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Clean Heating and Energy Efficient Use

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B2: Clean Energy".

Deadline for manuscript submissions: closed (11 May 2023) | Viewed by 3406

Special Issue Editors


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Guest Editor
School of Architecture, Harbin Institute of Technology, Harbin 15000, China
Interests: low-carbon smart heating; digital platform of multi-energy complementary supply systems; fault diagnostics and reliability analysis for heating systems; clean heating and energy efficiency; heating parameter identification and control optimization

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Guest Editor
School of Architecture, Harbin Institute of Technology, Harbin 15000, China
Interests: urban smart energy systems; prediction and analysis about the indoor physical environment; comprehensive evaluation for the environment and the energy efficiency of low-carbon urban regions
School of Energy and Environment Engineering, Hebei University of Technology, Tianjin 300401, China
Interests: heating system modeling; model calibration; heating control and optimization; energy efficiency; energy systems; energy storage
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Special Issue Information

Dear Colleagues,

With the emerging challenge in the environment and energy, many countries have committed to reducing carbon emissions. Recently, the heating industry has begun shifting from fossil fuel to a more sustainable future. This change will have a significant impact since heating accounts for about half of the building energy consumption, and about 80% of direct CO2 emissions. However, the application of clean heating still has many challenges, such as energy structure planning, system design, control strategy, etc.

Therefore, this Special Issue aims to collect research papers that contribute to the development of clean heating and scientific results that improve the energy efficiency of heating systems.

The topics of interest include but are not limited to:

  • Clean heating technology;
  • Smart heating;
  • Optimal operation of renewable energy in heating systems;
  • Fault diagnostics in heating systems;
  • Multienergy complementary supply systems;
  • Occupancy prediction and detection;
  • Demand side management;
  • Renewable energy transition;
  • Planning of future heating systems;
  • Machine learning in heating systems;
  • Digital twin of heating systems.

Prof. Dr. Zhigang Zhou
Prof. Dr. Jing Liu
Dr. Jinda Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • clean heating
  • sustainability in heating systems
  • energy efficiency
  • smart heating
  • low-carbon heating

Published Papers (3 papers)

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Research

16 pages, 7768 KiB  
Article
Analysis of Flow and Pressure Drop on Tube Side of Spiral Tube Heat Exchanger under Sloshing Conditions
by Fengzhi Li, Zhongyun Tian, Yiqiang Jiang, Wenke Zheng, Jie Chen and Shulei Li
Energies 2023, 16(14), 5263; https://doi.org/10.3390/en16145263 - 9 Jul 2023
Cited by 1 | Viewed by 1205
Abstract
The utilization of the spiral tube heat exchanger (SHE) has become increasingly prevalent in large-scale liquefaction processes. However, the flow pattern and frictional pressure drop of two-phase flow in the spiral tube have been scarcely studied, particularly under offshore sloshing conditions. An experimental [...] Read more.
The utilization of the spiral tube heat exchanger (SHE) has become increasingly prevalent in large-scale liquefaction processes. However, the flow pattern and frictional pressure drop of two-phase flow in the spiral tube have been scarcely studied, particularly under offshore sloshing conditions. An experimental system had been developed to explore the flow pattern and frictional pressure drop characteristics of mixed hydrocarbon fluid in a spiral tube. Moreover, these have been developed in order to examine the effects of sloshing style (roll, pitch, heave), sloshing period (5–15 s), sloshing amplitude (5–15° or 50–150 mm), mass flux (200–800 kg/(m2·s)), vapor quality (0–1), and saturation pressure (2–4 MPa) on the frictional pressure drop of methane/ethane mixture in the spiral tube. The results indicated that sloshing conditions reduce the frictional pressure drop, thereby enhancing fluid flow. A correlation was established to predict the sloshing factor of frictional pressure drop, and the MARD under verification conditions was 6.04%. Furthermore, three flow pattern boundaries were proposed based on We* as an indicator. Full article
(This article belongs to the Special Issue Clean Heating and Energy Efficient Use)
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13 pages, 2293 KiB  
Article
Analysis of Condensation Flow and Heat Transfer Characteristics Inside Spiral Tubes
by Fengzhi Li, Jie Chen, Yiqiang Jiang and Wenke Zheng
Energies 2023, 16(11), 4323; https://doi.org/10.3390/en16114323 - 25 May 2023
Cited by 2 | Viewed by 907
Abstract
Spiral wound tube heat exchanger (SWHE) was confirmed as the core equipment of natural gas liquefaction (LNG). However, there was rare experimental research on large-scale SWHE for LNG, and the theory of heat transfer is not perfect. To investigate the tube-side flow and [...] Read more.
Spiral wound tube heat exchanger (SWHE) was confirmed as the core equipment of natural gas liquefaction (LNG). However, there was rare experimental research on large-scale SWHE for LNG, and the theory of heat transfer is not perfect. To investigate the tube-side flow and heat transfer characteristics in spiral tubes, an experimental system was proposed. To ensure the accuracy of the experimental data, the heat transfer coefficients of liquid propane under different conditions were measured, and the data acquired through the experiment were compared with two classical heat transfer correlation (Dittus–Boelter and Geielinski) under the identical working conditions. The applicability of the existing correlation was analyzed using the experimental data, and a novel heat transfer correlation was developed. As indicated by the results, the deviation between the experimental system and the classical correlation under the identical working condition was lower than ±10%. Furthermore, the error comparison between the novel correlation prediction value and the experimental data was less than ±15%. Full article
(This article belongs to the Special Issue Clean Heating and Energy Efficient Use)
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18 pages, 4650 KiB  
Article
A New Time-Series Fluctuation Study Method Applied to Flow and Pressure Data in a Heating Network
by Shuai Zhao, Huizhe Cao, Jiguang Zhu, Jinxiang Chen and Chein-Chi Chang
Energies 2023, 16(6), 2709; https://doi.org/10.3390/en16062709 - 14 Mar 2023
Viewed by 1036
Abstract
The key to achieving smart heating is the rational use of large amounts of data from the heating network. However, many current relevant studies based on generalized mathematical methods are unable to accurately describe the physical relationships between pipe network variables. In order [...] Read more.
The key to achieving smart heating is the rational use of large amounts of data from the heating network. However, many current relevant studies based on generalized mathematical methods are unable to accurately describe the physical relationships between pipe network variables. In order to solve this problem, this paper proposes a new time-series fluctuation research method, which can be applied to the measured data of the hot water heating pipe network. This method is a new approach to identifying step data. Then, we propose the concept of time-series disturbance to quantify the degree of data anomaly. Finally, the results of a case study demonstrate the transfer process of a significant disturbance in the pipe network from the supply end to the return end. The time-series fluctuation method in this paper precisely describes two physical relationships between heating system variables and provides a feasible and convenient new research idea for self-perception and self-analysis of smart heating. Full article
(This article belongs to the Special Issue Clean Heating and Energy Efficient Use)
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