Article
Green & Sustainable Science & Technology
Ronald Huisman, Derck Koolen, Cristian Stet
Summary: This paper explores how an increasing market share of variable renewable energy sources (VRES) affects spot power price dynamics and the forward price premium. The study shows that markets with a high share of supply from VRES have a significantly lower forward premium, and regardless of the market share of VRES supply, forward power prices contain information about future spot power prices.
Article
Green & Sustainable Science & Technology
Elis Nycander, German Morales-Espana, Lennart Soder
Summary: This paper investigates the possibility of using a power-based version of an economic dispatch model to decrease the model time resolution in the planning of future power systems with high shares of renewable generation. The results show that the power-based model has better agreement with the high-resolution model, especially as the model time step increases.
Article
Energy & Fuels
Rachel Koh, Jordan Kern, Stefano Galelli
Summary: This study addresses the gap in capturing key dynamic interdependencies between water and power system models by introducing a novel numerical modeling framework that hard-couples them. The hard-coupling of water and energy systems reduces operating costs and CO2 emissions while increasing the integration of renewables. The simulation framework provides a testing platform for management and planning solutions aimed to improve the performance of water-energy systems.
Article
Energy & Fuels
Rachel Koh, Jordan Kern, Stefano Galelli
Summary: This article introduces a new numerical modeling framework that hard-couples a multireservoir system model and a power system model to capture the two-way feedback mechanisms between the water and energy systems. Through a real-world case study, it is found that hard-coupling can reduce operating costs and CO2 emissions while increasing the integration of renewables.
Review
Green & Sustainable Science & Technology
Xiaodong Zhang, Dalia Patino-Echeverri, Mingquan Li, Libo Wu
Summary: This paper assesses the quality of publicly available data on China's power system and compares it with that of the United States. It concludes that the lack of data availability in China is a significant barrier that severely limits the transparency and applicability of power system models.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Green & Sustainable Science & Technology
Farnam Dehghani, Mohammad Agha Shafiyi
Summary: Renewable energy sources are essential for future electricity networks, but their integration with the grid poses challenges. Complementarity studies and economic approaches can optimize the use of resources, reducing the need for storage and load tracking.
IET RENEWABLE POWER GENERATION
(2023)
Editorial Material
Thermodynamics
Erik Jonasson, Jakub Jurasz, Fausto A. Canales, Irina Temiz
Summary: This paper discusses a novel method of assessing complementarity between three variable energy sources using correlation, compromise programming, and normalization. The method calculates a complementarity index which is applied to a case study in Poland. However, the normalization of the index overestimates the complementarity potential, which is discussed in detail, and an alternative way of calculating the index is proposed to eliminate this issue.
Article
Energy & Fuels
Hao Tian, Keqing Wang, Xiufeng Cui, Zexi Chen, Ergang Zhao, Sara Saeedi
Summary: This research focuses on the optimal planning of microgrids by incorporating renewable energy sources and conventional units. A multi-objective model is used to consider economic factors and energy management, while accounting for limitations and different energy sources for a more realistic approach. The model takes into account the uncertainty in production capacity of wind turbines and photovoltaics, and incorporates load uncertainty, price, and renewable energy production. Through a demand response program with incentives, the model aims to maximize profitability and minimize costs. To solve the conflicting objectives, a developed optimization algorithm based on teaching-learning and fuzzy theory is proposed.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Xin Li, Xian Wu, De Gui, Yawen Hua, Panfeng Guo
Summary: The study focuses on the application of a hybrid CSP-CHP system in power system planning, with results indicating that the system is expected to play a significant role in the power system from 2020 to 2050, demonstrating high value mainly in terms of operational flexibility and application prospects.
Article
Energy & Fuels
Saheed Lekan Gbadamosi, Nnamdi Nwulu
Summary: This paper examines the impact of renewable energy resources on power systems and introduces multi-objective optimization problems to accurately calculate electrical losses and their effects on expansion planning. Through evaluation and comparison of three modeling approaches, it is found that the AC solution method provides more accurate computation of power losses and efficient optimal planning strategy compared to the modified DC method.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Computer Science, Information Systems
Thomas Nikolakakis, Esra Bozkir Broekman, Debabrata Chattopadhyay, Almudena Mateos Merino
Summary: Following COP26, countries are developing decarbonization strategies for the power sector, including storage, hydrogen, and carbon capture. This paper presents research on EV load and green hydrogen modeling and proposes a methodology to assess capacity plans using the World Bank Electricity Planning Model (EPM). A case study for Turkey in 2050 demonstrates the need for additional measures, such as peaking gas turbines, wind and solar optimization, BESS, and hydrogen, to address seasonal variability and meet energy demand.
Article
Computer Science, Information Systems
Bin Xiang, Jocelyne Elias, Fabio Martignon, Elisabetta Di Nitto
Summary: This article discusses the joint planning of computational resources, network slicing, and traffic routing in Multi-access Edge Computing (MEC) to ensure desired QoS while controlling costs. A mixed-integer nonlinear program (MINLP) is formulated and a heuristic called Neighbor Exploration and Sequential Fixing (NESF) is proposed to solve the problem. The proposed model and heuristic are evaluated against two greedy approaches, and numerical results show that NESF achieves near-optimal solutions with short computing time even in large-scale network scenarios.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Thermodynamics
Pernille Seljom, Lisa Kvalbein, Lars Hellemo, Michal Kaut, Miguel Munoz Ortiz
Summary: This paper presents a method using stochastic programming to model variable renewable electricity generation in long-term energy system models, demonstrated on a Norwegian TIMES model. The research shows that the number of stable scenarios required varies between different scenario generation methods, and the generated scenarios have different errors compared to the actual dataset.
Article
Robotics
Jung-Su Ha, Danny Driess, Marc Toussaint
Summary: Manipulation planning is the problem of finding a sequence of robot configurations for interactions with objects. This paper presents a method that represents objects as continuous functions and enables long-horizon planning based on visual input.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Review
Psychology, Multidisciplinary
Selena Wang
Summary: This paper introduces latent variable network models and their integration with psychometric models, summarizing developments under network psychometrics and distinguishing graphical models under this framework from other network models. Each model is introduced using unified notations, with all methods accompanied by available R packages for further independent learning.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Management
Makoto Tanaka, Yihsu Chen, Afzal S. Siddiqui
Summary: This study discusses important aspects of policy modeling based on a leader-follower game of policymakers. The research finds that cooperation among policymakers enhances welfare, while full coordination may render performance-based environmental policy redundant. State-by-state regulation yields higher social welfare than broader regional regulation.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Thermodynamics
Lina Reichenberg, Fredrik Hedenus, Niclas Mattsson, Vilhelm Verendel
Summary: This paper examines the impact of the Eurasian interconnection on the cost of renewable energy systems. The modeling results show that the supergrid option can reduce total system cost by a maximum of 5% compared to continental grid integration. However, the benefits of a supergrid from a techno-economic perspective are generally negligible or at best modest.
Article
Management
Maria Lavrutich, Verena Hagspiel, Afzal S. Siddiqui
Summary: In restructured electricity industries, private companies determine facility investment timing and sizing to maximize their profit. A welfare-maximizing transmission system operator aligns public and private objectives by anticipating the private company's incentives and reducing welfare loss through proactive transmission investments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Operations Research & Management Science
Afzal S. Siddiqui, Sauleh A. Siddiqui
Summary: This study examines the selection of distributed energy resources (DER) capacity by collective prosumers in the electricity industry. The results show that prosumers invest in more DER capacity when conventional generation exerts market power in operations, but invest in less DER capacity when the marginal cost of conventional generation is high. A countervailing regulatory mechanism is proposed to enhance welfare-enhancing DER investments in deregulated electricity industries.
Article
Multidisciplinary Sciences
Xiaoming Kan, Fredrik Hedenus, Lina Reichenberg, Olav Hohmeyer
Summary: The fast-growing cooling demand, driven by income growth in tropical countries, requires significant investments. Research shows that solar PV plays a dominant role in meeting the additional electricity demand for cooling and is cost-effective. This indicates that solar PV could be the primary method of providing electricity for cooling in the future.
Article
Operations Research & Management Science
S. Wogrin, D. Tejada-Arango, S. Delikaraoglou, A. Lamadrid, A. Botterud
Summary: This paper analyzes the impact of modeling assumptions on the outcomes of power systems and their investment cost recovery. Realistic constraints, such as non-convex investments, inelastic demand or unit commitment constraints, can pose profitability challenges.
Article
Computer Science, Software Engineering
Sonja Wogrin, Diego Alejandro Tejada-Arango, Robert Gaugl, Thomas Klatzer, Udo Bachhiesl
Summary: This paper introduces the open-source Low-carbon Expansion Generation Optimization (LEGO) model, which is a versatile tool for techno-economic analyses in the energy sector. It offers flexibility in analyzing different time periods.
Article
Energy & Fuels
M. Millinger, L. Reichenberg, F. Hedenus, G. Berndes, E. Zeyen, T. Brown
Summary: Options for reducing emissions in the transport sector, especially the hard-to-electrify parts, are essential to meet ambitious emissions targets. While biofuels are currently the only renewable fuels available at scale, their high costs, lack of scalability, and competition for resources pose significant challenges. Policymakers may need to explore alternative options such as electrofuels and carbon dioxide removal to offset fossil fuel emissions.
Article
Green & Sustainable Science & Technology
F. Hedenus, N. Jakobsson, L. Reichenberg, N. Mattsson
Summary: The assumptions made in models regarding wind power potentials poorly reflect historical installation patterns. Large wind turbines can be installed on various land types, and wind power is allocated to relatively windy sites.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Lina Reichenberg, Fredrik Hedenus
Summary: This paper investigates the impact of reducing temporal representation in Capacity Expansion Models (CEMs) by using representative periods. Testing a generic CEM applied to Europe, the study finds that while system cost can be well represented with as few as ten representative days, deviations occur in the representation of capacity mix and regional capacity. Modelers should be aware of the potential error margins when presenting results in these aspects.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2022)
Article
Engineering, Electrical & Electronic
Tobias F. Poemsl, Afzal S. Siddiqui
Summary: This study investigates how the integration of combined heat and power applications and demand response into distributed energy resources at a semiconductor fabrication plant microgrid can reduce energy costs and mitigate risks effectively.
ELEKTROTECHNIK UND INFORMATIONSTECHNIK
(2022)
Correction
Operations Research & Management Science
S. Wogrin, D. Tejada-Arango, S. Delikaraoglou, A. Lamadrid, A. Botterud
Article
Engineering, Electrical & Electronic
Sonja Wogrin
Summary: One of the fundamental problems of using optimization models is the trade-off between model accuracy and computational tractability when using different time series as data input. To overcome computational intractability, traditional time series aggregation methods are commonly used to reduce the dimension of input data and model size. However, these methods often overlook the importance of the resulting output error in optimization results. In this paper, the authors challenge this belief and propose output-error based TSA methods with theoretical underpinnings, which have the potential of unprecedented computational efficiency and accuracy.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
David Cardona-Vasquez, Davide DiTondo, Sonja Wogrin
Summary: This paper explores the relationship between system structure and hyperparameters in the aggregation process, finding valuable information from the power system that can be used to improve aggregation, while the accuracy of the aggregation cannot be precisely measured.
ELEKTROTECHNIK UND INFORMATIONSTECHNIK
(2022)
Article
Social Sciences, Mathematical Methods
Farzad Hassanzadeh Moghimi, Yihsu Chen, Afzal S. Siddiqui
Summary: Ambitious climate packages promote the integration of variable renewable energy (VRE) and electrification of the economy. This transformation will create prosumers, who consume and produce electricity. Prosumers may add seasonal net sales to the power system, which can be manipulated by incumbent producers to control prices.
COMPUTATIONAL MANAGEMENT SCIENCE
(2023)
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.