Article
Green & Sustainable Science & Technology
Bartosz Chwieduk, Dorota Chwieduk
Summary: This paper analyzes the use of a PV system driving a heat pump in a low energy house in the Polish climate during winter. It calculates the energy output, duration of the heating season, and daily operation time to determine the contribution of the PV system to the total energy required for driving the heat pump.
Article
Green & Sustainable Science & Technology
Yingbo Zhang, Chao Shen, Chunxiao Zhang, Guoquan Lv, Cheng Sun, Dorota Chwieduk
Summary: This study proposed a new leaf-like heat exchanger based on bionics to improve the heat control of the PVT collector, resulting in a lower and more uniform temperature distribution on solar cells. The new leaf-like heat exchanger reduced the average temperature of solar cells, had a smaller pressure drop compared to conventional heat exchangers, and achieved a total efficiency 4.36% higher than that of traditional PVT collectors.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2021)
Article
Energy & Fuels
Hanna Jedrzejuk, Dorota Chwieduk
Summary: The paper analyzes the refurbishment possibilities of Warsaw's residential buildings towards Positive Energy District standards. The city's energy consumption and carbon dioxide emissions are significant, with a diverse range of building types and energy demands. Overcoming barriers such as ownership, financing, and legal restrictions is crucial for achieving positive energy status.
Article
Green & Sustainable Science & Technology
Chunxiao Zhang, Chao Shen, Yingbo Zhang, Cheng Sun, Dorota Chwieduk, Soteris A. Kalogirou
Summary: The study developed a spectral splitting PV/T system utilizing Ag nanofluid to balance heat and electricity harvesting in buildings. Indoor experimental results showed that increased solar radiation had negligible impact on electrical efficiency, while increasing optical thickness or mass fraction reduced electricity yield but increased heat utilization.
Review
Green & Sustainable Science & Technology
Salman Soltanian, Soteris A. Kalogirou, Meisam Ranjbari, Hamid Amiri, Omid Mahian, Benyamin Khoshnevisan, Tahereh Jafary, Abdul-Sattar Nizami, Vijai Kumar Gupta, Siavash Aghaei, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: The growing volume of municipal solid waste (MSW) generated worldwide often undergoes open dumping, landfilling, or uncontrolled burning, releasing massive pollutants and pathogens into the soil, water, and air. On the other hand, MSW can be used as a valuable feedstock in biological and thermochemical conversion processes to produce bioenergy carriers, biofuels, and biochemicals in line with the United Nations' Sustainable Development Goals (SDGs). Valorizing MSW using advanced technologies is highly energy-intensive and chemical consuming.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Homa Hosseinzadeh-Bandbafha, Abdul-Sattar Nizami, Soteris A. Kalogirou, Vijai Kumar Gupta, Young-Kwon Park, Alireza Fallahi, Alawi Sulaiman, Meisam Ranjbari, Hassan Rahnama, Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei
Summary: This article reviews the existing literature on the life cycle assessment (LCA) analysis of waste cooking oil (WCO) biodiesel production and identifies the state-of-the-art, research gaps, and future research opportunities in this field. Although environmental assessment of biodiesel production using LCA is well-established, there are still limitations and concerns, such as neglecting waste management and inadequate data.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
A. Mellit, M. Benghanem, S. Kalogirou, A. Massi Pavan
Summary: In this paper, a novel embedded system is introduced for remote monitoring and fault diagnosis of photovoltaic systems. The system utilizes machine learning algorithms on a low-cost edge device for real-time deployment. An artificial neural network is developed to detect faults, and an effective stacking ensemble learning algorithm is used to classify the nature of the faults. The performance of the method is evaluated using common error metrics, and additional algorithms are embedded into the edge device to remotely control the photovoltaic array parameters.
Article
Thermodynamics
Jihong Pu, Chao Shen, Lin Lu
Summary: In this statement, the authors express their gratitude for the funding support received from the National Natural Science Foundation of China (No. 52178071).
Review
Thermodynamics
Mohammad Kiani-Moghaddam, Mohsen N. Soltani, Soteris A. Kalogirou, Omid Mahian, Ahmad Arabkoohsar
Summary: The concept of the energy hub (EH) is promising for evaluating multi-carrier integrated energy systems (IESs) at various scales. Existing literature on multi-carrier EH-based IESs has matured adequately for broad scales, but there is confusion and lack of clarity for limited-scale EH-based IESs. Additionally, complex studies involving uncertainties in decision-making variables, objective functions, and parameters require careful consideration for realistic conditions and effective optimization. This review paper aims to address these gaps by identifying and analyzing uncertain input parameters, proposing solution approaches, and discussing future research trends in multi-carrier EH-based IESs studies.
Review
Thermodynamics
Maria Herrando, Kai Wang, Gan Huang, Todd Otanicar, Osama Bany Mousa, Rafaela A. Agathokleous, Yulong Ding, Soteris Kalogirou, Ned Ekins-Daukes, Robert A. Taylor, Christos N. Markides
Summary: In this paper, the authors provide a comprehensive overview of hybrid PV-T collectors and their applications, as well as assess their worldwide energy and carbon mitigation potential. They review experimental and computational studies, identify opportunities for performance enhancement and collector innovation, and analyze the implications of wider PV-T system deployment. The paper also evaluates the carbon mitigation potential of promising PV-T systems and addresses challenges and recommendations for the adoption of PV-T technology.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Nick Rigogiannis, Ioannis Perpinias, Ioannis Bogatsis, Ioannis Roidos, Nick Vagiannis, Athanasios Zournatzis, Anastasios Kyritsis, Nick Papanikolaou, Soteris Kalogirou
Summary: Greenhouse gases from road transport propulsion systems pose a significant challenge to achieving the goals outlined in the Paris Agreement. Efforts to substitute conventional combustion engines with electric motors and electrochemical storage systems are underway to reduce fossil fuel usage in road transportation. However, limitations in driving range and long charging times hinder the development of electrified mobility. To address this, energy harvesters and regeneration systems are being incorporated into road vehicles, with Vehicle Integrated and Applied Photovoltaics (VIAPVs) showing promise. This study evaluates the performance of four commonly used commercial Maximum Power Point Tracking (MPPT) algorithms, highlighting the impact of poor MPPT performance on power generation in moving vehicles.
Article
Thermodynamics
Jihong Pu, Chao Shen, Lin Lu, Yi Long, Chunxiao Zhang, Yong Shuai, Soteris A. Kalogirou
Summary: Thermal responsive windows have great potential for self-powered solar transmittance. A new design called Ammonia Pressure Powered smart (APPs) window was proposed to overcome the technical obstacles faced by existing thermochromic windows. The APPs window showed significant energy-related advances, including a feasible transition temperature, outstanding solar modulation ability, and high luminous transmittance in both cold and hot states.
ENERGY CONVERSION AND MANAGEMENT
(2024)
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.