scholarly journals Technical-Economic Evaluation of the Effectiveness of Measures Applied to the Artificial Lighting System of a School

2021 ◽  
Vol 11 (14) ◽  
pp. 6664
Author(s):  
Cristina Baglivo ◽  
Marina Bonomolo ◽  
Paolo Maria Congedo ◽  
Marco Beccali ◽  
Simona Antonaci
Keyword(s):  
Energy Consumption ◽  
Electricity Consumption ◽  
Well Being ◽  
Lighting System ◽  
Artificial Lighting ◽  
Local Schools ◽  
Current State ◽  
Visual Tasks ◽  
Reduction Of Energy Consumption ◽  
Google Sketchup

Ensuring optimum interior lighting is a topic of great importance, as this influences not only the well-being of users but also the optimal performance of visual tasks. Lighting can be natural, but if not sufficient, it can be compensated with artificial lighting. This study highlights a methodology for designing a new lighting system that takes into account both technical and economic aspects. The method was applied to an existing school located in southern Italy, in which the electricity consumption is related to the current lighting system. The school is chosen as being representative of the construction type and layout of many local schools. In addition, the coexistence of several visual tasks with different design requisites (e.g., illuminance levels) makes the school a very complex environment. The school lighting is modelled in Google SketchUp and imported into Daysim to simulate the yearly and hourly daylight indoor contribution. Dialux Evo has been used to simulate and design artificial lighting. The results show a reduction of energy consumption of 33% with the simple replacement of fluorescent luminaires with LEDs, while the LED lamp dimming and modulation for rows of luminaires leads to a 95% reduction in energy consumption compared with the current state.

Energy Consumption, Carbon Emission, and Well-Being in Africa

2020 ◽  
Vol 47 (3) ◽  
pp. 295-318
Author(s):  
Ebenezer Adesoji Olubiyi
Keyword(s):  
Energy Consumption ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Carbon Emission ◽  
Energy Use ◽  
Electricity Consumption ◽  
Well Being ◽  
Infant Mortality Rate ◽  
Coal Consumption ◽  
Human Welfare

The link among energy use, human welfare, and carbon emission has been a topical issue in the literature. In Africa, energy consumption has been on the increase owing to the production and consumption of sophisticated consumer goods and home appliances. Increased energy use triggers carbon emission that is detrimental to human welfare. This study investigates this puzzle in emerging African countries by utilizing panel vector autoregressive and system generalized method of moments (SYS-GMM) in the context of a mix of theories. The results indicate a unidirectional causality running from FUEL, COAL to per capita income (PCI). A unidirectional causality running from mortality rate (MOR) to COAL and CO2 was observed. There is a bidirectional relationship between MOR and energy use. The SYS-GMM results show that the effects of energy consumption on well-being are diverse. Increase in coal consumption reduces unemployment rate while electricity consumption reduces infant mortality rate. Fuel consumption aggravates incidence of mortality rate. CO2 reduces unemployment but worsens infant mortality rate. Electricity consumption reduces infant mortality rate. Hence, for the purpose of policy harmonization tailored toward improving well-being in the emerging economies of Africa, it is recommended that more of coal consumption and efficient use of electricity must be encouraged.

scholarly journals Lighting control network based on KNX protocol, for the reduction of energy consumption

2020 ◽  
Vol 19 (3) ◽  
pp. 1186
Author(s):  
Omar Chamorro Atalaya ◽  
Angel Quesquen-Porras ◽  
Dora Arce Santillan
Keyword(s):  
Energy Consumption ◽  
Network Architecture ◽  
Electricity Consumption ◽  
Environmental Benefits ◽  
Control Network ◽  
Commercial Building ◽  
Lighting Control ◽  
Reduction Of Energy Consumption ◽  
Carbon Dioxide Co2 ◽  
Air Conditioning Systems

<span>This article presents the development of a lighting control network to reduce the energy consumption of a commercial building, using the KNX protocol; because of the high rates of electricity consumption, the same that are reflected in the payment of the electricity supply. For this, the design of the network architecture is carried out, the tree type quality and it has KNX, DALI components and LED luminaires, which are interconnected by means of an Ethernet type BUS; The KNX protocol configuration is then performed using the ETS version 5 software; carries out the implementation of KNX technology, determines the reduction of energy consumption by 82.33%. Likewise, emissions of carbon dioxide (CO2), one of the main gases involved in climate change, were reduced by 85%. With these results we obtain economic and environmental benefits; Reason why it is proposed to perform the same procedure for the control of air conditioning systems, since their operation represents 32.8% of the energy consumption of an establishment.</span>

scholarly journals Industrial Facility Electricity Consumption Forecast Using Artificial Neural Networks and Incremental Learning

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4774
Author(s):  
Daniel Ramos ◽  
Pedro Faria ◽  
Zita Vale ◽  
João Mourinho ◽  
Regina Correia
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Incremental Learning ◽  
Forecast Accuracy ◽  
Electricity Consumption ◽  
Relevant Information ◽  
Industrial Facility ◽  
Artificial Neural ◽  
Reduction Of Energy Consumption ◽  
Artificial Neural Network Ann

Society’s concerns with electricity consumption have motivated researchers to improve on the way that energy consumption management is done. The reduction of energy consumption and the optimization of energy management are, therefore, two major aspects to be considered. Additionally, load forecast provides relevant information with the support of historical data allowing an enhanced energy management, allowing energy costs reduction. In this paper, the proposed consumption forecast methodology uses an Artificial Neural Network (ANN) and incremental learning to increase the forecast accuracy. The ANN is retrained daily, providing an updated forecasting model. The case study uses 16 months of data, split in 5-min periods, from a real industrial facility. The advantages of using the proposed method are illustrated with the numerical results.

scholarly journals Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace

2020 ◽  
Author(s):  
Rahib Imamguluyev
Keyword(s):  
Energy Efficiency ◽  
Fuzzy Logic ◽  
Energy Consumption ◽  
New Technologies ◽  
Electricity Consumption ◽  
Logic Model ◽  
Energy Sources ◽  
Lighting System ◽  
Electricity Prices ◽  
Fuzzy Logic Model

Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consumption by ensuring energy efficiency in such a widely used system provides savings that will affect the economy and the life of energy sources, both economically and in terms of energy efficiency. The difference between electricity generation and the amount of electricity required in the last few years has been a cause for concern. In recent years, due to the increase in electricity prices, the steering committees of various organizations have begun to consider various ways to reduce electricity prices, and in this regard, attention should be paid to the basic lighting system. By applying healing methods or using new technologies without reducing production and switching to more efficient use of energy. Improving energy efficiency is more economical than investing in new energy sources. Energy saving in lighting is to provide good lighting conditions without compromising the quality of light. It is possible to achieve the same level of lighting with energy consumption, as good lighting will be provided by more efficient lighting elements. With efficient lighting, there will be less electricity consumption and eye health will be protected. This article discusses the application of a lighting system based on a fuzzy logic model to reduce electricity costs in offices.

scholarly journals Illuminance levels based on different sky conditions by considering daylight harvesting

2020 ◽  
Vol 19 (3) ◽  
pp. 1219
Author(s):  
Nik Sahidah Nik Ahmad ◽  
N. H. Radzi ◽  
Mohd Noor Abdullah
Keyword(s):  
Energy Consumption ◽  
Greenhouse Effect ◽  
Weather Conditions ◽  
Lighting System ◽  
Artificial Lighting ◽  
Harvesting Systems ◽  
Illuminance Level ◽  
Sky Conditions ◽  
Daylight Harvesting ◽  
Overcast Sky

Daylight Harvesting Systems (DHS) offer the most effective and significant to reduce energy consumption. In the lighting system, there are various problems which include waste of energy consumption, inappropriate lighting and increasing greenhouse effect. Therefore, the waste of energy consumption should be reduced by controlling the dimming levels of artificial lighting according to the standard thus reducing the greenhouse effect. Hence, this paper considered the daylight adaptive for the lighting system to determine the dimming level and illuminance level for the office room. The simulation has been carried out using DIALux simulation lighting software to simulate the average daylight and average illuminance level with different conditions sky, which is clear, average, and overcast sky. Based on the result, the illuminance level has complied with the European Standard EN12464-1. Furthermore, the presence of daylight and weather conditions plays an essential role in the lighting system. The illuminance and dimming levels are different depending on the time and type of sky condition at that time. Therefore, the daylight adaptive in the lighting system can reduce the use of artificial light in the room.

Energy Analysis of Efficient Lighting System Design for Lecturing Room Using DIAlux Evo 3

2016 ◽  
Vol 818 ◽  
pp. 174-178 ◽  
Author(s):  
Mohd Athir Kamaruddin ◽  
Yanuar Z. Arief ◽  
Mohd Hafizi Ahmad
Keyword(s):  
Energy Consumption ◽  
System Design ◽  
Energy Analysis ◽  
Light Emitting Diode ◽  
Electricity Consumption ◽  
Cost Savings ◽  
Building Design ◽  
Lighting System ◽  
Lecture Room ◽  
Manual Calculation

Rate of electricity consumption is increasing due to the increasing demand every year, while the supply of natural resources is significantly reduced. This is a factor why electricity tariffs are increased and it would affect the improvement of living standards. The lighting system is one of the important elements of the building design. Effective and efficient strategy of lighting, includes natural daylighting, appropriate level of illumination, and low energy consumption. A significant cost saving can be achieved if the designers know how to design a lighting system effectively and efficiently. Therefore, the appropriate design of lighting system which meet the standard was proposed in this project. The objective of this research is to perform energy analysis of lighting system design for lecture room. The lecture room at UTM SPACE building in Kuala Lumpur was taken as a case study. Type of lighting used, existing room design, and lighting technology in the market are identified prior to the beginning of the present study. After that, the system design is implemented using the manual calculation based on lumen method and the simulation is done using DIAlux Evo 3 and AutoCAD. Two type of lighting products are compared in terms of energy consumption and cost: the compact fluorescent lamp (CFL) and the light emitting diode (LED). Then, comparison of results was performed to obtain the best lighting system. The results revealed that LED provides energy cost savings of 30% to 50% annually compared to CFL. The prediction from DIAlux Evo 3 simulation is more accurate compared to the manual calculation.

Review of the Current State and Future Development in Standardising Artificial Lighting

2019 ◽  
pp. 4-44 ◽  
Author(s):  
Peter Thorns
Keyword(s):  
Internet Of Things ◽  
Future Development ◽  
Best Practice ◽  
The Internet ◽  
Artificial Lighting ◽  
Current State ◽  
Internal Structures ◽  
European Regulations ◽  
The Internet Of Things

This paper discusses the organisations involved in the development of application standards, European regulations and best practice guides, their scope of work and internal structures. It considers their respective visions for the requirements for future standardisation work and considers in more detail those areas where these overlap, namely human centric or integrative lighting, connectivity and the Internet of Things, inclusivity and sustainability.

Review of the Current State and Future Development in Standardizing Natural Lighting in Interiors

2018 ◽  
pp. 5-26 ◽  
Author(s):  
Stanislav Darula
Keyword(s):  
Human Life ◽  
Natural Light ◽  
Artificial Lighting ◽  
Computer Tools ◽  
Natural Lighting ◽  
Current State ◽  
Minimum Requirements ◽  
Life On Earth ◽  
Window Design

Three elements mainly wind, water and sun seemed to determine in ancient ages the basic phenomena of life on Earth. Architectural history documented the importance of sun influence on urban and building construction already in layouts of Mesopotamian and Greek houses. Not only sun radiation but especially daylight played a significant role in the creation of indoor environment. Later, in the 20th century, a search of interaction between human life in buildings and natural conditions were studied considering well­being and energy conscious design recently using computer tools in complex research and more detail interdisciplinary solutions. At the same time the restricted daytime availability of natural light was supplemented by more efficient and continually cheaper artificial lighting of interiors. There are two main approaches to standardize the design and evaluation of indoor visual environment. The first is based on the determination of the minimum requirements respecting human health and visibility needs in all activities while the second emphasizes the behaviour and comfort of occupants in buildings considering year­around natural changes of physical quantities like light, temperature, noise and energy consumption. The new current standardization basis for daylight evaluation and window design criteria stimulate the study of methodology principles that historically were based on the overcast type of sky luminance pattern avoiding yearly availability of sky illuminance levels. New trends to base the daylight standardization on yearly or long­term availability of daylight are using the averages or median sky illuminance levels to characterise local climatological conditions. This paper offers the review and discussion about the principles of the natural light standardization with a short introduction to the history and current state, with a trial to focus on the possible development of lighting engineering and its standards in future.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

DETERMINING THE PROFITABILITY OF GREENHOUSE ELECTROTECHNOLOGIES: A MODELING APPROACH

HortScience ◽  
1994 ◽  
Vol 29 (4) ◽  
pp. 249a-249
Author(s):  
Eric A. Lavoie ◽  
Damien de Halleux ◽  
André Gosselin ◽  
Jean-Claude Dufour
Keyword(s):  
Energy Consumption ◽  
Heat Pump ◽  
Water System ◽  
Heat Pumps ◽  
Hot Water ◽  
Pump System ◽  
Heat Pump System ◽  
Artificial Lighting ◽  
Hot Air ◽  
Marketable Fruit

The main objective of this research was to produce a simulated model that permitted the evaluation of operating costs of commercial greenhouse tomato growers with respect to heating methods (hot air, hot water, radiant and heat pumps) and the use of artificial lighting for 1991 and 1992. This research showed that the main factors that negatively influence profitability were energy consumption during cold periods and the price of tomatoes during the summer season. The conventional hot water system consumed less energy than the heat pump system and produced marketable fruit yields similar to those from the heat pump system. The hot water system was generally more profitable in regards to energy consumption and productivity. Moreover, investment costs were less; therefore, this system gives best overall financial savings. As for radiant and hot air systems, their overall financial status falls between that of the hot water system and the heat pump. The radiant system proved to be more energy efficient that the hot air system, but the latter produced a higher marketable fruit yield over the 2-year study.

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