Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control
•An innovative building envelope called Empower Wall was designed and tested.•The smart wall integrates with both thermal energy storage and active insulation.•Model predictive control was implemented to optimize energy consumption and cost.•The prototype system demonstrated the ability for both ene...
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Veröffentlicht in: | Energy conversion and management 2022-08, Vol.266 (1), p.115823, Article 115823 |
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creator | Atkins, Celeste Hun, Diana Im, Piljae Post, Brian Slattery, Bob Iffa, Emishaw Cui, Borui Dong, Jin Barnes, Abigail Vaughan, Joshua Roschli, Alex Salonvaara, Mikael Shrestha, Som Jung, Sungkyun Chesser, Phillip Heineman, Jesse Wang, Peter L. Jackson, Amiee Lapsa, Melissa Voss |
description | •An innovative building envelope called Empower Wall was designed and tested.•The smart wall integrates with both thermal energy storage and active insulation.•Model predictive control was implemented to optimize energy consumption and cost.•The prototype system demonstrated the ability for both energy and cost savings.
Buildings are one of the largest energy consumers worldwide, using large amounts of energy during their construction and for climate control during operation. Active insulation systems (AIS) have been shown to reduce the energy needed for climate control in buildings by dynamically regulating the heat transferred between a building’s interior and exterior. Infrastructure-scale additive manufacturing (AM) has the potential to reduce the resources needed for building construction. Combining these two technologies into a single building envelope would create a path towards more sustainable buildings. A test was conducted for the Federal Energy Management Program (FEMP) Energy Exchange training and trade show, in August 2021, to investigate a new building envelope design, termed the Empower Wall, that utilized an AIS and was constructed using AM. Model predictive control was implemented to manage operation of the Empower Wall in concert with the existing HVAC system. The prototype system demonstrated that the Empower Wall lowered total energy consumption and reduced the cost of energy used. |
doi_str_mv | 10.1016/j.enconman.2022.115823 |
format | Article |
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Buildings are one of the largest energy consumers worldwide, using large amounts of energy during their construction and for climate control during operation. Active insulation systems (AIS) have been shown to reduce the energy needed for climate control in buildings by dynamically regulating the heat transferred between a building’s interior and exterior. Infrastructure-scale additive manufacturing (AM) has the potential to reduce the resources needed for building construction. Combining these two technologies into a single building envelope would create a path towards more sustainable buildings. A test was conducted for the Federal Energy Management Program (FEMP) Energy Exchange training and trade show, in August 2021, to investigate a new building envelope design, termed the Empower Wall, that utilized an AIS and was constructed using AM. Model predictive control was implemented to manage operation of the Empower Wall in concert with the existing HVAC system. The prototype system demonstrated that the Empower Wall lowered total energy consumption and reduced the cost of energy used.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2022.115823</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Active insulation ; Additive manufacturing ; administrative management ; Buildings ; climate ; energy conversion ; Energy storage ; energy transfer ; heat ; insulating materials ; MATERIALS SCIENCE ; Model predictive control ; Peak reduction ; prototypes ; trade shows</subject><ispartof>Energy conversion and management, 2022-08, Vol.266 (1), p.115823, Article 115823</ispartof><rights>2022 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-2d36c15fd8f12f208176aaadecaccc5e1bee66bf560da9e655c3c288e9d2e4ea3</citedby><cites>FETCH-LOGICAL-c350t-2d36c15fd8f12f208176aaadecaccc5e1bee66bf560da9e655c3c288e9d2e4ea3</cites><orcidid>0000000164746002 ; 0000000299786503 ; 0000000172595507 ; 0000000307573197 ; 0000000318991554 ; 0000000214502250 ; 0000000295242402 ; 0000000213084632 ; 0000000257531588 ; 0000000264670711 ; 000000021229657X ; 0000000183993797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enconman.2022.115823$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,3538,27906,27907,45977</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1871890$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Atkins, Celeste</creatorcontrib><creatorcontrib>Hun, Diana</creatorcontrib><creatorcontrib>Im, Piljae</creatorcontrib><creatorcontrib>Post, Brian</creatorcontrib><creatorcontrib>Slattery, Bob</creatorcontrib><creatorcontrib>Iffa, Emishaw</creatorcontrib><creatorcontrib>Cui, Borui</creatorcontrib><creatorcontrib>Dong, Jin</creatorcontrib><creatorcontrib>Barnes, Abigail</creatorcontrib><creatorcontrib>Vaughan, Joshua</creatorcontrib><creatorcontrib>Roschli, Alex</creatorcontrib><creatorcontrib>Salonvaara, Mikael</creatorcontrib><creatorcontrib>Shrestha, Som</creatorcontrib><creatorcontrib>Jung, Sungkyun</creatorcontrib><creatorcontrib>Chesser, Phillip</creatorcontrib><creatorcontrib>Heineman, Jesse</creatorcontrib><creatorcontrib>Wang, Peter L.</creatorcontrib><creatorcontrib>Jackson, Amiee</creatorcontrib><creatorcontrib>Lapsa, Melissa Voss</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</creatorcontrib><title>Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control</title><title>Energy conversion and management</title><description>•An innovative building envelope called Empower Wall was designed and tested.•The smart wall integrates with both thermal energy storage and active insulation.•Model predictive control was implemented to optimize energy consumption and cost.•The prototype system demonstrated the ability for both energy and cost savings.
Buildings are one of the largest energy consumers worldwide, using large amounts of energy during their construction and for climate control during operation. Active insulation systems (AIS) have been shown to reduce the energy needed for climate control in buildings by dynamically regulating the heat transferred between a building’s interior and exterior. Infrastructure-scale additive manufacturing (AM) has the potential to reduce the resources needed for building construction. Combining these two technologies into a single building envelope would create a path towards more sustainable buildings. A test was conducted for the Federal Energy Management Program (FEMP) Energy Exchange training and trade show, in August 2021, to investigate a new building envelope design, termed the Empower Wall, that utilized an AIS and was constructed using AM. Model predictive control was implemented to manage operation of the Empower Wall in concert with the existing HVAC system. The prototype system demonstrated that the Empower Wall lowered total energy consumption and reduced the cost of energy used.</description><subject>Active insulation</subject><subject>Additive manufacturing</subject><subject>administrative management</subject><subject>Buildings</subject><subject>climate</subject><subject>energy conversion</subject><subject>Energy storage</subject><subject>energy transfer</subject><subject>heat</subject><subject>insulating materials</subject><subject>MATERIALS SCIENCE</subject><subject>Model predictive control</subject><subject>Peak reduction</subject><subject>prototypes</subject><subject>trade shows</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkM1OAyEURonRxFp9BTNx5WZGYBzKuLJp6k_SxI3GJUG4U2kYqMDU-PZSR9eubkLO_e7HQeic4Ipgwq42FTjlXS9dRTGlFSENp_UBmhA-a0tK6ewQTTBpWclbfH2MTmLcYIzrBrMJgmW_9Z8Qildp7U0xV8nsoDAuDlYm410Rv2KCvrCwgyDXxq0LqbX5ofLFoZMqDeHn2emi9xpssQ2gzRiUe6Xg7Sk66qSNcPY7p-jlbvm8eChXT_ePi_mqVLlNKqmumSJNp3lHaEcxJzMmpdSgpFKqAfIGwNhb1zCsZQusaVStKOfQagrXIOspuhhzfUxGRGUSqPfcwYFKIusg2UCGLkdoG_zHADGJ3kQF1koHfoiCZozWnNQ8o2xEVfAxBujENphehi9BsNjLFxvxJ1_s5YtRfl68HRch_3ZnIOzLZDKLCfsu2pv_Ir4BFOmTzw</recordid><startdate>20220815</startdate><enddate>20220815</enddate><creator>Atkins, Celeste</creator><creator>Hun, Diana</creator><creator>Im, Piljae</creator><creator>Post, Brian</creator><creator>Slattery, Bob</creator><creator>Iffa, Emishaw</creator><creator>Cui, Borui</creator><creator>Dong, Jin</creator><creator>Barnes, Abigail</creator><creator>Vaughan, Joshua</creator><creator>Roschli, Alex</creator><creator>Salonvaara, Mikael</creator><creator>Shrestha, Som</creator><creator>Jung, Sungkyun</creator><creator>Chesser, Phillip</creator><creator>Heineman, Jesse</creator><creator>Wang, Peter L.</creator><creator>Jackson, Amiee</creator><creator>Lapsa, Melissa Voss</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000000164746002</orcidid><orcidid>https://orcid.org/0000000299786503</orcidid><orcidid>https://orcid.org/0000000172595507</orcidid><orcidid>https://orcid.org/0000000307573197</orcidid><orcidid>https://orcid.org/0000000318991554</orcidid><orcidid>https://orcid.org/0000000214502250</orcidid><orcidid>https://orcid.org/0000000295242402</orcidid><orcidid>https://orcid.org/0000000213084632</orcidid><orcidid>https://orcid.org/0000000257531588</orcidid><orcidid>https://orcid.org/0000000264670711</orcidid><orcidid>https://orcid.org/000000021229657X</orcidid><orcidid>https://orcid.org/0000000183993797</orcidid></search><sort><creationdate>20220815</creationdate><title>Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control</title><author>Atkins, Celeste ; Hun, Diana ; Im, Piljae ; Post, Brian ; Slattery, Bob ; Iffa, Emishaw ; Cui, Borui ; Dong, Jin ; Barnes, Abigail ; Vaughan, Joshua ; Roschli, Alex ; Salonvaara, Mikael ; Shrestha, Som ; Jung, Sungkyun ; Chesser, Phillip ; Heineman, Jesse ; Wang, Peter L. ; Jackson, Amiee ; Lapsa, Melissa Voss</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-2d36c15fd8f12f208176aaadecaccc5e1bee66bf560da9e655c3c288e9d2e4ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Active insulation</topic><topic>Additive manufacturing</topic><topic>administrative management</topic><topic>Buildings</topic><topic>climate</topic><topic>energy conversion</topic><topic>Energy storage</topic><topic>energy transfer</topic><topic>heat</topic><topic>insulating materials</topic><topic>MATERIALS SCIENCE</topic><topic>Model predictive control</topic><topic>Peak reduction</topic><topic>prototypes</topic><topic>trade shows</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Atkins, Celeste</creatorcontrib><creatorcontrib>Hun, Diana</creatorcontrib><creatorcontrib>Im, Piljae</creatorcontrib><creatorcontrib>Post, Brian</creatorcontrib><creatorcontrib>Slattery, Bob</creatorcontrib><creatorcontrib>Iffa, Emishaw</creatorcontrib><creatorcontrib>Cui, Borui</creatorcontrib><creatorcontrib>Dong, Jin</creatorcontrib><creatorcontrib>Barnes, Abigail</creatorcontrib><creatorcontrib>Vaughan, Joshua</creatorcontrib><creatorcontrib>Roschli, Alex</creatorcontrib><creatorcontrib>Salonvaara, Mikael</creatorcontrib><creatorcontrib>Shrestha, Som</creatorcontrib><creatorcontrib>Jung, Sungkyun</creatorcontrib><creatorcontrib>Chesser, Phillip</creatorcontrib><creatorcontrib>Heineman, Jesse</creatorcontrib><creatorcontrib>Wang, Peter L.</creatorcontrib><creatorcontrib>Jackson, Amiee</creatorcontrib><creatorcontrib>Lapsa, Melissa Voss</creatorcontrib><creatorcontrib>Oak Ridge National Lab. 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(ORNL), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control</atitle><jtitle>Energy conversion and management</jtitle><date>2022-08-15</date><risdate>2022</risdate><volume>266</volume><issue>1</issue><spage>115823</spage><pages>115823-</pages><artnum>115823</artnum><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•An innovative building envelope called Empower Wall was designed and tested.•The smart wall integrates with both thermal energy storage and active insulation.•Model predictive control was implemented to optimize energy consumption and cost.•The prototype system demonstrated the ability for both energy and cost savings.
Buildings are one of the largest energy consumers worldwide, using large amounts of energy during their construction and for climate control during operation. Active insulation systems (AIS) have been shown to reduce the energy needed for climate control in buildings by dynamically regulating the heat transferred between a building’s interior and exterior. Infrastructure-scale additive manufacturing (AM) has the potential to reduce the resources needed for building construction. Combining these two technologies into a single building envelope would create a path towards more sustainable buildings. A test was conducted for the Federal Energy Management Program (FEMP) Energy Exchange training and trade show, in August 2021, to investigate a new building envelope design, termed the Empower Wall, that utilized an AIS and was constructed using AM. Model predictive control was implemented to manage operation of the Empower Wall in concert with the existing HVAC system. The prototype system demonstrated that the Empower Wall lowered total energy consumption and reduced the cost of energy used.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2022.115823</doi><orcidid>https://orcid.org/0000000164746002</orcidid><orcidid>https://orcid.org/0000000299786503</orcidid><orcidid>https://orcid.org/0000000172595507</orcidid><orcidid>https://orcid.org/0000000307573197</orcidid><orcidid>https://orcid.org/0000000318991554</orcidid><orcidid>https://orcid.org/0000000214502250</orcidid><orcidid>https://orcid.org/0000000295242402</orcidid><orcidid>https://orcid.org/0000000213084632</orcidid><orcidid>https://orcid.org/0000000257531588</orcidid><orcidid>https://orcid.org/0000000264670711</orcidid><orcidid>https://orcid.org/000000021229657X</orcidid><orcidid>https://orcid.org/0000000183993797</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Active insulation Additive manufacturing administrative management Buildings climate energy conversion Energy storage energy transfer heat insulating materials MATERIALS SCIENCE Model predictive control Peak reduction prototypes trade shows |
title | Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control |
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