Intelligent Hybrid Control Model for Lighting Systems Using Constraint-Based Optimisation

Mady, Alie El‐Din; Boubekeur, Menouer; Provan, Gregory; Ryan, Conor; Brown, Kenneth N.

doi:10.1007/978-3-642-13161-5_31

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…The smart city concepts can be applied at different scales. These could be the indoor or block scale [9,10], city scale, or regional scale [11]. Depending on the scale, a different type, amount and quality of sensor data is needed.…”

Section: Related Researchmentioning

confidence: 99%

Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland

Wojnicki

Kotulski

2018

Sustainability

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Abstract:The deployment of dynamic street lighting, which adjusts lighting levels to fulfill particular needs, leads to energy savings. These savings contribute to the overall lighting infrastructure maintenance cost. Yet another contribution is the cost of traffic intensity data. The data is read directly from sensor systems or intelligent transportation systems (ITSs). The more frequent the readings are, the more costly they become, because of hardware capabilities, data transfer and software license costs, among others. The paper investigates a relationship between the frequency of readings, in particular the averaging window size and step, and achieved energy savings. It is based on a simulation, taking into account a representative part of a city and traffic intensity data, which span over a period of one year. While the energy consumption reduction is simulated, all data, including each luminaire power setting, induction loop locations and street characteristics, come from a representative sample of the city of Krakow, Poland. Controlling the power settings complies with the lighting standard CEN/TR 13201. Analysis of the outcomes indicates that the shorter the window size or step are, the more energy saving that is available. In particular, for the previous standard CEN/TR 13201 2004, having the window size and step at 15 min results in 26.75% of energy saving, while reducing these values to 6 min provides 27%. Savings are more profound for the current standard (CEN/TR 13201 2014), assuming a 15 min size and step results in 47.43%, while having a 6 min size and step provides 47.69%. The results can serve as a guideline for identifying the economic viability of dynamic lighting control systems. Additionally, it can be observed that the current lighting standard provides far greater potential for dynamic control then the previous standard.

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Section: Related Researchmentioning

confidence: 99%

Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland

Wojnicki

Kotulski

2018

Sustainability

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“…Often, combination of smart technologies with renewable energy sources offers added economic value [11]. Such solutions can be applied at the scale of an entire city [12], a single block, or indoor [13][14][15]. They are often based on rules and configured for particular deployments [16][17][18][19].…”

Section: Motivation and Related Researchmentioning

confidence: 99%

Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept

Wojnicki

Kotulski

2018

Energies

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Abstract:The paper introduces a definition of dual graph grammar. It enables two graphs to share information in a synchronized way. A smart city example application, which is an outdoor lighting control system utilizing the dual graph grammar, is also demonstrated. The system controls dimming of street lights which is based on traffic intensity. Each luminaire's light level is adjusted individually to comply with the lighting norms to ensure safety. Benefits of applying the dual graph grammar are twofold. First, it increases expressive power of the mathematical model that the system uses. It becomes possible to take into account complex geographical distribution of sensors and logical dependencies among them. Second, it increases the system's efficiency by reducing the problem size during run-time. Experimental results show a reduction of the computation time by a factor of 2.8. The approach has been verified in practice.

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“…The majority of academic or commercial systems aim to modernize lighting control by minimizing energy consumption [33], [9]. In general, such control systems aim to maintain a balance between energy saving and the visual or psychological comfort of users [4], [5]. However, when residential homes are concerned, individual comfort plays a more important role than energy costs.…”

Section: Example Case Lighting Control System Based On the Habits Ofmentioning

confidence: 99%

Statistical Evaluation of Four Technologies used for Intelectualization of Smart Home Environment

Paulauskaitė-Tarasevičienė

Jukavicius

Morkevičius

et al. 2015

ITC

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This paper addresses the issues of decision-making methods and their usage capabilities for intelligent control based on the habits of home residents. Learning from the behaviour of the resident is essential for the system to adapt and provide intelligent control based on behavioural habits. However, even deeply ingrained habits are subject to change over time. Therefore, an intelligent system has to respond to a changing and diverse environment. Various decision-making methods have the potential of a number of benefits in providing intelligent control for smart home systems. In this paper, concurrent decision-making methods, including Artificial Neural Networks, Fuzzy Logic, Linear Programing and Bayesian technique, are employed with proposed algorithms in order to provide control based on the habits of residents. These approaches are tested and compared in experimental scenarios for intelligent lightning control with the constant and changing habits of the residents.

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Intelligent Hybrid Control Model for Lighting Systems Using Constraint-Based Optimisation

Cited by 4 publications

References 11 publications

Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland

Empirical Study of How Traffic Intensity Detector Parameters Influence Dynamic Street Lighting Energy Consumption: A Case Study in Krakow, Poland

Improving Control Efficiency of Dynamic Street Lighting by Utilizing the Dual Graph Grammar Concept

Statistical Evaluation of Four Technologies used for Intelectualization of Smart Home Environment

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