Article
Management
Je-ok Choi, Daniela Saban, Gabriel Weintraub
Summary: This paper addresses the problem of finding an optimal pay-as-bid mechanism in which a platform selects suppliers to balance the tradeoff between variety and low prices. The research results have practical implications for optimizing pay-as-bid assortment mechanisms, particularly in public procurement settings.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2023)
Article
Mathematics, Applied
Akash Saxena, Adel Fahad Alrasheedi, Khalid Abdulaziz Alnowibet, Ahmad M. Alshamrani, Shalini Shekhawat, Ali Wagdy Mohamed
Summary: This paper proposes a local grey prediction model based on historical data to estimate the market clearing price (MCP). The comparison between traditional and advanced grey models demonstrates the accuracy of the proposed model in predicting the MCP.
Article
Automation & Control Systems
Xinxin Fang, Zhifang Yang, Juan Yu, Yi Wang
Summary: This article investigates the mismatch between DC and AC in the market clearing process, analyzes the physical properties and potential disadvantages of current industrial practices for handling this mismatch, and proposes a modified AC feasibility restoration framework based on optimal power flow algorithm and a strategy for selecting additional units to avoid price spikes.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Economics
Sven Heim, Georg Gotz
Summary: The study reveals that the drastic price increase in the German reserve power auction market was not driven by increased costs, but rather by the abuse of the auction mechanism by dominant suppliers. In a highly concentrated market with inelastic demand, the auction design plays a crucial role in monitoring competition authorities.
Article
Economics
Philipp Haertel, Magnus Korpas
Summary: Achieving climate neutrality in the future will require large-scale decarbonization and direct electrification is the most cost-efficient strategy. Cross-sectoral integration will increase electricity demands, provide valuable flexibility, and play a key role in future electricity markets.
Article
Engineering, Electrical & Electronic
Omid Motamedisedeh, Bakhtiar Ostadi, Faranak Zagia, Ali Husseinzadeh Kashan
Summary: This paper proposes an optimization-based bidding strategy for an electricity generation company in the day-ahead market. The proposed model takes into account the stochastic Market Clearing Price, historical data clustering using the K-Means Algorithm, and three types of cost functions. The results show that the proposed model can significantly improve the expected revenue.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Yi Wang, Zhifang Yang, Juan Yu, Junyong Liu
Summary: In this paper, an optimization-based partial marginal pricing method is proposed to reduce consumer payment under strategic bidding. By introducing discriminatory price components in the pricing formulation, this method preserves the advantages of locational marginal pricing while addressing remaining issues. Numerical results show that the proposed method effectively reduces excessive consumer payments.
Article
Energy & Fuels
Tianhao Liu, Chenyu Xia, Hongyu Zhu, Dongdong Zhang, Huihwang Goh, Thomas Wu
Summary: With the progress of new energy conversion technology, the connection between the natural gas system and the electric system has become increasingly close. This paper proposes a power and gas coupling system based on clearing market structure, solving market clearing and bilateral contract problems through mathematical models and algorithms.
Article
Energy & Fuels
Xueqian Fu, Kaitao Yang, Guodong Li, Dan Zeng
Summary: In the process of market-oriented reform, the most crucial aspect in China is the establishment of a national unified electricity market system under a high penetration of renewable energy. This study investigates the operation system of the national unified electricity market, focusing on inter-provincial electricity trading arrangements. A novel inter-provincial market-clearing model based on static security regions, which considers inter-provincial electricity transmissions and direct current power flows, is proposed. The proposed model is simulated and verified in different power systems, demonstrating its effectiveness in promoting renewable energy consumption and improving inter-provincial market linkages.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Fisheries
Sandip Mitra, Most Nilufa Khatun, Md Masudul Haque Prodhan, Md Akhtaruzzaman Khan
Summary: This study investigated the preferences of consumers for capture and culture fishes, finding that the capture fish had higher quality but lower availability and control, leading to higher market prices; although consumers preferred the capture fish for its freshness and price, the culture fish was also popular due to its larger size. Factors influencing consumer willingness to pay more for capture fish included average price, firmness, and household family size, while increased belly swelling led to decreased market prices.
Article
Green & Sustainable Science & Technology
Devika Jay, K. S. Swarup
Summary: Modern power systems are becoming smarter and more competitive, with real-time pricing of active and reactive power considered an efficient energy management method. However, the procurement of reactive power through market mechanisms in real-time has not yet been implemented. This paper details the challenges faced in implementing reactive power markets and presents a review of existing mechanisms to address these challenges, as well as a framework for reactive power ancillary service in a smart grid.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Yujun He, Qixin Chen, Jiajia Yang, Yuanji Cai, Xuanyuan Wang
Summary: This study investigates a DLMP scheme to promote the market penetration of small-scale prosumers/consumers at distribution level and analyzes the performance of different algorithms for improving the clearing method's efficiency.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Homa Rashidizadeh-Kermani, Mostafa Vahedipour-Dahraie, Mimmo Parente, Miadreza Shafie-Khah, Pierluigi Siano
Summary: This study examines the importance of the balancing market in addressing system imbalances and proposes a flexible penalty mechanism to mitigate the negative impact on wind power plant (WPP) revenue. Additionally, a contract between the WPP and an insurance provider, with the system operator (SO) in charge of system balance, is suggested as a remedy to control wind volatilities.
Article
Economics
John J. Garcia Rendon, Jesus Lopez-Rodriguez, Jhonny Moncada-Mesa
Summary: Weather conditions in Colombia play a key role in the bid pricing strategies and strategic behavior among plants in the wholesale electricity market. Energy inputs are critical for setting bid prices, especially with the predominance of hydraulic generation technologies. Implementing balancing markets could efficiently signal pricing strategies in these markets.
Article
Geosciences, Multidisciplinary
Chiara D. D'Alpaos, Paolo Bragolusi
Summary: The majority of Italian buildings do not meet adequate aseismic design standards and are at risk of earthquakes. Seismic retrofitting plays a crucial role in reducing vulnerability and generating market price premiums for retrofitted buildings. This paper estimates the market price premiums of seismically retrofitted buildings in Italy using a survey-based method.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Engineering, Electrical & Electronic
Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, Antonio J. Conejo
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Mehrdad Aghamohamadi, Nima Amjady, Ahmad Attarha
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Amir Ali Nazari, Reza Keypour, M. H. Beiranvand, Nima Amjady
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Mohsen Yazdaninejad, Nima Amjady, Shahab Dehghan
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Green & Sustainable Science & Technology
Mohammad Reza Ebrahimi, Nima Amjady
Summary: This paper presents a decision-driven stochastic adaptive-robust microgrid operation optimization model considering various uncertainties. It utilizes a combination of adaptive-robust optimization and stochastic programming to address continuous and binary uncertainties simultaneously. The proposed model and solution method are effectively demonstrated on the IEEE 69-bus test system in case studies.
IET RENEWABLE POWER GENERATION
(2021)
Article
Computer Science, Information Systems
Bahareh Bagheri, Nima Amjady, Shahab Dehghan
Summary: This article introduces a multi-scale multi-resolution uncertainty model for GMS problem in power system, addressing midterm and short-term uncertainties through plausible scenarios and polyhedral uncertainty sets. Affine policies are incorporated to make the approach tractable, and a stochastic affinely adjustable robust optimization (SAARO) problem is formulated to consider both midterm and short-term uncertainties. A new solution methodology involving stochastic optimization and probabilistic dual cut is presented, with numerical results confirming the effectiveness of the proposed model and approach.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Ghamsari-Yazdel, Nima Amjady, Hamid Reza Najafi
Summary: This paper proposes a reintegration-based multi-objective intentional controlled islanding (ICI) model to enhance resiliency of electrical power systems under catastrophic events. The model relies on a mixed-integer linear programming approach and considers factors like charging reactive power, reliability, and capacity to reduce risks during reintegration. The model aims to address temporary load-generation imbalances in resulted islands to prevent frequency and voltage instability.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Tao Ding, Ming Qu, Nima Amjady, Fengyu Wang, Rui Bo, Mohammad Shahidehpour
Summary: This letter proposes a model for tracking the equilibrium point of the real-time locational marginal price based residential demand response program, where demand elasticity is modeled as a monotonically decreasing linear function of the LMP. The dual model, formulated as a convex quadratic problem using duality, is shown to be tractable to solve and find the global optimum. Numerical results on the IEEE 30-bus system verify the effectiveness of the demand response model.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Juan Arteaga, Hamidreza Zareipour, Nima Amjady
Summary: This paper introduces a risk-based optimal sizing model for Storage as Transmission Alternative (SATA) for Transmission Congestion Relief (TCR) services. The model considers Energy Storage as a Service (ESaaS) concept, where SATA's idle capacity can be rented out for market participation and the fees collected are credited back to the ratepayers to offset the overall costs of removing network congestion. Simulation results provide insights into the financial benefits and risks of sharing SATA's excess capacity for additional revenues.
Editorial Material
Engineering, Electrical & Electronic
M. Esfahani, N. Amjady, B. Bagheri, Nikos D. Hatziargyriou
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
AmirAli Nazari, Reza Keypour, Nima Amjady
Summary: The paper proposes a cooperative community storage expansion plan to jointly invest in energy storage systems, alleviating the burden of high investment costs and increasing overall economic benefits. The modified Nash bargaining theory approach ensures fair implementation of the cooperative framework, highlighting the advantages of cooperation.
Article
Engineering, Electrical & Electronic
Fatemeh Teymoori Hamzehkolaei, Nima Amjady, Bahareh Bagheri
Summary: This paper addresses the planning problem of residential micro-CHP systems, modeling thermal and electrical load uncertainties using a two-stage adaptive robust optimization method. A solution method involving a C&CG algorithm and BCD method was proposed, showing effective performance in a practical case study.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, C. Y. Chung
Summary: The proposed ICI-TEP method aims to improve the stability of islands by more efficient planning of transmission assets, resulting in more stable islands with lower load shedding and better coping with severe disturbances compared to conventional TEP.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Review
Engineering, Electrical & Electronic
Mehdi Izadi, Seyed Hossein Hosseinian, Shahab Dehghan, Ahmad Fakharian, Nima Amjady
Summary: This article presents a review of research works on evaluating power system resilience against disastrous and hazardous events. It discusses the differences between resilience and related concepts, presents resilience indices and techniques to increase power system resilience, reviews uncertainty handling approaches, and provides some concluding remarks.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, C. Y. Chung, Antonio J. Conejo
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)
