{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T05:27:06Z","timestamp":1673933226837},"reference-count":25,"publisher":"IGI Global","issue":"2","license":[{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"},{"start":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T00:00:00Z","timestamp":1671753600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en_US"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,23]]},"abstract":"

This paper describes some of the work carried out within the Horizon 2020 project MIDES (MIcrobial DESalination for low energy drinking water), which is developing the world's largest demonstration of a low-energy sys-tem to produce safe drinking water. The work in focus concerns the support for operational decisions on desalination plants, specifically applied to a mi-crobial-powered approach for water treatment and desalination, starting from the stages of process modelling, process simulation, optimization and lab-validation, through the stages of plant monitoring and automated control. The work is based on the application of the environment IPSEpro for the stage of process modelling and simulation; and on the system DataBridge for auto-mated control, which employs techniques of Machine Learning.<\/p>","DOI":"10.4018\/ijdsst.315639","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T20:04:59Z","timestamp":1671825899000},"page":"1-20","source":"Crossref","is-referenced-by-count":0,"title":["Operational Decision-Making on Desalination Plants"],"prefix":"10.4018","volume":"15","author":[{"given":"Fatima C.C.","family":"Dargam","sequence":"first","affiliation":[{"name":"SimTech Simulation Technology, Austria"}]},{"given":"Erhard","family":"Perz","sequence":"additional","affiliation":[{"name":"SimTech Simulation Technology, Austria"}]},{"given":"Stefan","family":"Bergmann","sequence":"additional","affiliation":[{"name":"SimTech Simulation Technology, Austria"}]},{"given":"Ekaterina","family":"Rodionova","sequence":"additional","affiliation":[{"name":"SimTech Simulation Technology, Austria"}]},{"given":"Pedro","family":"Sousa","sequence":"additional","affiliation":[{"name":"Oncontrol Technologies, Portugal"}]},{"given":"Francisco Alexandre A.","family":"Souza","sequence":"additional","affiliation":[{"name":"OnControl Technologies, Portugal"}]},{"given":"Tiago","family":"Matias","sequence":"additional","affiliation":[{"name":"OnControl Technologies, Portugal"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0945-0003","authenticated-orcid":true,"given":"Juan Manuel","family":"Ortiz","sequence":"additional","affiliation":[{"name":"IMDEA Water Institute, Spain"}]},{"given":"Abraham","family":"Esteve-Nu\u00f1ez","sequence":"additional","affiliation":[{"name":"IMDEA Water Institute, Spain"}]},{"given":"Pau","family":"Rodenas","sequence":"additional","affiliation":[{"name":"IMDEA Water Institute, Spain"}]},{"given":"Patricia Zamora","family":"Bonachela","sequence":"additional","affiliation":[{"name":"Aqualia \u2013 FCC Group, Spain"}]}],"member":"2432","reference":[{"key":"IJDSST.315639-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2011.02.028"},{"key":"IJDSST.315639-1","article-title":"Pretreatment systems in desalination plants to reduce extreme events impact in drinking water production","author":"J.Arevalo","year":"2017","journal-title":"Proceedings of the 1st pan\u2010European Water and Sanitation Safety Planning and Extreme Weather Events Conference"},{"key":"IJDSST.315639-2","author":"C. M.Bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"IJDSST.315639-3","doi-asserted-by":"crossref","unstructured":"Dargam, F. C. C., & Perz, E. (1998). A Decision Support System for Power Plant Design. European Journal of Operational Research, 109, 310-320.","DOI":"10.1016\/S0377-2217(98)00059-9"},{"issue":"1","key":"IJDSST.315639-4","first-page":"3","article-title":"Data Mining and Statistics: What\u2019s the connection?","volume":"29","author":"J. H.Friedman","year":"1998","journal-title":"Computing Science and Statistics."},{"key":"IJDSST.315639-5","unstructured":"Horizon 2020 Project MIDES. (2016). MIDES - Microbial Desalination for Low Energy Drinking Water. DoA - Description of Action (H2020-NMP-2014-2015\/H2020-NMP-2015-two-stage). In European Commission - Horizon 2020 Project Grant Agreement No. 685793, pp 83-231. Associated with document Ref. Ares 1046927."},{"key":"IJDSST.315639-6","unstructured":"InteGRail FP6 Research Project. (n.d.). Intelligent Integration of Railway Systems (2005-2008).http:\/\/www.integrail.eu\/documents\/fs21.pdf"},{"key":"IJDSST.315639-7","doi-asserted-by":"crossref","unstructured":"Karellas, S., Leontaritis, A.-D., Panousis, G., Bellos, E., & Kakaras, E. (2012). Energetic and exergetic analysis of waste heat recovery systems in the cement industry. Proceedings of ECOS 2012 \u2013 The 25th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy System.","DOI":"10.1016\/j.energy.2013.03.097"},{"key":"IJDSST.315639-8","doi-asserted-by":"publisher","DOI":"10.3846\/20294913.2011.580563"},{"key":"IJDSST.315639-9","unstructured":"Knowledge & Tools. (2009). 2030 Water Resources Group. https:\/\/www.2030wrg.org\/knowledge-tools\/"},{"key":"IJDSST.315639-10","unstructured":"MIDES Consortium. (2016). Deliverable D3.1 Definition of the MDC mathematical model for the lab scale set-up operation. MIDES Project - Published in 2016 under the Horizon 2020 Project Grant Agreement No. 685793."},{"key":"IJDSST.315639-11","unstructured":"MIDES Consortium. (2017). Deliverable D5.1 Comparison Study of Energy Performance for various Desalination Technologies. Published in 2017 under the MIDES Project - Horizon 2020 Project Grant Agreement No. 685793."},{"key":"IJDSST.315639-12","unstructured":"MIDES Consortium. (2018a). Deliverable D5.2 IPSEpro Model Library & Simulation of MIDES Process and Energy Consumption Study & Optimisation Analysis. Published in 2018 under the MIDES Project - Horizon 2020 Project Grant Agreement No. 685793."},{"key":"IJDSST.315639-13","unstructured":"MIDES Consortium. (2018b). Deliverable D5.3 \u2013 IPSEpro Models for MIDES Process & MIDES Web-based Process Model. Published in 2018 under the MIDES Project - Horizon 2020 Project Grant Agreement No. 685793."},{"key":"IJDSST.315639-14","unstructured":"MIDES Consortium. (2018c). Deliverable D5.4 \u2013 Overall MIDES automation project and Key Performance Evaluation. Published in 2018 under the MIDES Project - Horizon 2020 Project Grant Agreement No. 685793."},{"key":"IJDSST.315639-15","unstructured":"Nurminen, M., Suominen, P., \u00c4yr\u00e4m\u00f6, S., & K\u00e4rkk\u00e4inen, T. (2008). Use Cases for Operational Decision Support System. VTT Research Notes, 2442, 107-131. https:\/\/www.vtt.fi\/inf\/pdf\/tiedotteet\/2008\/T2442.pdf"},{"key":"IJDSST.315639-16","unstructured":"Perz, E., & Erbes, M. (2011). Process Modelling of Organic Rankine Cycles. In ORC 2011, First International Seminar on ORC Power Systems. TU Delft."},{"key":"IJDSST.315639-17","article-title":"A new approach for modelling energy systems","author":"E.Perz","year":"1995","journal-title":"ASME Cogen Turbo Power Conference"},{"key":"IJDSST.315639-18","doi-asserted-by":"publisher","DOI":"10.3389\/fenrg.2019.00135"},{"key":"IJDSST.315639-19","unstructured":"SimTech Simulation Technology. (n.d.a). IPSEpro-PSE: Process Simulation Environment \u2013 User Manual. SimTech GmbH www.simtechnology.com"},{"key":"IJDSST.315639-20","unstructured":"SimTech Simulation Technology. (n.d.b). IPSEpro-MDK: Model Development Kit \u2013 User Manual. SimTech GmbH www.simtechnology.com"},{"key":"IJDSST.315639-21","unstructured":"SimTech Simulation Technology. (n.d.c). IPSEpro: Specification of the Desalination Library (Desal_Lib). SimTech GmbH www.simtechnology.com"},{"key":"IJDSST.315639-22","doi-asserted-by":"publisher","DOI":"10.1016\/j.desal.2012.04.021"},{"key":"IJDSST.315639-23","unstructured":"W3C. (2014). A vocabulary and associated APIs for HTML and XHTML. World Wide Web Consortium, W3C Recommendation 28 October 2014. https:\/\/www.w3.org\/TR\/2014\/REC-html5-20141028\/"},{"key":"IJDSST.315639-24","unstructured":"Zamora, P., Ram\u00edrez-Moreno, M., & Ortiz, J. M. (2019). Towards the World\u2019s Largest Microbial Desalination Cell for Low Energy Drinking Water Production. Proceedings of the IDAWC19 International Desalination Association World Congress on Desalination and Water Reuse 2019."}],"container-title":["International Journal of Decision Support System Technology"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=315639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T00:51:26Z","timestamp":1673916686000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJDSST.315639"}},"subtitle":["From Process Modelling and Simulation to Monitoring and Automated Control With Machine Learning"],"short-title":[],"issued":{"date-parts":[[2022,12,23]]},"references-count":25,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,7]]}},"URL":"https:\/\/doi.org\/10.4018\/ijdsst.315639","relation":{},"ISSN":["1941-6296","1941-630X"],"issn-type":[{"value":"1941-6296","type":"print"},{"value":"1941-630X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,23]]}}}