Predictive Energy Management of a Building-Integrated Microgrid: A Case Study

Autor: Romain Mannini, Tejaswinee Darure, Julien Eynard, Stéphane Grieu

Publikováno v: Energies, Vol 17, Iss 6, p 1355 (2024)

The efficient integration of distributed energy resources (DERs) in buildings is a challenge that can be addressed through the deployment of multienergy microgrids (MGs). In this context, the Interreg SUDOE project IMPROVEMENT was launched at the end

Externí odkaz: https://doaj.org/article/69edc957135c4390980d2301c6d68093

Model Predictive Control for Microgrid Functionalities: Review and Future Challenges

Autor: Ana Estanqueiro, Stéphane Grieu, Felix Garcia-Torres, Ascension Zafra-Cabeza, Tejaswinee Darure, Carlos A. Silva

Publikováno v: idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Energies, Vol 14, Iss 1296, p 1296 (2021)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Energies; Volume 14; Issue 5; Pages: 1296

Renewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4835789e8c4b4e75da59d3325011eac

Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis

Autor: Joseph J. Yame, Tejaswinee Darure, Ye Wang, Frederic Hamelin, Vicenç Puig

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
6th IFAC Conference on Nonlinear Model Predictive Control, NMPC 2018
6th IFAC Conference on Nonlinear Model Predictive Control, NMPC 2018, Aug 2018, Madison, Wisconsin, United States. ⟨10.1016/j.ifacol.2018.11.023⟩
Recercat. Dipósit de la Recerca de Catalunya
instname
Digital.CSIC. Repositorio Institucional del CSIC

This paper proposes a distributed model predictive control strategy for a HVAC system that relies on its decomposition into subsystems based on the sensitivity analysis. An economic model predictive controller is implemented for every subsystem to op

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55954c3fc3e63f549aac1beb8eec4d57
http://hdl.handle.net/2117/125669

Model-based fault-tolerant control of VAV damper lock-in place failure in a multizone building

Autor: Joseph-Julien Yame, Frederic Hamelin, Tejaswinee Darure

Publikováno v: 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Nov 2016, Phuket, Thailand
ICARCV

International audience; This paper presents a model-based approach to fault-adaptive control for damper lock-in place failures in variable-air-volume (VAV) boxes in building heating, ventilation and air-conditioning systems. The fault-adaptive contro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0304c368547ab6bf74c89ee51ce0be3
https://hal.archives-ouvertes.fr/hal-01415872

A receding horizon control of Markov jump linear systems with imperfect state information and probabilistic state constraints

Autor: Shaikshavali Chitraganti, Samir Aberkane, Christophe Aubrun, Tejaswinee Darure

Publikováno v: 3rd Conference on Control and Fault-Tolerant Systems, SysTol 2016
3rd Conference on Control and Fault-Tolerant Systems, SysTol 2016, Sep 2016, Barcelone, Spain

International audience; A receding horizon control of discrete-time Markov jump linear systems with additive Gaussian measurement and process noise, and stochastic constraints is addressed. Given the availability of the underlying jump parameter, rec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b26760bbb8f546588d0acddd16ab87ed
https://doi.org/10.1109/systol.2016.7739816