dc.contributor.author | Walmsley, Michael R.W. | |
dc.contributor.author | Walmsley, Timothy Gordon | |
dc.contributor.author | Atkins, Martin John | |
dc.contributor.author | Neale, James R. | |
dc.date.accessioned | 2013-01-15T21:53:19Z | |
dc.date.available | 2013-01-15T21:53:19Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Walmsley, M.R.W., Walmsley, T., Atkins, M.J. & Neale, J.R. (2012). Chemical Engineering Transactions, 29, pp. 1219-1224. | en_NZ |
dc.identifier.issn | 19749791 | |
dc.identifier.uri | https://hdl.handle.net/10289/7058 | |
dc.description.abstract | Inter-plant heat integration across a large site can be achieved using a Heat Recovery Loop (HRL). In this paper the relationship between HRL storage temperatures, heating and cooling utility savings (heat recovery) and total HRL exchanger area is investigated. A methodology for designing a HRL based on a ΔTmin approach is compared to three global optimisation approaches where heat exchangers are constrained to have either the same Number of Heat Transfer Units (NTU), Log-Mean Temperature Difference (LMTD) or no constraints (actual global optimum). Analysis is performed using time averaged flow rate and temperature data. Attention is given to understanding the actual temperature driving force of the HRL heat exchangers compared to the apparent driving force as indicated by the composite curves. The cold storage temperature is also varied to minimise the total heat exchanger area. Results for the same heat recovery level show that the ΔTmin approach is effective at minimising total area to within 5 % of the unconstrained global optimisation approach. The study also demonstrates the efficiency of the ΔT min approach to HRL design compared to the other methods which require considerable computational resources. | en_NZ |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.publisher | AIDIC Servizi S.r.l. | en_NZ |
dc.rights | Copyright © 2012, AIDIC Servizi S.r.l. Used with permission. | en_NZ |
dc.subject | Actual temperature | en_NZ |
dc.subject | Composite curves | en_NZ |
dc.subject | Computational resources | en_NZ |
dc.subject | Driving forces | en_NZ |
dc.subject | Exchanger area | en_NZ |
dc.subject | Global optimisation | en_NZ |
dc.subject | Global optimum | en_NZ |
dc.subject | Heat integration | en_NZ |
dc.subject | Log-mean temperature differences | en_NZ |
dc.subject | Number of heat transfer units | en_NZ |
dc.subject | Storage temperatures | en_NZ |
dc.subject | Temperature data | en_NZ |
dc.subject | Time-averaged flow | en_NZ |
dc.title | Area targeting and storage temperature selection for heat recovery loops | en_NZ |
dc.type | Journal Article | en_NZ |
dc.identifier.doi | 10.3303/CET1229204 | en_NZ |
pubs.declined | 2014-06-05T17:47:36.416+1200 | |
pubs.deleted | 2014-06-05T17:47:36.416+1200 | |
pubs.elements-id | 57674 | |