scholarly journals 03/02542 Energy performance of daylight-linked automatic lighting control systems in large atrium spaces: report on two field-monitored case studies

2003 ◽  
Vol 44 (6) ◽  
pp. 407
Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 202
Author(s):  
Gianluca Serale ◽  
Luca Gnoli ◽  
Emanuele Giraudo ◽  
Enrico Fabrizio

Artificial lighting systems are used in commercial greenhouses to ensure year-round yields. Current Light Emitting Diode (LED) technologies improved the system efficiency. Nevertheless, having artificial lighting systems extended for hectares with power densities over 50W/m2 causes energy and power demand of greenhouses to be really significant. The present paper introduces an innovative supervisory and predictive control strategy to optimize the energy performance of the artificial lights of greenhouses. The controller has been implemented in a multi-span plastic greenhouse located in North Italy. The proposed control strategy has been tested on a greenhouse of 1 hectare with a lighting system with a nominal power density of 50 Wm−2 requiring an overall power supply of 1 MW for a period of 80 days. The results have been compared with the data coming from another greenhouse of 1 hectare in the same conditions implementing a state-of-the-art strategy for artificial lighting control. Results outlines that potential 19.4% cost savings are achievable. Moreover, the algorithm can be used to transform the greenhouse in a viable source of energy flexibility for grid reliability.


Author(s):  
Prince U.C. Songwa ◽  
Aaqib Saeed ◽  
Sachin Bhardwaj ◽  
Thijs W. Kruisselbrink ◽  
Tanir Ozcelebi

High-quality lighting positively influences visual performance in humans. The experienced visual performance can be measured using desktop luminance and hence several lighting control systems have been developed for its quantification. However, the measurement devices that are used to monitor the desktop luminance in existing lighting control systems are obtrusive to the users. As an alternative, ceiling-based luminance projection sensors are being used recently as these are unobtrusive and can capture the direct task area of a user. The positioning of these devices on the ceiling requires to estimate the desktop luminance in the user's vertical visual field, solely using ceiling-based measurements, to better predict the experienced visual performance of the user. For this purpose, we present LUMNET, an approach for estimating desktop luminance with deep models through utilizing supervised and self-supervised learning. Our model learns visual representations from ceiling-based images, which are collected in indoor spaces within the physical vicinity of the user to predict average desktop luminance as experienced in a real-life setting. We also propose a self-supervised contrastive method for pre-training LUMNET with unlabeled data and we demonstrate that the learned features are transferable onto a small labeled dataset which minimizes the requirement of costly data annotations. Likewise, we perform experiments on domain-specific datasets and show that our approach significantly improves over the baseline results from prior methods in estimating luminance, particularly in the low-data regime. LUMNET is an important step towards learning-based technique for luminance estimation and can be used for adaptive lighting control directly on-device thanks to its minimal computational footprint with an added benefit of preserving user's privacy.


2013 ◽  
Vol 340 ◽  
pp. 601-605
Author(s):  
Lin Li ◽  
Chang Ji Shan ◽  
Jun Luo

With the speedy development of Auto-industry, CAN-BUS technology is becoming more and more mature day after day. This paper makes a study of the application of CAN-BUS technology in lighting control systems and failure finding model while making an analysis of the characteristics of the application of CAN-BUS technology in Auto-motive Network which paves way for the further studies of CAN-BUS technology.


Buildings ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 105 ◽  
Author(s):  
Nadia MIRABELLA ◽  
Martin RÖCK ◽  
Marcella Ruschi Mendes SAADE ◽  
Carolin SPIRINCKX ◽  
Marc BOSMANS ◽  
...  

Globally, the building sector is responsible for more than 40% of energy use and it contributes approximately 30% of the global Greenhouse Gas (GHG) emissions. This high contribution stimulates research and policies to reduce the operational energy use and related GHG emissions of buildings. However, the environmental impacts of buildings can extend wide beyond the operational phase, and the portion of impacts related to the embodied energy of the building becomes relatively more important in low energy buildings. Therefore, the goal of the research is gaining insights into the environmental impacts of various building strategies for energy efficiency requirements compared to the life cycle environmental impacts of the whole building. The goal is to detect and investigate existing trade-offs in current approaches and solutions proposed by the research community. A literature review is driven by six fundamental and specific research questions (RQs), and performed based on two main tasks: (i) selection of literature studies, and (ii) critical analysis of the selected studies in line with the RQs. A final sample of 59 papers and 178 case studies has been collected, and key criteria are systematically analysed in a matrix. The study reveals that the high heterogeneity of the case studies makes it difficult to compare these in a straightforward way, but it allows to provide an overview of current methodological challenges and research gaps. Furthermore, the most complete studies provide valuable insights in the environmental benefits of the identified energy performance strategies over the building life cycle, but also shows the risk of burden shifting if only operational energy use is focused on, or when a limited number of environmental impact categories are assessed.


Author(s):  
A.A. Ashryatov ◽  
V.G. Kulikov ◽  
A.V. Panteleyev

<p>Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.</p>


2021 ◽  
Author(s):  
◽  
Amardeep Mohanlal Dugar

<p>'Tangible lighting controls' is used as an umbrella term to describe lighting control systems that are easy to understand and pleasurable to use by end-users. The crucial question posed is, what is the nature of interface designs sought by end-users for maximising interaction with lighting control systems? The manner in which this question is posed implies a fundamental assumption that improved usability and end-user experience are the primary goals. The concept of end-user understanding of lighting control interfaces is proposed as a basis for improving the usability and end-user experience of lighting control interfaces. Usability engineering methods involving survey research, experimental mock-ups and prototyping have been used to enable end-users to design and evaluate lighting control interfaces. The essential difference is to include end-users' point of view about ease of understanding control functions and pleasure of performing control tasks along with a technical point of view about meeting required standards. Manufacturers' claims about the effectiveness of existing lighting control interfaces are challenged, and an entirely different way of thinking about interface design is revealed. Such a change of thinking may be seen as a new framework for improved designs of lighting control interfaces as well as evaluation of their usability and end-user experience.</p>


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