scholarly journals Minimal Green Energy Consumption and Workload Management for Data Centers on Smart City Platforms

2020 ◽  
Vol 12 (8) ◽  
pp. 3140 ◽  
Author(s):  
Pei Pei ◽  
Zongjie Huo ◽  
Oscar Sanjuán Martínez ◽  
Rubén González Crespo
Keyword(s):  
Energy Consumption ◽  
Smart City ◽  
Energy Use ◽  
Data Centers ◽  
Renewable Energy Sources ◽  
Global Market ◽  
Green Energy ◽  
Workload Management ◽  
Multi Objective Genetic Algorithm ◽  
Delay Tolerant

Presently, energy is considered a significant resource that grows scarce with high demand and population in the global market. Therefore, a survey suggested that renewable energy sources are required to avoid scarcity. Hence, in this paper, a smart, sustainable probability distribution hybridized genetic approach (SSPD-HG) has been proposed to decrease energy consumption and minimize the total completion time for a single machine in smart city machine interface platforms. Further, the estimated set of non-dominated alternative using a multi-objective genetic algorithm has been hybridized to address the problem, which is mathematically computed in this research. This paper discusses the need to promote the integration of green energy to reduce energy use costs by balancing regional loads. Further, the timely production of delay-tolerant working loads and the management of thermal storage at data centers has been analyzed in this research. In addition, differences in bandwidth rates between users and data centers are taken into account and analyzed at a lab scale using SSPD-HG for energy-saving costs and managing a balanced workload.

scholarly journals Thermal-Aware Hybrid Workload Management in a Green Datacenter towards Renewable Energy Utilization

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1494 ◽  
Author(s):  
Yuling Li ◽  
Xiaoying Wang ◽  
Peicong Luo ◽  
Qingyi Pan
Keyword(s):  
Renewable Energy ◽  
Energy Supply ◽  
Negative Impact ◽  
Renewable Energy Sources ◽  
Green Energy ◽  
Energy Utilization ◽  
Workload Management ◽  
Hybrid Energy ◽  
Delay Tolerant ◽  
Massive Data Processing

The increase in massive data processing and computing in datacenters in recent years has resulted in the problem of severe energy consumption, which also leads to a significant carbon footprint and a negative impact on the environment. A growing number of IT companies with operating datacenters are adopting renewable energy as part of their energy supply to offset the consumption of brown energy. In this paper, we focused on a green datacenter using hybrid energy supply, leveraged the time flexibility of workloads in the datacenter, and proposed a thermal-aware workload management method to maximize the utilization of renewable energy sources, considering the power consumption of both computing devices and cooling devices at the same time. The critical knob of our approach was workload shifting, which scheduled more delay-tolerant workloads and allocated resources in the datacenter according to the availability of renewable energy supply and the variation of cooling temperature. In order to evaluate the performance of the proposed method, we conducted simulation experiments using the Cloudsim-plus tool. The results demonstrated that the proposed method could effectively reduce the consumption of brown energy while maximizing the utilization of green energy.

scholarly journals Towards A Sustainable Green Design for Next-Generation Networks

2021 ◽  
Author(s):  
Isiaka Ajewale Alimi ◽  
Romilkumar K. Patel ◽  
Akeem O. Mufutau ◽  
Nelson J. Muga ◽  
Armando N. Pinto ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Networks ◽  
Energy Consumption ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Carbon Dioxide Emission ◽  
Green Energy ◽  
Green Communications ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

Abstract The evolution in the Information and Communications Technologies industry results in excessive energy consumption and carbon dioxide emission in the wireless networks. In this context, energy efficiency in mobile networks has been attracting considerable attention as green communications and operational expenditures reduction depend on it. Although the Internet of Things is to be supported by devices that are low-energy consuming, the power consumption of the huge number to be connected for several applications and services demand significant attention. To offer insights into green communications, this paper reviews various energy efficiency improvement techniques. Also, we consider a hybrid model in which the main grid power and dynamically harvested green energy from renewable energy sources can be leveraged to support the energy demand of the radio access network. In this regard, we reformulate the energy consumption model and consider an energy-efficient power allocation algorithm for green energy optimization. Numerical results show that with resource allocation algorithm exploitation, the energy efficiency can be enhanced. Besides, the amount of the grid energy consumption can be considerably minimized, resulting in the greenhouse gas emissions reduction in the wireless networks.

Towards Smart Green Cities: Analysis of Integrated Renewable Energy Use in Smart Cities

2021 ◽  
Author(s):  
Natalia Vukovic ◽  
Ulyana Koriugina ◽  
Daria Illarionova ◽  
Daria Pankratova ◽  
Polina Kiseleva ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Renewable Energy ◽  
Energy Use ◽  
Smart Cities ◽  
Renewable Energy Sources ◽  
Green Energy ◽  
Energy Sources ◽  
Research Findings ◽  
Effective Development ◽  
Green Cities

This study aims to estimate and explore the experience of introducing renewable energy use in the context of the world’s smart cities. In this regard, the study points out that the use of green energy is an important part of sustainable development. Environmental problems are a matter of global concern. Hence sustainable development is one of the approaches to end the harmful anthropogenic impact. The work includes quantitative assessment methods, for example, statistics, quantitative analysis, analogy, and synthesis. As a result, the analysis confirms that the effective development of a smart green city is impossible without the introduction of several renewable energy sources, the integrated use of which will reduce the likelihood of problems with the city’s energy supply. Likewise, the outcome accentuates that the desire to fully switch to renewable energy sources (RES) can be accompanied by several problems as the creation of RES technologies does not always take the risk of abnormal situations into account. In conclusion, the research findings are recommended to be taken into consideration by researchers in the field of smart and sustainable cities development, as well as urbanists and economists for designing future smart green cities based on renewable energy sources.

scholarly journals ARTIFICIAL INTELLIGENCEINTERVENTION TO URBAN BUILDING RENEWABLE ENERGY MODELING INTERVENTION FOR ROBUST FLEXIBLE COMMUNITIES

2021 ◽  
Vol 9 (03) ◽  
pp. 314-321
Author(s):  
Sammar Z. Allam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Plants ◽  
Energy Use ◽  
Model Simulation ◽  
Renewable Energy Sources ◽  
Energy Generation ◽  
Building Blocks ◽  
Positive Energy ◽  
Use Pattern

This research coveys a comparative analysis between Urban Building energy model (UBEM) generated by scholar, researchers, and professional in academia and industry while highlighting the reliable main components to manifest a successful and reliable UBEM technologies. Nevertheless, it consolidates distributed generation on building blocks rather than a whole district relying on renewable energy sources. It guides engineers through energy system model simulation on Openmodelica platform to feed green sustained communities. Moreover, energy use-pattern is mapped and analyzed by internet of things (IOT) technologies to fine-tune energy uses and refine use-pattern. Demonstrating artificial Intelligence (AI) algorithmto predict energy consumption can reflect on the amount of energy required for storage to cover energy needs. AI shapes a robust positive energy district (PED) through storinggenerated renewable solar or bio-energy to cover predicted energy use-pattern.Distributed -power-plant stations capacity to cover clusters using AI in predicting energy consumption consolidates on-site energy generation recommended by multiple International rating systems. AI-based Energy management plan guide engineers and planners to design distributed-power-plants of energy generation capacity lies between the actual energy need and a predicted scenario.

scholarly journals IMPACT OF MODAL CHOICE IN ENERGY CONSUMPTION AND CARBON DIOXIDE EMISSIONS: ANALYSIS OF BRAZILIAN BIOETHANOL SUPPLY CHAIN

2016 ◽  
Vol 13 (2) ◽  
pp. 138 ◽  
Author(s):  
Juliana Monteiro Lopes ◽  
Ilton Curty Leal Junior ◽  
Vanessa De Almeida Guimarães
Keyword(s):  
Supply Chain ◽  
Renewable Energy ◽  
Life Cycle ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Total Energy Consumption ◽  
South Central

Currently, concerns with sustainable development lead organizations to improve their production processes in order to reduce greenhouse gases emission and energy consumption. Since the bioethanol supply chain is a CO2 emitter and depends on several energy sources, it becomes important to analyze how to improve this chain regarding environmental issues. Thus, this paper presents a comparative study of scenarios with bioethanol supply chain configurations which use different modal alternatives and renewable energy in all its mid-stages. The analysis was based on LCA (life cycle analysis) concepts and in a partial application of LCI (life cycle inventory), so that we can identify which of these scenarios is most appropriate in terms of lower total energy consumption, greater share of renewable energy use and lower CO2 emissions. Based on concepts found in the bibliographic research, the methodology used and the data collected from documental research, this paper analyzes the supply chain that begins with sugarcane plantation and bioethanol production in the south central region of Brazil with destination to export. Based on the results, we concluded that it is possible to improve the performance of the supply chain in environmental terms with a combination of renewable energy sources and modes of transport that are more suitable to the product studied.

scholarly journals From Energy Blues to Green Energy: Options Before Pakistan

2014 ◽  
Vol 53 (4II) ◽  
pp. 309-325
Author(s):  
Rafi Amir-Ud-Din
Keyword(s):  
Renewable Energy ◽  
Environmental Impact ◽  
Fossil Fuels ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Green Energy ◽  
Economic Feasibility ◽  
Energy Sources ◽  
Energy Mix ◽  
Current Energy

Energy crisis in Pakistan had been brewing long before it became an important national issue with the potential to significantly affect the outcome of general elections of 2013. The looming crisis of depleting non-renewable energy sources combined with a feeble economy has lent a new urgency to the search for an energy mix which is sustainable, economically viable and environmentally least hazardous. Fossil fuels with their known adverse environmental impacts dominate the current energy mix of Pakistan. The renewable energy sources remain underutilised despite being cost effective and less hazardous for the environment. A substantial amount of literature has highlighted various dimensions of existing energy sources in Pakistan with a particular emphasis on the environmental impact, the sustainability and the efficiency of various energy sources [see Asif (2009); Basir, et al. (2013); Bhutto, et al. (2012); Mirza, et al. (2009, 2008, 2003); Muneer and Asif (2007); Sheikh (2010) for example]. This study analyses the environmental impact, economic feasibility and efficiency of various energy sources subject to various economic and noneconomic constraints. Section 2 discusses energy security by reviewing various tapped and untapped energy sources besides analysing current energy mix and its future prospects. Section 3 highlights the interaction of energy use and environment. Section 4 discusses two approaches to assess the feasibility of an energy mix: disaggregated and aggregated. The latter approach makes a multidimensional comparison of all the energy sources discussed in this study. Section 5 consists of discussion and concluding remarks.

scholarly journals The Relationship between Financial Development and Renewable Energy Consumption in South Asian Countries

2021 ◽  
Author(s):  
Sakib Amin ◽  
Farhan Khan ◽  
Ashfaqur Rahman
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Financial Development ◽  
Energy Use ◽  
Green Energy ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Cross Sectional ◽  
Long Run ◽  
Cointegration Tests

Abstract We analyse how the financial development and green energy use are linked to the countries of South Asia from 1990 to 2018. Domestic credit to the private sector and renewable energy consumption is being used in this paper as indicators of financial development and the use of renewable energy. On the indication of cross-sectional dependency among the variables of the models, we apply second generation panel unit root tests and cointegration tests to check the stationarity properties and long-run cointegration relation among the variables. We find that variables are stationary at the first difference, and long-run cointegration exists. By applying robust dynamic heterogeneous and cross-section augmented estimators, we find that increase in GDP increases renewable energy consumption by 1.56-0.50%; however reduces by 0.07-0.03% after certain thresholds. Furthermore, increase in financial development, on average, reduces the propensity of renewable energy consumption by 0.15-0.07% in the long-run. On the other hand, the Dumitrescu-Hurlin panel causality test shows a unidirectional relationship from GDP to financial development and financial development to renewable energy consumption but not vice versa. We suggest that the selected countries revisit and restructure the renewable energy policy and emphasise institutional reforms to strengthen renewable energy development in the upcoming years.

Achieving Ultra-Low Energy Consumption in Data Center Mechanical Systems Through Indirect Airside Economization

2016 ◽  
Author(s):  
Dan Comperchio ◽  
Sameer Behere
Keyword(s):  
Information Technology ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Use ◽  
Data Centers ◽  
Mechanical Systems ◽  
Electrical Energy ◽  
Vapor Compression ◽  
Ambient Conditions ◽  
Air Temperatures

Data center cooling systems have long been burdened by high levels of redundancy requirements, resulting in inefficient system designs to satisfy a risk-adverse operating environment. As attitudes, technologies, and sustainability awareness change within the industry, data centers are beginning to realize higher levels of energy efficiency without sacrificing operational security. By exploiting the increased temperature and humidity tolerances of the information technology equipment (ITE), data center mechanical systems can leverage ambient conditions to operate in economization mode for increased times during the year. Economization provides one of the largest methodologies for data centers to reduce their energy consumption and carbon footprint. As outside air temperatures and conditions become more favorable for cooling the data center, mechanical cooling through vapor-compression cycles is reduced or entirely eliminated. One favorable method for utilizing low outside air temperatures without sacrificing indoor air quality is through deploying rotary heat wheels to transfer heat between the data center return air and outside air without introducing outside air into the white space. A metal corrugated wheel is rotated through two opposing airstreams with varying thermal gradients to provide a net cooling effect at significantly reduced electrical energy over traditional mechanical cooling topologies. To further extend the impacts of economization, data centers are also able to significantly raise operating temperatures beyond what is traditionally found in comfort cooling applications. The increase in the dry bulb temperature provided to the inlet of the information technology equipment, as well as an elevated temperature rise across the equipment significantly reduces the energy use within a data center.

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.

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.

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