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You searched for subject:(hybrid solar CCHP). Showing records 1 – 2 of 2 total matches.

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1. James, Jean-Ann. Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions.

Degree: PhD, Civil and Environmental Engineering, 2015, Georgia Tech

Urban regions play a major role in the global economy and are responsible for a majority of the earth’s resource consumption. Water and energy are the two main growth limiting resources of an urban region and are highly interdependent. Increasing urbanization therefore means that there will be an increase in the demand for water, energy, and their associated infrastructure systems. Greater demand for water and energy also means that there will be an increase in the emissions generated to supply these resources to an urban region. In order for urban areas to become more sustainable, they must meet the resource demands of the population, provide resilient infrastructure to distribute these resources, and become more efficient in supplying these resources. Decentralized energy systems can improve the resiliency and efficiency of energy generation in an urban region while reducing the emissions generated. Combined cooling, heating and power (CCHP) systems are more efficient than conventional energy generation systems as they can simultaneously generate electricity, useful heat and cooling in the combustion process. The heat generated can be used to meet the heating demand, and with an absorption chiller, the cooling demand of a building. Adding solar photovoltaics to this system will further decrease the emissions and water consumption that result from the energy generation process. The objective of this work was to determine the efficacy of implementing CCHP systems, with and without solar photovoltaics, for five generic building types in the Atlanta metropolitan region, and the economic and environmental impacts of these systems under various loading strategies. CCHP systems were modeled using air-cooled microturbines and absorption chillers to match the thermal (heating, cooling, and hot water) load of the 5 building prototypes. The 5 prototypes consisted of 3 commercial and 2 residential buildings. The CCHP systems were modeled to operate under various thermal loading strategies to determine the best strategy to minimize costs, emissions, and water consumption for energy generation. The prototype buildings were then used to estimate the projected energy consumption of residential and commercial buildings in the 13-county Atlanta metropolitan region and determine the emissions and water for energy impact of conventional versus CCHP systems. Solar photovoltaics were then added to the CCHP system to determine the optimum PV area required for a given building and feed in tariff. These investigations found that operating microturbines to follow the thermal load of a given building results in the greatest reduction in CO2 emissions, and operating the turbine constantly to meet the maximum annual thermal demand results in the greatest NOx and water for energy reductions. A net metering policy will impact which operational strategy best reduces emissions, water for energy, and cost. When applied to the 13 county Atlanta Metropolitan region, CCHP systems can significantly reduce emissions and water for energy consumption. For… Advisors/Committee Members: Crittenden, John C. (advisor), Thomas, Valerie (committee member), Augenbroe, Godfried (committee member), Burns, Susan (committee member), Chen, Yongsheng (committee member).

Subjects/Keywords: Energy related emissions; water consumption for energy generation; Combined cooling, heating and power (CCHP); Solar photovoltaics; hybrid solar CCHP; optimum PV sizing; CCHP system operation

…building types with a PV-only system 103 Table 12: NOx emissions savings from a CCHP and hybrid… …from a PV-only system 104 Table 14: Annual CO2 emissions savings from a CCHP and hybrid… …with CCHP systems. a) CO2 emissions. b) NOx emissions 45 Figure 17: Proposed hybrid… …of a hybrid PV-CCHP system for a small office building assuming savings from carbon tax… …of implementing CCHP systems, with and without solar photovoltaics, for five generic… 

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

APA (6th Edition):

James, J. (2015). Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56172

Chicago Manual of Style (16th Edition):

James, Jean-Ann. “Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions.” 2015. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/56172.

MLA Handbook (7th Edition):

James, Jean-Ann. “Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions.” 2015. Web. 08 Dec 2019.

Vancouver:

James J. Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/56172.

Council of Science Editors:

James J. Implications of hybrid decentralized energy systems composed of solar photovoltaics and combined cooling, heating and power systems within olarge urban regions. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/56172

2. Nosrat, Amir. Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms .

Degree: Mechanical and Materials Engineering, 2016, Queens University

Two identified strategies to reduce GHG emissions that threaten the global climate stability include 1)the utilization of renewable sources of energy such as solar electricity from photovoltaic (PV) devices and 2)more efficient use of fossil fuels. While electricity production through PV is considerably less harmful than conventional sources of electricity, its intermittency and frequent mismatch between peak production and peak loads has proven to be a major obstacle to wide-scale implementation. As such, coupling PV with more reliable base load electricity production technologies such as combined heat and power (CHP) has been proposed to have a significant positive impact on increasing utilization and penetration levels. To test this theory, first the simulation and optimization platform was developed to utilize these strategies for a hybrid PV and combined cooling, heating, and power (CCHP) systems aimed at both reducing life cycle costs (LCC) and emissions using multi-objective genetic algorithms. The developed platform was focused on Canada‘s residential end-use energy sector and was created as a stepping stone for larger decentralized communal residential, commercial/institutional, and industrial applications. Simulations run with the platform found that the optimization of the PV-CCHP system led to a fuel energy utilization of 83%, compared to a theoretical upper limit of 85%. These values can be compared to 68% for PV+CHP systems that did not account for cooling loads, which show the technical superiority of CCHP systems hybridized to PV. In addition, these results showed that photovoltaic grid penetration can be increased to 24% with the implementation of a distributed network of hybrid PV-CCHP systems. Furthermore, the optimized systems demonstrated significantly lower emission intensities when compared to centralized and residential scale electricity plants and residential heating equipment. While implementation of these systems provide the highest benefits in emission-intensive grids such as Alberta and Halifax, their use in hydro-intensive provinces (ie. Quebec and British Columbia) was found to have potentially rewarding environmental benefits as well depending on fuel types and efficiencies of heating systems.

Subjects/Keywords: Cogen; Cogeneration; CHP; Combined Heat and Power; CCHP; Combined Cooling, Heating, and Power; Energy; Energy Conservation; Greenhouse Gas Emissions; Emission Reductions; Optimization; Photovoltaic; Solar Photovoltaic; Solar Penetration Level; Solar Energy; Trigeneration; Renewable Energy; Hybrid PV-CHP

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

APA (6th Edition):

Nosrat, A. (2016). Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nosrat, Amir. “Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms .” 2016. Thesis, Queens University. Accessed December 08, 2019. http://hdl.handle.net/1974/13932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nosrat, Amir. “Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms .” 2016. Web. 08 Dec 2019.

Vancouver:

Nosrat A. Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms . [Internet] [Thesis]. Queens University; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1974/13932.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nosrat A. Simulation and Optimization of Hybrid Photovoltaic (PV) and Combined Cooling, Heating, and Power (CCHP) Systems Using Multiobjective Genetic Algorithms . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/13932

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.