Development of Economical Analysis and Technical Solutions for Efficient Distribution Transformers
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The document discusses developing economical and technical solutions for efficient distribution transformers. It presents an analysis of various transformer designs to minimize losses and total costs. The analysis considers design parameters like current density, insulation thickness, and magnetic induction. Design surfaces and cost surfaces are constructed to visualize the design possibilities. An optimal design is selected that maximizes cost reduction over 10 years while meeting standards and considering factors like payback period, manufacturing restrictions, and energy costs. A case study finds a potential savings of $220.90/year from a 100kVA transformer design.
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Glier_Defense_Online_Publication
This document presents 14 case studies evaluating the techno-economic performance of solid sorbent-based carbon capture and storage (CCS) at pulverized coal power plants. The case studies find that a solid sorbent CCS system can achieve comparable efficiency to liquid amine systems but with a levelized cost of electricity around $161/MWh. High capital costs, particularly for heat exchangers, contribute significantly to the cost. Additional cases explore the potential effects of sorbent degradation and identify heat exchanger design as an area for cost reduction.
Viva
The document discusses a final year project presentation on applying series capacitor compensation to distribution networks. The presentation covers the project background on series compensation and its benefits. It then discusses the problem statement of unfamiliarity with applying this method to distribution systems. The objectives are to compare series compensation to new line construction for increasing power transfer capability and reducing reactive power losses. The methodology section outlines the 4 project activities - proving the concept, determining optimal location, applying it to a distribution network, and economically evaluating alternatives. Key results found the best compensation level is 75% and optimal location is 2/3 to 3/4 of the line length. Series compensation significantly improved voltage profile and power transfer capability over the alternatives.
Isope topfarm
http://windenergyresearch.org/?p=2836
A wind farm layout optimization framework based on a multi-fidelity model approach is applied to the offshore test case of Middelgrunden, Denmark. While aesthetic considerations have heavily influenced the famous curved design of Middelgrunden wind farm, this work focuses on testing a method that optimizes the profit of offshore wind farms based on a balance of the energy production, the electrical grid costs, the foundations cost, and the wake induced lifetime fatigue of different wind turbine components. The multi-fidelity concept uses cost function models of increasing complexity (and decreasing speed) to accelerate the convergence to an optimum solution. In the EU TopFarm project, three levels of complexity are considered. The first level uses a simple stationary wind farm wake model to estimate the Annual Energy Production AEP, a foundations cost function based on the water depth, and an electrical grid cost function. The second level calculates the AEP and adds a wake induced fatigue cost function based on the interpolation of a database of simulations done for various wind speed and wake setups with the aero-elastic code HAWC2 and the Dynamic Wake Meandering (DWM) model. The third level includes directly the HAWC2 and DWM models in the optimization loop in order to estimate both the fatigue costs and the AEP.
The novelty of this work is the implementation of the multi-fidelity, the inclusion of the fatigue costs in the optimization framework, and its application on an existing offshore wind farm test case.
Paper presented at ISOPE 19-14 June 2011, Maui, Hawaii, USA
P.-E. Réthoré, P. Fuglsang, G.C. Larsen, T. Buhl, T.J. Larsen, H.A. Madsen. TopFarm: Multi-fidelity Optimization of Offshore Wind Farm<. (2011-TCP-1012). ISOPE conference. Maui, Hawaii, USA. 19-24 June 2011.
Siad el quliti economic scheduling the construction of electric transmission
This document discusses using dynamic programming to schedule construction of electric transmission/distribution substations in Jeddah City over a 10-year period to minimize total costs. Electric load was forecasted using regression and neural networks. A dynamic model was formulated with the objective of minimizing investment and operating costs given budget constraints. Parametric analysis showed the optimal solution of 3 substations per year was robust except for extreme changes in costs. Future research areas include incorporating time value of money and simultaneous parameter changes.
The merits and advantages of Ingeteam's third generation MV converters for +1...
The merits and advantages of Ingeteam's third generation MV converters for +1...Ingeteam Wind Energy
As turbine sizes cross the threshold of 10MW, the wind turbine industry’s key supply chain partners must meet the challenge of developing components that enable turbine OEMs to provide machines that reduce LCoE.
Ingeteam’s latest expert report, written in partnership with Windpower Monthly, covers three areas of technological innovation for converters designed specifically for +10MW turbines:
- Voltage level - low voltage (LV) to medium voltage (MV) reduces power losses
- Number of conversion lines (CL)
- Semiconductor chip architectures.
A Generalized Multistage Economic Planning Model for Distribution System Cont...
This document presents a generalized multistage economic planning model for distribution systems containing distributed generation (DG) units. The model minimizes total investment and operation costs over a planning horizon divided into multiple periods, taking into account load growth, equipment capacities and voltages limits. Constraints include power flow equations and logical constraints relating planning periods. The model is applied to a sample 11kV distribution network with one substation, 23 load buses and 32 feeders over 4 annual periods. The mixed integer nonlinear optimization problem is solved using LINGO software to obtain the least-cost expansion plan.
Presentation on Design of DT.pptx
I am writing this letter to apply for electrical engineering position opening you may have in your company. I am interested in working as an electrical engineer regarding power, control and software development.
White Paper, Ericsson, TCO2
Minimizing carbon intensity in telecom networks using TCO techniques is a white paper that discusses:
1) Telecom networks are growing to meet increasing data usage, but operators must ensure carbon emissions do not increase significantly.
2) The TCO2 framework allows operators to evaluate network investment decisions based on both economic and environmental impacts to lower costs and carbon footprint simultaneously.
3) Using TCO2, operators can analyze alternative network designs and efficiency features to maximize energy efficiency and minimize carbon intensity of traffic growth.
IRJET- Optimization of Fink and Howe Trusses
This document describes research on optimizing the weight of different truss configurations, including double fink, triple fink, modified fink, double Howe, and triple Howe trusses. The optimization problem aims to minimize weight by treating cross-sectional areas as design variables, while satisfying stress, buckling, and deflection constraints. An improved sequential linear programming technique is used to solve the optimization problem. The process involves developing a C program for load calculation, using MATLAB for truss analysis, and applying an optimizer based on improved SLP to determine optimized cross-sectional areas. A parametric study is then carried out by varying span, height, and spacing to identify the most economical truss configuration under the given conditions.
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
The document presents an improved particle swarm optimization (IPSO) algorithm for solving the optimal unit commitment problem in power systems. The IPSO algorithm extends the standard PSO algorithm by using additional particle information to control mutation and mimic social behaviors. The algorithm was implemented on the IEEE 14 bus test system in MATLAB. Results showed the IPSO approach committed units to meet load demand over 24 hours while satisfying constraints, with bus voltages maintained between 1.0017 and 1.0751 per unit. Total costs including fuel, startup, and shutdown costs were minimized at each hour.
Ph d thesis_seminar_on the design of energy efficient wireless access_sibelto...
This document provides an outline for a Ph.D. thesis defense on the design of energy efficient wireless access networks. The thesis focuses on assessing energy efficiency at the network level and developing solutions to deploy and operate networks in an energy efficient manner while considering total cost. Key findings include identifying appropriate metrics to assess energy efficiency to avoid misleading results, developing models for backhaul power consumption that show its growing impact, and quantifying potential energy savings of 30% through heterogeneous network architectural solutions that optimize deployment based on traffic demand. Operational solutions like cell dormancy tracking are also analyzed to efficiently match capacity with traffic.
Similar to Development of Economical Analysis and Technical Solutions for Efficient Distribution Transformers (20)
Cost Optimal Design of a Single-Phase Dry Power Transformer
Cost Optimal Design of a Single-Phase Dry Power Transformer
Electricity Demand Side Management and End-use efficiency
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Electricity Demand Side Management (DSM) and End-use Efficiency
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A New Solution to Improve Power Quality of Renewable Energy Sources Smart Gri...
Siad el quliti economic scheduling the construction of electric transmission
Siad el quliti economic scheduling the construction of electric transmission
The merits and advantages of Ingeteam's third generation MV converters for +1...
The merits and advantages of Ingeteam's third generation MV converters for +1...
A Generalized Multistage Economic Planning Model for Distribution System Cont...
A Generalized Multistage Economic Planning Model for Distribution System Cont...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
Optimal Unit Commitment Based on Economic Dispatch Using Improved Particle Sw...
Ph d thesis_seminar_on the design of energy efficient wireless access_sibelto...
Ph d thesis_seminar_on the design of energy efficient wireless access_sibelto...
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A new generation of instruments and tools to monitor buildings performance
What is the added value of monitoring the flexibility, comfort, and well-being of a building? How can occupants be better informed about the performance of their building? And how to optimize a building's maintenance?
The slides were presented during a webinar and roundtable with a focus on a new generation of instruments and tools to monitor buildings' performance, and their link with the Smart Readiness Indicator (SRI) for buildings as introduced in the EU's Energy Performance of Buildings Directive (EPBD).
Link to the recordings: https://youtu.be/ZCFhmldvRA0
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A recording of this presentation can be viewed at:
https://youtu.be/aC0h4cXI9Ug
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Retrofitting the building stock is a challenging undertaking in many respects - including costs. Can it nevertheless qualify as a measure under the Energy Efficiency First principle? Which methods can be applied for the assessment and what are the results in terms of the cost-effectiveness of retrofitting the entire residential building stock? How do the results differ for minimization of energy use, CO2 emissions and costs? And which policy conclusions can be drawn?
This presentation was used during the 18th webinar in the Odyssee-Mure on Energy Efficiency Academy on February 3, 2022.
A link to the recording: https://youtu.be/4pw_9hpA_64
How auction design affects the financing of renewable energy projects
Recording available at https://youtu.be/lPT1o735kOk
Renewable energy auctions might affect the financing of renewable energy (RE) projects. This webinar presents the results of the AURES II project exploring this topic. It discusses how auction designs ranging from bid bonds to penalties and remuneration schemes impact financing and discusses creating a low-risk auction support framework.
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This is the 17th webinar in the Odyssee-Mure on Energy Efficiency Academy.
Recordings are available on: https://youtu.be/KIewOQCgQWQ
Energy Efficiency Funds in Europe
(see updated version of this presentation:
https://www.slideshare.net/sustenergy/energy-efficiency-funds-in-europe-updated)
The Energy Efficiency First Principle is a key pillar of the European Green Deal. A prerequisite for its widespread application is to secure financing for energy efficiency investments.
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This is the 17th webinar in the Odyssee-Mure on Energy Efficiency Academy.
Recordings are available on: https://youtu.be/KIewOQCgQWQ
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A fascinating output of the project so far is the “Guidance on Standardized saving methodologies (energy, CO2 and costs)” for a first round of five so-called Priority Actions. This Guidance will assist EU member states in more accurately calculating savings for a set of new energy efficiency actions.
This webinar presents this Guidance and other project findings to the broader community, including industry and markets.
AGENDA
14:00 Introduction to streamSAVE
(Nele Renders, Project Coordinator)
14:10 Views from the EU Commission and the link with Fit-for-55 (Anne-Katherina Weidenbach, DG ENER)
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14:55 Country experiences: the added value of standardized methods (Elena Allegrini, ENEA, Italy)
The recordings of the webinar can be found on https://youtu.be/eUht10cUK1o
Recent energy efficiency trends in the EU
This webinar analyses energy efficiency trends in the EU for the period 2014-2019 and the impact of COVID-19 in 2020 (based on estimates from Enerdata).
The speakers present the overall trend in total energy supply and in final energy consumption, as well as details by sector, alongside macro-economic data. They will explain the main drivers of the variation in energy consumption since 2014 and determine the impact of energy savings.
Speakers:
Laura Sudries, Senior Energy Efficiency Analyst, Enerdata
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The recordings of the presentation (webinar) can be viewed at:
https://youtu.be/8RuK5MroTxk
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Watch the recordings of the webinar:
https://youtu.be/i1Jdd3H05t0
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Speaker:
Wolfgang Eichhammer (Head of the Competence Center Energy Policy and Energy Markets @Fraunhofer Institute for Systems and Innovation Research ISI)
The recordings of this webinar can be watched via:
https://youtu.be/TS6PxIvtaKY
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Energy Sufficiency Indicators and Policies (Lea Gynther, Motiva)
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This is the 13th edition of the Odyssee-Mure on Energy Efficiency Academy, and number 519 in the Leonardo ENERGY series. The recording of the live presentation can be found on https://www.youtube.com/watch?v=jEAdYbI0wDI&list=PLUFRNkTrB5O_V155aGXfZ4b3R0fvT7sKz
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Direct coil cooling through hollow wire
dynamic E flow GmbH provides high-tech electric machines and solutions for extreme applications. Their capcooltech® motor features direct winding cooling that enables current densities up to 100A/mm2 and overload capacities. Testing shows the capcooltech® design maintains temperatures 40°C lower and heats 10 times faster than conventional cooling. The direct cooling test bench demonstrates capcooltech® motors can achieve maximum power density, temperature resistance, precision, and dynamics even in harsh conditions like vacuum or high temperatures.
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The document calls for an updated assessment of the electric motor system market in Europe, as the existing data is over 20 years old. It notes several changes in the market since then, including new efficient motor technologies, lower costs for power electronics, and increased digitization. The document highlights findings from a recent 2021 US motor study, which found motors to be older than previously estimated and significant improvements in load factors and variable speed drive penetration compared to past studies. It concludes that a new comprehensive assessment is needed to identify large potential electricity savings and inform policies to accelerate market transformation.
Efficient motor systems for a Net Zero world, by Conrad U. Brunner - Impact E...
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Development of Economical Analysis and Technical Solutions for Efficient Distribution Transformers
- 1. Development of Economical Analysis and Technical Solutions for Efficient Distribution Transformers Federal University of Itajubá and AES Sul Utility Company Brazil
- 5. Manufacturing and Total Costs Surfaces
- 13. Optimal Design Based on the Surfaces The local minimum point results in a design in which the purchase price is not attractive to the customer. Because of this, global minimum points located between the local minimum and the costs presented by a standard transformer can be attractive economical solutions.
- 14. Optimal Design Related to the Time Supplying the Maximum Rated Power It is possible to express the concept that for each TSMP there are several efficient transformers to supply the load. Some of them have the “best” manufacturing characteristic and therefore are a logical choice. In theory this is the “optimal technical and economical solution”
- 15. Optimal Design Related to the Time Supplying the Maximum Rated Power Energy cost of 59.87 US$/MWh, Interest rate of 8% per year and 10 years analysis period.
- 16. Optimal Design Related to the Time Supplying the Maximum Rated Power 23.68 1.66 4.04 10 32.52 2.17 4.34 9 25.50 0.90 4.66 8 24.87 1.93 4.67 7 28.10 0.64 4.78 6 33.42 2.01 4.84 5 29.88 1.46 4.91 4 29.84 3.03 5.35 3 30.11 2.70 5.40 2 30.36 3.15 5.60 1 33.60 4.44 5.66 0 Reduction of Load Losses [%] Reduction of No-Load Losses [%] Reduction of Total Cost [%] k
- 17. Optimal Design Related to the Time Supplying the Maximum Rated Power 0.8604 51.51 2.38 4.04 10 1.1801 70.64 3.31 4.34 9 0.9125 54.36 2.02 4.66 8 0.9068 54.29 1.98 4.67 7 0.9996 59.84 3.26 4.78 6 1.2092 72.39 3.00 4.84 5 1.0757 64.40 2.49 4.91 4 1.0995 65.82 2.22 5.35 3 1.1036 66.07 2.20 5.40 2 1.1195 67.02 2.06 5.60 1 1.3248 75.09 2.50 5.66 0 Energy Saved [MWh/Year] Operational Cost Reduction per unit, [US$/Year] Pay-back, [Years] Reduction of the Total Cost [%] k
- 20. Optimal Design Related to the Time Supplying the Maximum Rated Power
- 21. Optimal Design Related to the Time Supplying the Maximum Rated Power Energy cost of 59.87 US$/MWh, Interest rate of 8% per year and 10 years analysis period.
- 22. Optimal Design Related to the Time Supplying the Maximum Rated Power Magnetic Induction of Silicon Steel (E004) 1.68 Watts/kg 0.016 7.73 4.45 3 0.030 8.28 2.68 2 0.035 8.84 1.94 1 0.041 8.84 1.18 0 Energy Saved [MWh/Year] Reduction of No-Load Losses [%] Pay-back, [years] k
- 23. Optimal Design Related to the Time Supplying the Maximum Rated Power
- 24. Optimal Design Related to the Time Supplying the Maximum Rated Power Magnetic Induction of Silicon Steel 1.52 Watts/kg The strong Goss orientation of grain oriented Silicon Steel is developed by secondary recrystallization. 15.46 3 16.57 2 16.57 1 17.12 0 Reduction of No-Load Losses [%] k
- 25. Optimal Design Related to the Time Supplying the Maximum Rated Power
- 26. Study Case 100 kVA Single-phase oil-immersed distribution Transformer: Pay-back = 1.4 year Saved money = 220.9 US$/year
- 27. Study Case