Article
Energy & Fuels
Eero Vartiainen, Christian Breyer, David Moser, Eduardo Roman Medina, Chiara Busto, Gaetan Masson, Elina Bosch, Arnulf Jager-Waldau
Summary: Green hydrogen will be a crucial component of the future 100% sustainable energy and industrial system, with a certain proportion of solar and wind electricity being used for hydrogen production through water electrolysis. It is anticipated that by 2030 and 2050, electrolyzer capital expenditure and hydrogen costs will significantly decrease, particularly with the continuous decline in solar PV costs.
Article
Thermodynamics
Yixing Ding, Qingshan Xu, Lili Hao, Yuanxing Xia
Summary: With the rapid development of demand-side management, battery energy storage is seen as crucial for improving flexibility on the user side. This paper introduces a Stackelberg game-based robust optimization approach for user-side energy storage configuration and electricity price decisions. By considering the interactive relationship between the supplier-side system and the user-side system, a two-stage energy management framework is proposed. A bi-level optimal sizing model is established based on a two-part electricity price mechanism, which incorporates robust dispatching to handle renewable energy uncertainties. The simulation results validate the effectiveness of the proposed method by providing electricity price and energy storage configuration recommendations.
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
Energy & Fuels
Jehanzeb Nasir, Adeel Javed, Majid Ali, Kafait Ullah, Syed Ali Abbas Kazmi
Summary: This research explores a sustainable and cost-effective approach to enhance water, energy, food, and ecosystem nexus in arid regions. By combining pumped storage hydropower and floating solar photovoltaics, it can provide clean energy and reduce costs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Yue Yao, Jin-Hua Xu, De-Qiang Sun
Summary: Renewable energy has become a more economic source of electricity globally, with capacity factors, installed costs, and learning effects being key drivers of cost reduction. Wind and solar costs are decreasing rapidly, while geothermal, hydropower, and bioenergy costs are more heavily influenced by site-specific characteristics and natural resource diversity.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Maria Cristea, Radu-Adrian Tirnovan, Ciprian Cristea, Cristian Fagarasan
Summary: Storage systems are crucial for improving the reliability of electricity networks, especially with the increase of intermittent electricity generated by photovoltaic systems. This study identifies the most profitable battery technology for household and industrial users based on market research and analysis, and examines the impact of government subsidies on storage systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Marcos Tostado-Veliz, Yingqi Liang, Ahmad Rezaee Jordehi, Seyed Amir Mansouri, Francisco Jurado
Summary: This paper proposes a bi-level scheduling strategy for optimal operation of active distribution networks in the presence of energy communities. The strategy handles energy management in communities at a lower level and manages distributed assets at a higher level. Uncertainties in demand, renewable generation, and energy prices are modeled using interval notation, allowing for pessimistic or optimistic strategies. The proposed strategy is validated using the IEEE 33-bus network incorporating energy communities.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Oceanography
Xiaole Wan, Zhengwei Teng, Kuncheng Zhang, Lulian Qiu, Zhijun Zhang
Summary: Ocean big data trading is a new business model, and the government should participate and set up corresponding subsidy policies to provide protection for the stakeholders involved. A Stackelberg game model is constructed to analyze the impact of different subsidy strategies on the supply chain's decision-making equilibrium solution, and simulation analysis is carried out to validate the results.
OCEAN & COASTAL MANAGEMENT
(2023)
Article
Operations Research & Management Science
Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman, Albert Sunny, Sudheer Poojary
Summary: This paper investigates a distributed computing setting where a central entity seeks power from computational providers by offering rewards. A stochastic game model is proposed and analyzed to study the behavior of players arriving and departing over time. The study shows that only players with a relatively low range of cost parameters invest in the system. Additionally, simulations and mean field approximation demonstrate the influence of arrival and departure rates as well as system parameters on players' utilities.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Hardware & Architecture
Rasool Esmaeilyfard, Mahsa Moghisi
Summary: This paper presents an incentive mechanism design for a multitask and multi-publisher mobile crowdsensing system based on game theory and Stackelberg game. The optimal rewards for tasks and the existence of a unique Nash equilibrium have been studied, and a distributed algorithm has been proposed to specify this equilibrium point.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Energy & Fuels
Dror Miron, Aviad Navon, Yoash Levron, Juri Belikov, Carmel Rotschild
Summary: This study shows that concentrated solar power (CSP) with thermal storage is an economically viable technology for achieving high levels of solar penetration. By using a net levelized cost of electricity (net-LCOE) framework, the study compares the economics of PV with battery storage to CSP in power systems with high solar penetration. The study also explores the potential benefits of a hybrid PV-CSP configuration. The results demonstrate that CSP with thermal storage becomes cheaper than PV with batteries in power systems with 20%-30% solar penetration, enabling cost savings of up to 16%.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Economics
Richard Schmalensee
Summary: This essay explores how power systems with high penetrations of solar generation can minimize expected costs in the energy market, and proposes storage as a carbon-free solution to the duck curve problem.
Article
Computer Science, Information Systems
Jiale Wu, Chenguang Shi, Weiwei Zhang, Jianjiang Zhou
Summary: This article investigates the game theoretic power control for a distributed radar network in the presence of a smart jammer. The main objective is to minimize the total transmit power of the radar network while maintaining desirable estimation rates, considering the available power of each radar. The interactions between the radar system and the jammer are formulated as a Nash game and a Stackelberg game, respectively, and the optimal power allocation strategies for the radar system are computed, taking into account the effect of signal-dependent interference.
IEEE SYSTEMS JOURNAL
(2023)
Article
Computer Science, Information Systems
Xiaodong Dong, Laiping Zhao, Xiaobo Zhou, Keqiu Li, Deke Guo, Tie Qiu
Summary: This paper proposes an online cost-efficient transmission scheme for cloud users with information-agnostic traffic, by splitting long-term transmission requests into short-term ones and using an online algorithm based on Lyapunov optimization to reduce transmission costs. Experimental results show that CSPs and cloud users can achieve a win-win outcome.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Energy & Fuels
Moataz Sheha, Kasra Mohammadi, Kody Powell
Summary: This study examines the technical and economic feasibility of incorporating high levels of solar energy penetration into a smart grid system of 60,000 smart houses. A novel non-cooperative Stackelberg game is introduced to optimize dynamic prices for grid stability, with a focus on profitabilty and distributed storage. The study evaluates ten cases with various photovoltaic plant sizes and battery designs, using metrics such as the levelized cost of energy and payback period to identify the most promising scenarios.
Review
Engineering, Chemical
Kasra Mohammadi, Jake Immonen, Landen D. Blackburn, Jacob F. Tuttle, Klas Andersson, Kody M. Powell
Summary: This study provides a review of the applications of machine learning techniques in different combustion processes and discusses the potential benefits and challenges of using machine learning to improve the sustainability of combustion systems.
REVIEWS IN CHEMICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Ethan Gallup, Tyler Gallup, Kody Powell
Summary: As neural networks are increasingly used in science and engineering, incorporating scientific knowledge into these networks has become more complex. This work simplifies these techniques into basic strategies that can be easily applied in different situations. The study builds novel neural networks based on these strategies, and evaluates their advantages using simulated data from a CSTR model.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Yunzhi Chen, Lizzie Pinegar, Jake Immonen, Kody M. Powell
Summary: Increasing quantities of food waste have become a concern due to high disposal costs in landfills and high greenhouse gas emissions. Collecting food waste from landfills and turning it into renewable natural gas using anaerobic digestion could be a win-win option for both food waste disposal and renewable energy production. This study focuses on the techno-economic and environmental assessment of food waste to energy via anaerobic digestion to bridge the gap in existing research.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Blake W. Billings, An Ho, Mostafa Sahraei-Adrakani, Kody M. Powell
Summary: This study compares the economic advantages of different dispatch control situations for utilities and industrial facilities and presents a framework for optimizing multiple systems. The results show that industrial facilities benefit more from dispatching batteries for electrical demand reduction, and battery size plays a significant role in the grid's generating costs.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Jiwei Yao, Kody Powell, Tao Gao
Summary: This paper proposes a battery lifetime prediction method based on time series data, which accurately predicts battery lifetime by extracting features from multiple cycles and compressing data using an autoencoder. Compared with existing models, this method can effectively reduce prediction errors.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Engineering, Industrial
Yunzhi Chen, Blake W. Billings, Kody M. Powell
Summary: Manufacturers are under pressure to cut electricity costs, and onsite renewable energy generation may provide a solution. However, high capital costs and intermittent power generation limit its use. This study demonstrates that integrating grid-responsive smart manufacturing with renewables on an industrial scale can yield favorable economic and environmental outcomes. A user-friendly decision-aid model is provided to help manufacturers manage energy. Dynamic simulation results show that grid-responsive smart manufacturing effectively reduces peak demand, and the economic results indicate synergistic cost reductions when combining smart manufacturing with renewables.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Fang Yao, Mingwei Li, Leijiao Ge, Wenlong Liao, Kody Powell
Summary: This paper proposes a two-line-same-phase AC standstill measurement (TLSP-ACSM) method to solve the problem of accurate d-q-axis inductance values in permanent magnet synchronous motors (PMSM) under vector control. The effectiveness of the proposed method is verified through analysis of motor synthetic magnetomotive force and theoretical error of inductance measurement, followed by experiments. Comparing with another measurement method, it is demonstrated that TLSP-ACSM reduces the relative errors of d-axis and q-axis inductance measurements by about 23% and 21% respectively. TLSP-ACSM shows better measurement precision and tracking performance when considering magnetic flux leakage.
JOURNAL OF POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Xingzhen Bai, Xinlei Zheng, Leijiao Ge, Wenlong Liao, Kody Powell, Jiaan Zhang
Summary: In this paper, a dynamic event-based forecasting-aided state estimation (FASE) method is proposed to solve the state estimation problem of active distribution systems (ADS) with communication constraints and non-linear measurements. The method constructs a state-space model of ADS to describe system state evolution and uses a dynamic event-triggered scheme (ETS) to optimize data transmission. To handle non-linear measurements, the Gaussian integral is approximated using the spherical cubature rule. The proposed method also minimizes the upper bound of estimation error covariance and develops the dynamic event-triggered cubature Kalman filter (DET-CKF) algorithm for state estimation in ADS.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Automation & Control Systems
Keane Stewart, Connor Moran, Kody Powell, Jacob Tuttle, Andrew Fry
Summary: The study focuses on creating an Advanced Sensor Network (ASN) to optimize the dynamic operation of coal-fired utility boilers, aiming to improve boiler efficiency and minimize environmental impact. The ASN provides real-time data on flue gas composition and air leakage, which are crucial for boiler optimization during dynamic operation.
JOURNAL OF PROCESS CONTROL
(2023)
Article
Engineering, Chemical
Mohamed T. Bahr, Jake Immonen, Blake W. Billings, Kody M. Powell
Summary: Industrial facilities are looking for new strategies to reduce demand charges. Thermal energy storage has made significant advancements in this area and can further improve savings by integrating with smart control systems.
Article
Energy & Fuels
Jiwei Yao, John D. Hedengren, Tao Gao, Kody M. Powell
Summary: This paper proposes a two-level optimization framework for maximizing revenue of a battery energy storage system while considering battery capacity fading phenomena. An upper-level optimization focuses on maximizing revenue in a real-time electricity market, while a lower-level optimization determines optimal charging current using particle swarm optimization to mitigate side reactions and maintain economic performance. The proposed framework is applied to a case study using California energy prices, showing an extended battery lifespan of up to 5.1% and overall revenue increases of up to 9.8% compared to a singular economic optimization approach using standard charging protocols.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Ali Khosravani, Elaheh Safaei, Michael Reynolds, Kerry E. Kelly, Kody M. Powell
Summary: This study evaluates the feasibility of using hybrid renewable energy systems (HRES) to provide electricity in four locations in the United States. The study uses simulation and assessment to determine the levelized cost of electricity and societal cost of electricity for each location. Different factors such as carbon taxes, health benefits, and renewable fractions are considered in the analysis. The results show the ideal renewable fraction for each location and the potential impact of health benefits on the optimal renewable fraction.
Article
Engineering, Chemical
An Ho, Matthew Memmott, John Hedengren, Kody M. Powell
Summary: There has been a growing interest in Molten Salt Reactors (MSRs) due to their potential in increasing grid flexibility, security, and reliability, as well as their passive safety features. This study investigates the passive safety features of MSRs through dynamic simulations of different safety scenarios. The results show the stability of MSR operations and the importance of negative feedback coefficient in stabilizing power response. The study also demonstrates the load-following capabilities of MSRs, which increase grid flexibility, reliability, and security without changing the position of control rods, leading to a significant reduction in fossil-fuel based electricity generation compared to traditional PWRs.
DIGITAL CHEMICAL ENGINEERING
(2023)
Article
Engineering, Chemical
Matthew R. T. Williams, Michael Reynolds, Chris Parker, Jianli Chen, Kody Powell
Summary: Improving housing affordability while positively impacting the environment presents challenges due to conflicting factors. Electrification is one solution, but economic barriers and the need for more renewable energy generation in the electric grid pose obstacles to its adoption. This study explores optimized solutions using grid response and life cycle analysis, showing that electrified buildings can achieve higher energy efficiency but fall short on economic and sustainability goals compared to traditional buildings.
DIGITAL CHEMICAL ENGINEERING
(2023)
Article
Energy & Fuels
Wenlong Liao, Yusen Wang, Yuelong Wang, Kody Powell, Qi Liu, Zhe Yang
Summary: This paper proposes a novel deep generative network that transforms high-dimensional load curves into low-dimensional latent variables and measures the similarity between generated and real samples using maximum mean discrepancy. The proposed model does not require assuming the probability distribution of load curves, leading to stronger universality, and accurately captures the shape, frequency-domain characteristics, and temporal-spatial correlations of load curves.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
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)