Upgrade of a typical office building automation system for enabling open energy management services

Vašak, Mario; Starcic, Antonio; Lešić, Vinko; Martinčević, Anita

doi:10.1109/sst.2017.8188716

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…The 13-floors skyscraper building of University of Zagreb Faculty of Electrical Engineering and Computing, which is also a protected cultural heritage [30], is here used as a case study. The building consists of 248 controllable zones equipped with two-pipe fan coil units (FCUs) for seasonal heating or cooling and is equipped with BEMS [31]. The building has roughly 10.000 m 2 of useful area and zones windows are oriented either to the south or to the north.…”

Section: Validation Of the Developed Building Energy Management Systemmentioning

confidence: 99%

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Vašak

Banjac

Hure

et al. 2021

IEEE Trans. Energy Convers.

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Modular building energy management strategy based on a three-level hierarchical model predictive control is proposed in the paper. Building zones, central medium conditioning and microgrid subsystems are controlled independently by individual linear and nonlinear model predictive controllers, and further integrated together as levels of hierarchical coordination control structure based on price-consumption information exchange. The three-level coordination provides a holistic energy management strategy and enables significant demand response ancillary services for buildings as prosumers, while retaining the independence of required expertise in very different building subsystems. The approach is applied for daily operation scheduling of a full-scale building consisting of 248 offices. Models of building subsystems are obtained by identification procedures on measurement data. Compared to rule-based control, detailed realistic simulations show that the overall building operation cost for typical days in summer is reduced by 9-12% for level-by-level energy-optimal and by 15-24% for price-optimal, coordinated operation. The application of predictive control in the proposed way also improves the indoor comfort substantially.

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Section: Validation Of the Developed Building Energy Management Systemmentioning

confidence: 99%

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Vašak

Banjac

Hure

et al. 2021

IEEE Trans. Energy Convers.

Self Cite

View full text Add to dashboard Cite

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“…Recently, the demand of BEMS systems is increasing however the scope of BEMS implementation can vary from case to case [ 8 ]. A BEMS system can have modularity [ 9 ], hierarchical design [ 10 ], comfort prioritized building automation [ 11 ], smart grid integration possibilities [ 9 ], agent-based control [ 12 ]. These cited work are good from their own application goal point of view however in order to make high performance buildings the BEMS systems must be robust, modular, and hierarchical along with features of automatic load aggregation, aggregator control access to outside, automatic comfort control, resident’s data protection mechanisms, routines for information exchange, smart bot/smart grid integration possibilities etc.…”

Section: Introductionmentioning

confidence: 99%

“…The total number of heat pump installations have surpassed 1 million in Finland [ 14 ]. Heat pumps are an important technology for the transformation of space heating sector because first, heat pumps are energy efficient; on average, space heating using heat pumps is 300% efficient, meaning that, 3 kW of thermal energy is generated by heat pump for each kW for electricity consumed ([ 2 ], p. 16, [ 9 , 10 ]). Second, heat pumps are sustainable; energy consumption from electricity mix by replacing fossil fuel-based district heating can help to reduce CO 2 emissions reduction in different scenarios [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration

Sharma

Rehu

Känsälä

et al. 2021

Sensors

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This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in buildings and peak power problems. Buildings are critical component of smart grid environments and bottom-up BEMS solutions are need of the hour to optimize the consumption and to provide consumption side flexibility. This system is able to aggregate the controls of the all-controllable resources in building to realize its flexible power capacity. This system provides a solution for consumer to aggregate the controls of ‘behind-the-meter’ small loads in short response and provide ‘deep’ demand-side flexibility. This system is capable of discovery, status check, control and management of networked loads. The main novelty of this solution is that it can handle the heterogeneity of the installed hardware system along with time bound changes in the load device network and its scalability; resulting in low maintenance requirements after deployment. The control execution latency (including data logging) of this BEMS system for an external control signal is less than one second per connected load. In addition, the system is capable of overriding the external control signal in order to maintain consumer coziness within the comfort temperature thresholds. This system provides a way forward in future for the estimation of the energy stored in the buildings in the form of heat/temperature and use buildings as temporary batteries when electricity supply is constrained or abundant.

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Universal Smart Lighting System

Saranya,

Duraiarasu,

Manoj

2023

2023 IEEE Sustainable Smart Lighting World Conference &Amp; Expo (LS18)

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Upgrade of a typical office building automation system for enabling open energy management services

Cited by 7 publications

References 7 publications

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings

An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration

Universal Smart Lighting System

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