Integration enhancements of a solar parabolic trough system in a Chilean juice industry: Methodology and case study

Crespo, Alicia; Muñoz, Iván; Platzer, Werner; Ibarra, Mercedes

doi:10.1016/j.solener.2021.03.041

Cited by 9 publications

(2 citation statements)

References 27 publications

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“…Automatic Processing Business. At present, the automation level of FSSC processing business is still in the basic stage of current accounts with only a/R and a/P accounts and the automatic processing of expenses, especially the carry forward of period expenses, and other information automation applications are less [18]. e reason may be that the accounting subjects under the jurisdiction of costs and expenses need secondary judgment, such as whether the wages of workshop directors should be included in management expenses, manufacturing expenses, or production costs.…”

Section: Optimization Design Of Blockchain Technology For Fsscmentioning

confidence: 99%

Intelligent Optimization of the Financial Sharing Path Based on Accounting Big Data

Zhong-min

2022

Mathematical Problems in Engineering

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In order to solve the problems of inconsistent accounting and untimely accounting information, this paper proposes a research method of intelligent optimization of financial sharing path based on big data of accounting. This paper analyzes the current working situation of the financial sharing service center of large- and medium-sized enterprises and expounds the reasons for the blockchain. The author embeds the blockchain technology in the financial sharing service center, with a view to optimizing the design of the current FSSC’s functions in terms of the scope of daily business work, the effectiveness of accounting information processing, and the utilization of financial analysis decisions, and finally analyzes the corporate effect of applying the financial sharing architecture based on blockchain technology. The results show that compared with the financial sharing score under the traditional mode, the financial sharing score under the blockchain technology is higher, and the former is 69.675 points, and the latter is 80.6340 points. From this, we can conclude that financial sharing under blockchain technology has significant advantages. This framework realizes the effective allocation of enterprise information resources through finance to achieve real industry finance integration.

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Section: Optimization Design Of Blockchain Technology For Fsscmentioning

confidence: 99%

Intelligent Optimization of the Financial Sharing Path Based on Accounting Big Data

Zhong-min

2022

Mathematical Problems in Engineering

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“…The model was validated with the public available performance data; nevertheless, certain differences were observed depending on the technology analyzed. Also employing TRNSYS, Crespo et al [26] analyzed the potential enhancement of an existing parabolic trough collector (PTC) for the production process of a concentrated grape juice factory depending on the integration scheme. The simulation allowed us to assess different integration scenarios that can lead to a significant improvement on solar energy utilization.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes

et al. 2022

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Industrial energy accounts for a large percentage of global consumption and, thus, it is a target for decarbonization by renewable and in particular solar energy adoption. Low uncertainty simulation tools can reduce the financial risk of solar projects, fostering the transition to a sustainable energy system. Several simulation tools are readily available to developers; differences exist in the format of input data and complexity of physical and numerical models. These tools can provide a variety of results from technical to financial and sensitivity analysis, often producing significant differences in yield assessment and uncertainty levels. IEA SHC Task 64/SolarPACES Task IV—Subtask C aims to address the lack of standard simulation tools for Solar Heating of Industrial Processes (SHIP) plants. This article describes the collaborative work developed by the researchers participating in the task. The identification and classification of several currently available simulation tools are performed on the basis of their capabilities and simulation approaches. A case study of solar heat supply to a copper mining operation is defined, allowing a comparison of the results produced by equivalent simulation tools. The proposed methodology identifies the main sources of differences among the simulation tools, the assessment of the deviation considering a series of statistical metrics for different time scales, and identifies their limitations and bias. The effects of physical characteristics of SHIP plants and different simulation approaches are discussed and quantified. The obtained results allow us to develop a basic guideline for a standardized yield assessment procedure with known uncertainties. Creating this common framework could partially reduce the risk perceived by the finance industry regarding SHIP systems.

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Developing Innovations in Parabolic Trough Collectors (PTCs) Based on Numerical Studies

Akbarzadeh

Dehghan

Valipour

et al. 2023

Nanotechnology Applications for Solar Energy Systems

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Integration enhancements of a solar parabolic trough system in a Chilean juice industry: Methodology and case study

Cited by 9 publications

References 27 publications

Intelligent Optimization of the Financial Sharing Path Based on Accounting Big Data

Intelligent Optimization of the Financial Sharing Path Based on Accounting Big Data

Assessing the Uncertainties of Simulation Approaches for Solar Thermal Systems Coupled to Industrial Processes

Developing Innovations in Parabolic Trough Collectors (PTCs) Based on Numerical Studies

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