A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building

Vahab Rostampour Samarin; Martin Bloemendal; Tamas Keviczky

A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building

Vahab Rostampour Samarin, Martin Bloemendal, Tamas Keviczky

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

This paper presents a complete model of a building heating and cooling equipment and a ground source heat pump (GSHP) coupled with an aquifer thermal energy storage (ATES) system. This model contains detailed
mathematical representations of building thermal dynamics, ATES system dynamics, heat exchanger (HE), and GSHP together with heating and cooling circulated water pipelines. In particular, we derive a static (steadystate)
model for a countercurrent HE and an electrical GSHP as a function of water flow rates and input/output water temperatures in both sides of HE and GSHP to determine the amount of heat transfer from ATES to HE then HE to GSHP, and vice versa. We then develop a model predictive control framework to keep track of the desired building zone temperature, while meeting operational constraints. In such a framework, a finite-horizon mixed-integer nonlinear optimization problem is solved at each sampling time. A simulation study illustrates
the functioning of our proposed predictive model.

Original language	English
Title of host publication	Proceedings 12th IEA Heat Pump Conference
Publisher	Stichting HPC 2017
Number of pages	12
ISBN (Print)	978-90-9030412-0
Publication status	Published - 2017
Event	12th IEA Heat Pump Conference - Rotterdam, Netherlands Duration: 15 May 2017 → 18 May 2017 Conference number: 12 http://hpc2017.org/

Conference

Conference	12th IEA Heat Pump Conference
Country/Territory	Netherlands
City	Rotterdam
Period	15/05/17 → 18/05/17
Internet address	http://hpc2017.org/

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Bloemendal et al 2017 HPC-O.2.7.1-Improved-performance-of-Heat-Pumps-helps-to-use-full-potentialFinal published version, 967 KB

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title = "A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building",

abstract = "This paper presents a complete model of a building heating and cooling equipment and a ground source heat pump (GSHP) coupled with an aquifer thermal energy storage (ATES) system. This model contains detailedmathematical representations of building thermal dynamics, ATES system dynamics, heat exchanger (HE), and GSHP together with heating and cooling circulated water pipelines. In particular, we derive a static (steadystate)model for a countercurrent HE and an electrical GSHP as a function of water flow rates and input/output water temperatures in both sides of HE and GSHP to determine the amount of heat transfer from ATES to HE then HE to GSHP, and vice versa. We then develop a model predictive control framework to keep track of the desired building zone temperature, while meeting operational constraints. In such a framework, a finite-horizon mixed-integer nonlinear optimization problem is solved at each sampling time. A simulation study illustratesthe functioning of our proposed predictive model.",

author = "{Rostampour Samarin}, Vahab and Martin Bloemendal and Tamas Keviczky",

year = "2017",

language = "English",

isbn = "978-90-9030412-0 ",

booktitle = "Proceedings 12th IEA Heat Pump Conference",

publisher = "Stichting HPC 2017",

note = "12th IEA Heat Pump Conference ; Conference date: 15-05-2017 Through 18-05-2017",

url = "http://hpc2017.org/",

}

A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building. / Rostampour Samarin, Vahab; Bloemendal, Martin ; Keviczky, Tamas.
Proceedings 12th IEA Heat Pump Conference. Stichting HPC 2017, 2017.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building

AU - Rostampour Samarin, Vahab

AU - Bloemendal, Martin

AU - Keviczky, Tamas

N1 - Conference code: 12

PY - 2017

Y1 - 2017

N2 - This paper presents a complete model of a building heating and cooling equipment and a ground source heat pump (GSHP) coupled with an aquifer thermal energy storage (ATES) system. This model contains detailedmathematical representations of building thermal dynamics, ATES system dynamics, heat exchanger (HE), and GSHP together with heating and cooling circulated water pipelines. In particular, we derive a static (steadystate)model for a countercurrent HE and an electrical GSHP as a function of water flow rates and input/output water temperatures in both sides of HE and GSHP to determine the amount of heat transfer from ATES to HE then HE to GSHP, and vice versa. We then develop a model predictive control framework to keep track of the desired building zone temperature, while meeting operational constraints. In such a framework, a finite-horizon mixed-integer nonlinear optimization problem is solved at each sampling time. A simulation study illustratesthe functioning of our proposed predictive model.

AB - This paper presents a complete model of a building heating and cooling equipment and a ground source heat pump (GSHP) coupled with an aquifer thermal energy storage (ATES) system. This model contains detailedmathematical representations of building thermal dynamics, ATES system dynamics, heat exchanger (HE), and GSHP together with heating and cooling circulated water pipelines. In particular, we derive a static (steadystate)model for a countercurrent HE and an electrical GSHP as a function of water flow rates and input/output water temperatures in both sides of HE and GSHP to determine the amount of heat transfer from ATES to HE then HE to GSHP, and vice versa. We then develop a model predictive control framework to keep track of the desired building zone temperature, while meeting operational constraints. In such a framework, a finite-horizon mixed-integer nonlinear optimization problem is solved at each sampling time. A simulation study illustratesthe functioning of our proposed predictive model.

UR - http://resolver.tudelft.nl/uuid:95255ef7-7267-421a-b3ea-7b701c6064d9

M3 - Conference contribution

SN - 978-90-9030412-0

BT - Proceedings 12th IEA Heat Pump Conference

PB - Stichting HPC 2017

T2 - 12th IEA Heat Pump Conference

Y2 - 15 May 2017 through 18 May 2017

ER -

A model predictive framework of Ground Source Heat Pump coupled with Aquifer Thermal Energy Storage System in heating and cooling equipment of a building

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