scholarly journals A customer-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

Author(s):  
S Rafique ◽  
MSH Nizami ◽  
UB Irshad ◽  
MJ Hossain ◽  
GE Town

The demand for energy is increasing rapidly and, after a few years, it may surpass the available energy, which may lead the energy providers to increase the cost of energy consumption to compensate the cost for the production. This paper provides design and implementation details of a prototype big data application developed to help large buildings to automatically manage their energy consumption by setting energy consumption targets, collecting periodic energy consumption data, storing the data streams, displaying the energy consumption graphically in real-time, analyzing the consumption patterns, and generating energy consumption graphs and reports. The application is connected to Mongo NoSQL backend database to handle the large and continuously changing data. This big data energy consumption management system is expected to help the users in managing energy consumption by analyzing the patterns to see if it is within or above the desired consumption targets and displaying the data graphically.


2021 ◽  
Vol 295 ◽  
pp. 02001
Author(s):  
Alexey Pleshkov ◽  
Aleksey Kopylov ◽  
Petr Ulyankin

The issues of optimizing regional pricing are especially acute for the Kaliningrad Region due to its exclave features. At the same time, the cost of energy resources has become one of the main issues in making managerial decisions. Recently, the so-called Technoparks have become one of the new forms of organizing the production process in a certain branch of industry, or a process that is at the junction of several branches. There are a variety of descriptions of the indisputable advantages of this work format for a specific technological process, however, the possibilities in the field of reducing the costs of consumed energy resources that arise with such a local siting of production are not discussed that often. According to the authors of the article, based on the structure of the tariff, it is possible to classify methods of reducing the cost price by the impact on the components of the final cost of energy supply services. It should be noted that the classification sign of saving methods will be precisely the component of the tariff, while the methods themselves can be aimed both at reducing the price expression of each component of the tariff and at the volume of services for this component. The authors have also identified regional features of the pricing processes in the energy industry.


Author(s):  
Vasyl Hradovyi

Introduction. The problem of energy saving becomes more and more relevant in the conditions of organizational and economic relations transformation in agriculture. It is connected with intensive technologies used in the agriculture, with the cost and availability of different energy types. It affects the cost of production, its environmental friendliness and the achievement of sustainable development goals. Methods. The article talks about theoretical provisions related to the application of agro-technological operations in agriculture, including their economic and environmental components. Monographic, abstract and logical methods, as well as methods of comparison, generalization, and analysis, are used. Results. It is established that agriculture, unlike other branches of the economy, is not only a consumer of energy, but also generates it as a finished product. This uses anthropotechnogenic energy, as well as solar and soil energy. It is emphasized that the issue of achieving positive energy balance in agriculture is relevant today and needs to be solved by reducing energy consumption from non-renewable sources. It is determined that energy saving in agriculture involves the application of legislative, organizational, scientific, productional, technical and economic measures. As a result, the balanced energy consumption, rational energy use, optimization of energy saving management through organizational and economic mechanism and reducing energy consumption should occur. It is proved that the directions of energy saving in the agricultural sphere can be determined by the processes of its circulation and manifest itself in the form of providing access to energy resources, creating competitive conditions in the energy supply market, diversifying energy resources, increasing the efficiency of technical means. Considering the tools of energy saving achievement, it is determined that its main areas are: management, energy, technology, technical and selectional measures. Together their action is aimed at reducing energy consumption of fossil origin and using the solar and soil energy optimally. Discussion. The results of the study serve as a theoretical basis for further research in the energy saving field of agriculture, which can be implemented to substantiate comprehensive actions aimed at reducing energy consumption, as well as to develop an organizational and economical mechanism capable of achieving the highest level of energy saving. Keywords: energy saving, energy efficiency, agriculture, energy balance, directions of energy saving.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2885 ◽  
Author(s):  
Xin Ju ◽  
Wei Liu ◽  
Chengyuan Zhang ◽  
Anfeng Liu ◽  
Tian Wang ◽  
...  

In energy harvesting wireless sensor networks (EHWSNs), the energy tension of the network can be relieved by obtaining the energy from the surrounding environment, but the cost on hardware cannot be ignored. Therefore, how to minimize the cost of energy harvesting hardware to reduce the network deployment cost, and further optimize the network performance, is still a challenging issue in EHWSNs. In this paper, an energy conserving and transmission radius adaptive (ECTRA) scheme is proposed to reduce the cost and optimize the performance of solar-based EHWSNs. There are two main innovations of the ECTRA scheme. Firstly, an energy conserving approach is proposed to conserve energy and avoid outage for the nodes in hotspots, which are the bottleneck of the whole network. The novelty of this scheme is adaptively rotating the transmission radius. In this way, the nodes with maximum energy consumption are rotated, balancing energy consumption between nodes and reducing the maximum energy consumption in the network. Therefore, the battery storage capacity of nodes and the cost on hardware. Secondly, the ECTRA scheme selects a larger transmission radius for rotation when the node can absorb enough energy from the surroundings. The advantages of using this method are: (a) reducing the energy consumption of nodes in near-sink areas, thereby reducing the maximum energy consumption and allowing the node of the hotspot area to conserve energy, in order to prevent the node from outage. Hence, the network deployment costs can be further reduced; (b) reducing the network delay. When a larger transmission radius is used to transmit data in the network, fewer hops are needed by data packet to the sink. After the theoretical analyses, the results show the following advantages compared with traditional method. Firstly, the ECTRA scheme can effectively reduce deployment costs by 29.58% without effecting the network performance as shown in experiment analysis; Secondly, the ECTRA scheme can effectively reduce network data transmission delay by 44–71%; Thirdly, the ECTRA scheme shows a better balance in energy consumption and the maximum energy consumption is reduced by 27.89%; And lastly, the energy utilization rate is effectively improved by 30.09–55.48%.


Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1918 ◽  
Author(s):  
Alfonso Risso ◽  
Alexandre Beluco ◽  
Rita Marques Alves

Hybrid energy systems have higher initial costs than systems that are based on only one renewable resource, but allow for the fulfillment of the demands of consumer loads with lower values for the cost of energy. The possible complementarity between the resources used can contribute to a better use of the available energy. On a large scale, complementarity between power plants can serve as a tool for the management of energy resources. A complete evaluation of complementarity needs to consider three components: time complementarity, energy complementarity, and complementarity between amplitudes of variation. Complementarity can also be assessed between energy resources in one place (which may be termed temporal complementarity) and between resources at different sites (termed spatial complementarity). This paper proposes a method for quantifying spatial complementarity over time and for its expression through maps. The method suggests the establishment of a hexagonal network of cells and the determination of complementary roses for each cell that contains power plants. This article also applies the method proposed to some hydroelectric plants and wind farms in the State of Rio Grande do Sul, in southern Brazil, and present the map of spatial complementarity in time obtained.


2020 ◽  
Vol 9 ◽  
pp. 363
Author(s):  
Ana Catarina Formigoni Abel ◽  
Diego Antônio Custódio

The objective of this study was analyzing two pressure systems relative to energy consumption. One of the systems operates at a fixed speed and the other with variable speed by using a frequency inverter. It was selected two product models based on the water demand, which was calculated with the average flow rate spent per each type of sanitary appliance. Thus, it was possible to estimate the power consumed in each hour and then, calculate the electric energy consumption. The cost of energy per hour was also found, considering the current energy tariff. The results showed an economical use of the inverter compares to non-use. The average potential energy savings was 44.7%, and it was found R$ 369.11 of reduction in the monthly energy cost. Therefore, it is concluded the use frequency inverter is economically viable in relation to energy consumption and reduce the costs of electric energy.  


2020 ◽  
Vol 12 (8) ◽  
pp. 3111 ◽  
Author(s):  
Raffaele Carli ◽  
Mariagrazia Dotoli ◽  
Salvatore Digiesi ◽  
Francesco Facchini ◽  
Giorgio Mossa

In recent years, the continuous increase of greenhouse gas emissions has led many companies to investigate the activities that have the greatest impact on the environment. Recent studies estimate that around 10% of worldwide CO2 emissions derive from logistical supply chains. The considerable amount of energy required for heating, cooling, and lighting as well as material handling equipment (MHE) in warehouses represents about 20% of the overall logistical costs. The reduction of warehouses’ energy consumption would thus lead to a significant benefit from an environmental point of view. In this context, sustainable strategies allowing the minimization of the cost of energy consumption due to MHE represent a new challenge in warehouse management. Consistent with this purpose, a two-step optimization model based on integer programming is developed in this paper to automatically identify an optimal schedule of the material handling activities of electric mobile MHEs (MMHEs) (i.e., forklifts) in labor-intensive warehouses from profit and sustainability perspectives. The resulting scheduling aims at minimizing the total cost, which is the sum of the penalty cost related to the makespan of the material handling activities and the total electricity cost of charging batteries. The approach ensures that jobs are executed in accordance with priority queuing and that the completion time of battery recharging is minimized. Realistic numerical experiments are conducted to evaluate the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. The obtained results show the effectiveness of the model in identifying the optimal battery-charging schedule for a fleet of electric MMHEs from economic and environmental perspectives simultaneously.


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.


2014 ◽  
Vol 632 ◽  
pp. 95-105
Author(s):  
K.S. Rakesh ◽  
M.P. Devaki

Energy conservation is one of the critical issues facing society today. Our civilization depends on energy for its sustenance. However, energy resources are finite and the ever increasing demands being made for diminishing supplies increases the cost of energy putting it beyond the reach of a large part of society. Renewable energy concepts for new communities offer exciting possibilities for new forms of living. Since India is blessed with abundant sunshine, we can plan and organize our settlements for utilizing renewable energy resources and implementing innovative concepts for shelter, transportation, etc.


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