Article
Construction & Building Technology
Christos Tsolkas, Evangelos Spiliotis, Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Summary: Reducing greenhouse gas emissions and energy cost in the building sector requires effective energy management. This paper proposes a modular methodology that schedules the operating hours of the building's heating/cooling system using thermal comfort forecasts to ensure minimal energy consumption. The approach utilizes indoor air temperature and relative humidity forecasting models, as well as a data-driven algorithm to predict and maintain thermal comfort levels. Empirical evaluation shows improved user satisfaction and significant energy savings.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Naji Sirhan, Saar Golan
Summary: Thermal Comfort (TC) is an important environmental parameter affecting human well-being, yet not routinely monitored in public settings with high occupancy. Linear regression and Support Vector Machine regression can reasonably estimate PMV values, with linear computation being exponentially faster and requiring less expertise. Improving computation efficiency while maintaining accuracy is crucial for future TC models in conserving energy in public environments.
ENERGY AND BUILDINGS
(2021)
Review
Construction & Building Technology
Saman Taheri, Paniz Hosseini, Ali Razban
Summary: Intelligent buildings use predictive technologies to optimize HVAC systems, reducing energy consumption while maintaining comfort. Model predictive control is an effective management method that can enhance energy efficiency by considering multiple objectives.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Energy & Fuels
Xucheng Chang, Bing Kong
Summary: This article presents the application of the EETCMPC method in household heat metering buildings, which can effectively reduce energy consumption and provide thermal comfort control.
Article
Thermodynamics
Kilian Edwards, Mattia De Rosa, Donal P. Finn
Summary: A novel control strategy requiring minimal input data is proposed to optimize fan speed and reduce energy consumption in fan coil units. Different control models are implemented to predict capacities and total power consumption. Results show significant energy savings compared to fixed speed settings.
APPLIED THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Yaw-Shyan Tsay, Ruijun Chen, Chen-Chi Fan
Summary: This study aimed to research the balance between thermal comfort, productivity, and energy conservation of air-conditioning systems in office buildings in Taiwan. The results showed that the optimum temperature for achieving the best productivity was 27 degrees C for men and 25 degrees C for women, with an energy-saving potential of around 9.1% using thermal comfort control.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Dana Miller, Paul Raftery, Mia Nakajima, Sonja Salo, Lindsay T. Graham, Therese Peffer, Marta Delgado, Hui Zhang, Gail Brager, David Douglass-Jaimes, Gwelen Paliaga, Sebastian Cohn, Mitch Greene, Andy Brooks
Summary: The study found that using ceiling fans and air conditioning together in commercial buildings can save a significant amount of compressor energy consumption and improve occupant comfort. This system can automatically control the operation of ceiling fans and air conditioning based on temperature changes, providing better energy efficiency compared to using air conditioning alone.
ENERGY AND BUILDINGS
(2021)
Article
Engineering, Industrial
Francesco Cigarini, Peer Schminkel, Michael Sonnekalb, Pascal Best, Dietmar Gohlich
Summary: This paper presents the results of climate measurements and passenger surveys conducted on an electric bus in Berlin. The study identifies improved thermal settings for the bus cabin to enhance thermal comfort, and highlights the significant variation in climatic conditions inside the bus depending on position and height. The findings suggest that setting the temperature to 21 degrees Celsius can optimize thermal comfort.
APPLIED ERGONOMICS
(2022)
Article
Construction & Building Technology
Xue Feng, Eryan Bin Zainudin, Hong Wen Wong, King Jet Tseng
Summary: Traditional HVAC systems operate on a fixed schedule regardless of occupancy or external temperature. This paper proposes a machine learning-based approach using the ASHRAE RP-884 database to forecast the thermal comfort levels of building occupants. The results show high accuracy and low error in predicting the comfort levels.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Anass Berouine, Radouane Ouladsine, Mohamed Bakhouya, Mohamed Essaaidi
Summary: This paper presents an intelligent control strategy for building energy management systems using optimal control models, aiming to improve energy efficiency and occupants' comfort. By developing a physical model and designing an MPC controller model, real-time predictive control of an air conditioning system for thermal regulation in a single-zone building is achieved. The numerical case study shows that the proposed approach significantly reduces energy consumption while enhancing indoor thermal comfort.
Article
Construction & Building Technology
Jelena Tihana, Aleksandrs Zajacs, Dmitrijs Ivancovs, Baiba Gaujena
Summary: This article studies the relationship between the increase in construction volumes in Latvia and the improvement of living comfort, highlighting the importance of investments by owners to minimize energy consumption.
Article
Thermodynamics
Cihan Turhan, Silvio Simani, Gulden Gokcen Akkurt
Summary: The study aims to improve thermal comfort and energy savings in HVAC systems by developing a thermal comfort-driven control algorithm, which was tested in a real building and shown to increase thermal comfort satisfaction by 92% and reduce energy consumption by 13.2% compared to a conventional PID controller. This prototype is cost-effective and easily deployable in real environments, distinguishing it from other existing works in the field.
Article
Construction & Building Technology
Giuseppe Aruta, Fabrizio Ascione, Nicola Bianco, Gerardo Maria Mauro, Giuseppe Peter Vanoli
Summary: This study explores the use of machine learning techniques to predict the energy performance of a zero energy building in Benevento, Southern Italy. A simulation and optimization framework is used, with artificial neural networks and a genetic algorithm, to minimize heating energy costs and ensure thermal comfort. The results show that optimized control is crucial for sustainable building design, and the proposed framework can be implemented in real-time for model predictive control.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Giacomo Segala, Roberto Doriguzzi-Corin, Claudio Peroni, Matteo Gerola, Domenico Siracusa
Summary: Environmental comfort is crucial for people's well-being and health, and both passive and active strategies are employed in buildings to achieve it. This research proposes an adaptive solution for comfort optimization in HVAC systems, using a convolutional neural network to predict the impact of different actuation strategies on thermal comfort and energy consumption. The results show significant reductions in energy consumption while maintaining the desired thermal comfort.
Article
Construction & Building Technology
Paolo Lenzuni
Summary: The paper describes a method for checking if conditions in a given indoor work environment comply with the relevant limit of acceptability for thermal comfort. The proposed method focuses on identifying a representative value of the synthetic thermal comfort index PMV for comparison with the limit of acceptability, while ignoring measurement uncertainties. The results have been used for improving the existing methods for evaluation and assessment of long term comfort by deriving a more appropriate expression for weighting different exposures and identifying a limit of acceptability.
BUILDING AND ENVIRONMENT
(2021)
Article
Mathematics, Applied
Noreen Sher Akbar, Salman Akhtar, Ehnber N. Maraj, Ali E. Anqi, Raad Z. Homod
Summary: This investigation focuses on explaining the heat transfer and entropy generation of Magnetohydrodynamics (MHD) viscous fluid flowing through a ciliated tube. Heat transfer study is of great significance in various biomedical and biological industry problems. The metachronal wave propagation is identified as the main cause of the viscous creeping flow. A low Reynolds number is employed to account for the weaker inertial forces and to satisfy the creeping flow limitations. A large wavelength of the metachronal wave is considered for the cilia movement. Entropy generation is used to analyze the heat transfer through the flow. Numerical solutions are obtained using MATHEMATICA, and exact mathematical solutions are calculated and analyzed with graphs. Streamlines are also plotted, revealing an axially symmetric flow and temperature profile. Both velocity and temperature profiles reach their maximum values in the center of the ciliated tube and decrease towards the boundaries.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Mathematics, Applied
Safia Akram, Alia Razia, Mir Yasir Umair, Tuqa Abdulrazzaq, Raad Z. Homod
Summary: This article discusses the consequences of thermal and concentration convection on peristaltic pumping of hyperbolic tangent nanofluid in a non-uniform channel and the induced magnetic field. The mathematical modeling and induced magnetic field of hyperbolic tangent nanofluid are described, and the governing equations are solved using numerical techniques. The effects of different variables on concentration, temperature, volume fraction of nanoparticles, axial induced magnetic field, magnetic force function, stream functions, pressure rise, and pressure gradient are analyzed graphically.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Engineering, Chemical
Yuguo Gao, Ihab M. T. A. Shigidi, Masood Ashraf Ali, Raad Z. Homod, Mohammad Reza Safaei
Summary: Using various machine learning methods, this study predicted the thermophysical properties of phase change materials (PCM) containing three nanoparticles. Experimental data from the literature were used to establish the relationship between PCM and nanoparticles. The regression algorithms used in this research accurately predicted the properties of the materials.
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
(2023)
Correction
Thermodynamics
Waqar Ahmed, Omer A. Alawi, Ali H. Abdelrazek, Zaher Mundher Yaseen, Mayadah W. Falah, Omar A. Hussein, Mahmoud Eltaweel, Raad Z. Homod, Nor Azwadi Che Sidik
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Thermodynamics
Waqar Ahmed, Omer A. Alawi, Ali H. Abdelrazek, Zaher Mundher Yaseen, Mayadah W. Falah, Omar A. Hussein, Mahmoud Eltaweel, Raad Z. Homod, Nor Azwadi Che Sidik
Summary: In this study, the heat transfer performance of different concentrations of zinc nanosphere-based nanofluids in a heat exchanger was evaluated using both experimental and numerical methods. The results showed that the highest concentration of nanofluids exhibited the best energy transportation. The findings are of great significance for improving the efficiency of heat exchangers in the chemical and petrochemical industries.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Energy & Fuels
Ahmed Kadhim Hussein, Mohammed El Hadi Attia, Husham Jassim Abdul-Ammer, Muesluem Arici, Mohamed Bechir Ben Hamida, Obai Younis, Raad Z. Homod, Awatef Abidi
Summary: In this research, low-cost energy storage materials were used to enhance the performance of single-slope solar distillers. The conventional distiller was modified by adding salt balls and sponges to the basin at different water depths. The findings showed that using these energy storage materials significantly increased the productivity of the modified solar distillers.
Article
Multidisciplinary Sciences
Hussein Togun, S. Hamidatou, Hayder I. Mohammed, Azher. M. Abed, Husam Abdulrasool Hasan, Raad Z. Homod, Ali Wadi Al-Fatlawi, Mohaimen Al-Thamir, Tuqa Abdulrazzaq
Summary: This study investigates the thermal behavior and aerodynamic phenomena in a heated channel with varied rib configurations using computational fluid dynamics simulations. Incorporating ribs in such systems enhances heat transfer but increases flow resistance and manufacturing costs. Understanding heat exchanger theory, measurement methods, and numerical calculations are crucial for creating efficient heat exchangers.
Article
Construction & Building Technology
Raad Z. Homod, Zaher Mundher Yaseen, Ahmed Kadhim Hussein, Amjad Almusaed, Omer A. Alawi, Mayadah W. Falah, Ali H. Abdelrazek, Waqar Ahmed, Mahmoud Eltaweel
Summary: Chillers account for almost half of the energy demand in buildings, making control systems for multi-chiller crucial for achieving optimal balance between indoor thermal comfort and energy efficiency. The proposed DCCMARL algorithm combines deep clustering and cooperative multi-agent reinforcement learning to effectively control the system and achieve significant energy savings. The results demonstrate that the agents' ability to manipulate the behavior of the building can improve indoor thermal conditions and save up to 44.5% energy compared to conventional methods.
JOURNAL OF BUILDING ENGINEERING
(2023)
Review
Education & Educational Research
Amjad Almusaed, Asaad Almssad, Ibrahim Yitmen, Raad Z. Z. Homod
Summary: Hybrid learning combines face-to-face and online learning, utilizing multimedia materials and traditional classroom methods. Researchers are exploring the use of AI to increase student engagement in hybrid learning settings. As online and hybrid education gain popularity, educational institutions are adopting this model for its flexibility, engagement, and interaction among students and teachers. AI can revolutionize hybrid education by enhancing autonomy for both students and instructors, while creating a more engaging and interactive learning environment.
EDUCATION SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Umer Masood, Saif Haider, Muhammad Rashid, Mohammed Suleman Aldlemy, Chaitanya B. Pande, Bojan Durin, Raad Z. Homod, Fahad Alshehri, Ismail Elkhrachy
Summary: In this study, hydrological modeling was used to assess the impacts of climate and land use changes on the Khanpur Dam catchment area. The results showed that precipitation is predicted to increase, leading to higher inflows in the future.
Article
Energy & Fuels
Nabeel S. Dhaidan, Ali F. Hassan, Asseel M. Rasheed Al-Gaheeshi, Fadhel Noraldeen Al-Mousawi, Raad Z. Homod
Summary: Experimental research shows that inserting fins can enhance the heat transfer efficiency in phase change material energy storage systems, with circular perforated fins being the most effective, reducing the melting time the most.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Raad Z. Homod, Ghazwan Noori Saad Jreou, Hayder Ibrahim Mohammed, Amjad Almusaed, Ahmed Kadhim Hussein, Wael Al-Kouz, Hussein Togun, Muneer A. Ismael, Hussein Alawai Ibrahim Al-Saaidi, Omer A. Alawi, Zaher Mundher Yaseen
Summary: Due to the influence of nonlinearities and high delay time, a hybrid model combining white-box and black-box approaches is developed to handle the behavior of a complex oil field system in Iraq. This model effectively represents the large data sets and achieves optimal fitness to measured values. The conversion of fuzzy rules into a multilayer perceptron network and the use of clustering technique and Gauss-Newton regression enhance the predictive performance of the hybrid model.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Omer A. A. Alawi, Haslinda Mohamed Kamar, Mayadah W. W. Falah, Omar A. A. Hussein, Ali H. H. Abdelrazek, Waqar Ahmed, Mahmoud Eltaweel, Raad Z. Z. Homod, Nadhir Al-Ansari, Zaher Mundher Yaseen
Summary: Mono, hybrid, and ternary nanofluids were tested in plain and twisted-tape pipes using k-omega shear stress transport turbulence models. The thermal performance and pressure drop of different nanofluids were compared at varying Reynolds numbers. Results showed that the twisted pipe had a higher outlet temperature and better energy utilization than the plain pipe. SiO2/DW exhibited improved heat transfer performance and reduced pressure drop at Re = 9,000. Overall, nanofluids showed superior thermohydraulic performance compared to distilled water, with DW having a higher thermohydraulic efficiency at Re = 15,000.
NANOTECHNOLOGY REVIEWS
(2023)
Article
Energy & Fuels
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.
Article
Energy & Fuels
Raad Z. Homod, Hayder Ibrahim Mohammed, Aissa Abderrahmane, Omer A. Alawi, Osamah Ibrahim Khalaf, Jasim M. Mahdi, Kamel Guedri, Nabeel S. Dhaidan, A. S. Albahri, Abdellatif M. Sadeq, Zaher Mundher Yaseen
Summary: This study proposes a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adds a pre-cooling coil in the air handling unit (AHU) to alleviate the coupling issue in HVAC systems. The DCLTML algorithm shows promising results in controlling HVAC systems, with significant energy savings and improved environmental comfort.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
