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You searched for subject:(Wind Electricity Allocation). Showing records 1 – 2 of 2 total matches.

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Dalhousie University

1. Lakshminarayanan, Harisubramanian. Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating.

Degree: Master of Applied Science, Department of Environmental Engineering, 2012, Dalhousie University

Worldwide, wind energy added to the energy mix of electricity suppliers may be seen as way of improving energy security and reducing greenhouse gas emissions. However, due to wind's variability wind electricity cannot be used to meet demands which require a continuous supply of electricity. One solution to the variability problem is to adopt services that are capable of storing energy for use at a later time. Five new wind-allocation methods are considered to maximize its use of wind-electricity while at the same time reducing emissions. Simulations results, show that households benefit from an annual savings of about 30% to 36% with an estimated payback period ranging between 3.5 and 5.5 years. Emissions reduction in the off-peak scenarios is between 32% and 35% and about 86% in the anytime scenario. Heating demands satisfied ranges between 75% and 96% and total wind used for heating is between 3%-4%. Advisors/Committee Members: Dr. Robert Bauer (external-examiner), Dr. Lei Liu (graduate-coordinator), Dr. Timothy Little (thesis-reader), Dr. Larry Hughes (thesis-supervisor), Not Applicable (ethics-approval), Not Applicable (manuscripts), Not Applicable (copyright-release).

Subjects/Keywords: Energy Security; Wind Electricity Allocation; Allocation Methods; Space Heating; Electric Thermal Storage; Energy Storage

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lakshminarayanan, H. (2012). Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15442

Chicago Manual of Style (16th Edition):

Lakshminarayanan, Harisubramanian. “Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating.” 2012. Masters Thesis, Dalhousie University. Accessed July 23, 2019. http://hdl.handle.net/10222/15442.

MLA Handbook (7th Edition):

Lakshminarayanan, Harisubramanian. “Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating.” 2012. Web. 23 Jul 2019.

Vancouver:

Lakshminarayanan H. Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10222/15442.

Council of Science Editors:

Lakshminarayanan H. Wind Allocation Methods for Improving Energy Security in Residential Space and Hot Water Heating. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15442


Delft University of Technology

2. Shayesteh, E. Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications.

Degree: 2015, Delft University of Technology

Electrical energy is one of the most common forms of energy these days. Consequently, electric power system is an indispensable part of any society. However, due to the deregulation of electricity markets and the growth in the share of power generation by uncontrollable renewable energies such as wind and solar, power system simulations are more challenging than earlier. Thus, new techniques for simplifying these simulations are needed. One important example of such simplification techniques is the power system reduction. Power system reduction can be used at least for four different purposes: a) Simplifying the power system simulations, b) Reducing the computational complexity, c) Compensating the data unavailability, and d) Reducing the existing uncertainty. Due to such reasons, power system reduction is an important and necessary subject, but a challenging task to do. Power system reduction is even more essential when system operators are facing very large-scale power systems and when the renewable energy resources like hydro, wind, and solar have a high share in power generation. This thesis focuses on the topic of large-scale power system reduction with high penetration of renewable energy resources and tries to pursue the following goals: • The thesis first reviews the different methods which can be used for simplifying the power system studies, including the power system reduction. A comparison among three important simplification techniques is also performed to reveal which simplification results in less error and more simulation time decrement. • Secondly, different steps and methods for power system reduction, including network aggregation and generation aggregation, are introduced, described and discussed. • Some improvements regarding the subject of power system reduction, i.e. on both network aggregation and generation aggregation, are developed. • Finally, power system reduction is applied to some power system problems and the results of these applications are evaluated. A general conclusion is that using power system simplification techniques and specially the system reduction can provides many important advantages in studying large-scale power systems with high share of renewable energy generations. In most of applications, not only the power system reduction highly reduces the complexity of the power system study under consideration, but it also results in small errors. Therefore, it can be used as an efficient method for dealing with current bulk power systems with huge amounts of renewable and distributed generations. Advisors/Committee Members: Söder, L., Herder, P.M..

Subjects/Keywords: power system simplification; power system reduction; power system aggregation; power system equivalencing; renewable energy resources; wind power modelling; storage allocation problem; spinning reserve determination; multi-area power system analyses; power system operation and planning; electricity market analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shayesteh, E. (2015). Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287

Chicago Manual of Style (16th Edition):

Shayesteh, E. “Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287.

MLA Handbook (7th Edition):

Shayesteh, E. “Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications.” 2015. Web. 23 Jul 2019.

Vancouver:

Shayesteh E. Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287.

Council of Science Editors:

Shayesteh E. Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; urn:NBN:nl:ui:24-uuid:3b83ca26-504a-4473-9981-6a1c190ce287 ; http://resolver.tudelft.nl/uuid:3b83ca26-504a-4473-9981-6a1c190ce287

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