Article
Green & Sustainable Science & Technology
Tomasz Cholewa, Alicja Siuta-Olcha, Andrzej Smolarz, Piotr Muryjas, Piotr Wolszczak, Lukasz Guz, Constantinos A. Balaras
Summary: This study introduces a simple new method to enhance the energy efficiency of existing buildings by predicting short-term heat power demand for optimal operation of heating systems. The addition of equivalent indoor temperature in the prediction method improves accuracy, and five profiles were proposed to select the most accurate one for specific buildings.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Zhiguo Wang, Haoyu Chen, Xiao Sun, Haibing Lu, Tianyi Wang
Summary: Dealing with the severe energy and climate change situation, reducing carbon emissions and developing new energy sources have become a global consensus. The design of clean energy heating systems, such as solar collectors and air source heat pumps, has received widespread attention. However, optimizing parameters in hybrid heating systems, like solar-air hybrid source heat pumps, that interact with each other remains challenging and requires further study. Using the TRNSYS simulation platform, performance parameters were modified to reduce annual costs with the particle swarm optimization and coordinate search method. The results show significant enhancements in system performance using both algorithms.
Article
Energy & Fuels
C. R. Mahesha, Mritha Ramalingam, S. Sujith, P. Kalyanasundaram, N. B. Soni, G. Nalinashini, S. Suresh Kumar, Ravishankar Sathyamurthy, V. Mohanavel
Summary: Smart cities need to eliminate waste and improve efficiency by saving energy, protecting the environment, etc. However, it is difficult for impoverished towns to achieve these goals due to lack of funds and technology. The research aims to find technically feasible renewable energy solutions for poor communities to improve living conditions.
Article
Construction & Building Technology
Mohd Herwan Sulaiman, Zuriani Mustaffa
Summary: This paper presents a simulation study on optimizing user comfort and energy consumption in smart buildings. The research aims to achieve high occupant comfort while minimizing energy usage. The study considers thermal comfort, visual comfort, and indoor air quality as fundamental parameters for measuring user comfort. By collecting data from temperature, illumination, and CO2 sensors, smart building systems can optimize energy usage and ensure occupant comfort. The proposed Evolutionary Mating Algorithm (EMA) is compared to other well-known algorithms, demonstrating its effectiveness in achieving optimum comfort with minimal energy consumption.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Chemistry, Analytical
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, Isabel de la Torre Diez, Juan Luis Vidal Mazon, Carmen Lili Rodriguez, Imran Ashraf
Summary: This study focuses on building energy consumption prediction using a data-driven approach. An ensemble model is proposed to achieve better prediction for cooling and heating load. The study finds that relative compactness, surface area, and wall area play a significant role in determining the appropriate cooling and heating load for a building. The proposed model outperforms existing state-of-the-art models in terms of prediction accuracy and can contribute to the design of energy-efficient buildings in future smart homes.
Article
Construction & Building Technology
Xinyi Li, Runming Yao
Summary: The building sector is a significant contributor to global energy consumption and carbon emissions. By combining physical modeling and data-driven methods, accurate predictions of heating and cooling energy consumption can be made to support building retrofit policies.
ENERGY AND BUILDINGS
(2021)
Article
Chemistry, Multidisciplinary
Lyu Zhou, Haomin Song, Nan Zhang, Jacob Rada, Matthew Singer, Huafan Zhang, Boon S. Ooi, Zongfu Yu, Qiaoqiang Gan
Summary: This emerging sustainable technology uses two spectrally selective mirrors to absorb sunlight and redirect thermal emission, achieving high cooling power density in a controlled laboratory environment. Under standard atmospheric pressure, it achieved cooling 14 degrees C below ambient temperature in the laboratory environment, and over 12 degrees C temperature reduction in outdoor testing.
CELL REPORTS PHYSICAL SCIENCE
(2021)
Article
Thermodynamics
Naseer Ahmad Khan, Asif Hussain Khoja, Naveed Ahmed, Fahid Riaz, Mariam Mahmood, Majid Ali, M. A. Kalam, M. A. Mujtaba
Summary: The purpose of this study is to explore the possibility of using solar energy in an oil refinery to reduce fossil fuel consumption and greenhouse gas emissions. With the help of ASPEN HYSYS model and TRNSYS software, a Parabolic Trough Collector (PTC)-based solar heating system coupled with a thermal energy storage (TES) system is proposed. The results show that this hybrid heating system can achieve significant cost savings, reduce greenhouse gas emissions, and provide a steady heat supply.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Shaoliang Zhang, Shuli Liu, Jihong Wang, Yongliang Li, Zhibin Yu
Summary: Insufficient heating capacity and low coefficient of performance have hindered the application of air source heat pump systems in cold regions. This study proposes an indirect expansion solar-assisted air source heat pump system to improve the heating performance. An optimized control method is proposed to tackle the refrigerant redistribution problem. The experimental results show that the solar heat pump mode has a higher coefficient of performance compared to the air source heat pump mode.
APPLIED THERMAL ENGINEERING
(2023)
Article
Construction & Building Technology
Mohammad Jalalizadeh, Rima Fayaz, Shahram Delfani, Hassan Jafari Mosleh, Maryam Karami
Summary: A new trigeneration system combining glazed building integrated photovoltaic-thermal collectors and an absorption cooling system is proposed to meet the thermal and electrical energy demands of a residential building in this study. Dynamic simulation and model development show that the system can significantly reduce building energy consumption.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Thermodynamics
Pengli Yuan, Lin Duanmu, Zongshan Wang, Songtao Gao, Huifan Zheng
Summary: This study proposes a novel solar-biomass energy heating system, investigates its thermal performance and its impact on energy consumption and emissions. The results show that the system significantly reduces energy consumption and carbon dioxide emissions, while considering the dynamic thermal environment required by rural households.
APPLIED THERMAL ENGINEERING
(2024)
Article
Green & Sustainable Science & Technology
Mansour Jalali, Ahmad Banakar, Behfar Farzaneh, Mehdi Montazeri
Summary: This article introduces the design of a solar heating system, which aims to reduce energy consumption in a poultry farm. By using double-glazed windows and insulation for the exterior walls, energy consumption is drastically reduced, and the required annual gas consumption is equal to 11,833 m(3). The results showed that a solar collector with a surface area of 26 m(2) and an optimal slope of 45 degrees is needed to provide 100% of the energy.
Article
Materials Science, Multidisciplinary
Haijun Han, Hongyan Zhou, Ouyang Dong, Junjie Ma
Summary: An integrated solar heating system with a new type of phase change material (PCM) was developed and tested in a building. The PCM was found to provide stability and continuity in heating, with an average temperature increase of 4.6 degrees C compared to rooms without PCM. The system achieved energy savings of approximately 45% during one heating period.
Article
Energy & Fuels
Yanfeng Liu, Deze Hu, Xi Luo, Ting Mu
Summary: Considering the abundance of solar energy resources and the dispersed building distribution in rural areas, deploying a centralized-decentralized hybrid solar heating system can achieve optimal heating results both technically and economically in rural Chinese areas.
Article
Chemistry, Physical
Ehsan Baniasadi, Masoud Ziaei-Rad, Mohammad Amin Behvand, Nader Javani
Summary: This study presents an analysis of energy, exergy and exergy-economic of a novel system to meet the energy and water demands of a residential building. The system uses solar and geothermal energies and consists of various components such as electrolyser, fuel cell, photovoltaic system, and a desalination system. The results show high energy and exergy efficiencies in cooling and heating modes, with the photovoltaics and organic Rankine cycle contributing to the largest exergy destruction.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Mechanical
Mostafa Khazaee, Amir H. D. Markazi, Saeed T. Rizi, Behzad Seyfi
NONLINEAR DYNAMICS
(2017)
Article
Engineering, Civil
Alireza Mousavi, Amir H. D. Markazi, Saleh Masoudi
LATIN AMERICAN JOURNAL OF SOLIDS AND STRUCTURES
(2017)
Article
Engineering, Civil
Alireza Mousavi, Amir H. D. Markazi, Saleh Masoudi
LATIN AMERICAN JOURNAL OF SOLIDS AND STRUCTURES
(2017)
Article
Engineering, Mechanical
Seyyed M. Hasheminejad, Amir H. Rabiee, A. H. D. Markazi
JOURNAL OF ENGINEERING MECHANICS
(2018)
Article
Computer Science, Artificial Intelligence
Hamed Navvabi, A. H. D. Markazi
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2019)
Article
Automation & Control Systems
Hamed Navvabi, A. H. D. Markazi
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2018)
Article
Engineering, Mechanical
Seyyed M. Hasheminejad, Amir H. Rabiee, A. H. D. Markazi
JOURNAL OF ENGINEERING MECHANICS
(2018)
Article
Automation & Control Systems
Alireza Mousavi, Amir H. D. Markazi, Esmaeel Khanmirza
Summary: This study presents a new framework that combines Adaptive Fuzzy Sliding-Mode Control (AF-SMC) with off-policy Reinforcement Learning (RL) algorithm to control nonlinear under-actuated agents. The framework uses graphical games to achieve near-optimal leader-follower consensus. The coefficients of the sliding variables are adaptively tuned policies to achieve an optimal compromise between tracking performance and control efforts.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Mohsen Khodadadi, Amir H. D. Markazi
Summary: This paper introduces a new method for controlling input-affine nonlinear switched systems. The method interprets the effects of switched dynamics as model uncertainty and tunes coefficients adaptively to achieve a minimal state-varying bound. It has the advantage over conventional sliding mode control schemes as it does not require information about dynamic equations or switching conditions in the control design stage.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2022)
Article
Automation & Control Systems
Amir Hossein Davaie Markazi, Mohsen Khodadadi
Summary: This research focuses on controlling a class of MIMO state-delayed nonlinear systems with switching conditions that depend on the delayed states. The key concept is to consider the dynamic changes brought by switching between sub-systems as an uncertainty bounded by a certain polynomial of the delayed states norm. The challenge of managing a delayed switched system is changed to the simpler problem of controlling a delayed non-switched system via an extended AFSMC approach with just one sliding surface. New adaptation laws are proposed within the general framework of the direct AFSMC scheme to estimate unknown coefficients of the uncertainty bound polynomial and parameters.
IET CONTROL THEORY AND APPLICATIONS
(2023)
Article
Automation & Control Systems
Alireza Mousavi, Amir H. D. Markazi
Summary: This study proposes a new adaptive fuzzy sliding-mode control method to tackle the leader-follower consensus problem of uncertain non-square nonlinear systems with input saturation and dead-zone. The proposed method transforms the dynamic equations of every agent into fully-actuated multi-input/multi-output nonlinear systems using auxiliary inputs based on the weighted pseudo-inverse theory. By employing adaptation laws and Lyapunov function, the method computes the output vectors of fuzzy systems and upper bounds of approximation errors to ensure closed-loop asymptotic stability. The effectiveness of the method is verified through leader-follower consensus control of a group of REMUS autonomous underwater vehicles.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Alireza Mousavi, Amir Hossein Davaie-Markazi, Antonella Ferrara
Summary: This study proposes a near-optimal learning-based approach for sliding-mode control of uncertain nonsquare nonlinear systems subject to output constraints. A reinforcement learning algorithm is used to compute the near-optimal values of the sliding manifold coefficients. The presented method does not require prior knowledge of the system dynamics.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Amir Hossein Davaie Markazi, Mohammad Maadani, Seyed Hassan Zabihifar, Nafiseh Doost-Mohammadi
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING
(2018)
Article
Automation & Control Systems
Alireza Mousavi, Amir H. Davaie-Markazi, Saleh Masoudi
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2018)
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)