Article
Economics
Karl Larsson, Rikard Green, Fred Espen Benth
Summary: In this study, a novel stochastic time series model is proposed to explain the stylized features of daily irradiation level data in 5 cities in Germany. The model is applicable for risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low-order autoregressive time series with seasonal level determined by an atmospheric clear-sky model. Additionally, the skewness property in residuals is detected and explained by a winter-summer regime switch. The stochastic variance is modeled by a seasonally varying GARCH dynamics. The winter and summer standardized residuals are proposed to follow a Gaussian mixture model to capture the bimodal distributions. The model is estimated and validated using observed data, and an application to energy markets studying the production at risk for a PV-producer is presented.
Article
Thermodynamics
Leonard Goke, Mario Kendziorski
Summary: The adequacy of time-series reduction depends on the length of the reduced time-series and how it is implemented into the model. Implementing the time-series as a chronological sequence with re-scaled time-steps prevents loss of load best, but results in overestimation of system costs for seasonal storage. Grouped periods require more time to solve for the same number of time-steps compared to chronological sequences.
Article
Energy & Fuels
Sambeet Mishra, Chiara Bordin, Kota Taharaguchi, Adri Purkayastha
Summary: This study proposes an event-based prediction method for data-driven decision-making, which effectively reduces computational time and data volume while maintaining high prediction accuracy. The method is applied to a wind power dataset, and the experimental results show its superiority over traditional time series prediction methods.
Article
Energy & Fuels
Juan Pablo Murcia, Matti Juhani Koivisto, Graziela Luzia, Bjarke T. Olsen, Andrea N. Hahmann, Poul Ejnar Sorensen, Magnus Als
Summary: This study validates atmospheric reanalysis data sets for simulating onshore wind generation time series for large-scale energy system studies. The results show that the mean wind speed scaling is necessary to match the distribution of generation at the country level, with NEWA-GWA2 and ERA5-GWA2 showing the highest accuracy and precision for simulating large-scale wind generation.
Article
Thermodynamics
R. Mena, E. Zio, P. Viveros
Summary: This paper proposes a practical methodological framework for simulating long-term wind speed time series for renewable energy systems. The framework based on the Matern stochastic process is used to identify and extract the periodic components of wind speed, and characterize the residual random component. The results show consistent statistical similarities between historical and simulated wind speed time series.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Hakan Acaroglu, Mustafa Gullu
Summary: This paper focuses on climate change in Turkey caused by energy consumption. The results show a negative relationship between renewable energy consumption and temperature, indicating that an increase in renewable energy can help decrease temperature. On the other hand, non-renewable energy consumption has a positive relationship with precipitation, suggesting a negative effect on climate change. Encouraging renewable energy consumption through government incentives can be a powerful solution to mitigate the negative effects of climate change in Turkey.
Article
Energy & Fuels
Sakitha Ariyarathne, Harsha Gangammanavar, Raanju R. R. Sundararajan
Summary: This paper presents a wind speed simulation method by detecting change points in multivariate nonstationary wind speed time series data. The method identifies changes in the covariance structure and decomposes the nonstationary time series into stationary segments, allowing for modeling and simulation within each segment. The proposed approach retains the statistical properties of the original time series and can be employed for analysis in power systems planning and operations. Experimental results demonstrate the capabilities of the change point detection method and its impact on wind generation in the economic dispatch problem.
Article
Environmental Sciences
Muge Akyol, Emine Ucar
Summary: In the globalizing world, various factors such as population growth, production, consumption habits, and economic growth contribute to climate change, leading to increased carbon emissions and negative impacts. Turkey is focusing on estimating greenhouse gas emissions in 2030 to assess economic damages and prioritize policies to reduce carbon footprint.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Suleyman Cakir
Summary: Recently, renewable energy generation (REG) forecasting has become a challenging task for effective energy management. Fuzzy time series (FTS) models stand out among these methods since they do not need extensive historical data or some statistical assumptions. In this paper, a hybrid methodology that combines the intuitionistic FTS method with the intuitionistic fuzzy cmeans method for REG forecasting of Turkey between the years 2000-2020 is recommended. The presented integrated model showed good performance and is useful for REG forecasting and other time series forecasting problems.
Article
Thermodynamics
Yongkang Xiong, Zhenfeng Zeng, Jianbo Xin, Guanhong Song, Yonghong Xia, Zaide Xu
Summary: As the proportion of renewable energy in electricity generation continues to increase, the uncertainty of renewable energy has brought significant challenges to power system security. This paper proposes a renewable energy time series regulation strategy considering N-1 faults to improve the power system economy and security.
Article
Physics, Applied
Rui Wang, Qi Liang, Saisai Wang, Yaxiong Cao, Xiaohua Ma, Hong Wang, Yue Hao
Summary: A self-rectifying resistive switching memristor synapse with a Ta/NbOx/Pt structure was demonstrated for deep reservoir computing. The memristor exhibited stable nonlinear analog switching characteristics, with a rectification ratio of up to 1.6 x 10(5), good endurance, and high uniformity. Based on these characteristics, a deep memristor reservoir computing system achieved a low normalized root mean square error (NRMSE) of 0.04 in time series prediction and retained good predictive power even at 90 degrees C with an NRMSE of 0.07.
APPLIED PHYSICS LETTERS
(2023)
Article
Mathematics
Alma Y. Alanis, Oscar D. Sanchez, Jesus G. Alvarez
Summary: A novel methodology using a high-order neural network and the extended Kalman filter algorithm for online training is proposed for time series forecasting in wind energy systems. Unlike other modern artificial intelligence forecasting methods, this approach is simple to implement, has low computational complexity, and can generate high-precision predictions in real-time.
Article
Green & Sustainable Science & Technology
Carlos A. Severiano, Petronio Candido de Lima e Silva, Miri Weiss Cohen, Frederico Gadelha Guimaraes
Summary: This study introduces an evolving forecasting model e-MVFTS based on fuzzy time series and an evolving clustering method based on the TEDA framework for forecasting problems in renewable energy systems. Evaluations were conducted on solar and wind energy forecasting as well as concept drift events.
Article
Engineering, Electrical & Electronic
Junkai Liang, Wenyuan Tang
Summary: Scenario based stochastic scheduling has attracted widespread attention globally for tackling renewable energy uncertainties. This article introduces a clustering approach based on mixed autoencoders to select a reduced scenario set from high-dimensional time series. The model outperforms existing techniques in statistical metrics and empirical analysis, proving its effectiveness in real-world case studies.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Vinicius Costa, Benedito Bonatto, Antonio Zambroni, Paulo Ribeiro, Miguel Castilla, Lucas Arango
Summary: This paper quantifies the effects of increasing penetration levels of renewable distributed generation and energy storage systems on the regulated electricity market. The proposed methodology combines the Bass diffusion model and the optimized tariff model to assess long-term market outcomes. Application of the methodology to a concession area in southern Brazil shows that energy storage systems are feasible with appropriate public policies.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Economics
Fatih Karanfil, Yuanjing Li
Article
Thermodynamics
Fatih Karanfil, Luc Desire Omgba
Article
Economics
Fatih Karanfil, Yuanjing Li
Article
Economics
Fatih Onur Hocaoglu, Fatih Karanfil
Article
Economics
Thomas Jobert, Fatih Karanfil, Anna Tykhonenko
Article
Economics
Bertrand Rioux, Abdullah Al Jarboua, Fatih Karanfil, Axel Pierru, Shahd Al Rashed, Colin Ward
Summary: Structural changes in the oil market are impacting market dynamics and cooperation among producers. Competitive oil market scenarios indicate that prices decline initially but recover by 2030. A reduction in financial resources can benefit low-cost producers like Saudi Arabia in a competitive market.
Article
Ecology
Fatih Karanfil, Luc Desire Omgba
Summary: Oil-exporting countries need to diversify their economies to protect against revenue volatility and carbon risk. The success of diversification is influenced by their structural and institutional factors, with higher quality infrastructure, human capital, and research and development efforts leading to greater economic stability and a successful energy transition.
ECOLOGICAL ECONOMICS
(2023)
Article
Economics
Fatih Karanfil, Axel Pierru
Summary: The study develops a partial equilibrium framework to assess the opportunity cost of domestic oil consumption for an oil-exporting country, finding that the most efficient pricing policy is to set the domestic price equal to the opportunity cost, and evaluates the net welfare gains from reforming domestic oil pricing. A numerical illustration for Saudi Arabia is provided to demonstrate the practical value of the proposed framework.
Article
Economics
Thomas Jobert, Fatih Karanfil, Anna Tykhonenko
MACROECONOMIC DYNAMICS
(2019)
Article
Economics
Fatih Karanfil, Luc Desire Omgba
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2019)
Article
Hospitality, Leisure, Sport & Tourism
Fatih Karanfil
SPORT MANAGEMENT REVIEW
(2017)
Article
Economics
Thomas Jobert, Fatih Karanfil, Anna Tykhonenko
Proceedings Paper
Computer Science, Theory & Methods
Ozgurol Ozturk, Kerem Rizvanoglu, Sezgin Polat, Fatih Karanfil, Ozan Bakis
INTERNATIONALIZATION, DESIGN AND GLOBAL DEVELOPMENT
(2011)
Article
Economics
Cecile Couharde, Fatih Karanfil, Eric Gabin Kilama, Luc Desire Omgba
JOURNAL OF COMPARATIVE ECONOMICS
(2020)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)