate","oai_identifier":"oai:mountainscholar.org:10217/185686"},"canonical_url":"https://search.dev.ndltd.org/etd/colostate/oai:mountainscholar.org:10217/185686","repository":{"repo_id":"colostate","name":"Colorado State University","base_url":"https://api.mountainscholar.org/server/oai/request"},"display":{"title":"A dynamic engineering model of algal cultivation systems","abstract":"Proper assessment of the sustainability of algal products is constrained by the onerous process of pilot-scale experimental study. This study developed a bulk growth model that utilizes strain characterization, geospatial data, and cultivation platform geometry to predict productivity across different outdoor systems. The model interprets a minimum of measureable algal strain characteristics along with characteristics of the growth architecture to calculate a time-resolved algal concentration. Validation of the model illustrates an average accuracy of 7.33%+/5.65% for photobioreactors (PBR) and 6.7%+/5.33% for an open raceway pond (ORP) across five total species: Chlorella vulgaris, Desmodesmus intermedius, Galdieria sulphuraria, Galdieria sulphuraria Soos, and Nannochloropsis oceanica. The validated model assesses productivity at several locations in the United States with Chlorella vulgaris, grown in open raceway ponds and Galdieria sulphuraria grown in vertical flat panel photobioreactors. The model investigates seasonal variability through geospatially and temporally resolved extrapolation.","abstract_html":"Proper assessment of the sustainability of algal products is constrained by the onerous process of pilot-scale experimental study. This study developed a bulk growth model that utilizes strain characterization, geospatial data, and cultivation platform geometry to predict productivity across different outdoor systems. The model interprets a minimum of measureable algal strain characteristics along with characteristics of the growth architecture to calculate a time-resolved algal concentration. Validation of the model illustrates an average accuracy of 7.33%+/5.65% for photobioreactors (PBR) and 6.7%+/5.33% for an open raceway pond (ORP) across five total species: Chlorella vulgaris, Desmodesmus intermedius, Galdieria sulphuraria, Galdieria sulphuraria Soos, and Nannochloropsis oceanica. The validated model assesses productivity at several locations in the United States with Chlorella vulgaris, grown in open raceway ponds and Galdieria sulphuraria grown in vertical flat panel photobioreactors. The model investigates seasonal variability through geospatially and temporally resolved extrapolation.","abstract_has_math":false,"creators":["Compton, Samuel Lighthall, author","Quinn, Jason C., advisor","Marchese, Anthony, committee member","Peers, Graham, committee member"],"institution":"Colorado State University. Libraries","degree_name":"Master of Science (M.S.)","degree_level":"Masters","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-07-27T19:13:02Z","subjects":["biofuel","dynamic","algae","model","biomass"],"languages":["eng","English"],"rights":["Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://doi.org/10.25675/3.018476"],"render_values":[{"text":"https://doi.org/10.25675/3.018476","href":"https://doi.org/10.25675/3.018476","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10217/185686","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Compton, Samuel Lighthall, author","Quinn, Jason C., advisor","Marchese, Anthony, committee member","Peers, Graham, committee member"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2018-01-17T16:45:45Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2018-01-17T16:45:45Z"]},{"key":"dc:date.issued","label":"Date","values":["2017"]},{"key":"dc:publisher","label":"Institution","values":["Colorado State University. Libraries"]},{"key":"dc:type","label":"Dc Type","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (M.S.)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Colorado State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["biofuel","dynamic","algae","model","biomass"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["Compton_colostate_0053N_14504.pdf"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10217/185686","https://doi.org/10.25675/3.018476"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Proper assessment of the sustainability of algal products is constrained by the onerous process of pilot-scale experimental study. This study developed a bulk growth model that utilizes strain characterization, geospatial data, and cultivation platform geometry to predict productivity across different outdoor systems. The model interprets a minimum of measureable algal strain characteristics along with characteristics of the growth architecture to calculate a time-resolved algal concentration. Validation of the model illustrates an average accuracy of 7.33%+/5.65% for photobioreactors (PBR) and 6.7%+/5.33% for an open raceway pond (ORP) across five total species: Chlorella vulgaris, Desmodesmus intermedius, Galdieria sulphuraria, Galdieria sulphuraria Soos, and Nannochloropsis oceanica. The validated model assesses productivity at several locations in the United States with Chlorella vulgaris, grown in open raceway ponds and Galdieria sulphuraria grown in vertical flat panel photobioreactors. The model investigates seasonal variability through geospatially and temporally resolved extrapolation."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["born digital","masters theses"]},{"key":"dc:title","label":"Title","values":["A dynamic engineering model of algal cultivation systems"]}]}],"canonical_facts":{"dc:creator":["Compton, Samuel Lighthall, author","Quinn, Jason C., advisor","Marchese, Anthony, committee member","Peers, Graham, committee member"],"dc:date.accessioned":["2018-01-17T16:45:45Z"],"dc:date.available":["2018-01-17T16:45:45Z"],"dc:date.issued":["2017"],"dc:description.abstract":["Proper assessment of the sustainability of algal products is constrained by the onerous process of pilot-scale experimental study. This study developed a bulk growth model that utilizes strain characterization, geospatial data, and cultivation platform geometry to predict productivity across different outdoor systems. The model interprets a minimum of measureable algal strain characteristics along with characteristics of the growth architecture to calculate a time-resolved algal concentration. Validation of the model illustrates an average accuracy of 7.33%+/5.65% for photobioreactors (PBR) and 6.7%+/5.33% for an open raceway pond (ORP) across five total species: Chlorella vulgaris, Desmodesmus intermedius, Galdieria sulphuraria, Galdieria sulphuraria Soos, and Nannochloropsis oceanica. The validated model assesses productivity at several locations in the United States with Chlorella vulgaris, grown in open raceway ponds and Galdieria sulphuraria grown in vertical flat panel photobioreactors. The model investigates seasonal variability through geospatially and temporally resolved extrapolation."],"dc:format.medium":["born digital","masters theses"],"dc:identifier":["Compton_colostate_0053N_14504.pdf"],"dc:identifier.uri":["https://hdl.handle.net/10217/185686","https://doi.org/10.25675/3.018476"],"dc:language":["English"],"dc:language.iso":["eng"],"dc:publisher":["Colorado State University. Libraries"],"dc:rights":["Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright."],"dc:subject":["biofuel","dynamic","algae","model","biomass"],"dc:title":["A dynamic engineering model of algal cultivation systems"],"dc:type":["Text"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science (M.S.)"],"thesis:institution_name":["Colorado State University"]},"updated_at":"2026-07-27T19:13:02Z"}