energy-saving buildings assessment through stochastic hybrid model-based evaluation
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Energy-saving Buildings Assessment through StochasticHybrid Model-based Evaluation
Davide Basile Felicita Di Giandomenico Stefania Gnesi
Istituto di Scienza e Tecnologia dell'Informazione �A. Faedo�,
Consiglio Nazionale delle Ricerche, ISTI-CNR, Pisa, Italy
i-Cities 2016, 9/2016
D.B. et al. (ISTI CNR) Smart Buildings i-Cities 2016 1 / 6
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Smart Buildings: challenges (1)
Energy management: relevant political, societal and technologicalconcern;
Reducing Energy consumption ⇒ Goal of IT systems;
Smart Buildings: energy optimization and facilities management ofintelligent buildings;
Examples: monitor and control energy supply and safety aspectsthrough sensor networks and energy sources � collect informationsfrom devices connected to Internet;
Applications: heating, cooling, ventilation, lighting, hot water system;
D.B. et al. (ISTI CNR) Smart Buildings i-Cities 2016 2 / 6
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Smart Buildings: challenges (2)
Challenges: sustainable energy saving and safe solutions � upgradelegacy systems;
Bene�ts:
costs,environment (reputation, avoid penalties),risks (price �uctuations, energy shortages);
40% of energy end-use in EU;
80% energy-usage in operational stage;
tools and methodologies to support decisions and design to reduceenergy consumption;
D.B. et al. (ISTI CNR) Smart Buildings i-Cities 2016 3 / 6
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Cyber-Physical Systems
Smart Buildings as CPS � physical and cyber parts;
Policies of energy consumption on the nodes:
Asynchronous messages, reducing number of messages, priorities;
Integration in the design of critical system
energy saving vs dependability;
Quantitative assessment to support design and decisions of policiesof energy management;
Stochastic model-based analysis,
abstract level;stochastic hybrid models;simulations
D.B. et al. (ISTI CNR) Smart Buildings i-Cities 2016 4 / 6
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Stochastic Model-based Analysis
case study � Railway System;
critical system: reliability vs energyconsumption;
Hybrid stochastic model � physical part,cyber part, stochastic aspects;
DPM threshold policy on-o�;
indicators of CE
D.B. et al. (ISTI CNR) Smart Buildings i-Cities 2016 5 / 6
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References
Basile, D., Chiaradonna, S., Di Giandomenico, F., Gnesi, S.: A stochasticmodel-based approach to analyse reliable energy-saving rail road switchheating systems. JRTPM (2016),
Basile, D., Chiaradonna, S., Di Giandomenico, F., Gnesi, S., Mazzanti, F.:Stochastic model-based analysis of energy consumption in a rail road switchheating system. SERENE 2015. LNCS 9274
Basile, D., Di Giandomenico, F., Gnesi, S.: Tuning energy consumptionstrategies in the railway domain: a model-based approach. In: ISOLA 2016
Basile, D., Di Giandomenico, F., Gnesi, S.: "Energy ConsumptionAssessment of Reliable Systems through Stochastic Model Based Analysis"in Green IT Engineering: Concepts, Models, Complex Systems Architectures,Volume 1, Springer Book series Studies in Systems, Decision and Control
Basile D, Di Giandomenico F., Gnesi S., Supporting the Design of IntelligentRailway Stations. I-CiTies 2015 -CINI Annual Conference on ICT for SmartCities &Communities 2015
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