Total Site Heat Integration with Seasonal Energy Availability
Total Site Heat Integration (TSHI) approach has been extended to the Locally Integrated Energy Sectors (LIES) that include small scale industrial plants, renewable energy sources with variable supplies, and residential as well as commercial buildings as energy consumers with fluctuating demands. TS...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2013-09-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/5952 |
| _version_ | 1819168749801963520 |
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| author | P.Y. Liew S.R. Wan Alwi J.J. Klemes P.S. Varbanov Z.A. Manan |
| author_facet | P.Y. Liew S.R. Wan Alwi J.J. Klemes P.S. Varbanov Z.A. Manan |
| author_sort | P.Y. Liew |
| collection | DOAJ |
| description | Total Site Heat Integration (TSHI) approach has been extended to the Locally Integrated Energy Sectors (LIES) that include small scale industrial plants, renewable energy sources with variable supplies, and residential as well as commercial buildings as energy consumers with fluctuating demands. TS targeting methodology with Time Slices, which is comparable to Heat Integration for batch processes, have been introduced for a short-term, day-to-day analysis. Energy storage facility is integrated in the TS to address the problem of energy supply variation. However, previous studies have mostly dealt with the daily or short term variations. This work introduces an extended methodology for TS integration for the long-term energy supply and demand planning. The work is important in solving cases with a considerable temporal fluctuation of heat sources/sinks, in order to obtain more energy saving opportunities within a longer period of time (i.e., in the scale of weeks or even months). The energy fluctuation in processing plants may be caused by seasonal climate variations, long-term customer demands or even economic down-turn. Some other possibilities include operability issues and raw material availability. The methodology can also be implemented for district heating and cooling systems in countries with four seasons, assuming energy excess during the summer can be stored for use in other seasons e.g. during the winter. This methodology is demonstrated by a case study which involves integration of batch processing plants and space heating system together with cooling system which only operates during certain periods of time. Several scenarios which affect the long-term energy supply and demand have been assumed. |
| first_indexed | 2024-12-22T19:08:33Z |
| format | Article |
| id | doaj.art-84715ec88351485696a6008b91af25ea |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-12-22T19:08:33Z |
| publishDate | 2013-09-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-84715ec88351485696a6008b91af25ea2022-12-21T18:15:45ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162013-09-013510.3303/CET1335003Total Site Heat Integration with Seasonal Energy AvailabilityP.Y. LiewS.R. Wan AlwiJ.J. KlemesP.S. VarbanovZ.A. MananTotal Site Heat Integration (TSHI) approach has been extended to the Locally Integrated Energy Sectors (LIES) that include small scale industrial plants, renewable energy sources with variable supplies, and residential as well as commercial buildings as energy consumers with fluctuating demands. TS targeting methodology with Time Slices, which is comparable to Heat Integration for batch processes, have been introduced for a short-term, day-to-day analysis. Energy storage facility is integrated in the TS to address the problem of energy supply variation. However, previous studies have mostly dealt with the daily or short term variations. This work introduces an extended methodology for TS integration for the long-term energy supply and demand planning. The work is important in solving cases with a considerable temporal fluctuation of heat sources/sinks, in order to obtain more energy saving opportunities within a longer period of time (i.e., in the scale of weeks or even months). The energy fluctuation in processing plants may be caused by seasonal climate variations, long-term customer demands or even economic down-turn. Some other possibilities include operability issues and raw material availability. The methodology can also be implemented for district heating and cooling systems in countries with four seasons, assuming energy excess during the summer can be stored for use in other seasons e.g. during the winter. This methodology is demonstrated by a case study which involves integration of batch processing plants and space heating system together with cooling system which only operates during certain periods of time. Several scenarios which affect the long-term energy supply and demand have been assumed.https://www.cetjournal.it/index.php/cet/article/view/5952 |
| spellingShingle | P.Y. Liew S.R. Wan Alwi J.J. Klemes P.S. Varbanov Z.A. Manan Total Site Heat Integration with Seasonal Energy Availability Chemical Engineering Transactions |
| title | Total Site Heat Integration with Seasonal Energy Availability |
| title_full | Total Site Heat Integration with Seasonal Energy Availability |
| title_fullStr | Total Site Heat Integration with Seasonal Energy Availability |
| title_full_unstemmed | Total Site Heat Integration with Seasonal Energy Availability |
| title_short | Total Site Heat Integration with Seasonal Energy Availability |
| title_sort | total site heat integration with seasonal energy availability |
| url | https://www.cetjournal.it/index.php/cet/article/view/5952 |
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