4.8 Article

Thermal performance of a window shutter containing PCM: Numerical validation and experimental analysis

Journal

APPLIED ENERGY
Volume 179, Issue -, Pages 64-84

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.06.126

Keywords

Heat transfer; Phase change material (PCM); Simulation; Thermal energy storage (TES); Thermal performance; Validation

Ask authors/readers for more resources

The present paper describes a numerical and experimental testing of a thermal energy storage system (TES) that contains phase change material (PCM). The definitions and assumptions of the developed numerical models to assess the performance and to simulate the thermal energy behavior are presented. The numerical calculation was performed using a computational fluid dynamics (CFD) analysis, and a real scale test cell with two window shutters, one with and the other without phase change materials, was used to validate the numerical model. The windows shutters were applied into two similar compartments that were tested and the thermal behavior was analyzed. The numerical models are based on 2D analysis and the indoor temperature comparison between the experimental and the simulated model are evaluated for both compartment models. To validate and evaluate the data agreement of the numerical results were used the most common statistical indexes (based on ASHRAE, IPMVP) and FEMP). According to the used criteria acceptance, the results of the numerical model presented good agreement and reliability, and the numerical model was considered as calibrated with well prediction data. Comparing the temperature improvement and the time delay between both compartments, the compartment with the PCM window shutter (i) decreased the maximum indoor temperature up to 8.7% for the warming period, (ii) increased 16.7% the minimum indoor temperature for the night period and (iii) increased the time delay 1 h for the maximum temperature peak and 30 min for the minimum temperature peak, compared with the reference compartment. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Physical

Experimental and Numerical Simulation of a Radiant Floor System: The Impact of Different Screed Mortars and Floor Finishings

Ricardo M. S. F. Almeida, Romeu da Silva Vicente, Antonio Ventura-Gouveia, Antonio Figueiredo, Filipe Rebelo, Eduardo Roque, Victor M. Ferreira

Summary: The radiant floor system market is growing rapidly due to Europe's transition towards a low-carbon economy and increased awareness about environmental sustainability and energy efficiency. This study investigates the impact of screed mortar formulations and floor finishing materials on the system's performance through experimental and modeling approaches.

MATERIALS (2022)

Article Chemistry, Multidisciplinary

Real-Scale Experimental Evaluation of Energy and Thermal Regulation Effects of PCM-Based Mortars in Lightweight Constructions

Manuel Andres, Filipe Rebelo, Alvaro Corredera, Antonio Figueiredo, Jose L. Hernandez, Victor M. Ferreira, Luis A. Bujedo, Romeu Vicente, Francisco Morentin, Jesus Samaniego

Summary: The addition of phase change materials (PCMs) into mortars as an indoor wall coating for lightweight buildings can help guarantee thermal comfort conditions. This research studied the effects of mortars incorporating microencapsulated PCMs with different operating temperature ranges. The experimental results showed that the incorporation of PCM-based indoor coating panels reduced indoor temperature fluctuations, lowered energy consumption, and caused a time delay in temperature waves.

APPLIED SCIENCES-BASEL (2022)

Article Energy & Fuels

The Impact of Thermal Inertia on the Indoor Thermal Environment of Light Steel Framing Constructions

Eduardo Roque, Romeu Vicente, Ricardo M. S. F. Almeida, Victor M. Ferreira

Summary: The lightweight steel framing (LSF) construction system is becoming increasingly popular in Southern Europe, but little research has been done on its indoor thermal environment. This study evaluates and compares the indoor thermal environment of LSF and masonry construction systems, with a focus on thermal inertia.

ENERGIES (2022)

Review Energy & Fuels

Outline of the incorporation of phase change materials in radiant systems

M. Moreira, J. Dias-de-Oliveira, C. Amaral, F. Neto, T. Silva

Summary: This article provides an overview of the use of phase change materials (PCM) in radiant systems, including their techniques, challenges, advantages, and disadvantages. The incorporation of PCM in building solutions has the potential to improve energy efficiency and reduce energy consumption. The article focuses on PCM macroencapsulated floors in radiant systems and reviews existing literature to lay the foundation for future research. However, there are some research gaps, such as the lack of information on climatic conditions, macroencapsulation techniques, and a standardized method for comparing PCM solutions in building envelopes.

JOURNAL OF ENERGY STORAGE (2023)

Review Engineering, Geological

A systematic review on shallow geothermal energy system: a light into six major barriers

Rajendra Babu Roka, Antonio Jose Pereira de Figueiredo, Ana Maria Carvalho Pinheiro Vieira, Jose Claudino de Pinho Cardoso

Summary: Shallow geothermal energy systems are recognized as an important renewable energy source in the global building sector. However, their exploration rate and global contribution are still relatively low. This study aims to identify barriers to the promotion of shallow geothermal energy systems through a systematic review of the literature.

SOILS AND ROCKS (2023)

Article Architecture

Parametric and Machine Learning-Based Analysis of the Seismic Vulnerability of Adobe Historical Buildings Damaged After the September 2017 Mexico Earthquakes

Rafael Ramirez Eudave, Tiago Miguel Ferreira, Romeu Vicente, Paulo B. Lourenco, Fernando Pena

Summary: This study assesses the seismic vulnerability of historical buildings in the central region of Mexico using a parameter-based approach. Data on more than 160 adobe buildings were collected and managed using open-source GIS software, Python-based database management tool, and a cloud-based platform for onsite data collection. The study finds that the parameter-based approach is effective and also trains a Machine Learning algorithm using the database to overcome representativeness limitations of the method.

INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE (2023)

Article Construction & Building Technology

Implementing Open-Source Information Systems for Assessing and Managing the Seismic Vulnerability of Historical Constructions

Rafael Ramirez Eudave, Daniel Rodrigues, Tiago Miguel Ferreira, Romeu Vicente

Summary: This article proposes a novel approach to establish a vulnerability-oriented database linked to external services using open-source tools. The database is applied in a Geographical Information System (GIS) environment to survey the seismic vulnerability of masonry constructions based on an adapted version of the GNDT-II approach. Additionally, a customised Python-based software for reading, managing, and editing the database is presented, which includes calculations for vulnerability index and levels of damage. Furthermore, alternative methods for distributing the database, such as cloud-based distribution and the use of the Transactional Web Feature Service (WFS-T) protocol, are discussed.

BUILDINGS (2023)

Article Polymer Science

Thermal Performance of Multifunctional Facade Solution Containing Phase Change Materials: Experimental and Numerical Analysis

C. Amaral, F. Gomez, M. Moreira, T. Silva, R. Vicente

Summary: This study focuses on the development and analysis of a new multifunctional facade panel incorporating PCM in foam layers. The thermal performance was analysed using a hotbox heat flux meter method, and the main findings are presented. Experimental tests in climatic chambers were used to calibrate and validate numerical simulations using Ansys Fluent, with a correlation factor of 0.9674 achieved. The results show the significant potential of the multi-layered panel with PCM incorporation in regulating indoor space temperature for thermal comfort.

POLYMERS (2023)

Article Construction & Building Technology

Design and Thermal Characterization of Two Construction Solutions with and without Incorporation of Macroencapsulated PCM

Antonio Figueiredo, Filipe Rebelo, Antonio Samagaio, Romeu Vicente, Jorge Lira

Summary: Improving energy efficiency and thermal comfort in buildings is a major goal of the European Union's Renovation Wave initiative. This research focuses on the design of an innovative construction solution using phase change materials (PCMs) to enhance thermal mass and reduce temperature fluctuations. Experimental results show significant reduction in thermal amplitude with the use of the solution containing macroencapsulated PCMs.

INFRASTRUCTURES (2022)

Article Energy & Fuels

Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting

Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou

Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.

APPLIED ENERGY (2024)

Article Energy & Fuels

Evaluation method for the availability of solar energy resources in road areas before route corridor planning

Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan

Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.

APPLIED ENERGY (2024)

Article Energy & Fuels

Impacts of PTL coating gaps on cell performance for PEM water electrolyzer

Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender

Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.

APPLIED ENERGY (2024)

Article Energy & Fuels

Coordinated pricing mechanism for parking clusters considering interval-guided uncertainty-aware strategies

Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado

Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.

APPLIED ENERGY (2024)

Article Energy & Fuels

The establishment of evaluation systems and an index for energy superpower

Duan Kang

Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.

APPLIED ENERGY (2024)

Article Energy & Fuels

A model-based study of the evolution of gravel layer permeability under the synergistic blockage effect of sand particle transport and secondary hydrate formation

Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang

Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.

APPLIED ENERGY (2024)

Article Energy & Fuels

Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach

Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi

Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.

APPLIED ENERGY (2024)

Article Energy & Fuels

Asymmetry stagger array structure ultra-wideband vibration harvester integrating magnetically coupled nonlinear effects

Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong

Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.

APPLIED ENERGY (2024)

Article Energy & Fuels

Enhancement of hydrogen production via optimizing micro-structures of electrolyzer on a microfluidic platform

Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song

Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system

Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz

Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.

APPLIED ENERGY (2024)

Article Energy & Fuels

Archery-inspired catapult mechanism with controllable energy release for efficient ultralow-frequency energy harvesting

Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He

Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.

APPLIED ENERGY (2024)

Article Energy & Fuels

A novel combined probabilistic load forecasting system integrating hybrid quantile regression and knee improved multi-objective optimization strategy

Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang

Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.

APPLIED ENERGY (2024)

Article Energy & Fuels

Capacity fade prediction for vanadium redox flow batteries during long-term operations

Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung

Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.

APPLIED ENERGY (2024)

Article Energy & Fuels

State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid

Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu

Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.

APPLIED ENERGY (2024)

Article Energy & Fuels

Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings

Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen

Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.

APPLIED ENERGY (2024)