First Experiences with Coupled Dynamic Simulation of Building Energy Systems and the District Heating Network

Jari Shemeikka, Krzysztof Klobut, Jorma Heikkinen, Kari Sipilä, Miika Rämä

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The concept of distributed generation of energy attracts increasing attention nowadays. Such an environment requires new tools to handle the sophisticated multi-production and multi-consumption phenomena in the transmission networks to enhance the quality of the design and to optimize the use of the energy system. The distributed computing with certain rules enables totally new dynamic simulations for the energy system. For example buildings, district heating networks and power plants can be simulated synchronized as a whole system. Our approach utilizes generic ICT-components and interfaces used in distributed computing environment to handle coupling challenge between different simulation platforms. The distributed solution environment can be run over the Internet or LAN-networks. Using distributed simulation considerably accelerates computation, but simultaneously some time is spent on communication between the simulators and the integrator program. It was found that inter-simulator communication of data may take approximately 20-25 % of the total simulation time. This was based on an assumption that more intensive computing (short time step) was required during the hot water tapping peaks. The time share of communication may be even higher if simulated case has frequent energy peaks and a high degree of accuracy for the results is required. For optimal performance in the future, the models should be able to recognize steep gradients and adjust the time step accordingly.
Original languageEnglish
Title of host publicationProceedings of 9th REHVA World Congress Clima 2007
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
Event9th Rehva World Congress, Clima 2007 - WellBeing Indoors - Helsinki, Finland
Duration: 10 Jun 200714 Jun 2007
Conference number: 9

Conference

Conference9th Rehva World Congress, Clima 2007 - WellBeing Indoors
Abbreviated titleCLIMA 2007
CountryFinland
CityHelsinki
Period10/06/0714/06/07

Fingerprint

District heating
Distributed computer systems
Communication
Computer simulation
Simulators
Electric power transmission networks
Distributed power generation
Local area networks
Interfaces (computer)
Power plants
Internet
Water

Keywords

  • distributed simulation
  • building
  • district heating
  • thermohydraulic modelling
  • dynamic simulation

Cite this

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title = "First Experiences with Coupled Dynamic Simulation of Building Energy Systems and the District Heating Network",
abstract = "The concept of distributed generation of energy attracts increasing attention nowadays. Such an environment requires new tools to handle the sophisticated multi-production and multi-consumption phenomena in the transmission networks to enhance the quality of the design and to optimize the use of the energy system. The distributed computing with certain rules enables totally new dynamic simulations for the energy system. For example buildings, district heating networks and power plants can be simulated synchronized as a whole system. Our approach utilizes generic ICT-components and interfaces used in distributed computing environment to handle coupling challenge between different simulation platforms. The distributed solution environment can be run over the Internet or LAN-networks. Using distributed simulation considerably accelerates computation, but simultaneously some time is spent on communication between the simulators and the integrator program. It was found that inter-simulator communication of data may take approximately 20-25 {\%} of the total simulation time. This was based on an assumption that more intensive computing (short time step) was required during the hot water tapping peaks. The time share of communication may be even higher if simulated case has frequent energy peaks and a high degree of accuracy for the results is required. For optimal performance in the future, the models should be able to recognize steep gradients and adjust the time step accordingly.",
keywords = "distributed simulation, building, district heating, thermohydraulic modelling, dynamic simulation",
author = "Jari Shemeikka and Krzysztof Klobut and Jorma Heikkinen and Kari Sipil{\"a} and Miika R{\"a}m{\"a}",
note = "Project: 3786",
year = "2007",
language = "English",
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Shemeikka, J, Klobut, K, Heikkinen, J, Sipilä, K & Rämä, M 2007, First Experiences with Coupled Dynamic Simulation of Building Energy Systems and the District Heating Network. in Proceedings of 9th REHVA World Congress Clima 2007. 9th Rehva World Congress, Clima 2007 - WellBeing Indoors , Helsinki, Finland, 10/06/07.

First Experiences with Coupled Dynamic Simulation of Building Energy Systems and the District Heating Network. / Shemeikka, Jari; Klobut, Krzysztof; Heikkinen, Jorma; Sipilä, Kari; Rämä, Miika.

Proceedings of 9th REHVA World Congress Clima 2007. 2007.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Shemeikka, Jari

AU - Klobut, Krzysztof

AU - Heikkinen, Jorma

AU - Sipilä, Kari

AU - Rämä, Miika

N1 - Project: 3786

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N2 - The concept of distributed generation of energy attracts increasing attention nowadays. Such an environment requires new tools to handle the sophisticated multi-production and multi-consumption phenomena in the transmission networks to enhance the quality of the design and to optimize the use of the energy system. The distributed computing with certain rules enables totally new dynamic simulations for the energy system. For example buildings, district heating networks and power plants can be simulated synchronized as a whole system. Our approach utilizes generic ICT-components and interfaces used in distributed computing environment to handle coupling challenge between different simulation platforms. The distributed solution environment can be run over the Internet or LAN-networks. Using distributed simulation considerably accelerates computation, but simultaneously some time is spent on communication between the simulators and the integrator program. It was found that inter-simulator communication of data may take approximately 20-25 % of the total simulation time. This was based on an assumption that more intensive computing (short time step) was required during the hot water tapping peaks. The time share of communication may be even higher if simulated case has frequent energy peaks and a high degree of accuracy for the results is required. For optimal performance in the future, the models should be able to recognize steep gradients and adjust the time step accordingly.

AB - The concept of distributed generation of energy attracts increasing attention nowadays. Such an environment requires new tools to handle the sophisticated multi-production and multi-consumption phenomena in the transmission networks to enhance the quality of the design and to optimize the use of the energy system. The distributed computing with certain rules enables totally new dynamic simulations for the energy system. For example buildings, district heating networks and power plants can be simulated synchronized as a whole system. Our approach utilizes generic ICT-components and interfaces used in distributed computing environment to handle coupling challenge between different simulation platforms. The distributed solution environment can be run over the Internet or LAN-networks. Using distributed simulation considerably accelerates computation, but simultaneously some time is spent on communication between the simulators and the integrator program. It was found that inter-simulator communication of data may take approximately 20-25 % of the total simulation time. This was based on an assumption that more intensive computing (short time step) was required during the hot water tapping peaks. The time share of communication may be even higher if simulated case has frequent energy peaks and a high degree of accuracy for the results is required. For optimal performance in the future, the models should be able to recognize steep gradients and adjust the time step accordingly.

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KW - thermohydraulic modelling

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