Parameter analysis of Earth-air heat exchangers over multi-layered soils in South Brazil

Energy consumption is rising around the world and most of the activities in the developed countries are dependent on electric energy. Thermal energy storages are one the ways to reduce energy consumption and balance the electrical power usage during the day. With thermal energy storages, or to be precise, with ice storage systems, energy usage peak can the shifted from the afternoon or early night to low-load hours of morning or midnights. In this study, a 3D unsteady numerical analysis was done in order to examine an ice storage system equipped with serpentine tube heat exchanger. The influence of two geometrical parameters, namely, tube diameter and serpentine tube row distance were investigated. The examined range for diameter and the serpentine tube row spacing were 15–21 and 30–100 mm, respectively. The results showed that placing the serpentine tube rows more distant to each other increases the ice formation so that the ice formation rate for the highest serpentine tube row distance compared to when the serpentine tube row distance is the lowest is higher by 24.68%. On the contrary, with a larger tube diameter, the rate of ice formation was decreased so that the smallest diameter had almost 5.9% more ice formation rate in comparison with the case with the largest tube diameter.

https://link.springer.com/content/pdf/10.1007/s42452-019-1316-4.pdf

Numerical simulation of solidification process in an ice-on-coil ice storage system with serpentine tubes

Soil temperature (ST) plays a key role in the processes and functions of almost all ecosystems, and is also an essential parameter for various applications such as agricultural production, geothermal development, and their utilization. Although numerous machine learning models have been used in the prediction of ST, and good results have been obtained, most of the current studies have focused on daily or monthly ST predictions, while hourly ST predictions are scarce. This paper presents a novel scheme for forecasting the hourly ST using weather forecast data. The method considers the hourly ST prediction to be the superposition of two parts, namely, the daily average ST prediction and the ST amplitude (the difference between the hourly ST and the daily average ST) prediction. According to the results of correlation analysis, we selected nine meteorological parameters and combined two temporal parameters as the input vectors for predicting the daily average ST. For the task of predicting the ST amplitude, seven meteorological parameters and one temporal parameter were selected as the inputs. Two submodels were constructed using a deep bidirectional long short-term memory network (BiLSTM). For the task of hourly ST prediction at five different soil depths at 30 sites, which are located in 5 common climates in the United States, the results showed the method proposed in this paper performs best at all depths for 30 stations (100% of all) for the root mean square error (RMSE), 27 stations (90% of all) for the mean absolute error (MAE), and 30 stations (100% of all) for the coefficient of determination (R2), respectively. Moreover, the method adopted in this study displays a stronger ST prediction ability than the traditional methods under all climate types involved in the experiment, the hourly ST produced by it can be used as a driving parameter for high-resolution biogeochemical models, land surface models and hydrological models and can provide ideas for an analysis of other time series data.

https://www.mdpi.com/1999-4893/13/7/173/pdf

Modeling Hourly Soil Temperature Using Deep BiLSTM Neural Network

Experimental research on the performance of ice thermal energy storage device based on micro heat pipe arrays

Analysis of the soil heat balance of a solar-ground source absorption heat pump with the soil-based energy storage in the transition season

Experimental investigation of ice melting system with open and closed ice-storage tanks combined internal and external ice melting processes

Parameter analysis of single U-tube GHE and dynamic simulation of underground temperature field round one year for GSHP

The invention discloses a three-phase energy storage and heat supply integrated heat supply system, and belongs to the field of solar heat pumps An absorption type refrigerating working medium takesa lithium bromide-water solution as an energy storage medium, and the three-phase energy storage technology overcomes the risks caused by crystallization of traditional solar energy absorption heat pump solutions, the steam-liquid-solid three-phase energy storage capacity is enhanced, the energy storage density is obviously improved compared with the gas-liquid two-phase energy storage mode, and the volume ratio of the energy accumulator can be reduced by more than one half than that of a two-phase energy storage mode Particularly, the system uses a water storage tank of the three-phase energy storage system in the daytime to be condensed into liquid heat release through water vapor to realize heat supply, meanwhile, the heat is stored in an energy storage tank in the form of lithium bromide aqueous solution chemical potential energy, the system realizes synchronous heat supply and energy storage, the absorption heat is released by utilizing the absorber at night to realize heat supply and all-day operation, the solar energy utilization rate is effectively improved, the soil heat is used as a low-temperature heat source, renewable energy sources are fully utilized, and the methodplays an important role in protecting and improving the ecological environment

Three-phase energy storage and heat supply integrated heat supply system

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Meize Yu

Author Tools

Chat about Author

Papers

Experimental investigation of ice melting system with open and closed ice-storage tanks combined internal and external ice melting processes

Parameter analysis of single U-tube GHE and dynamic simulation of underground temperature field round one year for GSHP

Three-phase energy storage and heat supply integrated heat supply system