scholarly journals Management of investment activities in the field of energy saving

2019 ◽  
Vol 110 ◽  
pp. 02063
Author(s):  
Inga Skvortsova ◽  
Roman Latyshev ◽  
Yuri Truntsevsky
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Smart Home ◽  
Energy Use ◽  
Business Processes ◽  
Positive Trend ◽  
System Interconnection ◽  
Business Structures ◽  
Save Energy ◽  
High Level

This article is a joint development of ways to improve the efficiency of business processes of energy use, taking into account innovative development and modernization of the economy in modern conditions. The energy industry is regarded as a leader in introducing innovations among other industries. The solutions are proposed to reduce energy consumption using advanced technologies. The features of energy supply to consumers in difficult conditions of economic, technical and climatic nature are identified, provided that large systems with a high level of complexity of system interconnection are integrated. The necessity of restructuring the entire global electric power network of the Russian Federation on the principles of multifunctional automation is substantiated. The main focus is on the use of “smart home” technology. This technology is considered as one of the most promising areas for the economical use of energy. The use of Smart Grid and Smart Home technologies significantly improves the efficiency of business processes using different types of energy, which allows planning plan energy consumption more accurately. The studies have shown that the use of innovative technologies can save up to a third of the energy consumed, but the population has no significant motivation to plan and save energy, which negatively affects the mass introduction of these technologies. However, there is a positive trend in the use of Smart Grid and Smart Home technologies in optimizing the management of business processes by business structures, for example, in optimizing security tools, managing household engineering systems, etc.

scholarly journals Innovation through improvement in the energy efficiency of business processes

2019 ◽  
Vol 110 ◽  
pp. 02167 ◽  
Author(s):  
Inga Skvortsova ◽  
Roman Latyshev ◽  
Yuri Truntsevsky
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Smart Home ◽  
Business Processes ◽  
Positive Trend ◽  
Use Of Technology ◽  
System Interconnection ◽  
Business Structures ◽  
Save Energy ◽  
High Level

The energy industry is regarded as a leader in introducing innovations among other industries. Solutions are proposed to reduce energy consumption. The features of energy supply to consumers in difficult conditions of economic, technical and climatic nature are identified, provided that large systems with a high level of complexity of system interconnection are integrated. The main focus is on the use of technology “smart home”. The use of Smart Grid and Smart Home technologies significantly improves the efficiency of business processes, which in turn allows you to more accurately plan energy consumption. Studies have shown that the use of innovative technologies can save up to a third of the energy consumed, but the population has no significant motivation to plan and save energy. However, there is a positive trend in the use of Smart Grid and Smart Home technologies in optimizing the management of business processes by business structures, for example, , in optimizing security tools, managing household engineering systems, etc.

scholarly journals Using Conversational Assistants and Connected Devices to Promote a Responsible Energy Consumption at Home

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 32
Author(s):  
Jesús Fontecha ◽  
Iván González ◽  
Alberto Salas-Seguín
Keyword(s):  
Energy Consumption ◽  
Home Environment ◽  
Smart Home ◽  
Energy Use ◽  
Consumption Data ◽  
Smart Home Environment ◽  
Current Energy ◽  
Positive Results ◽  
Natural Way ◽  
At Home

Today, households worldwide are being increasingly connected. Mobile devices and embedded systems carry out many tasks supported by applications which are based on artificial intelligence algorithms with the aim of leading homes to be smarter. One of the purposes of these systems is to connect appliances to the power network, as well as to the internet to monitor consumption data among others. In addition, new interaction ways are emerging to manage all these systems. For example, conversational assistants which allow us to interact by voice with devices at home. In this work, we present GreenMoCA, a system to monitor energy consumption data from connected devices at home with the aim of improving sustainability aspects and reducing such energy consumption, supported by a conversational assistant. This system is able to interact with the user in a natural way, providing information of current energy use and feedback based on previous consumption measures in a Smart Home environment. Finally, we assessed GreenMoCA from a usability and user experience approach on a group of users with positive results.

scholarly journals Advice Provision for Energy Saving in Automobile Climate-Control System

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 61-72 ◽  
Author(s):  
Amos Azaria ◽  
Ariel Rosenfeld ◽  
Sarit Kraus ◽  
Claudia V. Goldman ◽  
Omer Tsimhoni
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Control Systems ◽  
Control Unit ◽  
Comfort Level ◽  
Environmental Footprint ◽  
Climate Control ◽  
Electric Car ◽  
Save Energy ◽  
High Level

Reducing energy consumption of climate control systems is important in order to reduce human environmental footprint. The need to save energy becomes even greater when considering an electric car, since heavy use of the climate control system may exhaust the battery. In this article we consider a method for an automated agent to provide advice to drivers which will motivate them to reduce the energy consumption of their climate control unit. Our approach takes into account both the energy consumption of the climate control system and the expected comfort level of the driver. We therefore build two models, one for assessing the energy consumption of the climate control system as a function of the system’s settings, and the other, models human comfort level as a function of the climate control system’s settings. Using these models, the agent provides advice to the driver considering how to set the climate control system. The agent advises settings which try to preserve a high level of comfort while consuming as little energy as possible. We empirically show that drivers equipped with our agent which provides them with advice significantly save energy as compared to drivers not equipped with our agent.

An Efficient Sleeping Scheduling for Save Energy Consumption in Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 2288-2293
Author(s):  
Shu Guang Jia ◽  
Li Peng Lu ◽  
Ling Dong Su ◽  
Gui Lan Xing ◽  
Ming Yue Zhai
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Smart Grid ◽  
Round Robin ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Active Sensors ◽  
Save Energy ◽  
Battery Energy

Smart grid has become one hot topic at home and abroad in recent years. Wireless Sensor Networks (WSNs) has applied to lots of fields of smart grid, such as monitoring and controlling. We should ensure that there are enough active sensors to satisfy the service request. But, the sensor nodes have limited battery energy, so, how to reduce energy consumption in WSNs is a key challenging. Based on this problem, we propose a sleeping scheduling model. In this model, firstly, the sensor nodes round robin is used to let as little as possible active nodes while all the targets in the power grid are monitored; Secondly, for removing the redundant active nodes, the sensor nodes round robin is further optimized. Simulation result indicates that this sleep mechanism can save the energy consumption of every sensor node.

COMPARISON OF COOLING AND HEATING REQUIREMENTS BETWEEN BRICK VENEER AND FIBRO CEMENT WALLING SYSTEM

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Swapan Saha ◽  
Dharma Hagare ◽  
Jiaqi Zhou ◽  
Md Kamrul Hassan
Keyword(s):  
Energy Consumption ◽  
Energy Cost ◽  
Energy Use ◽  
Net Present Value ◽  
Space Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Brick Veneer ◽  
Save Energy ◽  
Modern House

Space cooling and heating in residential sector is significant contributor to energy consumption in Australia. Therefore, it is important to reduce the cooling and heating requirements. The selection of a good walling system helps to save energy by homes. This research compared the thermal efficiency of a modern house (constructed using brick veneer walls with concrete floor slab) with an old house (constructed using fibro cement walls raised timber floor) using the AccuRate simulation tool. A standard house with two living rooms, one kitchen, one laundry and four bedrooms are simulated in a Sydney Suburb in Australia. It was found that modern house showed lower inside temperature variation than the old house all year around. The results also showed that the modern house has a lower energy consumption for space heating and cooling than the old house. The annual energy use for space heating and cooling in both the modern house and old house were 5197 kWh and 15,712 kWh respectively. Moreover, the annual energy costs were found to be $1,403 and $4,242 respectively for modern and old houses. The modern brick veneer house saved about 33 % of energy compared to old old house. When the net present value of the energy cost for f both houses over 50 years is computed, the energy cost of modern house was found to be $25,629 while it of old house is was $77,488 for the old house.

Analysis of the Nexus Between Smart Grid, Sustainable Energy Consumption, and the Smart City

2020 ◽  
pp. 169-191
Author(s):  
Luke A. Amadi ◽  
Prince I. Igwe
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Power Supply ◽  
Smart City ◽  
Energy Use ◽  
Sustainable Energy ◽  
The Core ◽  
The Future

Since the 1990s, the field of smart grid has attempted to remedy some of the core development deficiencies associated with power supply in the smart city. While it seemingly succeeds in provision of electricity, it fails to fully resolve the difficulties associated with sustainable energy consumption. This suggests that the future of smart grid analytics in the smart city largely depends on efficiency in energy consumption which integrates sustainability in the overall energy use. This chapter analyzes the nexus between smart grid, sustainable energy consumption, and the smart city.

Analysis of Energy Demand and Smart Grid Policy-Making Issues of China

2012 ◽  
Vol 260-261 ◽  
pp. 576-580
Author(s):  
Sheng Xia Cai
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Utilization ◽  
Net Energy ◽  
Urgent Task ◽  
Policy Suggestions ◽  
Fossil Fuel Energy ◽  
Smart Grid Technology

Energy demand is steadily increasing in the world. People face challenges to meet this demand. Smart grid technology is helpful to renewable energy utilization and thus is drawn more and more attention. This paper makes a comparison of several indicators among five countries or districts from 2002 to 2010. These indicators include energy use indicator, GDP per unit of energy use indicator, net energy imports indicator, CO2 emissions indicator, fossil fuel energy consumption indicator, and Alternative and nuclear energy indicator. From the trend analysis of these indicators, it can be seen that developing countries especially China has a rapid increase in energy consumption and have a high environment protection pressure. Hence smart grid development is an urgent task for China. Some issues in the development of smart grid are discussed and some policy suggestions are presented.

scholarly journals Improving Energy Efficiency on SDN Control-Plane Using Multi-Core Controllers

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3161
Author(s):  
Tadeu F. Oliveira ◽  
Samuel Xavier-de-Souza ◽  
Luiz F. Silveira
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Use ◽  
Data Centers ◽  
Parallel Implementation ◽  
Multicore Processors ◽  
Control Plane ◽  
Processing Power ◽  
Save Energy ◽  
The Many

Software-defined networks have become more common in data centers. The programmability of these networks is a great feature that allows innovation to be deployed fast, following the increasing number of new applications. This growth comes with a cost of more processing power and energy consumption. Many researchers have tackled this issue using existing routing techniques to dynamically adjust the network forwarding plane to save energy. On the control-plane, researchers have found algorithms for positioning the controller in a way to reduce the number of used links, thus reducing energy. These strategies reduce energy consumption at the expense of processing power of the controllers. This paper proposes a novel approach to energy efficiency focused on the network’s control-plane, which is complementary to the many already existing data-plane solutions. It takes advantage of the parallel processing capabilities of modern off-the-shelf multicore processors to split the many tasks of the controller among the cores. By dividing the tasks among homogeneous cores, one can lower the frequency of operations, lowering the overall energy consumption while keeping the same quality of service level. We show that a multicore controller can use an off-the-shelf multicore processor to save energy while keeping the level of service. We performed experiments based on standard network measures, namely latency and throughput, and standard energy efficiency metrics for data centers such as the Communication Network Energy Efficiency (CNEE) metric. Higher energy efficiency is achieved by a parallel implementation of the controller and lowering each core’s frequency of operation. In our experiments, we achieved a drop of 28% on processor energy use for a constant throughput scenario when comparing with the single-core approach.

scholarly journals The Climate Change Dilemma: How Cooperation Beliefs Influence Energy Conservation Behavior

2021 ◽  
Vol 13 (10) ◽  
pp. 5575
Author(s):  
Christiane Lübke
Keyword(s):  
Climate Change ◽  
Energy Conservation ◽  
Energy Use ◽  
Environmental Behavior ◽  
European Social Survey ◽  
Conservation Behavior ◽  
Individual Incentive ◽  
Mitigate Climate Change ◽  
Save Energy ◽  
High Level

Despite widespread belief in anthropogenic climate change and high levels of concern about its consequences, behavioral changes necessary to adequately address climate change appear difficult to achieve. This concern–behavior gap is often explained by the public goods character of climate change mitigation, which is associated with a high individual incentive to take a free ride when possible. This paper examines cooperation beliefs and their impact on individuals’ energy conservation behavior. Analyzing data from the European Social Survey, it appears that cooperation beliefs are rather low in Europe and that most people do not expect others to limit their energy use to help mitigate climate change. This low trust contrasts with individuals’ reported level of energy conservation behavior and the general high level of energy conservation in most European countries. This trust gap has important implications for pro-environmental behavior as high trust in others’ pro-environmental behavior fosters individuals’ attempts to save energy.

scholarly journals A Review on Building Energy Efficiency Techniques

2018 ◽  
Vol 7 (4.35) ◽  
pp. 35 ◽  
Author(s):  
Abbas M. Al-Ghaili ◽  
Hairoladenan Kasim ◽  
Marini Othman ◽  
Zainuddin Hassan
Keyword(s):  
Energy Efficiency ◽  
Interior Design ◽  
Energy Use ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Light Control ◽  
Different Types ◽  
Save Energy ◽  
High Level ◽  
Published Research

This paper highlights a number of recently published research studies during last five years in order to provide a summary related to latest trends of energy efficiency in the smart buildings technology. It reviews numerous technical methods applied to achieve a high level of Building Energy Efficiency (BEE). In this paper, methods applied to measure the BEE and to predict the energy-use have been considered and reviewed. Furthermore, some other methods discussed in articles which consider retrofitting of interior design of buildings have been taken. One of the most impacts that has been considered is the light control system because it directly affects the energy use. This paper has reviewed different types of techniques that save energy consumptions such as predictive techniques of energy use, Internet of Things (IoT) buildings, light control systems inside buildings, and Quick Response (QR) code based services used to notify occupants for energy-use. It has provided a simple comparison between different techniques used to retrofit the interior design of buildings due to its high importance in saving energy. The paper has also recommended suitability of methods taking into account the existing situation, design, limitations, and conditions of the building being studied.

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