2026-09-19T15:04:51Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/882782022-01-13T07:54:05Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
John G. Brisson.
Ireland, Melissa Kara
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2014-07-11T17:13:43Z
2014-07-11T17:13:43Z
2014
2014
http://hdl.handle.net/1721.1/88278
881242075
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 89-90).
Organic Rankine cycle (ORC) systems are gaining ground as a means of effectively providing sustainable energy. Coupling small-scale ORCs powered by scroll expander- generators with solar thermal collectors and storage can provide combined heat and power to underserved rural communities. Simulation of such systems is instrumental in optimizing their control strategy. However, most models developed so far operate at steady-state or focus either on ORC or on storage dynamics. In this work, a model for the dynamics of the solar ORC system is developed to evaluate the impact of highly transient heat sources and sinks, thermal storage, and the variable loads associated with distributed generation. Based on an existing micro-CSP (concentrating solar power) plant, the dynamic model is implemented in the Modelica modeling language. Detailed steady-state component models, which are implemented in EES and validated to data where available, form the basis for the dynamic components. The dynamic model in its current form is used to make qualitative assessments of several control decisions based on realistic solar irradiance input representing four reference days. Future analysis will survey a wider range of environmental conditions to make quantitative determinations on the efficacy of each control decision. The simulations include an approximation for startup and shutdown, which avoids the numerical issues associated with the discontinuities in the working fluid density derivative present during such rapid phase changes. To the author's knowledge, this is the first model capable of continuously simulating through startup and shutdown in addition to coupling a dynamic thermo-dynamic model of the power cycle with dynamic models of the solar collectors and thermal storage tank.
by Melissa Kara Ireland.
S.M.
90 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Dynamic modeling and control strategies for a micro-CSP plant with thermal storage powered by the Organic Rankine cycle
Dynamic modeling and control strategies for a micro-concentrating solar power plant with thermal storage powered by the ORC
Thesis
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<Abstract>Organic Rankine cycle (ORC) systems are gaining ground as a means of effectively providing sustainable energy. Coupling small-scale ORCs powered by scroll expander- generators with solar thermal collectors and storage can provide combined heat and power to underserved rural communities. Simulation of such systems is instrumental in optimizing their control strategy. However, most models developed so far operate at steady-state or focus either on ORC or on storage dynamics. In this work, a model for the dynamics of the solar ORC system is developed to evaluate the impact of highly transient heat sources and sinks, thermal storage, and the variable loads associated with distributed generation. Based on an existing micro-CSP (concentrating solar power) plant, the dynamic model is implemented in the Modelica modeling language. Detailed steady-state component models, which are implemented in EES and validated to data where available, form the basis for the dynamic components. The dynamic model in its current form is used to make qualitative assessments of several control decisions based on realistic solar irradiance input representing four reference days. Future analysis will survey a wider range of environmental conditions to make quantitative determinations on the efficacy of each control decision. The simulations include an approximation for startup and shutdown, which avoids the numerical issues associated with the discontinuities in the working fluid density derivative present during such rapid phase changes. To the author's knowledge, this is the first model capable of continuously simulating through startup and shutdown in addition to coupling a dynamic thermo-dynamic model of the power cycle with dynamic models of the solar collectors and thermal storage tank.</Abstract>
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