Article
Horticulture
Catherine Baxevanou, Dimitrios Fidaros, Chryssoula Papaioannou, Nikolaos Katsoulas
Summary: The climate crisis and energy price increases necessitate the design of greenhouses with a focus on energy supply. Local production of energy from renewable sources is one effective solution. The study explores the optimal design of a hybrid power generation system (photovoltaics/wind turbine/accumulators/oil generating unit) to meet the greenhouse's needs in terms of energy production quality, electricity price, and CO2 emissions. The research takes into account various factors such as production requirements, different energy equipment combinations, solar and wind potential, and energy demand.
Article
Thermodynamics
Andrew Blakers, Matthew Stocks, Bin Lu, Cheng Cheng
Summary: In order to ensure continuous availability of electricity, high levels of variable solar and wind energy must be balanced with alternative generation, storage, transmission, and demand management. Australia's rapid installation of solar and wind energy is a natural experiment showing that the balancing cost may not be as high as previously disputed.
Article
Engineering, Multidisciplinary
Sunay Turkdogan
Summary: This study aimed to address the issues of increasing energy demand, limited fossil fuels, and rising greenhouse gases by designing a hybrid energy system for a single-family household. The cost-effectiveness and attractiveness of the system were highlighted, as well as the potential for further cost reductions in the future. The system, powered solely by renewable energies, has the potential to significantly reduce greenhouse gas emissions and attract widespread interest.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2021)
Article
Green & Sustainable Science & Technology
Dave J. Pojadas, Michael Lochinvar S. Abundo
Summary: This paper presents a four-stage energy modelling framework for siting Variable Renewable Energy (VRE) farms using GIS and CBA, with the first three stages focusing on finding suitable sites and estimating inputs, and the fourth stage performing CBA from the developer's perspective to assess technology viability. The model output includes a viability map and externalities calculation, and can be used for planning and policymaking.
Article
Chemistry, Multidisciplinary
Pavel Kuznetsov, Miroslav Rimar, Boris Yakimovich, Olha Kulikova, Martin Lopusniak, Dmitry Voronin, Vladislav Evstigneev
Summary: Introducing the concept of sustainable development of smart manufacturing to minimize risks associated with energy production and urban development requires specialized solutions that contribute to urban environment development while focusing on innovative technologies. This article discusses the benefits and drawbacks of using combined wind-solar power plants for supplying electricity to smart urban environments.
APPLIED SCIENCES-BASEL
(2021)
Review
Green & Sustainable Science & Technology
Ming Li, Haojie Luo, Shijie Zhou, Gokula Manikandan Senthil Kumar, Xinman Guo, Tin Chung Law, Sunliang Cao
Summary: East and Southeast Asia's advantageous geographical location provides great potential for the development of diverse ocean energy technologies. This review paper examines the flexibility and feasibility of emerging ocean energy technologies in the region, including wave, tidal, and ocean-current energy converters, floating photovoltaics, and offshore wind turbines. Despite advancements and attention, these technologies still face significant techno-economic and techno-environmental challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Yuhan Wang, Dev Millstein, Andrew D. Mills, Seongeun Jeong, Amos Ancell
Summary: As solar energy becomes a larger part of total electricity generation, forecasting errors for solar energy are becoming more important in terms of overall load uncertainty and potential costs to electricity systems. This study examines the costs of day-ahead solar forecast errors for existing solar power plants in the United States. The results show relatively low costs for forecast errors, with only a loose correlation to the level of solar penetration.
Article
Green & Sustainable Science & Technology
Giovanni Bianco, Barbara Bonvini, Stefano Bracco, Federico Delfino, Paola Laiolo, Giorgio Piazza
Summary: The EU has proposed a clean energy package to transition from fossil fuels to cleaner energy sources for improving citizens' quality of life and urban livability. Key topics include renewable energy exploitation, building energy performance improvement, national energy and climate plans, polygeneration microgrids, and energy communities. These initiatives aim to optimize the use of green energy sources and reduce energy costs and emissions in urban areas.
Article
Energy & Fuels
Andrea Michiorri, Anna Maria Sempreviva, Sean Philipp, Paula Perez-Lopez, Alain Ferriere, David Moser
Summary: Research and innovation in renewable energy are crucial for the green transformation of energy systems. The ongoing digital transformation provides valuable data, but challenges such as missing data management and data sharing reluctance need to be addressed. Creating a taxonomy can help users find relevant data for further analysis.
Article
Green & Sustainable Science & Technology
H. Martin, R. Buffat, D. Bucher, J. Hamper, M. Raubal
Summary: Switzerland is making rapid progress in decarbonizing the transport and energy sectors through the introduction of battery electric vehicles (BEV) and the expansion of rooftop photovoltaic (PV) power generation. An empirical analysis of the charging and mobility behavior of 78 BEV users in Switzerland reveals that controlled charging strategies greatly increase the utilization of PV generation, thereby reducing the climate impact of BEVs.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Roland Yawo Getor, Amar Ramudhin, Samira Keivanpour
Summary: This study investigates the social acceptability of Siemens Gamesa's offshore wind turbine blade assembly facility in Kingston upon Hull. The findings show that residents generally support the investment due to economic opportunities, but there are concerns about issues such as noise and scenery obstruction. Close collaboration with local stakeholders and residents is crucial to maximize returns and minimize negatives.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Jose-Ramon Rodriguez-Ossorio, Alberto Gonzalez-Martinez, Miguel de Simon-Martin, Ana-Maria Diez-Suarez, Antonio Colmenar-Santos, Enrique Rosales-Asensio
Summary: This study evaluates the feasibility of deploying new large solar photovoltaic production facilities in the Leon region, Spain, in order to reduce CO2 emissions and generate electricity. The Levelized Cost of Energy is used as the main decision tool, and results show an achievable LCOE range of 0.21 to 0.26 (sci)/kWh with a preliminary and quick assessment of grid parity.
Article
Multidisciplinary Sciences
Lei Duan, Tyler H. Ruggles, Ken Caldeira
Summary: Solar photovoltaics have the potential to replace fossil fuels and contribute to lower-cost zero-emission energy systems. The initial benefits of providing solar power to the electricity system are significant, especially in deep decarbonization scenarios. However, the value of additional solar power decreases as cumulative solar capacities increase. Taking full advantage of low-cost solar energy requires the development and deployment of low-cost approaches to energy supply or electricity load shifting.
Article
Environmental Sciences
Jie Liu, Jun Ge, Hong He
Summary: This article investigates the impact of renewable energy investment and education on employment levels in China. Using the QARDL technique, it finds that renewable energy investment and education have a significant and positive impact on employment levels in the long run. In the short run, renewable energy investment has no noticeable effect on employment levels, while an increase in education levels helps to increase the employment rate in China. Furthermore, the long-term positive impact of economic growth and information and communications technology (ICT) is more pronounced.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Chemistry, Physical
Charlie Wilson, Simon De Stercke, Caroline Zimm
Summary: Granular energy technologies, with smaller unit sizes and costs, have advantages in faster deployment, job creation, and wider distribution of benefits compared to large-scale alternatives. A study analyzed 93 green recovery funding programs in France, Germany, South Korea, and the UK, and found that South Korea's program had the highest technological granularity, focusing on distributed renewables, smart technologies, and low-cost technologies that are quick to implement. The UK, on the other hand, concentrated public funds on a few mega-scale energy projects with high implementation risks, resulting in the least granular portfolio. The study demonstrates the importance of technological granularity in achieving green recovery goals.
Article
Environmental Studies
Chiara Fiori, Vincenzo Arcidiacono, Georgios Fontaras, Michail Makridis, Konstantinos Mattas, Vittorio Marzano, Christian Thiel, Biagio Ciuffo
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Transportation
Jonatan J. Gomez Vilchez, Andreea Julea, Emanuela Peduzzi, Enrico Pisoni, Jette Krause, Pelopidas Siskos, Christian Thiel
EUROPEAN TRANSPORT RESEARCH REVIEW
(2019)
Article
Energy & Fuels
Anastasios Tsakalidis, Andreea Julea, Christian Thiel
Article
Green & Sustainable Science & Technology
Herib Blanco, Jonatan J. Gomez Vilchez, Wouter Nijs, Christian Thiel, Andre Faaij
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
Article
Green & Sustainable Science & Technology
Jonatan J. Gomez Vilchez, Austin Smyth, Luke Kelleher, Hui Lu, Charlene Rohr, Gillian Harrison, Christian Thiel
Article
Economics
Jette Krause, Christian Thiel, Dimitrios Tsokolis, Zissis Samaras, Christian Rota, Andy Ward, Peter Prenninger, Thierry Coosemans, Stephan Neugebauer, Wim Verhoeve
Article
Environmental Studies
Ioannis Kougias, Alexandros Nikitas, Christian Thiel, Sandor Szabo
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2020)
Editorial Material
Energy & Fuels
Christian Thiel, Anastasios Tsakalidis, Arnulf Jager-Waldau
Article
Energy & Fuels
Alberto V. Donati, Jette Krause, Christian Thiel, Ben White, Nikolas Hill
Review
Green & Sustainable Science & Technology
Arnulf Jaeger-Waldau, Ioannis Kougias, Nigel Taylor, Christian Thiel
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Computer Science, Interdisciplinary Applications
Jonatan J. Gomez Vilchez, Christian Thiel
JOURNAL OF SIMULATION
(2020)
Article
Green & Sustainable Science & Technology
Silvia Rivas, Ruben Urraca, Paolo Bertoldi, Christian Thiel
Summary: This study examines the factors driving European cities to set ambitious GHG reduction targets by 2030 and finds that developing local mitigation actions based on baseline emission inventory results is key. It also shows that specific cities have the ability to set highly ambitious mitigation targets by municipalizing energy facilities and addressing highly emitting sectors such as transportation. Additionally, the study highlights easy-to-reach solutions for increasing climate ambition, such as developing in-house action plans and engaging stakeholders early in the planning process.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Christian Thiel, Ana Gracia Amillo, Alessandro Tansini, Anastasios Tsakalidis, Georgios Fontaras, Ewan Dunlop, Nigel Taylor, Arnulf Jager-Waldau, Kenji Araki, Kensuke Nishioka, Yasuyuki Ota, Masafumi Yamaguchi
Summary: This study assesses the energy implications of integrated photovoltaics in different climatic regions and usage scenarios for electric vehicles. The results show that solar power generated can cover a significant proportion of the driving range, with variations between different climates. Consumer labels for solar electric vehicles considering these variations are proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Construction & Building Technology
Camilo Franco, Giulia Melica, Aldo Treville, Marta Giulia Baldi, Enrico Pisoni, Paolo Bertoldi, Christian Thiel
Summary: Under the Global Covenant of Mayors initiative, a machine learning methodology is proposed to predict the GHG emissions inventories for each city, enabling the assessment of cities' performance in mitigating climate change.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Business
Sebastiaan Deuten, Jonatan J. Gomez Vilchez, Christian Thiel
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2020)
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.