Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control

Celeste Atkins; Diana Hun; Piljae Im; Brian Post; Bob Slattery; Emishaw Iffa; Borui Cui; Jin Dong; Abigail Barnes; Joshua Vaughan; Alex Roschli; Mikael Salonvaara; Som Shrestha; Sungkyun Jung; Phillip Chesser; Jesse Heineman; Peter L. Wang; Amiee Jackson; Melissa Voss Lapsa

doi:10.1016/j.enconman.2022.115823

Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control

Celeste Atkins, Diana Hun, Piljae Im, Brian Post, Bob Slattery, Emishaw Iffa, Borui Cui, Jin Dong, Abigail Barnes, Joshua Vaughan, Alex Roschli, Mikael Salonvaara, Som Shrestha, Sungkyun Jung, Phillip Chesser, Jesse Heineman, Peter L. Wang, Amiee Jackson, Melissa Voss Lapsa

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

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.

Original language	English
Article number	115823
Journal	Energy Conversion and Management
Volume	266
DOIs	https://doi.org/10.1016/j.enconman.2022.115823
State	Published - Aug 15 2022

Funding

This work was supported by the DOE Office of Energy Efficiency and Renewable Energy’s Federal Energy Management Program (FEMP), the Building Technologies Office (BTO) and the Advanced Manufacturing Office (AMO). A portion of the research used resources at the Manufacturing Demonstration Facility and the Building Technologies Research and Integration Center, both DOE-designated National User Facilities operated by the Oak Ridge National Laboratory. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). Jerald Atchley, Anthony Gehl, Matthew Sallas, and Nikolaos Tsiamis were integral to the construction and implementation of the Empower Wall. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan). This work was supported by the DOE Office of Energy Efficiency and Renewable Energy's Federal Energy Management Program (FEMP), the Building Technologies Office (BTO) and the Advanced Manufacturing Office (AMO). A portion of the research used resources at the Manufacturing Demonstration Facility and the Building Technologies Research and Integration Center, both DOE-designated National User Facilities operated by the Oak Ridge National Laboratory.

Keywords

Active insulation
Additive manufacturing
Buildings
Energy storage
Model predictive control
Peak reduction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.enconman.2022.115823

Cite this

Atkins, C., Hun, D., Im, P., Post, B., Slattery, B., Iffa, E., Cui, B., Dong, J., Barnes, A., Vaughan, J., Roschli, A., Salonvaara, M., Shrestha, S., Jung, S., Chesser, P., Heineman, J., Wang, P. L., Jackson, A., & Lapsa, M. V. (2022). Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control. Energy Conversion and Management, 266, Article 115823. https://doi.org/10.1016/j.enconman.2022.115823

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abstract = "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.",

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Atkins, C, Hun, D , Im, P , Post, B , Slattery, B, Iffa, E, Cui, B , Dong, J, Barnes, A, Vaughan, J , Roschli, A , Salonvaara, M , Shrestha, S, Jung, S, Chesser, P, Heineman, J, Wang, PL, Jackson, A & Lapsa, MV 2022, 'Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control', Energy Conversion and Management, vol. 266, 115823. https://doi.org/10.1016/j.enconman.2022.115823

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AU - Atkins, Celeste

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AU - Im, Piljae

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AU - Iffa, Emishaw

AU - Cui, Borui

AU - Dong, Jin

AU - Barnes, Abigail

AU - Vaughan, Joshua

AU - Roschli, Alex

AU - Salonvaara, Mikael

AU - Shrestha, Som

AU - Jung, Sungkyun

AU - Chesser, Phillip

AU - Heineman, Jesse

AU - Wang, Peter L.

AU - Jackson, Amiee

AU - Lapsa, Melissa Voss

PY - 2022/8/15

Y1 - 2022/8/15

N2 - 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.

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Empower Wall: Active insulation system leveraging additive manufacturing and model predictive control

Abstract

Funding

Keywords

UN SDGs

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