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 Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

scholarly journals Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 561 ◽  
Author(s):  
Abdulmughni Hamzah ◽  
Mohammad Shurman ◽  
Omar Al-Jarrah ◽  
Eyad Taqieddin
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Logic Model ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Technique

In wireless sensor networks, the energy source is limited to the capacity of the sensor node’s battery. Clustering in WSN can help with reducing energy consumption because transmission energy is related to the distance between sender and receiver. In this paper, we propose a fuzzy logic model for cluster head election. The proposed model uses five descriptors to determine the opportunity for each node to become a CH. These descriptors are: residual energy, location suitability, density, compacting, and distance from the base station. We use this fuzzy logic model in proposing the Fuzzy Logic-based Energy-Efficient Clustering for WSN based on minimum separation Distance enforcement between CHs (FL-EEC/D). Furthermore, we adopt the Gini index to measure the clustering algorithms’ energy efficiency in terms of their ability to balance the distribution of energy through WSN sensor nodes. We compare the proposed technique FL-EEC/D with a fuzzy logic-based CH election approach, a k-means based clustering technique, and LEACH. Simulation results show enhancements in energy efficiency in terms of network lifetime and energy consumption balancing between sensor nodes for different network sizes and topologies. Results show an average improvement in terms of first node dead and half nodes dead.

Fuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layout

2017 ◽  
Vol 28 (5) ◽  
pp. 584-598 ◽  
Author(s):  
Arzu Cılasun Kunduracı ◽  
Z. Tuğçe Kazanasmaz
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Building Energy ◽  
Simulation Software ◽  
Logic Model ◽  
Fuzzy Logic Algorithm ◽  
Lighting Control ◽  
Fuzzy Logic Model ◽  
Institute Of Technology ◽  
Control Behaviour

In considering total building energy consumption, lighting plays an important role in shaping energy consumption and use. Although key strategies (such as energy efficient lighting products, lighting control systems and energy simulation software) are developed so far, such attempts may be unsuccessful unless users are not taken into consideration. Users’ behaviours and their manual lighting control actions depend on various factors, though within the scope of this study manual lighting control behaviour was analysed only in terms of interior layout and daylight illuminance. Three private offices in Izmir Institute of Technology were monitored using illuminance metres and occupancy/light detectors under eight different interior layout conditions. In relation to change of interior layout and daylight penetrations, users’ manual lighting control behaviours were monitored. The obtained data were then used to construct a fuzzy logic model in MATLAB FIS editor. A fuzzy logic algorithm was applied to classify behaviour patterns about the tendency to turn on the lights. This kind of prediction of the light usage tendency regarding the occupancy is aimed to foresee the ‘possible’ manual lighting control behaviour within given conditions. The gathered classification can be used further in future studies of manual lighting control behaviour and energy-saving estimations/simulations.

A Fuzzy Logic Model to Predict Coral Reef Development under Nutrient and Sediment Stress

1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar
Keyword(s):  
Fuzzy Logic ◽  
Coral Reef ◽  
Logic Model ◽  
Reef Development ◽  
Fuzzy Logic Model

scholarly journals A Fuzzy Logic Model for Hourly Electrical Power Demand Modeling

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
New England ◽  
Electrical Power ◽  
Logic Model ◽  
Power Demand ◽  
Demand Modeling ◽  
Mapping Model ◽  
Fuzzy Logic Model ◽  
Radial Basis

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.

scholarly journals Fuzzy logic model for the prediction of cement compressive strength

2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can
Keyword(s):  
Compressive Strength ◽  
Fuzzy Logic ◽  
Logic Model ◽  
Fuzzy Logic Model
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