Article
Thermodynamics
Peter Sorknaes, Rasmus M. Johannsen, Andrei D. Korberg, Tore B. Nielsen, Uni R. Petersen, Brian Mathiesen
Summary: Future renewable energy systems with high shares of variable renewable energy production require technologies and measures to balance production fluctuations, such as electricity storage, energy demand adaptation, and sector coupling. This study evaluates the role of industry electrification in different renewable energy system scenarios and finds that prioritizing direct electrification of industrial process heat demand is preferable.
Article
Engineering, Multidisciplinary
Akansha Garg, Narsa Reddy Tummuru, Ramesh Oruganti
Summary: The basic design of the DC microgrid model ensures effective power management, and various system objectives can be achieved through different energy management scenarios.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Review
Energy & Fuels
Geremi Gilson Dranka, Paula Ferreira, A. Ismael F. Vaz
Summary: This paper presents a comprehensive overview of the application of co-optimization in the energy sector based on a systematic literature review of 211 related studies, tracking frontiers, trends, and potential research gaps. The findings suggest technical challenges and the necessity of data-intensive procedures in co-optimization approaches. Future challenges include addressing uncertainties and balancing model fidelity, spatial granularity, and geographical coverage.
Article
Computer Science, Interdisciplinary Applications
Haiyan Deng, Ziqiong Song, Tomas Balezentis, Zhiyang Shen
Summary: This paper models the production process using a novel by-production approach and ensures the linkage between economic and environmental sub-technologies. It adjusts the byproduction Data Envelopment Analysis model to obtain positive shadow prices and derives the shadow prices of carbon dioxide emissions for province-level industrial sector data in China from 1997 to 2019. The findings show that the shadow price of carbon has increased over time, indicating the effectiveness of policymakers' efforts in reducing carbon emissions in manufacturing. The significant variation in shadow prices across provinces can be explained by factors such as carbon productivity, non-fossil energy consumption, and urbanization rate.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Benjamin H. Y. Ong, Navdeep Bhadbhade, Donald G. Olsen, Beat Wellig
Summary: The study introduces a novel methodology for constructing sectorwide composite curves to accurately characterize the thermal energy demands and excess heat sources for Swiss industry subsectors. The methodology provides valuable insights for the implementation of energy efficiency and decarbonization technologies, enabling sustainable development in the industrial sector.
Article
Thermodynamics
Lorenzo Mario Pastore, Gianluigi Lo Basso, Livio de Santoli
Summary: This study considers the impact of renewable energy on building energy systems and proposes building energy performance indicators. Heat pumps are found to be the best option when renewable penetration in the power grid is high. National decarbonization scenarios significantly affect building refurbishment strategies.
Article
Economics
Yong He, Nuo Liao, Kunrong Lin
Summary: This study combined industrial correlation model and multi-objective optimization model to explore the path for achieving China's 2030 energy conservation and emission reduction goals in the industrial sector while maintaining certain economic growth. The results showed that improving energy efficiency is crucial for achieving the goal of carbon emission peak, regardless of high-speed or medium-speed economic growth scenarios.
Article
Energy & Fuels
Yangze Zhou, Xueyuan Cui
Summary: More and more distributed energy resources are integrated into regional integrated energy systems to enhance energy efficiency and flexibility. However, the unknown influence of cross-sector information from different sectors and its evaluation pose challenges. This study proposes an adaptive method for cross-sector information identification based on operating pattern recognition, which shows improved accuracy in load prediction.
Article
Energy & Fuels
Harpreet Sharma, Sachin Mishra, Javed Dhillon, Naveen Kumar Sharma, Mohit Bajaj, Rizwan Tariq, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam
Summary: This paper proposes a modified PSO-based multi-objective optimization for the scheduling of Virtual Power Plants (VPPs) in distribution networks. The optimized results show significant improvements in operating cost, peak demand, and reliability.
Article
Thermodynamics
Signe Allena Ozolina, Ieva Pakere, Dzintars Jaunzems, Andra Blumberga, Armands Gravelsins, Dagnis Dubrovskis, Salvis Dagis
Summary: This study analyzes the development of the energy transformation sector in Latvia using models. The results show that it is possible to decarbonize the energy sector by limiting the use of biomass. However, achieving this goal requires improving energy efficiency in buildings and heating infrastructure, as well as promoting the use of renewable energy.
Article
Energy & Fuels
Lorena Giordano, Miriam Benedetti
Summary: Waste heat recovery is a promising option to improve industrial process efficiency and sustainability, but its implementation faces challenges in technical, economic, financial, and regulatory aspects. Lack of information on waste heat sources and reuse options is a major barrier. This study proposes a methodology to map waste heat sources and sinks in industrial processes, aiming to overcome information barriers.
Article
Thermodynamics
Takuma Takeshita, Hirohisa Aki, Kotaro Kawajiri, Masayoshi Ishida
Summary: This study assesses the potential of utilizing combined heat and power systems to provide grid flexibility, focusing on the greater Tokyo area. The results demonstrate that introducing time-of-use rates can reduce consumers' energy costs and the provision of flexibility is largely dependent on the facilities' heat-to-electricity ratios.
Article
Thermodynamics
Silvia Trevisan, Bjarke Buchbjerg, Rafael Guedez
Summary: The industrial sector is a major contributor to global wealth and CO2 emissions. A study presents a molten salts based power-to-heat solution to decarbonize the industrial sector, achieving low-cost heat production. Future electricity markets with higher renewable penetration are expected to further reduce heat costs.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Runsen Zhang, Tatsuya Hanaoka
Summary: This study develops a regional transport-energy integrated model to analyze the pathways and strategies for achieving a carbon-neutral ground transport sector in China by 2060. The research highlights the importance of region-specific policies in realizing deep decarbonization and aiding in China's carbon neutrality goals.
NATURE COMMUNICATIONS
(2022)
Article
Thermodynamics
Abdullah M. Maghrabi, Jian Song, Christos N. Markides
Summary: The industrial sector needs to implement energy efficiency measures to improve its operations and performance. However, selecting the optimal energy efficiency measures for specific industries, plants, and processes remains a challenge. Therefore, developing systematic approaches to identify the best energy efficiency measures is crucial.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Environmental
Kristen E. Brown, Troy A. Hottle, Rubenka Bandyopadhyay, Samaneh Babaee, Rebecca S. Dodder, P. Ozge Kaplan, Carol S. Lenox, Daniel H. Loughlin
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2018)
Article
Environmental Sciences
Timothy Lawrence Johnson, Jeffrey M. Bielicki, Rebecca S. Dodder, Michael R. Hilliard, P. Ozge Kaplan, C. Andrew Miller
ENVIRONMENTAL MANAGEMENT
(2013)
Article
Computer Science, Interdisciplinary Applications
A. Elobeid, S. Tokgoz, R. Dodder, T. Johnson, O. Kaplan, L. Kurkalova, S. Secchi
ENVIRONMENTAL MODELLING & SOFTWARE
(2013)
Article
Engineering, Environmental
P. Ozge Kaplan, S. Ranji Ranjithan, Morton A. Barlaz
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2009)
Article
Engineering, Environmental
P. Ozge Kaplan, Joseph Decarolis, Susan Thorneloe
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2009)
Review
Engineering, Environmental
Emmanuel C. Gentil, Anders Damgaard, Michael Hauschild, Goran Finnveden, Ola Eriksson, Susan Thorneloe, Pervin Ozge Kaplan, Morton Barlaz, Olivier Muller, Yasuhiro Matsui, Ryota Ii, Thomas H. Christensen
Article
Green & Sustainable Science & Technology
Mine Isik, P. Ozge Kaplan
Summary: This paper analyzes the emission changes in the power sector of New York State and finds that the main driver of emission reduction is the change in fossil fuel mix, with electricity generation level variations and technical efficiency having smaller impacts. By 2050, increased emissions due to nuclear phase-out will be avoided by onshore and offshore wind, with a lower fraction met by solar energy.
Article
Energy & Fuels
Mine Isik, Rebecca Dodder, P. Ozge Kaplan
Summary: This study examines the impact of New York City's CO2 reduction policies on the transportation sector, highlighting the importance of electrification of light-duty vehicles for reducing air emissions.
Article
Economics
Carol Lenox, P. Ozge Kaplan
Article
Green & Sustainable Science & Technology
Andrew C. Procter, P. Ozge Kaplan, Rochelle Araujo
JOURNAL OF INDUSTRIAL ECOLOGY
(2016)
Article
Economics
Rebecca S. Dodder, P. Ozge Kaplan, Amani Elobeid, Simla Tokgoz, Silvia Secchi, Lyubov A. Kurkalova
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.