scholarly journals GPF: A Green Power Forwarding Technique for Energy-Efficient Network Operations

2021 ◽  
Author(s):  
Rahil Gandotra ◽  
Levi Perigo
Keyword(s):  
Energy Consumption ◽  
Network Performance ◽  
Energy Savings ◽  
Cost Savings ◽  
Network Routing ◽  
Routing Metric ◽  
Future Directions ◽  
Green Power ◽  
Network Operations ◽  
Network Administrators

The energy consumption of network infrastructures is increasing; therefore, research efforts designed to diminish this growing carbon footprint are necessary. Building on prior work, which determined a difference in the energy consumption of network hardware based on their forwarding configurations and developed a real-time network energy monitoring tool, this research proposes a novel technique to incorporate individual device energy efficiency into network routing decisions. A new routing metric and algorithm are presented to select the lowest-power, least-congested paths between destinations, known as Green Power Forwarding (GPF). In addition, a network dial is developed to enhance GPF by allowing network administrators to tune the network to optimally operate between energy savings and network performance. To ensure the scope of this research for industry adoption, implementation details for different generations of networking infrastructure (past, present, and future) are also discussed. The experiment results indicate that significant energy and, in turn, cost savings can be achieved by employing the proposed GPF technique without a reduction in network performance. The future directions for this research include developing dynamically-tuning network dial modes and extending the principles to inter-domain routing.

scholarly journals Modelling energy efficiency and generation potential in the South African wastewater services sector

2020 ◽  
Vol 81 (5) ◽  
pp. 876-890
Author(s):  
John N. Zvimba ◽  
Eustina V. Musvoto
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
South African ◽  
Energy Savings ◽  
Water Cycle ◽  
Cost Savings ◽  
Optimal Process ◽  
The South ◽  
Services Sector ◽  
Energy Conservation Measures

Abstract About 55% of energy used in the South African water cycle is for wastewater treatment, with the bulk of this energy associated with aeration in biological processes. However, up to 15% of wastewater energy demand can be offset by energy generation from sludge (power and/or combined heat and power), while best practices adoption can deliver energy efficiency gains of between 5% and 25% in the water cycle. Advanced process modelling and simulation has been applied in this study as a tool to evaluate optimal process and aeration control strategies. This study further applied advanced modelling to investigate and predict the potential energy consumption and consumption cost pattern by the South African wastewater sector resulting from implementation of optimal process and aeration energy use reduction strategies in support of sustainable municipal wastewater management. Aeration energy consumption and cost savings of 9–45% were demonstrated to be achievable through implementation of energy conservation measures without compromising final effluent regulatory compliance. The study further provided significant potential future energy savings as high as 50% and 78% through implementation of simple and complex aeration energy conservation measures respectively. Generally, the model-predicted energy savings suggest that adoption of energy efficiency should be coupled with electricity generation from sludge in order to achieve maximum energy consumption and cost savings within the South African wastewater services sector.

scholarly journals Study of Energy Saving Analysis for Different Industries

2020 ◽  
Vol 143 (5) ◽  
Author(s):  
Ahmad Abdel-Hadi ◽  
Abdel Rahman Salem ◽  
Ahmad I. Abbas ◽  
Mohammad Qandil ◽  
Ryoichi S. Amano
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Cost Savings ◽  
Industrial Sector ◽  
Metal Industry ◽  
Assessment Process ◽  
Standard Industrial Classification ◽  
Fabricated Metal ◽  
Energy Assessment ◽  
Knowing That

Abstract This study analyzes the energy consumption and saving performance in the industries in the U.S.A. All energy assessments implemented were for facilities whose annual energy consumptions were less than 9,000,000 kWh (small- and medium-sized industries) that belong to the manufacturing industries with Standard Industrial Classification (SIC) codes ranging from 2000 to 3999 in addition to SIC codes starting with 49. In this study, assessments are classified based on the SIC codes with recommendations analysis for each classification to get a better idea of what recommendations were suggested in each major industrial sector, knowing that 68 assessments were made, and their SIC ranged from 14 to 49. In addition, this study could be considered as a guide for energy engineers and other personnel involved in the energy assessment process. The information investigated can give a better prediction for composing better energy-demanding industries and minimizing energy consumption. More than 61 energy assessments were conducted for manufacturing facilities and analyzing the data gathered and processed. Through the research, the Fabricated Metal industry achieved the highest average kWh savings and cost savings within the industries studied in this study. According to the average gigajoule (GJ) savings, the fabricated metal industry ranked second within the studied industries. Conversely, Food and Kindred Products achieved the highest GJ energy savings within the studied industries. Lighting, motors, compressors, and heating, ventilation, and air conditioning (HVAC) were the most contributing industries in a total of 547 recommendations.

Routing Algorithm in Wireless Sensor Networks Based on Multi-Optimization Function

2015 ◽  
Vol 741 ◽  
pp. 386-389
Author(s):  
Jian Zhang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Network Performance ◽  
Routing Algorithm ◽  
Network Routing ◽  
Wireless Sensor ◽  
Selection Function ◽  
Optimization Function

As the deficiencies of present Wireless Sensor Network Routing Protocol in extending network lifetime and improving network performance, a kind of Routing Algorithm based on Multi-optimization Function is proposed in order to achieve the optimization goals of balancing network node energy consumption and extending network lifetime. By introducing parameters like available energy of nodes, routing hops and physical distance between nodes into routing selection function, optimum path is set up. Therefore, the integrated optimization of Wireless Sensor Network performance is realized. As NS2 emulation result shows, this algorithm has achieved higher transmission reliability, lower energy consumption and much longer network lifetime. Compared with traditional directed diffusion algorithm, the rate of data transmission success has risen by 15.3%, utilization ratio of network energy by 9.7%, and network lifetime by 37.8%. Routing Algorithm based on Multi-optimization Function has more advantages in Wireless Sensor Network.

scholarly journals Reducing The Energy Consumption By Using Floor Heating With Phase Change Materials In The Toronto Climate

2021 ◽  
Author(s):  
Lindsay Fialkov
Keyword(s):  
Energy Consumption ◽  
Phase Change ◽  
Phase Change Materials ◽  
Energy Savings ◽  
Cost Savings ◽  
Heating System ◽  
Radiant Floor Heating System ◽  
The Cost ◽  
The Impact ◽  
Floor Heating

This major research project focuses on reducing the energy consumption, by modelling a radiant floor heating system with phase change materials, in the Toronto climate. Computer generated simulations were performed using DesignBuilder software, using an example of a typical condominium in Toronto .Two south facing suites and two north facing suites were investigated. Of those suites, one north facing suite had PCM below the finished floor, as well as one south facing suite. The objective of these simulations was to determine the impact of using PCM in the condo suites. Three different types of PCM were used, in order to determine which type had the biggest energy savings. The PCMs were M91/Q21, M51/Q21 and M27/Q21. The final results showed that the suites with the M27/Q21 PCM had the lowest energy usage. A cost savings comparison was performed based on the rate of energy used and the cost of the energy, provided by the Ontario Energy Board.

scholarly journals Building energy simulations for different building types equipped with a high performance thermochromic smart window

2021 ◽  
Vol 855 (1) ◽  
pp. 012001
Author(s):  
D Mann ◽  
C Yeung ◽  
R Habets ◽  
Z Vroon ◽  
P Buskens
Keyword(s):  
Energy Consumption ◽  
Annual Cost ◽  
High Performance ◽  
Energy Savings ◽  
Cost Savings ◽  
Residential Building ◽  
Building Energy ◽  
Smart Window ◽  
Smart Windows ◽  
The Impact

Abstract With constantly progressing climate change and global warming, we face the challenge to reduce our energy consumption and CO2 emission. To increase the energy-efficiency in buildings, we developed a thermochromic coating for smart windows which is optimized for intermediate climates. Here we present a building energy simulation study for the use of our smart window in the four main residential building types in the Netherlands. In the study we show that for all building types energy savings between 15-30% can be achieved. Hereby the impact of the windows on energy consumption is dependent on the window surface area as well as the total floor space. Furthermore we show that by the use of our new smart window, where the thermochromic coating is combined with a standard low-e coating, annual cost savings for energy between 220-445 € for a single household can be achieved. The thermochromic coating usually accounts for half of these cost savings, that is an addition in cost savings between 6-7.5 €/m2 glass. Due to the low material and processing costs for the thermochromic coating, a return on invest within 7 years should be feasible with these annual cost savings.

scholarly journals Reducing The Energy Consumption By Using Floor Heating With Phase Change Materials In The Toronto Climate

2021 ◽  
Author(s):  
Lindsay Fialkov
Keyword(s):  
Energy Consumption ◽  
Phase Change ◽  
Phase Change Materials ◽  
Energy Savings ◽  
Cost Savings ◽  
Heating System ◽  
Radiant Floor Heating System ◽  
The Cost ◽  
The Impact ◽  
Floor Heating

This major research project focuses on reducing the energy consumption, by modelling a radiant floor heating system with phase change materials, in the Toronto climate. Computer generated simulations were performed using DesignBuilder software, using an example of a typical condominium in Toronto .Two south facing suites and two north facing suites were investigated. Of those suites, one north facing suite had PCM below the finished floor, as well as one south facing suite. The objective of these simulations was to determine the impact of using PCM in the condo suites. Three different types of PCM were used, in order to determine which type had the biggest energy savings. The PCMs were M91/Q21, M51/Q21 and M27/Q21. The final results showed that the suites with the M27/Q21 PCM had the lowest energy usage. A cost savings comparison was performed based on the rate of energy used and the cost of the energy, provided by the Ontario Energy Board.

Exploring aeration-associated energy savings at a conventional water reclamation plant

2017 ◽  
Vol 76 (8) ◽  
pp. 2222-2231 ◽  
Author(s):  
Jun-Jie Zhu ◽  
Paul R. Anderson
Keyword(s):  
Energy Consumption ◽  
Process Model ◽  
Energy Savings ◽  
Large Fraction ◽  
Cost Savings ◽  
Lower Probability ◽  
Storm Event ◽  
Water Reclamation ◽  
Control Techniques ◽  
Low Probability

Aeration accounts for a large fraction of energy consumption at conventional water reclamation plants (WRPs). Older plants were designed when control techniques were relatively primitive and energy consumption was less of a concern. As a result, although process operations at older WRPs can satisfy effluent permit requirements, they can operate with excess aeration. In this study, we developed a wastewater process model to evaluate possible aeration savings at the Metropolitan Water Reclamation District of Greater Chicago Calumet WRP, one of the oldest plants in Chicago. Based on subsets of influent characteristics, we identified eight steady-state scenarios. We also identified transient scenarios that included high probability perturbations and more challenging but lower probability conditions. Results indicate that the Calumet WRP frequently operates with excess aeration. Effluent dissolved oxygen is the limiting parameter with respect to aeration saving and permit requirements. In a typical storm event, aeration could be reduced by up to 50%; even under low probability challenging perturbations, aeration can be decreased by 35% from current average levels and all permit requirements can be satisfied. Annual cost savings from cutting the aeration by 35% could be more than $1.2 million.

Reducing Energy Costs With Electric, Diesel and Dual-Powered Locomotives

2009 ◽  
Author(s):  
Janis Vitins
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
New Technologies ◽  
Cost Savings ◽  
Energy Costs ◽  
Aggressive Driving ◽  
Driving Style ◽  
Mixed Network ◽  
Reduce Energy Consumption

Typically, the costs for traction energy add up to 20% or more of the total train operating costs with electric locomotives in Europe. Therefore, there is a high incentive for the railroads to reduce energy consumption and thus to improve operating margins. Additionally, rising costs for energy as well as environmental aspects will increase the need to reduce energy consumption in the future. Firstly, on electric locomotives the largest energy savings are obtained from power regeneration at braking. In this mode the locomotive acts as a moving power generator feeding energy back into the catenary network. Savings are typically in the range of 10 to 30%. Secondly, the driving style has a high impact on energy costs. Energy consumption can be lowered by more than 20% through an energy conscious driving style compared to aggressive driving. Thirdly, the energy efficiency of the whole traction chain is important. Electric locomotives designed for AC catenaries have an overall energy efficiency of up to 86%. Locomotives designed for 1.5 or 3 kV DC catenaries can have an overall energy efficiency of up to 90%. New technologies can potentially help to increase the power efficiencies even further. Apart from using efficient diesel engines, the fuel costs of diesel-electric locomotives can be reduced much in the same way as with electric locomotives. Regeneration of braking power on diesel-electric locomotives is, however, limited to feeding the auxiliaries and head end power (HEP) to passenger coaches. In Europe the energy costs per hauled ton-km are typically much lower with electric than with diesel traction. This gives dual-powered locomotives the advantage of overall lower energy costs for operation on both electrified and non-electrified networks. First estimates show that the total energy costs (diesel and electric operation) can be reduced by more than 35% in a mixed network with 80% electrification with a dual-powered locomotive compared to a diesel locomotive running the same train on the same route. In addition, the dual-powered locomotive provides major cost savings and increased quality of service with a one seat ride.

Saving Primary Energy Consumption Through Exergy Analysis of Combine Distillation and Power Plant

2012 ◽  
Vol 9 (2) ◽  
pp. 65
Author(s):  
Alhassan Salami Tijani ◽  
Nazri Mohammed ◽  
Werner Witt
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Heat Pump ◽  
Heat Recovery ◽  
Energy Savings ◽  
Primary Energy ◽  
Heat Pumps ◽  
Saturated Steam ◽  
Distillation Unit ◽  
Primary Energy Consumption

Industrial heat pumps are heat-recovery systems that allow the temperature ofwaste-heat stream to be increased to a higher, more efficient temperature. Consequently, heat pumps can improve energy efficiency in industrial processes as well as energy savings when conventional passive-heat recovery is not possible. In this paper, possible ways of saving energy in the chemical industry are considered, the objective is to reduce the primary energy (such as coal) consumption of power plant. Particularly the thermodynamic analyses ofintegrating backpressure turbine ofa power plant with distillation units have been considered. Some practical examples such as conventional distillation unit and heat pump are used as a means of reducing primary energy consumption with tangible indications of energy savings. The heat pump distillation is operated via electrical power from the power plant. The exergy efficiency ofthe primary fuel is calculated for different operating range ofthe heat pump distillation. This is then compared with a conventional distillation unit that depends on saturated steam from a power plant as the source of energy. The results obtained show that heat pump distillation is an economic way to save energy if the temperaturedifference between the overhead and the bottom is small. Based on the result, the energy saved by the application of a heat pump distillation is improved compared to conventional distillation unit.

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