Establishment, Validation, and Application of a Comprehensive Thermal Hydraulic Model for a Parabolic Trough Solar Field

Ma, Linrui; Wang, Zhifeng; Lei, Dongqiang; Xu, Long

doi:10.3390/en12163161

Cited by 10 publications

(9 citation statements)

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“…It indicates that even each error can be well controlled, for the reason of the optical system demanding extremely high precision, the comprehensive influence of factors can obviously decrease the facility's performance. For the solar furnace c in Figure 12a, the integral of the heat flux equals to the thermal power of 8.28 kW, which agrees with the value calculated by Equation (22). It can further verify the accuracy of the model.…”

Section: Name Tilt Error In Heliostat Tilt Error In Concentrator Concsupporting

confidence: 80%

“…In this paper, an optical structure of the solar furnace is described. The solar furnace with this design, chosen as the study case, was constructed in the solar thermal power plant in Yanqing, Beijing [21,22]. Four types of optical factors that impact on the concentrated heat flux distribution are analyzed by MCRT simulations: The tilt error of the heliostat, which originates from heliostat facets deviating from the ideal plane; the slope error of the concentrator, referring to the irregular deformation of reflecting curves of the concentrator facets by the surface adjustment approach; the layout error Energies 2019, 12, 3933 3 of 18 of the concentrator, caused by the same or similar shape of facets attached to the concentrator frame; and the tilt error of the concentrator, which arises from concentrator facets tilting.…”

Section: Introductionmentioning

confidence: 99%

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Influences of Optical Factors on the Performance of the Solar Furnace

et al. 2019

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In this paper, an optical structure design for a solar furnace is described. Based on this configuration, Monte Carlo ray tracing simulations are carried out to analyze the influences of four optical factors on the concentrated solar heat flux distribution. According to the practical mirror shape adjustment approach, the curved surface of concentrator facet is obtained by using the finite element method. Due to the faceted reflector structure, the gaps between the adjacent mirror arrays and the orientations of facets are also considered in the simulation model. It gives the allowable error ranges or restrictions corresponding to the optical factors which individually effect the system in Beijing: The tilt error of heliostat should be less than 4 mrad; the tilt error of the concentrator in the orthogonal directions should be both less than 2 mrad; the concentrator facets with the shape most approaching paraboloid would greatly resolve slope error and layout errors arising in the concentrator. Besides, by comparing the experimentally measured irradiance with the simulated results, the optical performance of the facility is evaluated to investigate their comprehensive influence. The results are useful to help constructors have a better understanding of the solar furnace’s optical behavior under conditions of multiple manufacture restrictions.

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Section: Name Tilt Error In Heliostat Tilt Error In Concentrator Concsupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Influences of Optical Factors on the Performance of the Solar Furnace

et al. 2019

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“…The coverings, as a linguistic variable, carry with them the concept of quali ers and forms of fuzzy sets. Three adverbs of fuzzy subsets are chosen as low, medium and high, which allows to establish precise rules without making the system extremely complex [27].…”

Section: Energy Management Strategies With Fuzzy Logic and Neural Net...mentioning

confidence: 99%

Design of an energy management system for microgrids applied to an isolated system incorporating solar thermal energies

Ampuño

Sosa

2022

Preprint

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This chapter presents an hourly energy management system (EMS). The hybrid renewable energy system (HRES) is composed of a hybrid ae-generator system (WT), solar photovoltaic (PV) panels, a diesel generator (DG) and a distributed collector system (DCS) as the primary energy source. The distributed collector system (DCS) consists of a field of parabolic trough collectors that carry solar thermal energy to a power conversion unit to produce electricity, an energy storage system (ESS), the wind turbine, the PV panels and the distributed control system (DCS) are made to work at the maximum power point, while the battery acts as storage. The energy management system (EMS) uses intelligent rule-based controllers to meet the energy demanded by the load and maintain the state of charge (SOC) of the battery between certain target ranges. The controller implemented for this study is a fuzzy logic controller that mimics human understanding of various phenomena that may occur during microgrid operation. The simulation results show that the fuzzy logic-based control meets the objectives established for the energy management system (EMS) of the hybrid renewable energy system (HRES).

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“…Nevertheless, when the plant is very large and the pipes are very long, as happens with existing commercial plants, the energy losses in the pipes play a significant role in calculating the flow distribution. In [23] a mathematical hydraulic model is developed for a 1 MW solar trough plant in China. The paper showed the importance of considering the hydraulic model in these types of plants by implementing two feedforward control approaches tested on a simulation environment.…”

Section: Introductionmentioning

confidence: 99%