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Energy management of a building cooling system with thermal storage: a randomized solution with feedforward disturbance compensation

Daniele Ioli, Alessandro Falsone, Maria Prandini
2016 2016 American Control Conference (ACC)  
We consider a cooling system that comprises a building composed of multiple thermally conditioned zones, a chiller plant, and a thermal storage unit.  ...  To this purpose, we can appropriately set the temperatures profiles in the zones of the building and the cooling energy exchange with the storage.  ...  INTRODUCTION In this paper we address the optimal energy management of a building cooling system that comprises some thermally conditioned zones in a building, a chiller plant that converts electrical  ... 
doi:10.1109/acc.2016.7525268 dblp:conf/amcc/IoliFP16 fatcat:diq6jaegwfczli4iob3ulhkiby

A SCIENCE MAPPING APPROACH BASED REVIEW OF MODEL PREDICTIVE CONTROL FOR SMART BUILDING OPERATION MANAGEMENT

Jun Wang, Jianli Chen, Yuqing Hu
2022 Journal of Civil Engineering and Management  
Model predictive control (MPC) for smart building operation management has become an increasingly popular and important topic in the academic community.  ...  research with future trends.  ...  Using RC models to model the thermal response of buildings, Zhuang et al. (2018) developed the MPC with a feedforward structure to minimize building energy consumption, which was validated with real  ... 
doi:10.3846/jcem.2022.17566 fatcat:vostrrwb5vgwjajo44r76asboe

2021 Index IEEE Transactions on Energy Conversion Vol. 36

2021 IEEE transactions on energy conversion  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TEC Sept. 2021 1766-1775 Battery management systems A Decentralized Automatic Load Power Allocation Strategy for Hybrid Energy Storage System.  ...  Flywheel Energy Storage System for Optimal Power and Energy Ratings of Flywheel.  ... 
doi:10.1109/tec.2022.3143772 fatcat:llzxs3dhijac3d7gthnkart2c4

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

2019 IEEE Transactions on Industrial Informatics  
., +, TII Dec. 2019 6551-6559 Cooling Comparative Performance Analysis of Induction and Synchronous Reluc- tance Motors in Chiller Systems for Energy Efficient Buildings.  ...  ., +, TII May 2019 2892-2904 Energy Management of PV-Storage Systems: Policy Approximations Using Machine Learning.  ... 
doi:10.1109/tii.2020.2968165 fatcat:utk3ywxc6zgbdbfsys5f4otv7u

A survey on control of electric power distributed generation systems for microgrid applications

Allal M. Bouzid, Josep M. Guerrero, Ahmed Cheriti, Mohamed Bouhamida, Pierre Sicard, Mustapha Benghanem
2015 Renewable & Sustainable Energy Reviews  
A survey on control of electric power distributed generation systems for microgrid applications," Renewable & Sustainable Energy Reviews, 2015.  ...  It is a hybrid system simulator, including photovoltaic panels, wind turbines, thermal solar systems, low energy buildings and HVAC systems, renewable energy systems, cogeneration, fuel cells, and other  ...  The use of DPGS of energy systems makes no sense without using distributed storage systems to cope with the energy balances [5] .  ... 
doi:10.1016/j.rser.2015.01.016 fatcat:izfy7lu3rbfwbd4avseks4yteu

2013 Index IEEE Transactions on Industrial Electronics Vol. 60

2013 IEEE transactions on industrial electronics (1982. Print)  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Kempitiya, A., +, TIE Dec. 2013 5639-5647 Energy management systems Building Integrated Photovoltaic System With Energy Storage and Smart Grid Communication.  ...  ., +, TIE Aug. 2013 2997-3006 Piezoelectric Fan Cooling: A Novel High Reliability Electric Machine Thermal Management Solution. Gilson, G.  ... 
doi:10.1109/tie.2013.2281744 fatcat:afui5p3njvhu3nknwgwkv2vd64

Artificial Neural Network Applications for Energy Management in Buildings: Current Trends and Future Directions

Panagiotis Michailidis, Iakovos Michailidis, Socratis Gkelios, Elias Kosmatopoulos
2024 Energies  
ANNs have become a cornerstone in efficiently managing building energy management systems (BEMSs) as they offer advanced capabilities for prediction, control, and optimization.  ...  This paper offers a detailed review of recent, significant research in this domain, highlighting the use of ANNs in optimizing key energy systems, such as HVAC systems, domestic water heating (DHW) systems  ...  , but also aligned with the broader goals of sustainability and energy conservation.  ... 
doi:10.3390/en17030570 fatcat:xh7vpanmm5fa3jkdt72rtltsm4

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System; TIE March 2020 2076-2085 Jiang, J., Mohagheghi, A., and Moallem, M., Energy-Efficient Supplemental LED Lighting Control  ...  for a Proof-of-Concept Greenhouse System; TIE April 2020 3033-3042 Jiang, J., see Ma, J., TIE July 2020 5687-5695 Jiang, J., see Wang, J., TIE Aug. 2020 6864-6873 Jiang, J., see Wang, D., TIE Dec. 2020  ...  ., +, TIE Oct. 2020 8931-8935 Building management systems Application of Economical Building Management System for Singapore Commercial Building.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

2020 Index IEEE Transactions on Smart Grid Vol. 11

2020 IEEE Transactions on Smart Grid  
. , TSG Sept. 2020 4390-4402 Hosseinipour, A., and Hojabri, H., Small-Signal Stability Analysis and Active Damping Control of DC Microgrids Integrated With Distributed Electric Springs; 3737-3747 Hou  ...  4321-4330 Wang, M., see Li, J., TSG Nov. 2020 4760-4772 Wang, M., see Dong, C., TSG Nov. 2020 5084-5098 Wang, M., see Chang, F., Learning Algorithm for Volt-VAR Control in Power Distribution Systems  ...  Arif, A., +, TSG Jan. 2020 565-576 An Energy Management System for Isolated Microgrids With Thermal Energy Resources.  ... 
doi:10.1109/tsg.2020.3044227 fatcat:qp5iogfnrnambc3qzuwvj4aega

Cloud-edge cooperative model and closed-loop control strategy for the price response of large-scale air conditioners considering data packet dropouts

Aihua Jiang, Hua Wei, Jun Deng, Hua Qin
2020 IEEE Transactions on Smart Grid  
Considering the unreliability of network transmission, data packet dropouts (/or delays and even downtime) are inevitable and usually random in the transmission, and a dual-feedback closed-loop control  ...  NBS Nash bargaining solution Manuscript  ...  Coordinated energy management based on a multi-agent control system is studied in either centralized or decentralized manners [21] , [22] , [23] .  ... 
doi:10.1109/tsg.2020.2985741 fatcat:tvipjlutezg55junl4uzwsql6q

A Survey of Control Issues in Nanopositioning

Santosh Devasia, Evangelos Eleftheriou, S. O. Reza Moheimani
2007 IEEE Transactions on Control Systems Technology  
Nanopositioners are precision mechatronic systems designed to move objects over a small range with a resolution down to a fraction of an atomic diameter.  ...  This paper presents an overview of nanopositioning technologies and devices emphasizing the key role of advanced control techniques in improving precision, accuracy, and speed of operation of these systems  ...  16 . 1) Feedforward Hysteresis Compensation: Several methods have been proposed to deal with hysteresis in piezoceramics, most of which are based on feedforward inverse compensation schemes, which invert  ... 
doi:10.1109/tcst.2007.903345 fatcat:mhyo47fyr5b3tof2i7eozen4bm

Design for Precision: Current Status and Trends

P. Schellekens, N. Rosielle, H. Vermeulen, M. Vermeulen, S. Wetzels, W. Pril
1998 CIRP annals  
Future developments in Precision Engineering require nanometre-or even subnanometre positioningand measuring accuracy, demanding new design concepts with integrated control and error compensation systems  ...  and a target value of the quantity.  ...  An analytical solution to the amount of damping in modes is presented using a modal strain energy approach.  ... 
doi:10.1016/s0007-8506(07)63243-0 fatcat:32xnhiqwnfhpji7e6cllz7tvq4

A Survey on Home Energy Management

Joaquim Leitao, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
2020 IEEE Access  
As a whole, buildings are one of the major energy consumption sectors. Hence, improving energy efficiency in buildings will result in economical and environmental gains.  ...  This work aims to survey the most recent literature on home energy management systems, providing an aggregated and unified perspective in the context of residential buildings.  ...  Indoor temperature management is also common, and associated to heating or cooling systems.  ... 
doi:10.1109/access.2019.2963502 fatcat:2xqhdabctnephfs5kkbihopue4

Program

2021 2021 IEEE Electrical Power and Energy Conference (EPEC)  
After the session, you'll also have the option to submit a brief writing sample to receive individual feedback.  ...  Energy based Permanent Magnet Synchronous Motor (PMSM) drive system, cooling system, electric and thermal system and vehicle control systems are modeled in MATLAB environment.  ...  This paper proposes an energy saving scheme for cooling water systems in central HVAC systems by employing indoor and outdoor environmental conditions of the considered building.  ... 
doi:10.1109/epec52095.2021.9621539 fatcat:epghnj4fk5exrc5jggotiinpnq

Subspace identification of poorly excited industrial systems

Samuel Privara, Jiri Cigler, Zdenek Vana, Lukas Ferkl, Michael Sebek
2010 49th IEEE Conference on Decision and Control (CDC)  
Experimental analysis of model predictive control for an energy efficient building heating system.  ...  Optimization of predicted mean vote index within model predictive control framework: Computationally tractable solution. Energy and Buildings, 52(0):39 -49, 2012.  ...  systems, research and application of intelligent algorithms with influence on energy consumption of buildings and living houses'.  ... 
doi:10.1109/cdc.2010.5717585 dblp:conf/cdc/PrivaraCVFS10 fatcat:rj37yg4y4jbkhpranl4vc7sybu
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