Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Krzysztof Arendt"'
Autor:
Anders Clausen, Krzysztof Arendt, Aslak Johansen, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard, Christian T. Veje, Bo Nørregaard Jørgensen
Publikováno v:
Energy Informatics, Vol 4, Iss S2, Pp 1-19 (2021)
Abstract Model Predictive Control (MPC) can be used in the context of building automation to improve energy efficiency and occupant comfort. Ideally, the MPC algorithm should consider current- and planned usage of the controlled environment along wit
Externí odkaz:
https://doaj.org/article/8ba547d4df6544ef822bbe4b16911f24
Publikováno v:
Energies, Vol 12, Iss 9, p 1601 (2019)
Faults and anomalies in buildings are among the main causes of building energy waste and occupant discomfort. An effective automatic fault detection and diagnosis (FDD) process in buildings can therefore save a significant amount of energy and improv
Externí odkaz:
https://doaj.org/article/7fe4de264ebb4f5ea2ef46dd64e80f75
Publikováno v:
Grzegorz Stefański
The real-time processing of time series signals is a critical issue for many real-life applications. The idea of real-time processing is especially important in audio domain as the human perception of sound is sensitive to any kind of disturbance in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55c43f721207d9e5cae87e7cc927561a
Publikováno v:
Yang, T, Filonenko, K, Arendt, K & Veje, C 2020, Implementation and performance analysis of a multi-energy building emulator . in 2020 6th IEEE International Energy Conference (ENERGYCon) . IEEE, pp. 451-456, 6th IEEE International Energy Conference (ENERGYCon) 2020, Gammarth, Tunisia, 28/09/2020 . https://doi.org/10.1109/ENERGYCon48941.2020.9236623
An accurate and fast model is essential for implementation of model predictive control (MPC) in building management systems to reduce the load on electric grid without sacrificing occupant comfort. In this paper, an open source emulation model (made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de12a6c52327291b19962d6d6f56db1a
https://portal.findresearcher.sdu.dk/da/publications/542278b3-6417-46c8-99ea-ee2fcc8b787d
https://portal.findresearcher.sdu.dk/da/publications/542278b3-6417-46c8-99ea-ee2fcc8b787d
Autor:
Krzysztof Arendt, Christian Veje, Elena Markoska, Fisayo Caleb Sangogboye, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Muhyiddine Jradi, Bo Nørregaard Jørgensen
Publikováno v:
Jradi, M, Arendt, K, Sangogboye, F C, Mattera, C G, Markoska, E, Kjærgaard, M B, Veje, C T & Jørgensen, B N 2018, ' ObepME : An online building energy performance monitoring and evaluation tool to reduce energy performance gaps ', Energy and Buildings, vol. 166, pp. 196-209 . https://doi.org/10.1016/j.enbuild.2018.02.005
A major challenge facing the buildings sector is the absence of continuous commissioning and the lack of performance monitoring and evaluation leading to buildings energy performance gaps between predicted and actual measured performance. Aiming to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76c4c9c89e0c6968cdd64fcea851923b
https://doi.org/10.1016/j.enbuild.2018.02.005
https://doi.org/10.1016/j.enbuild.2018.02.005
Autor:
Mikkel Baun Kjærgaard, Krzysztof Arendt, Christian Veje, Ashok Singh, Fisayo Caleb Sangogboye, Bo Nørregaard Jørgensen
Publikováno v:
Sangogboye, F C, Arendt, K, Singh, A K, Veje, C, Kjærgaard, M B & Jørgensen, B N 2017, ' Performance comparison of occupancy count estimation and prediction with common versus dedicated sensors for building model predictive control ', Building Simulation, vol. 10, no. 6, pp. 829–843 . https://doi.org/10.1007/s12273-017-0397-5
Model predictive control is a promising approach to optimize the operation of building systems and provide demand-response functionalities without compromising indoor comfort. The performance of model predictive control relies, among other things, on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08457a22d6a2a73a767e79dac100bac6
https://doi.org/10.1007/s12273-017-0397-5
https://doi.org/10.1007/s12273-017-0397-5
Autor:
Iago Cupeiro Figueroa, David Blum, Juraj Oravec, Enric Perarnau Ollé, Michael Wetter, Javier Arroyo, Krzysztof Arendt, Ján Drgoňa, Donghun Kim, Lieve Helsen, Draguna Vrabie
Publikováno v:
Annual Reviews in Control
Drgoňa, J, Arroyo, J, Cupeiro Figueroa, I, Blum, D, Arendt, K, Kim, D, Ollé, E P, Oravec, J, Wetter, M, Vrabie, D L & Helsen, L 2020, ' All you need to know about model predictive control for buildings ', Annual Reviews in Control, vol. 50, pp. 190-232 . https://doi.org/10.1016/j.arcontrol.2020.09.001
Drgoňa, J, Arroyo, J, Cupeiro Figueroa, I, Blum, D, Arendt, K, Kim, D, Ollé, E P, Oravec, J, Wetter, M, Vrabie, D L & Helsen, L 2020, ' All you need to know about model predictive control for buildings ', Annual Reviews in Control, vol. 50, pp. 190-232 . https://doi.org/10.1016/j.arcontrol.2020.09.001
Author(s): Drgoňa, J; Arroyo, J; Cupeiro Figueroa, I; Blum, D; Arendt, K; Kim, D; Olle, EP; Oravec, J; Wetter, M; Vrabie, DL; Helsen, L | Abstract: It has been proven that advanced building control, like model predictive control (MPC), can notably r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::986d318373db034d68ff592f60e6eeff
Autor:
Krzysztof Arendt, Aslak Johansen, Claudio Giovanni Mattera, Bo Nørregaard Jørgensen, Muhyiddine Jradi, Christian Veje, Mikkel Baun Kjærgaard, Anders Clausen
Publikováno v:
Arendt, K, Clausen, A, Mattera, C G, Jradi, M, Johansen, A, Veje, C, Kjærgaard, M B & Jørgensen, B N 2020, Multi-Objective Model Predictive Control Framework for Buildings . in V Corrado, E Fabrizio, A Gasparella & F Patuzzi (eds), Proceedings of building simulation 2019 : 16th IBPSA International conference and exhibition . International Building Performance Simulation Association, Proceedings of the International Building Performance Simulation Association, pp. 2779-2786, 16th IBPSA International Conference and Exhibition Building Simulation, Rome, Italy, 02/09/2019 . https://doi.org/10.26868/25222708.2019.210156
The aim of this paper is to present the implementation and performance of an MPC framework based on a multi-objective genetic algorithm. The framework optimizes building control by firstly identifying the Pareto frontier with respect to multiple obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eff01ce64862d7c21c6b8a46c6022a8
https://findresearcher.sdu.dk:8443/ws/files/149704237/ID_10156_final.pdf
https://findresearcher.sdu.dk:8443/ws/files/149704237/ID_10156_final.pdf
Autor:
Krzysztof Arendt, Christian Veje
Publikováno v:
Arendt, K & Veje, C 2020, MShoot: an Open Source Framework for Multiple Shooting MPC in Buildings . in V Corrado, E Fabrizio, A Gasparella & F Patuzzi (eds), Proceedings of Building Simulation 2019 : 16th IBPSA International Conference and Exhibition . International Building Performance Simulation Association, Proceedings of the International Building Performance Simulation Association, vol. 16, pp. 2787-2794, 16th IBPSA International Conference and Exhibition Building Simulation, Rome, Italy, 02/09/2019 . https://doi.org/10.26868/25222708.2019.210157
The paper presents a new open source MPC framework for building operation based on the multiple shooting method, called MShoot. The framework is suitable for both physical and data-driven models, and allows to connect models through one of the three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b5e86492b54aa5cb2531d599866081
https://findresearcher.sdu.dk:8443/ws/files/149704024/ID_10157_final.pdf
https://findresearcher.sdu.dk:8443/ws/files/149704024/ID_10157_final.pdf
Publikováno v:
Trothe, M, Shaker, H R, Jradi, M & Arendt, K 2019, ' Fault Isolability Analysis and Optimal Sensor Placement for Fault Diagnosis in Smart Buildings ', Energies, vol. 12, no. 9, 1601 . https://doi.org/10.3390/en12091601
Energies
Volume 12
Issue 9
Pages: 1601
Energies, Vol 12, Iss 9, p 1601 (2019)
Energies
Volume 12
Issue 9
Pages: 1601
Energies, Vol 12, Iss 9, p 1601 (2019)
Faults and anomalies in buildings are among the main causes of building energy waste and occupant discomfort. An effective automatic fault detection and diagnosis (FDD) process in buildings can therefore save a significant amount of energy and improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a99dc4f557b2d9fe457f6fcd00a707d3
https://findresearcher.sdu.dk:8443/ws/files/156436408/energies_12_01601_v2.pdf
https://findresearcher.sdu.dk:8443/ws/files/156436408/energies_12_01601_v2.pdf