Article
Thermodynamics
Waqas Ahmed, Jamil Ahmed Sheikh, Salman Ahmad, Shahjadi Hisan Farjana, M. A. Parvez Mahmud
Summary: This paper explores the impact of accuracy of orientation angles on the potential of greenhouse gas mitigation in photovoltaic systems. It demonstrates that precise orientation can increase the output of PV systems and reduce greenhouse gas emissions. Adjusting the orientation angles of PV systems has the potential to avoid significant greenhouse gas emissions without additional costs.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Energy & Fuels
Benjamin P. M. Laevens, Frank P. Pijpers, Harm Jan Boonstra, Wilfried G. J. H. M. Sark, Olav ten Bosch
Summary: This study presents a novel method for determining the installation parameters of photovoltaic systems. By using openly available data and comparing with actual data, the results show that the method is accurate and reliable.
Article
Thermodynamics
Jiaxuan Jing, Yong Zhou, Lingyu Wang, Yanfeng Liu, Dengjia Wang
Summary: This study aims to fill the gaps in global solar radiation data by using limited data from 85 meteorological observation stations and routine meteorological data from 2001 stations. The spatial distribution of global solar radiation and diffuse solar radiation is obtained using the Inverse Distance Weighing model. The optimum tilt angle of photovoltaic systems is calculated using the Collares-Pereira and Rabl hourly solar radiation model and the solar radiation on sloped surfaces model. The results show the range of annual global solar radiation and diffuse solar radiation in China, as well as the optimal tilt angle and photovoltaic power generation potential.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Moon Keun Kim, Khalid Osman Abdulkadir, Jiying Liu, Joon-Ho Choi, Huiqing Wen
Summary: This study introduces an advanced strategy of combining a reflector with PV panels on a building to improve electricity generation. By optimizing the shape and tilt angle of the reflector using polished aluminum material, the solar radiation gain and electricity output of the PV panels can be significantly increased.
Article
Economics
Katarzyna Maciejowska, Weronika Nitka, Tomasz Weron
Summary: Recent years have seen rapid development of renewable energy sources globally, with predictions of RES and demand levels recognized as key factors for future electricity prices. Bias in forecasts of fundamental variables published by TSOs can be improved with simple regression models, resulting in more accurate price predictions and increased revenues.
Article
Green & Sustainable Science & Technology
Chungil Kim, Hyung-Jun Song
Summary: Photovoltaic modules and systems in airports are important for achieving self-sustainability, but their reflection of solar light can cause glare accidents. This study calculates the risk of glare from airport-based PVs and proposes a design rule to minimize glare.
Article
Energy & Fuels
Somil Yadav, Caroline Hachem-Vermette, Sarat Kumar Panda, G. N. Tiwari, Smruti Sourava Mohapatra
Summary: Developing a BIPV system on top of a suitable building in urban areas can generate electrical and thermal energies while creating additional living space. Determining optimal azimuth and tilt angles requires consideration of shadow from nearby buildings, relative height, plan orientation, plan area, position, and horizontal distance. The proposed model accurately calculates these angles and energy, showing that efficiency can be increased by adjusting the south-facing azimuth angle and incorporating water flow over the PV panel.
Article
Thermodynamics
Shi-Jie Xu, Shuang-Ying Wu, Lan Xiao, Zhi-Li Chen
Summary: This study investigated the effects of tilt angle on the performance of compound parabolic concentrating photovoltaic system using the coupled Monte Carlo ray tracing and finite volume method. The results show that an increase in tilt angle leads to a decrease in the uniformity of irradiation flux and temperature distribution.
Article
Engineering, Marine
Chunjie Wang, Xiaodong Song, Qiang Fu, Lin Cui, Peng Chen
Summary: This paper investigates the power generation performance of a photovoltaic (PV) power supply system for marine buoys and the impact of different tilt angles on the system output. Experimental results show that the output power of the system decreases by an average of 3% for every 5° increase in the tilt angle of the PV modules. The higher the tilt angle, the more pronounced the impact on the system output performance.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Dariusz Borkowski, Piotr Oramus, Micha l Brzezinka
Summary: Battery energy storage systems (BESS) are a solution to address the negative impact of renewable energy sources (RES) on power systems, and they can improve the profitability of renewables by shifting energy to a higher price interval in the daily market (DM). This study proposes a dedicated control strategy for PV-BESS to maximize the DM revenue. The effectiveness of the algorithm is demonstrated through an example of real 1 MW PV data, showing a significant increase in the rate of return of the energy storage using the additional control mode.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Raghed Melhem, Yomna Shaker
Summary: This article focuses on optimizing the tilt angle of solar panels in the GCC countries. By using a mathematical model and comparing it with the PVWatts calculator, the study calculates the optimal tilt angle based on latitude and longitude. The importance of choosing the right tilt angle for maximizing solar energy production is emphasized. The results show that changing the tilt angle 12 times a year can increase power output by 10.9%. The study highlights the importance of selecting the optimal tilt angle and provides valuable data for the GCC countries.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Thermodynamics
Joao Graca Gomes, Juan Jiang, Cheng Tung Chong, Joao Telhada, Xu Zhang, Sergio Sammarchi, Shuyang Wang, Yu Lin, Jialong Li
Summary: The coupling of electrical batteries with variable renewable power generation can increase the production flexibility and revenue of power plant operators. This study focuses on developing an optimization model to manage the operational revenue of a renewable power unit comprising a wind farm, solar photovoltaic (PV) power plant, and electrical battery. The study analyzes various scenarios and case studies to assess the value of storage for revenue maximization.
Article
Environmental Sciences
Sonia Z. Issaq, Shamil K. Talal, Aasim A. Azooz
Summary: A new model has been developed to determine the optimal tilt angle for PV panels and solar collectors based on yearly, seasonal, and monthly basis. The model estimates the diffusion component of solar radiation using Orgill and Holland's model, and the relationship between diffusion and direct components is derived from empirical data. The optimal tilt angle for each month, season, and year is determined by maximizing the total amount of diffused and direct radiation. The model is programmed in MATLAB and is consistent with experimental data and other published model predictions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Loiy Al-Ghussain, Muhammed A. Hassan, Ahmed Hamed
Summary: Compact installation of solar photovoltaic systems is necessary in urban regions with limited available solar irradiance. This study evaluates three installation schemes of dual-row near-wall ground-mounted PV systems. Mathematical models are developed to optimize the techno-economic performance based on tilt angles and reflector parameters. The results show favorability of the proposed schemes in terms of energy production and cost compared to the baseline configuration.
Article
Multidisciplinary Sciences
Xuecheng Wang, Xing Gao, Yuming Wu
Summary: Solar photovoltaic (PV) is popular in the market due to its clean and renewable features. It is crucial to conduct comprehensive analysis of rooftop PV projects in tropical regions for effective policy-making. This study focuses on Nanning and evaluates the optimal PV installation options for different roof types, estimating electricity generation potential and additional returns. The findings reveal the optimal azimuth and tilt angles for Nanning, suggesting practical strategies for rooftop PV installation based on roof types. The total potential of rooftop PV projects in Nanning is estimated to be 19.99 TWh/year, resolving 76.1% of the social electricity demand. This research provides valuable insights for rooftop PV installation and optimization in tropical regions of China and serves as a reference for other areas.
Article
Chemistry, Physical
A. Ajanovic, R. Haas
Summary: Hydrogen and fuel cell vehicles are considered important for decarbonising transportation systems, but are still seen as a long-term option. Economic performance and stable policy frameworks are crucial for their future deployment and reaping full benefits in the transport sector.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Amela Ajanovic, Marina Siebenhofer, Reinhard Haas
Summary: The paper discusses the economics of e-mobility in Vienna and its environmental impact, exploring the historical development, policy framework, and scenarios for mobility in Vienna up to 2030. A key finding is that ambitious deployment of battery electric vehicles could reduce total energy demand in road transport by about 60% in 2030 compared to 2018. The study also highlights the importance of policies, subsidies, and emission-free zones in shaping the future development of private and public e-mobility in Vienna.
Review
Energy & Fuels
Amela Ajanovic, Reinhard Haas, Manfred Schrodl
Summary: Electric mobility is a potential solution to environmental problems caused by transport modes, and efforts are being made globally to increase the use of various types of electric vehicles. While electricity has been successfully used in some public transport modes for over a hundred years, policies implemented will have a significant impact on the future development of electric mobility.
Article
Energy & Fuels
Albert Hiesl, Jasmine Ramsebner, Reinhard Haas
Summary: Battery-powered electric mobility, alongside hydrogen-powered vehicles, is considered the most promising technology for decarbonising the transport sector, as long as the electricity used is from renewable sources. A model-based analysis presented in this paper enables the creation of different driving and electricity load profiles, which can be used to assess future charging and load control potentials. By analyzing driving and electricity demand data, it is possible to scale up and analyze for an entire country.
Review
Energy & Fuels
Jasmine Ramsebner, Reinhard Haas, Amela Ajanovic, Martin Wietschel
Summary: Sector coupling aims to reduce greenhouse gas emissions by integrating renewable energy sources across different sectors. However, interpretations of sector coupling vary, from solely focusing on using excess renewable electricity to taking a more holistic view of integrated energy systems.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2021)
Article
Energy & Fuels
Marina Siebenhofer, Amela Ajanovic, Reinhard Haas
Summary: This study analyzes the impact of policies on the dissemination of BEVs in countries with significant market shares, finding that non-monetary incentives such as access to specific zones and bus lanes for BEVs combined with registration taxes, low electricity prices, and high fuel prices are very favorable conditions.
Article
Thermodynamics
Zejneba Topalovic, Reinhard Haas, Amela Ajanovic, Albert Hiesl
Summary: The Paris Agreement has influenced a new generation of renewable energy systems, impacting energy balancing costs and questioning the stability of future energy supply. This study investigates the cost-effectiveness of pumped hydro storage and large-scale battery storage systems, showing the economic justification and grid flexibility potential of pumped hydro storage compared to sodium-sulfur batteries.
Review
Energy & Fuels
Reinhard Haas, Claudia Kemfert, Hans Auer, Amela Ajanovic, Marlene Sayer, Albert Hiesl
Summary: This article reviews the relevance of storage options for electricity in terms of supply and demand balancing, costs, economics, and electricity market design. It highlights that the perspectives of electricity storage systems from an economic viewpoint are highly dependent on various factors.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2022)
Review
Energy & Fuels
Luca Casamassima, Luigi Bottecchia, Axel Bruck, Lukas Kranzl, Reinhard Haas
Summary: This paper aims to fill the research gap by comparing the concepts of Positive Energy Districts (PEDs) and similar concepts, based on the three pillars of sustainability. It seeks to determine the connections between these concepts, homogenize the use of terms and draw lessons learnt from other energy-saving concepts.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2022)
Review
Energy & Fuels
Reinhard Haas, Marlene Sayer, Amela Ajanovic, Hans Auer
Summary: The concept of technological learning is a method for anticipating cost developments in technologies. The homogeneity and modularity of a technology, as well as stable legal and regulatory conditions, are crucial for high learning rates.
WILEY INTERDISCIPLINARY REVIEWS-ENERGY AND ENVIRONMENT
(2023)
Article
Business
Eike Blume-Werry, Claus Huber, Gustav Resch, Reinhard Haas, Martin Everts
Summary: This study explores the market value and risks of wind and PV in the European market over the next three decades. Results show that natural gas and carbon prices have a significant impact, while coal prices have a limited influence. There are substantial merit order effects on wind and PV capture prices under different availabilities.
JOURNAL OF WORLD ENERGY LAW & BUSINESS
(2021)
Review
Business, Finance
Reinhard Haas, Amela Ajanovic, Jasmine Ramsebner, Theresia Perger, Jaroslav Knapek, Jan W. Bleyl
Summary: This paper emphasizes the importance of long-term investments in green energy infrastructure and the optimization of innovative technology financing from a societal perspective. Long-term financing models for energy solutions play a crucial role in areas such as investments in renewable energy technologies, new network infrastructure, and energy efficiency investments.
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.