Article
Construction & Building Technology
Vasco Zeferina, F. Ruth Wood, Rodger Edwards, Wei Tian
Summary: This study examined the sensitivity of cooling demand related results in a large office building using two global sensitivity analysis methods. The findings showed that changes in peak demand were more significant than in annual demand, with ventilation rate being the parameter that contributed the largest for the uncertainty in electricity demand of the HVAC end-use.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Saeed Rahgozar, Maziar Dehghan, Abolfazl Pourrajabian, Hamidreza Haghgou
Summary: The study investigates the economic feasibility of ice energy-storage systems in a typical office building under different climatic conditions. Results show that the payback period is highly sensitive to climatic conditions, storage strategy, and electricity tariff, with a nearly one order of magnitude difference in payback period between very hot zones and hot zones using the partial storage strategy.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Md Masud Rana, Akhlaqur Rahman, Moslem Uddin, Md Rasel Sarkar, Sk. A. Shezan, Md. Fatin Ishraque, S. M. Sajjad Hossain Rafin, Mohamed Atef
Summary: This paper presents a comparative analysis of a categorical variable decision tree algorithm (CVDTA) with the general capacity addition technique for peak shaving performance evaluation in an isolated microgrid (IMG) system. The results show that the CVDTA algorithm outperforms the capacity addition technique in reducing peak demand and achieving energy savings and cost reduction.
Article
Energy & Fuels
Mahdi Ghafoori, Moatassem Abdallah, Serena Kim
Summary: This study presents the development of a system that can predict building electricity demand and determine optimal schedules for charging and discharging electric vehicles to minimize peak demand. The system uses machine learning models to predict electrical power demand and an optimization model to identify the best charging and discharging schedules. The implementation of this system provides practical solutions for managing electricity demand in commercial buildings.
Article
Construction & Building Technology
Yuchen Ju, Juha Jokisalo, Risto Kosonen
Summary: Short-term thermal energy storage techniques can effectively reduce peak power and accommodate more intermittent renewable energies in district heating systems. This paper investigated the potential of peak shaving through the integration of a thermal storage tank into a substation of a Finnish office building.
Article
Construction & Building Technology
Hongsen Shi, Qian Chen
Summary: The study comprehensively evaluated the performance of 12 existing HVAC cooling strategies using a simulation model, with findings showing that demand-limiting control methods performed well and achieved the highest energy reduction ratios, while the RC network-based precooling optimization resulted in the highest electricity cost savings.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Energy & Fuels
Bowen Ding, Jie Chen, Yi He, Wei Liu, Liuping Chen, Junhui Xu, Yichao Rui
Summary: This paper proposes an underground flow battery storage (UFBS) system that uses a salt cavern as an electrolyte reservoir and combines wind and solar power. Potential areas for UFBS were identified in eastern, southern, and northwestern China. A numerical simulation model was established to analyze the long-term stability of the system under different operating conditions and found that the system had good stability. This study provides a novel and feasible solution for large-scale energy storage in salt-rich regions of China.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Israr Ahmed, Jamal Umer, Abdullah Altamimi, Ahmad Raza Khan Rana, Zafar A. A. Khan, Muhammad Imran, Muhammad Awais, Saeed Alyami
Summary: The heat loss through the building envelope is mainly due to air leaks through cracks and windows, with windows being the weakest part of the thermal envelope. A systematic approach is needed to analyze the selection of glass for buildings. This study aims to analyze the energy-saving potential of different glasses and their payback time in terms of energy saving. The results of the quantitative simulation study show that performance glasses with a tint have better energy-saving efficiency, with a payback time of 3-7 months. Among all glasses, float glass contributes the most to the total cooling load, while tinted double-glazed glass contributes the least.
Article
Energy & Fuels
Imad Ait Laasri, Abdelkader Outzourhit, Mohamed Oualid Mghazli
Summary: This study presents a comparative analysis of 96 building cases using EnergyPlus simulation software and the integrated PCM hysteresis model. Different building forms, constructions, PCM types, and HVAC scenarios were evaluated to assess indoor air temperature fluctuation reduction, energy efficiency, and PCM activation. The results demonstrate significant energy savings, temperature fluctuation reduction, and potential for PCM activation.
Article
Energy & Fuels
Zhenpeng Hong, Zixuan Wei, Jianlin Li, Xiaojuan Han
Summary: This paper proposes a data-driven method for analyzing the capacity demand of energy storage participating in grid auxiliary peak shaving, and studies the relationship between peak shaving pressure of the grid and energy storage capacity by establishing models and solving them using algorithms. The effectiveness of the method is verified through simulation analysis, providing a theoretical basis for energy storage participating in grid auxiliary services.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Construction & Building Technology
Ying Yu, Jinshuai Chou, Yuanwei Xiao, Liu Yang
Summary: This study proposes a method for classifying building complexes to assess their solar energy potential, and generates a potential map based on solar radiation. The method shows good classification performance in the experiment conducted in Xi'an city.
ENERGY AND BUILDINGS
(2023)
Article
Green & Sustainable Science & Technology
Wenfei Wang, Ning Kang, Fang He, Xiaoping Li
Summary: This study focuses on the impact of operating characteristics of office buildings in cold regions on carbon emissions. By conducting numerical simulations of different operating conditions for HVAC and lighting systems, it is found that implementing a mixed mode of ventilation and natural ventilation, as well as intelligent lighting, can effectively reduce unsatisfied hours and energy consumption, leading to a reduction in carbon emissions.
Article
Thermodynamics
Arash Khalilnejad, Roger H. French, Alexis R. Abramson
Summary: This study proposed a new data-driven approach to evaluate HVAC cooling systems in commercial buildings and identify savings opportunities. Retail and office buildings demonstrate the highest potential for savings, and the number of cooling degree days and base to peak ratio were identified as the most important variables for predicting cooling system consumption.
Article
Automation & Control Systems
Mohamed Toub, Rush D. Robinett, Mahdi Shahbakhti
Summary: The world is shifting towards cleaner and sustainable power generation to combat climate change. Renewable energy sources are now the preferred technologies, but their intermittency poses challenges to the power grid's stability. Integrating MicroCSP and thermal energy storage with HVAC systems allows buildings to control their loads and support the power grid through demand response services.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Energy & Fuels
Marcello De Falco, Marco Salvatori, Alessandro Zaccagnini
Summary: An innovative cold energy storage technology based on Phase Change Materials (PCM) is presented and experimentally validated, aiming to optimize performance by solidifying PCM for energy storage. The system is capable of fully charging and discharging the tank in a short period of time, demonstrating its efficiency in cold energy management.
JOURNAL OF ENERGY STORAGE
(2021)
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.