Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorChen, Yuzhuen_US
dc.contributor.authorXu, Jinzhaoen_US
dc.contributor.authorWang, Junen_US
dc.contributor.authorLund, Peter D.en_US
dc.contributor.departmentDepartment of Applied Physicsen
dc.contributor.groupauthorNew Energy Technologiesen
dc.contributor.organizationSoutheast University, Nanjingen_US
dc.date.accessioned2022-06-08T06:11:03Z
dc.date.available2022-06-08T06:11:03Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2024-05-02en_US
dc.date.issued2022-08-01en_US
dc.descriptionFunding Information: This research has been supported by National Natural Science Foundation of China (Grant No. 22109022 and 51736006 ) and Fundamental Research Funds for the Central Universities (Grant No. 2242021k30028 ). Publisher Copyright: © 2022
dc.description.abstractA weather-based energy system consisting of a tri-generation unit, photovoltaics, and water-cooled chiller is proposed here for improving the energy and environmental performance. Together with capacities of other devices, the cooling ratio, and capacities of different types of chiller are optimized to find the ideal system configuration setting the energy and cost savings and renewable energy use as the objectives. In addition, daily and monthly operating modes with the optimal system composition are analyzed followed by a sensitivity analysis. The results show that increasing energy saving ratio improves the cost saving benefits, but the renewable energy penetration rate would decrease due to lower grid electricity consumption. The ideal system configuration in ratio optimization process has a higher gas turbine and chiller capacity resulting in higher performance than the system with capacity optimization process, or 2.7%, 1.6%, and 0.2%-unit higher of the considered indices. When increasing the specific cost of the chiller, cost saving ratio of the ideal system decreases, while the impacts on the energy savings and renewable energy use are lower. The analysis indicates that the price of grid electricity is the most sensitive factor, while the influence of carbon cost is slight.en
dc.description.versionPeer revieweden
dc.format.extent14
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationChen, Y, Xu, J, Wang, J & Lund, P D 2022, 'Optimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chiller', Energy, vol. 252, 124094, pp. 1-14. https://doi.org/10.1016/j.energy.2022.124094en
dc.identifier.doi10.1016/j.energy.2022.124094en_US
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.otherPURE UUID: 19e2393d-5b4a-4b4d-88ee-ac42ed09d9c7en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/19e2393d-5b4a-4b4d-88ee-ac42ed09d9c7en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85129047703&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/83635706/SCI_Lund_Optimization_of_a_weather_based_energy_system_for_high_cooling_and_low_heating_conditions_using_different_types_of_water_cooled_chiller.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/114737
dc.identifier.urnURN:NBN:fi:aalto-202206083580
dc.language.isoenen
dc.publisherElsevier
dc.relation.ispartofseriesEnergyen
dc.relation.ispartofseriesVolume 252, pp. 1-14en
dc.rightsopenAccessen
dc.subject.keywordRatio and capacity optimizationen_US
dc.subject.keywordRenewable energy penetration ratioen_US
dc.subject.keywordSensitivity analysisen_US
dc.subject.keywordWater-cooled chiller typesen_US
dc.subject.keywordWeather-based energy systemen_US
dc.titleOptimization of a weather-based energy system for high cooling and low heating conditions using different types of water-cooled chilleren
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
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