Article
Engineering, Electrical & Electronic
Anmar Arif, Bai Cui, Zhaoyu Wang
Summary: This paper presents an optimization framework for sequential reconfiguration in distribution system restoration using various switching devices. It introduces a novel multi-phase method to find the optimal sequential operation and repair process. The proposed method considers types and operational limits of different switching devices, and has been validated on benchmark systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Construction & Building Technology
Faegheh Moazeni, Javad Khazaei
Summary: This paper discusses the cybersecurity challenges faced by water distribution systems in smart cities, proposes a false data injection cyberattack model, and emphasizes the importance of investigating and analyzing these cyberattacks to enhance the security and detection algorithms of the relevant water systems.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Y. F. Zhang, Y. P. Li, G. H. Huang, Y. Ma, X. Zhou
Summary: The CBFP-WFEE model developed in this study shows advantages in addressing ratio-objective problems, balancing hierarchical decision levels conflicts, and reflecting correlated uncertain variables risks. The model applied to the Ili-Balkhash basin in Central Asia reveals significant increases in livestock water allocation, hydropower generation, and ecosystem water allocation by 2050. Compared to conventional programming models, CBFP-WFEE model offers higher ecosystem service value and efficiency of water-land resources, providing feasible and sustainable alternatives for the WFEE nexus system.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Shengyuan Liu, Changming Chen, Yicheng Jiang, Zhenzhi Lin, Hongtao Wang, Muhammad Waseem, Fushuan Wen
Summary: A bi-level coordinated power system restoration (BiCPSR) model is proposed in this study, considering the support of multiple flexible resources. The upper level optimizes the start-up sequence of generators and network reconfiguration using topology indices and restoration characteristics. The lower level considers the uncertainties of RES and EVS and utilizes multiple flexible resources to accelerate the restoration process and maximize the restorable load.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Environmental Sciences
James R. A. Butler, Federico Davila, Robyn Alders, R. Michael Bourke, Steve Crimp, John McCarthy, Andrew McWilliam, Anton S. M. Palo, Lisa Robins, Michael J. Webb, Monica van Wensveen, Todd Sanderson, Daniel Walker
Summary: The frequency and severity of shocks to food systems are increasing globally, exacerbated by events like the current COVID-19 outbreak. Rapid assessments can help identify priority interventions by integrating diverse knowledge and data, but also come with risks and challenges that need to be addressed.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Thermodynamics
Shanshan Huang, Cai Suo, Junhong Guo, Jing Lv, Rui Jing, Lei Yu, Yurui Fan, Yanming Ding
Summary: This paper establishes a water-energy nexus planning framework to assist optimal decision-making using bi-level programming and multi-uncertainty. By integrating a regional climate model, multiple linear regression, and bi-level interval flexible programming, an integrated prediction optimization model is developed as the core of the framework and applied to planning Zhengzhou City. The research findings indicate that renewable energy will be largely developed under limited water availability.
Article
Green & Sustainable Science & Technology
Song Gao, Nan Liu
Summary: This study aims to measure and improve the resilience of port-hinterland container logistics transportation systems (PHCLTSs) by establishing bi-level programming models to help the systems recover efficiently in the face of emergencies.
Article
Computer Science, Artificial Intelligence
Nazek A. Alessa
Summary: This research proposes an interactive approach to solve Bi-level linear fractional programming problems, describing decision makers uncertainty with membership and non-membership functions to achieve adequate solutions and consider overall balance between two levels.
Article
Energy & Fuels
J. W. Gong, Y. P. Li, J. Lv, G. H. Huang, C. Suo, P. P. Gao
Summary: The study developed a bi-level joint-probabilistic programming method for planning multi-regional energy systems in China and found that the share of non-fossil energy in China's energy supply would increase from 2021 to 2050. The top three suppliers of renewable electricity would be Sichuan, Inner Mongolia, and Gansu, and the CO2 emission of China would peak between 2026-2030. The study also proposed strategies to reduce CO2 emissions.
Article
Engineering, Electrical & Electronic
Jia Su, Hsiao-Dong Chiang, Yuan Zeng, Ning Zhou
Summary: The steady-state security region of the integrated energy system is a useful tool for rapid security assessment and evaluation, derived under nonlinear and non-convex models without simplification. A novel computation scheme is proposed to eliminate estimation errors, showing the region to be non-convex and composed of disjoint components. Numerical studies demonstrate the proposed method significantly improves accuracy over existing techniques.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Reza Lotfi, Nooshin Mardani, Gerhard-Wilhelm Weber
Summary: This study utilizes robust bi-level programming technique and game theory to locate renewable energy sites, demonstrating that the incorporation of uncertainties can enhance energy generation and supplier's profit. Sensitivity analysis shows that increasing uncertainty decreases generated energy but increases supplier's profit; raising the discounting rate gradually diminishes supplier's profit; as the scale of problems increases, both generated energy and supplier's profit are boosted.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Environmental Sciences
Chongfeng Ren, Yashi Wang, Linghui Yu, Hongbo Zhang, Zhishuai Xie
Summary: In this study, a fuzzy max-min decision bi-level multi-objective interval programming model was developed to address the competition and uncertainty in water resources allocation. The model was applied to a case study in Wuwei City, China and the results showed that as water resources decrease, agricultural economic benefits and water distribution fairness decrease as well. The model has the advantage of dealing with conflicts among different levels and can provide reasonable water resources allocation schemes for decision-makers.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Nutrition & Dietetics
Mahak Singh, R. N. Patton, R. T. Mollier, N. Pongener, Rekha Yadav, Vinay Singh, Rahul Katiyar, G. D. Singh, Sourabh Deori, Sunil Doley, J. K. Chaudhary, Subhash Babu, H. Kalita, V. K. Mishra
Summary: The indigenous chicken production system plays an important role in the agricultural ecosystems of the Indian Himalayan region, contributing to household food and economic security. In the sub-temperate region, households have larger indigenous chicken flocks and higher livestock units, and value the indigenous chicken more. However, the mortality rate of adult birds is higher in the sub-temperate region compared to other agro-ecologies, but it also has larger flock size, higher egg production and consumption.
FRONTIERS IN NUTRITION
(2023)
Article
Thermodynamics
Li Zhang, Yan Gao, Hongbo Zhu, Li Tao
Summary: This paper aims to design a real-time pricing strategy for the smart grid integrating multi energy generation on the supply side and considering small-scale distributed energy generation and power storage devices for users. By formulating a bilevel stochastic model within the framework of Markov decision process, the interactive characters of both supply and demand sides are well captured. A novel distributed online multi-agent reinforcement learning algorithm is proposed to solve the model without acquisition of transition probabilities, leading to adaptive real-time electricity prices and optimal power supply and consumption strategy. Simulation results demonstrate the good performance of the proposed pricing method and algorithm in peak shaving, valley filling, and guaranteeing benefits for both supply and demand sides.
Article
Engineering, Electrical & Electronic
Jia Su, Hsiao-Dong Chiang, Luis Fernando Costa Alberto
Summary: The two-time-scale feature of the integrated energy system (IES) was explored to establish conditions allowing decomposition of the system into fast and slow subsystems. The complete characterization of the IES steady-state security region via the stable equilibrium manifold of the fast and slow subsystems was derived and theoretically proven. Numerical studies confirmed the advantages of the proposed characterization, showing a 20-fold speed up in calculation time compared to direct integration of the original IES system.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
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)