Mathematical Analysis of Optimal Operating Conditions in Heating Systems
With changes in the outdoor air temperature, the heat consumption of buildings also changes. Timely adjustment of the heating systems to ensure optimal operating conditions is extremely significant to save energy. In this study, the operation conditions of a heating system were analyzed numerically,...
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| Veröffentlicht in: | Mathematical problems in engineering 2019-01, Vol.2019 (2019), p.1-16 |
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| container_title | Mathematical problems in engineering |
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| creator | Shi, Yongjiang Zhang, Hongxi Sun, Yong Kong, Chan |
| description | With changes in the outdoor air temperature, the heat consumption of buildings also changes. Timely adjustment of the heating systems to ensure optimal operating conditions is extremely significant to save energy. In this study, the operation conditions of a heating system were analyzed numerically, and the existence, uniqueness, and stability of the optimal operation conditions of the heating system were proved. An operation optimization model that could obtain the optimal operation conditions was also established, and the correctness of the model was verified experimentally. Experimental results showed that when the flow rate was 0.606 m3/h, the supply water temperature was 67.13°C, water return temperature was 65.90°C, and the pump consumed the least amount of electricity. The experimental results and model calculation results showed that the operating cost is lower when the system flow rate is low and the supply water temperature is high under the same heat dissipation and indoor temperature. |
| doi_str_mv | 10.1155/2019/4264562 |
| format | Article |
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Timely adjustment of the heating systems to ensure optimal operating conditions is extremely significant to save energy. In this study, the operation conditions of a heating system were analyzed numerically, and the existence, uniqueness, and stability of the optimal operation conditions of the heating system were proved. An operation optimization model that could obtain the optimal operation conditions was also established, and the correctness of the model was verified experimentally. Experimental results showed that when the flow rate was 0.606 m3/h, the supply water temperature was 67.13°C, water return temperature was 65.90°C, and the pump consumed the least amount of electricity. The experimental results and model calculation results showed that the operating cost is lower when the system flow rate is low and the supply water temperature is high under the same heat dissipation and indoor temperature.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2019/4264562</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Air temperature ; Electricity consumption ; Energy conservation ; Flow velocity ; Heating ; Heating systems ; Mathematical analysis ; Mathematical models ; Operating costs ; Optimization ; Stability analysis ; Water temperature</subject><ispartof>Mathematical problems in engineering, 2019-01, Vol.2019 (2019), p.1-16</ispartof><rights>Copyright © 2019 Chan Kong et al.</rights><rights>Copyright © 2019 Chan Kong et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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The experimental results and model calculation results showed that the operating cost is lower when the system flow rate is low and the supply water temperature is high under the same heat dissipation and indoor temperature.</description><subject>Air temperature</subject><subject>Electricity consumption</subject><subject>Energy conservation</subject><subject>Flow velocity</subject><subject>Heating</subject><subject>Heating systems</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Operating costs</subject><subject>Optimization</subject><subject>Stability analysis</subject><subject>Water temperature</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkM1LAzEQxYMoWKs3z7LgUdfmO5ujFLVCpQcVvIW4O7Ep7e6apEj_e1O24NHTDG9-POY9hC4JviNEiAnFRE84lVxIeoRGREhWCsLVcd4x5SWh7OMUncW4wpgSQaoRmr3YtISNTb626-K-tetd9LHoXLHok99kbdFDyOf2q5h2beOT79pY-LaYwaC-7mKCTTxHJ86uI1wc5hi9Pz68TWflfPH0PL2flzUjKpWgqorrilWgMPuExuEaAChA7bB2uiFUONFIbAnXOY6jYJVUUAnnMJZSsjG6Hnz70H1vISaz6rYh_x0NpVQxwbTQmbodqDp0MQZwpg85TdgZgs2-K7Pvyhy6yvjNgC9929gf_x99NdC5t2xt_2iihRCc_QJV3XJn</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Shi, Yongjiang</creator><creator>Zhang, Hongxi</creator><creator>Sun, Yong</creator><creator>Kong, Chan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-1442-5187</orcidid></search><sort><creationdate>20190101</creationdate><title>Mathematical Analysis of Optimal Operating Conditions in Heating Systems</title><author>Shi, Yongjiang ; 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Timely adjustment of the heating systems to ensure optimal operating conditions is extremely significant to save energy. In this study, the operation conditions of a heating system were analyzed numerically, and the existence, uniqueness, and stability of the optimal operation conditions of the heating system were proved. An operation optimization model that could obtain the optimal operation conditions was also established, and the correctness of the model was verified experimentally. Experimental results showed that when the flow rate was 0.606 m3/h, the supply water temperature was 67.13°C, water return temperature was 65.90°C, and the pump consumed the least amount of electricity. 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| source | Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Air temperature Electricity consumption Energy conservation Flow velocity Heating Heating systems Mathematical analysis Mathematical models Operating costs Optimization Stability analysis Water temperature |
| title | Mathematical Analysis of Optimal Operating Conditions in Heating Systems |
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