Article
Environmental Studies
Polina Alexeenko, Eilyan Bitar
Summary: We conducted a real-world pilot study to investigate a new pricing and control mechanism for coordinating residential EV charging loads. The mechanism offers EV owners a range of pricing options based on their willingness to delay their charging completion times. By optimizing the real-time power drawn by EVs, a smart charging system minimizes strain on the grid while ensuring all EVs are charged by user-requested deadlines. Our findings show that, on average, customers were willing to delay their charging by over eight hours, allowing the smart charging system to flatten the aggregate load curve and eliminate demand spikes. Importantly, customer participation rates remained stable throughout the study, indicating the viability of this mechanism as a non-wires alternative to meet the increasing electricity demand from EVs.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
L. G. Gonzalez, Daniel Cordero-Moreno, J. L. Espinoza
Summary: The paper evaluates the energy behavior of a battery-electric bus and discusses the technical feasibility of completely replacing the public transport fleet in an Andean city with BEBs. It also proposes a feasible alternative to integrate renewable energy sources for BEB charging.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Usman Munawar, Zhanle Wang
Summary: The growth of distributed energy resources presents significant challenges to power systems, but these challenges can be addressed and energy efficiency improved through the development of vehicle-to-grid models, solar energy prediction models, and unit commitment models.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Abhishek Kharra, Rajive Tiwari, Jyotsna Singh, Tanuj Rawat
Summary: This paper investigates the optimal operation of energy resources in smart distribution systems (SDS). By minimizing the total operating cost and considering the energy loss constraint, a new model is proposed to optimize the coordination of distributed energy resources and electric vehicles in the distribution system. Simulation results demonstrate the effectiveness of the model.
ELECTRICAL ENGINEERING
(2023)
Review
Green & Sustainable Science & Technology
Tirupati U. Solanke, Pradeep K. Khatua, Vigna K. Ramachandaramurthy, Jia Ying Yong, Kang Miao Tan
Summary: This paper critically reviews recent literature on the multilevel control and management of electric vehicles integrated with distributed generators and renewable sources in a microgrid system. It discusses the comprehensive study of a global controller to achieve coordination between multi-level aggregators and optimized techniques of a microgrid energy management system.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
K. Purnell, A. G. Bruce, I. MacGill
Summary: Battery electrified public transit (BEPT) is a promising solution to reduce transport emissions and air pollution, but it poses challenges to the low-voltage distribution network. This paper presents a tool for estimating the energy and charging demand of BEPT using public data and demonstrates it through case studies. The impact of BEPT on the low-voltage network is significant, increasing peak demand and exacerbating evening peak demand in the case of New South Wales.
Article
Economics
Marilyn A. Brown, Oliver Chapman
Summary: The analysis reveals that the under-investment in demand response in Georgia is primarily due to the need for financing initiatives, market innovations, infrastructure modernization, and enablers of socio-economic inclusion. Understanding barriers and motivators for demand response can help other countries and regions identify and overcome similar issues.
Article
Chemistry, Physical
Ali Rifat Boynuegri, Burak Tekgun
Summary: This paper presents a real-time energy management system for an off-grid smart home. The system utilizes wind turbines and photovoltaics as the primary energy sources, with a fuel cell as a backup. Surplus energy is converted to hydrogen through an electrolyzer. Data is collected from a real smart home in the Yildiz Technical University Smart Home Laboratory. The study aims to reduce hydrogen consumption and maximize the use of surplus renewable energy by controlling controllable loads with a fuzzy logic controller, while maintaining user comfort. Load shifting and tuning increase the demand supplied by wind turbines and photovoltaics by 10.8% and 13.65% respectively. This leads to a 7.03% reduction in annual hydrogen consumption and a 4.6% improvement in the average annual efficiency of the fuel cell.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Lingxiang Yun, Minkun Xiao, Lin Li
Summary: A framework of interactive vehicles-to-manufacturing (V2M) energy sharing system is proposed to improve energy demand flexibility and enhance demand response effectiveness in the manufacturing sector. The proposed approach achieves significant improvements in energy demand flexibility and energy cost reduction compared to traditional manufacturing demand response schemes.
Article
Economics
Matthew Grimley, Gabriel Chan
Summary: Load management is the practice of adjusting demand in the electricity system through the control of grid-edge technologies. This study examines how electric cooperatives in the United States deployed over 600,000 load management devices over 70 years. The findings suggest that DER deployments are not solely determined by policies or markets, but rather are polycentric acts of cooperation and competition.
Article
Energy & Fuels
Saeid Shojaei, Jamal Beiza, Taher Abedinzadeh, Hasan Alipour
Summary: This study presents an energy management system for urban electricity distribution networks with increasing electric vehicle presence. A microgrid is formed by integrating a smart parking lot, renewable energy sources, and local dispatchable generators, considering the uncertainties of wind speed, solar irradiation, and load consumption. The optimal operation of the system aims to lower costs, and a demand response program based on a time of use tariff is utilized for load shifting. The suggested model includes spinning reserve and simulation results show cost reduction.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Energy & Fuels
Sohrab Nizami, Wayes Tushar, M. J. Hossain, Chau Yuen, Tapan Saha, H. Vincent Poor
Summary: This paper examines the implementation and challenges of the transactive energy (TE) framework in low voltage residential networks. It first discusses the motivation and significance of the TE framework and outlines its key components. Then, it reviews the state-of-the-art TE methodologies and industry projects. Finally, it identifies several challenges relevant to TE frameworks in LV residential networks and provides concluding remarks.
Review
Thermodynamics
Adila Fakhar, Ahmed M. A. Haidar, M. O. Abdullah, Narottam Das
Summary: The smart grid is a collection of renewable energy resources and enabling technologies with intelligent control to improve asset utilization. This paper explores the evolution of smart grids with renewable energy and provides an overview of research works on smart energy systems management and control. It also analyzes the application of cloud computing, the internet of things, and blockchain technology in renewable energy projects, and quantifies communication technology performance through real cases.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Chemistry, Analytical
Hafiz Abdul Muqeet, Haseeb Javed, Muhammad Naveed Akhter, Muhammad Shahzad, Hafiz Mudassir Munir, Muhammad Usama Nadeem, Syed Sabir Hussain Bukhari, Mikulas Huba
Summary: A microgrid is a distributed generation system connected to AC, DC, or hybrid loads and energy storage systems. Campus microgrids, which usually include distributed generation resources, energy storage, and electric vehicles, are an important load type. The main objective of a microgrid is to provide a sustainable, economical, and reliable energy system. Numerous studies have been conducted in recent years to review various aspects of microgrid energy management systems, such as energy sustainability, demand response strategies, and control systems.
Article
Engineering, Electrical & Electronic
Selina Kerscher, Pablo Arboleya
Summary: Future energy systems rely on the expansion and management of low-carbon technologies to achieve climate goals. Studies have shown issues with voltage violation and congestion from the integration of high-penetration intermittent renewable energy sources and electric vehicles in distribution networks. Aggregators play a key role in energy market liberalisation and the integration of distributed energy resources in the latest European framework.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Rogerio Rocha, Ricardo Silva, Joao Mello, Sergio Faria, Fabio Retorta, Clara Gouveia, Jose Villar
Summary: This paper proposes a three-stage model for managing energy communities, addressing individual energy bill minimization, energy surplus sharing, and grid constraint solving. The model optimizes schedules and resources, guarantees fair benefit sharing, and compensates for loss of profit or utility. Case studies demonstrate the potential benefits of negative allocation coefficients and the importance of stage one and fair internal pricing.
Review
Energy & Fuels
Joao Mello, Cristina de Lorenzo, Fco. Alberto Campos, Jose Villar
Summary: This paper emphasizes the importance of modeling and simulating local electricity markets and pricing mechanisms to better understand their behavior, design rules for real applications, and assess financial compensations. It provides a review of pricing mechanisms and simulation approaches, including a proposed innovative pricing mechanism based on post-delivery pool market principles. The paper also highlights the challenges and serves as a practical guide for designing internal financial compensations in energy communities.
Article
Energy & Fuels
Christian Calvillo
Summary: This paper focuses on the implementation of energy efficiency scenarios in energy system models, and explores how different approaches can significantly affect the results and policy decisions. The study finds that energy efficiency scenarios with the same target can yield significantly different outcomes in terms of technology mix, energy use, emissions, and costs. Furthermore, the study highlights that there is no overall best energy efficiency scenario, as each scenario impacts different policy targets which may conflict with each other.
Review
Energy & Fuels
Keran Sarah Boyd, Christian Calvillo, Tanja Mueller, Xiaoyi Mu, Tong Zhu
Summary: This paper provides a literature review of fuel and transport poverty in the U.K., specifically focusing on Scotland. It argues that policy interventions should aim to identify vulnerable households. The paper examines the definitions and indicators used to measure fuel and transport poverty, highlighting the complexity of these challenges and the need for a multidimensional approach.
Article
Thermodynamics
J. Mello, J. Villar
Summary: Prosumers can share locally produced energy through collective self-consumption and renewable energy communities, while also providing flexibility services for system solutions. The development of local energy markets and local flexibility markets faces challenges due to existing regulations and barriers. This work proposes innovative designs and integration approaches, along with identifying regulatory barriers, to improve the common regulatory frameworks.
Article
Energy & Fuels
Christian F. Calvillo, Antonios Katris, Oluwafisayo Alabi, Jamie Stewart, Long Zhou, Karen Turner
Summary: The UK government's plans to decarbonise residential heating will lead to significant changes in the energy system and will have various impacts on users and suppliers.
ENERGY STRATEGY REVIEWS
(2023)
Article
Economics
Karen Turner, Antonios Katris, Abdoul Karim Zanhouo, Christian Calvillo, Julia Race
Summary: This research focuses on the impacts of introducing a new Scottish CO2 transport and storage industry on the UK economy. It suggests that exploiting overseas export opportunities is crucial for generating economic activity without increasing demands on the public purse. However, it also highlights that increased labor demand may lead to consumer price impacts and limit real income and public budget gains.
Proceedings Paper
Green & Sustainable Science & Technology
Tiago Tavares, Joao Mello, Ricardo Silva, Armando Moreno, Andre Garcia, Joao Pacheco, Carlos Pereira, Mario Amorim, Clara Gouveia, Jose Villar
Summary: This paper presents an innovative digital platform that manages energy communities with self-consumption and energy trading in a local electricity market. The platform's architecture based on micro-services allows for scalability and ease of incorporating new functionalities while ensuring community and energy transaction security. The paper describes the transactions and settlement procedures, adapted for Portuguese regulation, and analyzes the results of the platform operating in a post-delivery pool market. It contributes to understanding and improving renewable energy communities' business models and management, providing insights for policymakers, researchers, and practitioners.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Joao Mello, Fabio Retorta, Ricardo Silva, Jose Villar, Joao T. Saraiva
Summary: In Walrasian markets, an auctioneer proposes prices to market participants, who react by revealing their desired quantities to buy or sell. The auctioneer adjusts the prices based on supply and demand until equilibrium is reached. We propose a new Walrasian design for local electricity markets with real-time iterations between auctioneer and participants, using previous imbalances to correct the next auction price. Simulations are conducted to test convergence and the ability to achieve efficient dynamic prices.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Luis Rodrigues, Diogo Faria, Fabio Coelho, Joao Mello, Joao T. Saraiva, Jose Villar, Ricardo J. Bessa
Summary: The new energy policies of the European Union aim to decarbonize the energy system by promoting the use of variable renewable energy sources. To accommodate the volatility of these sources, there is a growing need for flexibility in the electricity markets, leading to the development of legislation and incentives to engage consumers in providing flexibility services to the grid system.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Ricardo Silva, Sergio Faria, Armando Moreno, Fabio Retorta, Joao Mello, Jose Villar
Summary: When the price of energy shared within an energy community is based on a local energy market, participants need to bid adequately to ensure participation is more beneficial than non-participation. Alternatively, a centralized energy community bill minimization can be considered, but a fair and easily explainable mechanism is required to share the collective benefits among members without harming individual optimal behavior and providing the correct economic signal. This paper analyzes and compares common pricing mechanisms for internal compensation within a centrally managed energy community, using simple case examples to identify the fairest mechanisms that provide accurate economic signals to participants.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Joao Agrela, Igor Rezende, Tiago Soares, Clara Gouveia, Ricardo Silva, Jose Villar
Summary: This study introduces an approach for addressing the flexibility of energy consumption in Renewable Energy Communities (RECs). It suggests a two-stage model that quantifies the flexibility provided by domestic energy resources operation and negotiation on a market platform. The first stage determines the optimal consumption and technical flexibility of each prosumer's resources, while the second stage involves offering this technical flexibility on a local flexibility-only market structure. The prosumers' flexibility bids in the market are priced based on their base tariff, which motivates their participation and encourages the reduction of their energy bills or the increase in their utility.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Andre Rodrigues de Oliveira, Jose Villar Collado, Joao Tome Saraiva, Fco. Alberto Campos
Summary: This paper proposes a new hybridization approach to improve the CEVESA model for the joint dispatch of energy and secondary reserve capacity in the Iberian Electricity Market. The CEVESA model often shows a systematic bias in market prices compared to real market prices due to its inability to capture true variable production costs and additional markups in generation companies' pricing strategies. The proposed methodology corrects the power plants' markup by using a functional estimation of the offering unit cost based on initial CEVESA production costs.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Pedro Guimaraes, Armando Moreno, Joao Mello, Jose Villar
Summary: This work presents a framework for developing efficient circular renewable energy communities in the agricultural sector, by analyzing the resources and energy flows among agricultural activities, water, and electrical and thermal energies. Local industries and agricultural facilities can invest in solar PV plants, biogas production from livestock residues, and cogeneration plants to meet their energy needs. A simplified case study demonstrates the optimal capacities of the biogas and cogeneration plants based on the supply from public grids and the thermal and electrical energy needs.
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM
(2023)
Article
Multidisciplinary Sciences
Rosendo Castanon, Fco. Alberto Campos, Jose Villar, Angel Sanchez
Summary: This paper proposes an agent-based model that utilizes the Bush-Mosteller reinforcement learning algorithm to investigate the role of social expectations in the emergence of altruistic behavior. The model is compared with experimental results, and the findings suggest that a stimuli model based on empirical and normative expectations has potential in understanding decision-making processes in contexts where cooperative behavior is relevant.
SCIENTIFIC REPORTS
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.