scholarly journals Reducing Energy Consumption by Using Smart Metering Intelligent Systems

2016 ◽  
Vol 16 (2) ◽  
pp. 113-124
Author(s):  
Ivaylo Atanasov ◽  
Anastas Nikolov ◽  
Evelina Pencheva

Abstract Smart metering is aimed at efficient energy management. Its potential may be revealed using recent advances in machine type communications. This paper presents an approach to design web services for residential power control with prepaid functionality. The reduction in energy consumption is estimated for typical households applying heating control.

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1187 ◽  
Author(s):  
Fernando Yanine ◽  
Antonio Sánchez-Squella ◽  
Aldo Barrueto ◽  
Antonio Parejo ◽  
Felisa Cordova ◽  
...  

In this paper a novel model is being proposed and considered by ENEL—the largest electric utility in Chile—and analyzed thoroughly, whereby electric power control and energy management for a 60-apartments’ residential building is presented as an example of the utility’s green energy program, part of its Smart Grid Transformation plan to install grid-tied distributed generation (DG) systems, namely microgrids, with solar generation and energy storage in Santiago, Chile. The particular tariffs scheme analysis shown is part of the overall projected tentative benefits of adopting the new scheme, which will require the utility’s customers to adapt their consumption behavior to the limited supply of renewable energy by changing energy consumption habits and schedules in a way that maximizes the capacity and efficiency of the grid-tied microgrid with energy storage. The change in behavior entails rescheduling power consumption to hours where the energy supply capacity in the DG system is higher and price is lower as well as curtailing their power needs in certain hourly blocks so as to maximize DG system’s efficiency and supply capacity. Nevertheless, the latter presents a problem under the perspective of ENEL’s renewable energy sources (RES) integration plan with the electric utility’s grid supply, which, up until now and due to current electric tariffs law, has not had a clear solution. Under said scenario, a set of strategies based on energy homeostasis principles for the coordination and control of the electricity supply versus customers’ demand has been devised and tested. These strategies which consider various scenarios to conform to grid flexibility requirements by ENEL, have been adapted for the specific needs of these types of customers while considering the particular infrastructure of the network. Thus, the microgrid adjusts itself to the grid in order to complement the grid supply while seeking to maximize green supply capacity and operational efficiency, wherein the different energy users and their energy consumption profiles play a crucial role as “active loads”, being able to respond and adapt to the needs of the grid-connected microgrid while enjoying economic benefits. Simulation results are presented under different tariff options, system’s capacity and energy storage alternatives, in order to compare the proposed strategies with the actual case of traditional grid’s electricity distribution service, where no green energy is present. The results show the advantage of the proposed tariffs scheme, along with power control and energy management strategies for the integration of distributed power generation within ENEL’s Smart Grid Transformation in Chile.


Proceedings ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Attila Albini ◽  
Edina Albininé Budavári ◽  
Zoltán Rajnai

An important problem in our world is that humanity’s energy consumption is constantly rising. Therefore, nowadays there is an increasing emphasis on the problem of reusability and efficient energy management. The present paper studies the energy sustainability of systems by developing a unique test model. Using this test model, the theoretical problems of closed systems are investigated. With a theoretical experiment, the temporal motion of rigid systems is monitored and the behavior of flexible systems is analyzed. Finally, the study of the energy interaction of the general system and its environment shows the basic condition for the system’s overall sustainability.


2016 ◽  
Vol 20 (6) ◽  
pp. 1168-1171 ◽  
Author(s):  
Guopeng Zhang ◽  
Ao Li ◽  
Kun Yang ◽  
Liqiang Zhao ◽  
Deqiang Cheng

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1094 ◽  
Author(s):  
Edgar Ripoll-Vercellone ◽  
Vicent Ferrandiz ◽  
Manel Gasulla

Smart utilities enable more efficient energy consumption and distribution and are the key for smart homes development. We propose an electronic device that will be integrated as an add-on to already installed conventional gas meters as a first stage of smart metering rollout. The electronic device will measure the gas consumption and it will be managed by the user’s or operator’s smartphone via NFC. For the gas flow measurement, the electronic device takes advantage of the rotation of a permanent magnet fixed in an index drum.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2244 ◽  
Author(s):  
Ghulam Hafeez ◽  
Khurram Saleem Alimgeer ◽  
Zahid Wadud ◽  
Zeeshan Shafiq ◽  
Mohammad Usman Ali Khan ◽  
...  

Energy consumption forecasting is of prime importance for the restructured environment of energy management in the electricity market. Accurate energy consumption forecasting is essential for efficient energy management in the smart grid (SG); however, the energy consumption pattern is non-linear with a high level of uncertainty and volatility. Forecasting such complex patterns requires accurate and fast forecasting models. In this paper, a novel hybrid electrical energy consumption forecasting model is proposed based on a deep learning model known as factored conditional restricted Boltzmann machine (FCRBM). The deep learning-based FCRBM model uses a rectified linear unit (ReLU) activation function and a multivariate autoregressive technique for the network training. The proposed model predicts future electrical energy consumption for efficient energy management in the SG. The proposed model is a novel hybrid model comprising four modules: (i) data processing and features selection module, (ii) deep learning-based FCRBM forecasting module, (iii) genetic wind driven optimization (GWDO) algorithm-based optimization module, and (iv) utilization module. The proposed hybrid model, called FS-FCRBM-GWDO, is tested and evaluated on real power grid data of USA in terms of four performance metrics: mean absolute percentage deviation (MAPD), variance, correlation coefficient, and convergence rate. Simulation results validate that the proposed hybrid FS-FCRBM-GWDO model has superior performance than existing models such as accurate fast converging short-term load forecasting (AFC-STLF) model, mutual information-modified enhanced differential evolution algorithm-artificial neural network (MI-mEDE-ANN)-based model, features selection-ANN (FS-ANN)-based model, and Bi-level model, in terms of forecast accuracy and convergence rate.


2019 ◽  
Vol 8 (4) ◽  
pp. 1406-1411

Energy management system is one of the challenging tasks associated with residential buildings. The cost of energy is purely based on the amount of energy consumed during peak hours. This paper focuses on an efficient energy management system for the control of energy consumption during peak hours. ZigBee module is used to monitor the energy consumed by the home appliances. The working of the proposed system is categorized into two modes of operation: normal time and peak time. During normal time, all home appliances can be operated and the cost of energy will be at normal rate. Whereas, during peak time, high rating machines will be shut down, that is controlled by ZigBee and the light loads will be operated from battery supply. Thus the proposed system reduces the energy consumption and is cost effective. Simulation analysis is done using proteus software. Hardware model is also implemented which proves that the proposed energy management system improves the energy efficiency.


2016 ◽  
Vol 13 (3) ◽  
pp. 4891
Author(s):  
Mustafa Kırlı ◽  
Tekmez Kulu

That the energy, as an important production factor, is a non-replaced element is an undeniable fact while the businesses perform their basic functions. In macro scale the economies of the countries and in micro scale businesses must manage the energy well in order to obtain their goals. In that sense, energy management should be organized as an independent unit within the institutions; it should take precautions to reduce the energy costs and to increase the operation productivity of the businesses. In the modern understanding of business administration, energy management has the functions such as reducing the costs in a business, increasing the competitiveness, increasing the operating profits, increasing the operation productivity, wise use of energy and reducing environmental pollution. Energy accounting is an information system that follows, records and reports the energy consumption and energy costs regularly. Energy accounting has a significant contribution in achieving the expected success of energy management. Energy accounting has benefits in many fields such as reducing energy supply costs, reducing energy consumption costs and making budgets of the business in the context of energy management. Energy accounting motivates and activates all the units of the business in terms of reducing energy costs by performing the duties which are expected from it. Özetİşletmeler temel işlevlerini yerine getirirken, önemli bir üretim faktörü olarak enerjinin; ikame edilemeyecek bir unsur olduğu yadsınamaz bir gerçektir. Makro ölçekte ülke ekonomilerinin ve mikro ölçekte de işletmelerin amaçlarına ulaşabilmeleri için enerjiyi etkin bir şekilde yönetmeleri gerekir. Bu bağlamda, enerji yönetimi, kurumlarda bağımsız bir birim olarak örgütlenmeli; enerji maliyetlerini azaltacak ve işletme faaliyet verimliliğini arttıracak önlemleri almalıdır. Çağdaş işletmecilik anlayışında enerji yönetimi; bir işletmede maliyetlerin azaltılması, rekabet gücünün arttırılması, işletme karlılığının arttırılması, işletme verimliliğinin arttırılması, enerjinin akılcı kullanımı ve çevre kirliliğinin azaltılması gibi işlevlere sahiptir. Enerji muhasebesi, enerji tüketimini ve enerji maliyetlerini düzenli bir şekilde izleyen, kaydeden ve raporlayan bir bilgi sistemidir. Enerji yönetiminin kendisinden beklenen başarıyı sağlamasında; enerji muhasebesinin önemli bir katkısı vardır. Enerji muhasebesi, enerji yönetimi kapsamında işletmelere; enerji tedarik maliyetlerini azaltmada, enerji kullanım maliyetlerini azaltmada, işletme bütçelerinin yapılması gibi bir çok alanda faydalar sağlar. Enerji muhasebesi, kendisinden beklenen görevleri yerine getirerek; işletmenin tüm birimlerini, enerji maliyetlerini düşürme konusunda motive etmekte ve harekete geçirmektedir.


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