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Record W3089180151

Solar Thermal Geothermal Hybrid System With a Bottoming Supercritical Organic Rankine Cycle

2019· article· en· W3089180151 on OpenAlexfundno aff
Francesca Moloney

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2019
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
FundersCanada Excellence Research Chairs, Government of CanadaNational Science Foundation
KeywordsOrganic Rankine cycleDegree RankineSupercritical fluidRankine cycleEnvironmental scienceWaste managementProcess engineeringPetroleum engineeringThermodynamicsEngineeringWaste heatHeat exchangerPhysicsPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

Climate change has spurred an interest in renewable energy. Many renewable energy technologies are intermittent, such as solar energy, or are dependent on transient conditions such as the ambient temperature in the case of geothermal energy. While solar thermal energy is able to achieve high temperatures and efficiencies, geothermal energy is limited by its lower temperatures which results in low conversion efficiency. There is an opportunity to create a hybrid system using both solar thermal and geothermal energy to improve their stand-alone performance.\nIn the literature, solar-geothermal hybrid systems are limited by the temperature of the solar field and the cycles and fluids used. In this study, a hybrid solar thermal-geothermal system is studied with a combined cycle operating from two temperature sources: the high temperature source is provided by solar power tower (SPT) and geothermal provides the lower temperature. The innovation lies in the implementation of the geothermal source into the combined cycle and the inclusion of a recuperative supercritical organic Rankine cycle (ORC) as the bottoming cycle to further enhance the system and also capable of operating with the geothermal source only. First, an ORC is optimized for geothermal reservoirs with temperatures between 170 and 240°C. It was found that the optimized parameters result in wet fluids achieving lower expansion ratios. Only two fluids were optimized with a subcritical configuration due to proximity to the critical point.\nNext, the combined cycle was developed and optimized. This analysis was performed assuming only one heat source, such as solar energy, being introduced to the topping cycle. Based on the literature review, a recuperative supercritical carbon dioxide Brayton cycle was chosen as the topping cycle. The pressures of both cycles were optimized as well as the approach temperature difference between the two cycles. The same fluids considered in the first analysis were considered in the bottoming recuperative ORC cycle except ethane and carbon dioxide which performed the worst. The optimized conditions were used for the hybrid analysis.\nThree hybrid configurations were analyzed where the geothermal source was introduced to the combined cycle in various locations. In the literature, the most common solar-geothermal hybrid system analyzed was where the solar energy through parabolic troughs was used to add additional heat to either the geothermal source or directly to the working fluid to increase the cycle temperature and efficiency. In one hybrid configuration, the geothermal source was used to superheat the organic Rankine cycle. The two other configurations used geothermal energy to preheat the carbon dioxide after recompression or to reheat it after recuperation and before being introduced to the ORC. The incremental effectiveness due to geothermal heat, i.e., the additional work that is converted from the additional heat added from the geothermal source, was analyzed.\nFinally, the best performing hybrid system for a maximum cycle temperature of 500°C was selected and analyzed transiently with thermal storage. The superheat hybrid configuration with acetone as the working fluid with a recompression topping cycle was chosen. When solar energy and thermal storage was not available, the ORC was run with geothermal energy. As the acetone has a critical temperature above the temperature considered for the geothermal source, it resulted in a subcritical ORC. Subsequently, the power ratio between the sCO2 cycle and ORC was very low. For this configuration, thermal storage was very beneficial to extend the time of high-power production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.154
Teacher spread0.148 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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