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Processes
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Thermal Energy Storage and Desiccant-Based HVAC System Design for Net...
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Thermal Energy Storage and Desiccant-Based HVAC System Design for Net Zero Energy Building

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (25 March 2023) | Viewed by 1492

Special Issue Editors

Dr. Jubair Shamim

E-Mail Website
Guest Editor
Department of Mechanical Engineering, the University of Tokyo, 7-3-1 Hongo, Bunkyo-ku 113-8656, Japan
Interests: heat transfer; thermodynbamics; adsorption
Dr. Rajagopalan Parameshwaran

E-Mail Website
Guest Editor
Department of Mechanical Engineering, BITS-Pilani, Hyderabad Campus, Secunderabad, Telangana 500078, India
Interests: thermal energy storage; thermal conductivity; phase change materials; micro and nanoencapsulation; thermal energy storage applications
Dr. Palash Kumar Bhowmik

E-Mail Website
Guest Editor
Post-doctoral Research Associate, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Interests: heat transfer experiments; simulations; modeling

Special Issue Information

Dear Colleagues,

Due to a rapid rise in the energy demand of buildings in recent decades, the transition to net zero energy building (NZEB) (100% energy conversion) has been realized globally. For instance, in Europe, the Energy Performance of Building Directive has declared that, from 2019, all the new public buildings and, from 2021, all the new buildings shall be built as nearly zero energy building (nZEB) (70% energy conversion). The U.S. and Canada are also planning to extensively introduce NZEBs between 2020 and 2030, whereas Japan will be adopting NZEB as the building standard from 2030.

According to the International Energy Agency (IEA), a large portion of building energy is spent for space cooling and heating. Therefore, design and implementation of energy efficient cooling and heating technology is of utmost importance to achieve the ambitious NZEB goal. Due to the dramatic advances in synethsis of new functional materials, thermal energy storage using phase change materials (PCM), and heating ventilation and air-conditioning (HVAC) system design using desiccant materials has great potential to reduce the building energy consumption for cooling and heating.

The scope of this Special Issue encompasses any recent developments in the PCM based thermal energy storage and desiccant based HVAC system design that could potentially reduce the primary energy consumption in the buildings. Design, synthesis, characterization and performance evaluation of novel functional metarials, as well as their application in the system, novel system design, and their performance evaluation relating to building energy reduction will be given priority for publication. All the submitted articles will go through standard peer-review process prior to acceptance.

Dr. Jubair A. Shamim
Dr. Rajagopalan Parameshwaran
Dr. Palash Kumar Bhowmik
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. Processes is an international peer-reviewed open access monthly 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 2400 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

  • phase change materials
  • thermal energy storage
  • micro and nanoencapsulation
  • desiccant based dehumidification
  • adsorption
  • HVAC
  • net zero energy building
  • cooling and heating systems
  • energy efficiency in buildings

Published Papers (1 paper)

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Research

18 pages, 4526 KiB  
Article
Adaptive Optimization Design of Building Energy System for Smart Elderly Care Community Based on Deep Deterministic Policy Gradient
by Chunmei Liu and Zhe Xue
Processes 2023, 11(7), 2155; https://doi.org/10.3390/pr11072155 - 19 Jul 2023
Viewed by 1107
Abstract
In smart elderly care communities, optimizing the design of building energy systems is crucial for improving the quality of life and health of the elderly. This study pioneers an innovative adaptive optimization design methodology for building energy systems by harnessing the cutting-edge capabilities [...] Read more.
In smart elderly care communities, optimizing the design of building energy systems is crucial for improving the quality of life and health of the elderly. This study pioneers an innovative adaptive optimization design methodology for building energy systems by harnessing the cutting-edge capabilities of deep reinforcement learning. This avant-garde method initially involves modeling a myriad of energy equipment embedded within the energy ecosystem of smart elderly care community buildings, thereby extracting their energy computation formulae. In a groundbreaking progression, this study ingeniously employs the actor–critic (AC) algorithm to refine the deep deterministic policy gradient (DDPG) algorithm. The enhanced DDPG algorithm is then adeptly wielded to perform adaptive optimization of the operational states within the energy system of a smart retirement community building, signifying a trailblazing approach in this realm. Simulation experiments indicate that the proposed method has better stability and convergence compared to traditional deep Q-learning algorithms. When the environmental interaction coefficient and learning ratio is 4, the improved DDPG algorithm under the AC framework can converge after 60 iterations. The stable reward value in the convergence state is −996. When the scheduling cycle of the energy system is between 0:00 and 8:00, the photovoltaic output of the system optimized by the DDPG algorithm is 0. The wind power output fluctuates within 50 kW. This study realizes efficient operation, energy saving, and emission reduction in building energy systems in smart elderly care communities and provides new ideas and methods for research in this field. It also provides an important reference for the design and operation of building energy systems in smart elderly care communities. Full article
(This article belongs to the Special Issue Thermal Energy Storage and Desiccant-Based HVAC System Design for Net Zero Energy Building)
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