Article
Green & Sustainable Science & Technology
Jie Huang, Xiaolu Huang, Nanqi Song, Yu Ma, Dan Wei
Summary: Actively promoting the development of offshore wind power is crucial for China to fulfill international commitments, respond to climate change, ensure energy security, and improve energy infrastructure. The rapid development of offshore wind power in Liaoning Province has provided researchers with the ability to evaluate the suitability of wind power development sites, which can serve as a reference for decision makers.
Article
Green & Sustainable Science & Technology
Amanda Vinhoza, Roberto Schaeffer
Summary: This study evaluates Brazil's offshore wind potential through a novel approach, finding a total potential of 1688 GW, technical potential of 1064 GW, and environmental and social potential of 330 GW. The Northeast region of Brazil is the most economically attractive area for offshore wind development, while the Southeast region is less attractive. The results show that Brazil has significant offshore wind potential that can be sustainably developed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Marine
John Villalba, Nagi Abdussamie, Vahid Aryai, Natalia Nikolova, Kiril Tenekedjiev, Chien-Ming Wang, Irene Penesis
Summary: This study assessed 36 alternatives of co-located aquaculture and an offshore wind farm using a Bayesian network and an influence diagram. The best alternative was determined based on a multi-attribute utility function and ranked using the maximum expected utility rule. Sensitivity analysis showed that the constructed function is robust within a wide range of values.
Article
Energy & Fuels
Ida Marie Solbrekke, Asgeir Sorteberg
Summary: This study uses the Analytical Hierarchical Process (AHP) method within the Multi-Criteria Decision Analysis (MCDA) framework to assess the suitability of Norwegian offshore areas for wind power. The results show that the southern part of the Norwegian Economic Zone (NEZ) is the most suitable and robust region for offshore wind power deployment. This study provides guidance for wind power application in Norway.
Article
Engineering, Environmental
Yang Yu, Shibo Wu, Jianxing Yu, Haicheng Chen, Qingze Zeng, Ya Xu, Hongyu Ding
Summary: This study developed a new integrated MCDM framework to evaluate and rank offshore wind farm sites. The framework incorporates techniques such as interval 2-tuple linguistic and similarity aggregation to determine the optimal site through comprehensive weighting and alternative ranking.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Review
Multidisciplinary Sciences
Joshua J. Wimhurst, Chinedu C. Nsude, J. Scott Greene
Summary: As wind energy capacity continues to grow globally, finding suitable locations for wind farms has become increasingly important. This review examines the selection and representation of siting factors in wind farm site suitability studies. The analysis focuses on subjective modeling decisions, vocabulary choices, dataset selection, and data accessibility. Standardizing these factors would enhance comparisons between studies and improve communication of model outputs.
Article
Green & Sustainable Science & Technology
Sung-ho Hur
Summary: A new control strategy of sharing controllers/converters for wind turbines is proposed to improve reliability and energy yield, especially for offshore wind turbines. The Matlab/Simulink model is utilized for simulation of each turbine, as well as for simulating clusters of multiple turbines.
Article
Green & Sustainable Science & Technology
Sara Porchetta, Domingo Munoz-Esparza, Wim Munters, Jeroen van Beeck, Nicole van Lipzig
Summary: Offshore wind energy has been steadily increasing as an ideal alternative energy source. This study shows the power production and wake lengths of 1250 offshore wind turbines in the German Bight, highlighting the significant impact of waves on wind farm power production and wake lengths in the offshore wind environment.
Article
Energy & Fuels
Muhammet Deveci, Dragan Pamucar, Umit Cali, Emre Kantar, Konstanze Kolle, John O. Tande
Summary: Unlocking the high energy generation potential of offshore wind farms requires a comprehensive analysis in various disciplines, including technical, economic, logistical, and environmental aspects. Ranking alternative offshore wind energy projects based on different scenarios and circumstances helps prioritize investment decisions. This study aims to find the best site for a floating offshore wind farm in Norway, presenting a hybrid decision-making model that determines decision criteria weights using a new methodology. The proposed model concludes that Utsira Nord is the optimal site among the four alternatives, with stability verified through sensitivity analysis.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Gaia Brussa, Mario Grosso, Lucia Rigamonti
Summary: Mitigation of climate change can be achieved through consistent actions to reduce emissions from the energy sector. The use of renewable energy technologies, such as offshore wind power, has become a cost-effective option for transitioning to low emission power generation systems. This study presents a life cycle assessment of a floating offshore wind farm, demonstrating its promising potential and competitiveness compared to other renewable energy generation technologies.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Review
Computer Science, Information Systems
Syed Wajahat Ali, Muhammad Sadiq, Yacine Terriche, Syed Ahmad Raza Naqvi, Le Quang Nhat Hoang, Muhammad Umair Mutarraf, Mustafa Alrayah Hassan, Guangya Yang, Chun-Lien Su, Josep M. Guerrero
Summary: This study compares and relates the power quality (PQ) and stability challenges faced by offshore wind power plants in electrical power systems, emphasizing low voltage ride through (LVRT) schemes and associated grid codes, while summarizing and comparing various PQ issues and mitigation options.
Article
Green & Sustainable Science & Technology
Kjersti Solberg Eikrem, Rolf Johan Lorentzen, Ricardo Faria, Andreas Storksen Stordal, Alexandre Godard
Summary: When planning wind farms, optimizing the layout is crucial for increasing production and reducing costs. This paper focuses on minimizing the levelized cost of energy (LCOE) for a floating wind farm using wind data in Porto Santo, Portugal. The ensemble based optimization (EnOpt) method is employed to handle the layout problem with multiple constraints, and the extended version called EPF-EnOpt outperforms other methods in reducing LCOE and computational cost. It is also found that EPF-EnOpt performs the best in maximizing annual energy production without considering costs.
Article
Engineering, Marine
Hugo Diaz, C. Guedes Soares
Summary: An approach is developed for planning the logistics and installation aspects of a floating wind farm, considering the complexity of the problem due to specific constraints in transportation and manufacturing. The planning tool is based on the analysis of different logistical solutions and aims to ensure the coherence between logistic methods and project performance. A case study is performed for the CENTEC TLP concept in Spanish and Irish waters, revealing the major aspects affecting design and logistics factors. The tool is applicable for the preliminary design of wind farms worldwide.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Jakub Bobrowski, Grazyna Laska
Summary: This study presents a framework for an elimination algorithm to determine potential investment locations for photovoltaic farms in three separate counties in northeastern Poland. Through a multi-criteria decision support method, ten different location variants were derived, and five critical criteria were highlighted. The analysis revealed that the analyzed counties have optimal locations that satisfy all specified conditions.
Article
Environmental Sciences
Laura Florentina Gusatu, Christian Zuidema, Andre Faaij
Summary: The growing ambitions for renewable energy in the North Sea region require an accelerated deployment of offshore wind farms. However, the spatial competition and uncertainties regarding the interaction risks between existing sea uses and offshore wind farms are hindering the progress. To address this issue, a transparent and spatially explicit multi-criteria analysis tool is proposed, which quantifies and evaluates the main risks and opportunities resulting from the interaction between offshore wind farms and other sea user groups.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Remote Sensing
Nayani T. Ilangakoon, Pece V. Gorsevski, Anita Simic Milas
CANADIAN JOURNAL OF REMOTE SENSING
(2015)
Article
Engineering, Electrical & Electronic
Golrokh Mirzaei, Mohsin M. Jamali, Jeremy Ross, Peter V. Gorsevski, Verner P. Bingman
IEEE SENSORS JOURNAL
(2015)
Article
Engineering, Geological
Pece V. Gorsevski, M. Kenneth Brown, Kurt Panter, Charles M. Onasch, Anita Simic, Jeffrey Snyder
Article
Remote Sensing
Nayani T. Ilangakoon, Pece V. Gorsevski, Anita Simic Milas
CANADIAN JOURNAL OF REMOTE SENSING
(2015)
Article
Environmental Sciences
X. Liu, P. V. Gorsevski, M. M. Yacobucci, C. M. Onasch
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2016)
Article
Geography, Physical
Udaya K. Jayawardhana, Pece V. Gorsevski
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2019)
Article
Geosciences, Multidisciplinary
Meredith R. Avery, Kurt S. Panter, Pece V. Gorsevski
JOURNAL OF VOLCANOLOGY AND GEOTHERMAL RESEARCH
(2017)
Article
Geochemistry & Geophysics
Lauren R. Stewart, John R. Farver, Pece V. Gorsevski, Jeffrey G. Miner
APPLIED GEOCHEMISTRY
(2014)
Article
Engineering, Aerospace
Samira Shayeganpour, Majid H. Tangestani, Pece V. Gorsevski
Summary: This study compared the performances of four ML classifiers and found that RF and SVM algorithms performed the best in OBIA. Integration of Sentinel-1 and Sentinel-2A data showed promising results for rock relief extraction.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Pece V. Gorsevski
Summary: This research utilized genetic programming to predict landslide susceptibility spatially, achieving high accuracy through symbolic classification, digital elevation model, and topographic prediction attributes.
Article
Computer Science, Interdisciplinary Applications
Pece Gorsevski
Summary: This study proposes an interactive web-based modeling approach for rainfall-induced landslide susceptibility using FOSS. The approach integrates R statistical framework, Shiny package, and SHALSTAB model from SAGA GIS. The easy-to-use real-time application extends modeling efforts to non-expert users and can be used for educational purposes. The approach is validated using site-specific datasets and achieves high prediction accuracy.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Lai Wei, Golrokh Mirzaei, Mohammad W. Majid, Mohsin M. Jamali, J. Ross, P. V. Gorsevski, V. P. Bingman
2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
(2014)
Proceedings Paper
Computer Science, Information Systems
Golrokh Mirzaei, Mohsin M. Jamali, Peter V. Gorsevski, Joseph Frizado, Verner P. Bingman
2013 ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS
(2013)
Article
Forestry
Anita Simic Milas, Prabha Rupasinghe, Ivan Balenovic, Pece Grosevski
SEEFOR-SOUTH-EAST EUROPEAN FORESTRY
(2015)
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)
