Advances in Applied Energy最新文献

{"title":"A dynamic reliability assessment framework for integrated energy systems: A new methodology to address cascading failures","authors":"Lidian Niu ,&nbsp;Zeyan Zhao ,&nbsp;Jiawei Tan ,&nbsp;Tao Liang ,&nbsp;Fuzheng Zhang ,&nbsp;Ning Xiao ,&nbsp;Yi He ,&nbsp;Shan Xie ,&nbsp;Rui Jing ,&nbsp;Jian Lin ,&nbsp;Feng Wang ,&nbsp;Yingru Zhao","doi":"10.1016/j.adapen.2024.100203","DOIUrl":"10.1016/j.adapen.2024.100203","url":null,"abstract":"<div><div>As the energy internet and integrated energy systems develop, the interconnections among different systems increase operational risks, highlighting the need for urgent reliability research. Recent large-scale blackouts, often caused by cascading failures, reveal that current reliability assessments frequently overlook dynamic equipment conditions and the risk of such failures. Traditional model-driven methods for single energy systems are becoming inadequate due to rapid operational changes. To address these challenges, this study proposes a reliability assessment method for integrated energy systems that considers equipment operational states and cascading failures. It introduces an equipment reliability model for simulating cascading failures due to equipment overloads after initial failures. A hybrid data-model driven approach is proposed to improve the efficiency of load reduction calculations. Then the reliability evaluation is realized by combining the analysis of system energy flow state and index calculation. The modified model simulates more failure events than conventional model and the reliability level reflected by the calculated index is lower than that of the conventional model assessment by 25.39 % to 179.13 %. Evaluation time is reduced by 98.10 % while maintaining an average relative error within 6 %. The subsystem reliability level increases by 69.72 % and decreases by 2.25 % depending on the coupling degree. Failures of less than 20 % of all fault types contributed 43.34 % to 69.59 % of the load reduction. In summary, this model effectively simulates cascading failures from changes in operating states and provides a rapid, accurate reflection of system reliability.Based on this method, the reliability influencing factors can be analyzed and the weak link can be identified.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100203"},"PeriodicalIF":13.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of heat pumps and future energy prices on regional inequalities","authors":"Jieyang Xu ,&nbsp;Sebastian Mosbach ,&nbsp;Jethro Akroyd ,&nbsp;Markus Kraft","doi":"10.1016/j.adapen.2024.100201","DOIUrl":"10.1016/j.adapen.2024.100201","url":null,"abstract":"<div><div>The adoption of heat pumps to displace the use of gas for domestic heating is a major component of the strategy to reduce emissions in the UK. This study examines the impact of adopting heat pumps on regional inequalities in the UK. An index is used to assess how variations in household fuel costs could affect regional disparities across different future price scenarios. The findings reveal that, at 2019 prices, most households would face higher heating costs with heat pumps. However, following the 2022 energy price shock, heat pump adoption would lead to lower heating costs for most households compared to gas heating. The effect is sensitive to the electricity-to-gas price ratio, with regions experiencing high fuel poverty being most vulnerable to negative impacts. By mapping these geospatial effects, the study enables the forecasting of future inequality trends, providing insights for informed policy development. The results suggest that, under appropriate price structures, heat pump adoption could contribute to both decarbonisation and reduced social inequality. An example mechanism for financial support to mitigate the impact of adopting heat pumps on inequality is demonstrated. This study highlights the novel capability of The World Avatar (TWA) approach to integrate cross-domain data sets, combining energy policy with social equity goals. By forecasting future inequality trends based on energy price scenarios, the study provides a route to valuable insights to support informed policy development, highlighting how the adoption of heat pumps can influence regional inequalities and emphasising the need for targeted interventions to support vulnerable regions.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100201"},"PeriodicalIF":13.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of hydrogen on decarbonisation and resilience in integrated energy systems","authors":"Hossein Ameli ,&nbsp;Danny Pudjianto ,&nbsp;Goran Strbac ,&nbsp;Nigel P. Brandon","doi":"10.1016/j.adapen.2024.100200","DOIUrl":"10.1016/j.adapen.2024.100200","url":null,"abstract":"<div><div>The lack of clarity and uncertainty about hydrogen's role, demand, applications, and economics has been a barrier to the development of the hydrogen economy. In this paper, an optimisation model for the integrated planning and operation of hydrogen and electricity systems is presented to identify the role of hydrogen technologies and linepack in decarbonising energy systems, improving system flexibility, and enhancing energy system security and resilience against extreme weather events. The studies are conducted on Great Britain's (GB) 2050 net-zero electricity and gas transmission systems to analyse the hydrogen transport and capacity requirements within the existing infrastructure under different scenarios. This includes sensitivities on the level of flexibility, high gas prices, hydrogen production mixes, enabled reversibility of electrolysers, electricity generation cost, and hydrogen storage facilities. In all sensitivity scenarios, efficient hydrogen transport within the existing infrastructure is enabled by the optimal allocation of green and blue hydrogen sources, distributed storage facilities, and the intra-day flexibility provided by linepack. The findings highlight that increased renewable deployment transfers intermittency to the hydrogen network, requiring greater linepack flexibility compared to the current paradigm (up to 83%). Furthermore, the necessity of synergy between different gas and electricity systems components in providing flexibility, security, and resilience is quantified.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100200"},"PeriodicalIF":13.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating material recycling and remanufacturing in energy system optimization modeling: A review and showcase","authors":"Sebastian Zwickl-Bernhard","doi":"10.1016/j.adapen.2024.100198","DOIUrl":"10.1016/j.adapen.2024.100198","url":null,"abstract":"<div><div>This paper addresses the currently overlooked yet urgent topic of material recycling and remanufacturing in energy system optimization modeling, making three substantial contributions. First, it presents a comprehensive review of relevant studies on material demand, flows, and recycling from a techno-economic perspective and highlights the critical gap in existing energy system optimization models, in which material recycling and remanufacturing is not yet adequately integrated. Second, the paper introduces a general mathematical framework for incorporating material recycling and remanufacturing as a technology and investment option into typical energy system optimization models. Third, the paper demonstrates the practical application of this framework by examining the material recycling potential within the solar module expansion plan of the European Union. It explores the main drivers under which material recycling becomes economically competitive, considering various global and regional solar market conditions. Specifically, it investigates how different energy policies — such as incentivizing European Union manufacturing, limiting import shares, and implementing a circular economy constraint — affect the optimal remanufacturing capacities and achievable shares of recycling-based additions to meet the expansion targets until 2050.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100198"},"PeriodicalIF":13.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scalable spectrally selective solar cell for highly efficient photovoltaic thermal conversion","authors":"Ken Chen ,&nbsp;Kongfu Hu ,&nbsp;Hu Li ,&nbsp;Siyan Chan ,&nbsp;Junjie Chen ,&nbsp;Yu Pei ,&nbsp;Bin Zhao ,&nbsp;Gang Pei","doi":"10.1016/j.adapen.2024.100199","DOIUrl":"10.1016/j.adapen.2024.100199","url":null,"abstract":"<div><div>Photovoltaic/thermal (PV/T) hybrid technology offers significant potential for carbon neutrality by simultaneously converting photons into electricity and heat simultaneously. However, the mismatch between PV/T output temperature and the temperature demand across a wide range of scenarios limits its practical uses. Traditional PV cells have high infrared emissivity, resulting in significant heat losses and seriously significantly hindering the development of PV/T systems. Spectrally selective solar cells characterized by high solar absorption, low thermal emission, and photoelectric conversion process, have yet to be realized thus far. In this study, we propose an integrated design and develop a scalable industrial approach for fabricating meter-scale spectrally selective solar cell with a high solar absorptivity of 92.3 % and a low infrared emissivity of 20.3 %, achieving the highest absorption-emission ratio of measured 4.6 experimentally. The primary novelty of the design lies in integrating the PV cell electrode atop and low-emissivity layer into one eliminating the need for rare metals and reducing complexity. Furthermore, we demonstrate that the spectrally selective PV/T significantly increases the overall solar efficiency from 13.7 % to 82.5 % and reduces the heat loss coefficient to 3.55 W/(m^2.K). The validated model accurately captures the high photovoltaic thermal efficiency, enabling new technological advancements.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100199"},"PeriodicalIF":13.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digitalization of urban multi-energy systems – Advances in digital twin applications across life-cycle phases","authors":"B. Koirala ,&nbsp;H. Cai ,&nbsp;F. Khayatian ,&nbsp;E. Munoz ,&nbsp;J.G. An ,&nbsp;R. Mutschler ,&nbsp;M. Sulzer ,&nbsp;C. De Wolf ,&nbsp;K. Orehounig","doi":"10.1016/j.adapen.2024.100196","DOIUrl":"10.1016/j.adapen.2024.100196","url":null,"abstract":"<div><div>Urban multi-energy systems (UMES) incorporating distributed energy resources are vital to future low-carbon energy systems. These systems demand complex solutions, including increased integration of renewables, improved efficiency through electrification, and exploitation of synergies via sector coupling across multiple sectors and infrastructures. Digitalization and the Internet of Things bring new opportunities for the design-build-operate workflow of the cyber-physical urban multi-energy systems. In this context, digital twins are expected to play a crucial role in managing the intricate integration of assets, systems, and actors within urban multi-energy systems. This review explores digital twin opportunities for urban multi-energy systems by first considering the challenges of urban multi energy systems. It then reviews recent advancements in digital twin architectures, energy system data categories, semantic ontologies, and data management solutions, addressing the growing data demands and modelling complexities. Digital twins provide an objective and comprehensive information base covering the entire design, operation, decommissioning, and reuse lifecycle phases, enhancing collaborative decision-making among stakeholders. This review also highlights that future research should focus on scaling digital twins to manage the complexities of urban environments. A key challenge remains in identifying standardized ontologies for seamless data exchange and interoperability between energy systems and sectors. As the technology matures, future research is required to explore the socio-economic and regulatory implications of digital twins, ensuring that the transition to smart energy systems is both technologically sound and socially equitable. The paper concludes by making a series of recommendations on how digital twins could be implemented for urban multi energy systems.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100196"},"PeriodicalIF":13.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-scale electricity consumption prediction model based on land use and interpretable machine learning: A case study of China","authors":"Haizhi Luo ,&nbsp;Yiwen Zhang ,&nbsp;Xinyu Gao ,&nbsp;Zhengguang Liu ,&nbsp;Xiangzhao Meng ,&nbsp;Xiaohu Yang","doi":"10.1016/j.adapen.2024.100197","DOIUrl":"10.1016/j.adapen.2024.100197","url":null,"abstract":"<div><div>The prediction of electricity consumption plays a vital role in promoting sustainable development, ensuring energy security and resilience, facilitating regional planning, and integrating renewable energy sources. A novel electricity consumption characterization and prediction model based on land use was proposed. This model achieves land-use subdivision to provide highly correlated variables; exhibits strong interpretability, thereby revealing even marginal effects of land use on electricity consumption; and demonstrates high performance, thereby enabling large-scale simulations and predictions. Using 297 cities and 2,505 counties as case studies, the key findings are as follows: (1) The model demonstrates strong generalization ability (R² = 0.91), high precision (Kappa = 0.77), and robustness, with an overall prediction accuracy exceeding 80 %; (2) The marginal impact of industrial land on electricity consumption is more complex, with more efficiency achieved by limiting its area to either 104.3 km² or between 288.2 and 657.3 km²; (3) The marginal impact of commercial and residential land on electricity consumption exhibits a strong linear relationship (R² &gt; 0.80). Restricting the scale to 11.3 km² could effectively mitigate this impact. Mixed commercial and residential land is advantageous for overall electricity consumption control, but after exceeding 43.5 km², separate layout considerations for urban residential land are necessary; (4) In 2030, Shanghai's electricity consumption is projected to reach 155,143 million kW·h, making it the highest among the 297 cities. Meanwhile, Suzhou Industrial Park leads among the 2,505 districts with a consumption of 30,996 million kW·h; (5) Identify future electricity consumption hotspots and clustering characteristics, evaluate the renewable energy potential in these hotspot areas, and propose targeted strategies accordingly.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100197"},"PeriodicalIF":13.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydrogen production via solid oxide electrolysis: Balancing environmental issues and material criticality","authors":"Elke Schropp,&nbsp;Gabriel Naumann,&nbsp;Matthias Gaderer","doi":"10.1016/j.adapen.2024.100194","DOIUrl":"10.1016/j.adapen.2024.100194","url":null,"abstract":"<div><div>Hydrogen is considered an essential component in mitigating climate change. Water electrolysis technologies present the potential for generating environmentally friendly hydrogen. The solid oxide water electrolysis attracts attention due to its high-temperature operation, leading to an unsurpassed efficiency. Nevertheless, high-temperature operation requires special materials, raising material criticality concerns. This study aims to determine the optimum current density for future solid oxide water electrolysis operation. To this end, the energetic performance of solid oxide electrolysis is assessed under different current densities with a numerical simulation. Consequently, prospective life cycle assessments and product-level material criticality assessments are performed. These dimensions are combined in a multi-criteria optimization. The environmental impacts strongly depend on electricity and heat generation, whereas manufacturing and the feed water supply play a minor role. Heat integration, a unique feature of solid oxide water electrolysis, is beneficial if heat carries less environmental impact than electricity. Then, the solid oxide electrolysis should be operated at relatively low current densities. In contrast, the material criticality decreases with increasing current densities. The multi-criteria optimization reveals that if minimizing environmental impacts and material criticality is equally vital, solid oxide water electrolysis should be operated at 0.955 A/cm², whereas a focus on environmental impacts leads to lower current densities. In conclusion, the energy supply situation affects the operational current density from an environmental perspective. In contrast, the material criticality favors high current densities for solid oxide water electrolysis. When combining both, medium current densities lead to minimum environmental and material criticality issues.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100194"},"PeriodicalIF":13.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green light for bidirectional charging? Unveiling grid repercussions and life cycle impacts","authors":"Daniela Wohlschlager ,&nbsp;Janis Reinhard ,&nbsp;Iris Stierlen ,&nbsp;Anika Neitz-Regett ,&nbsp;Magnus Fröhling","doi":"10.1016/j.adapen.2024.100195","DOIUrl":"10.1016/j.adapen.2024.100195","url":null,"abstract":"<div><div>Bidirectional charging, such as Vehicle-to-Grid, is increasingly seen as a way to integrate the growing number of battery electric vehicles into the energy system. The electrical storage capacity in the system can be enhanced by using electric vehicles as flexible storage units. However, large-scale applications of Vehicle-to-Grid may require significant expansion of distribution grids. Previous studies lack a comprehensive environmental assessment of related impacts. Contributing to this research gap, this article combines techno-economic grid simulations with scenario-based Life Cycle Assessments. The case study focuses on rural distribution grids in Southern Germany, projecting the repercussions of different charging scenarios by 2040. Besides a Vehicle-to-Grid scenario, a mixed scenario of Vehicle-to-Home, Vehicle-to-Grid, and direct charging is investigated. Results indicate that Vehicle-to-Grid charging increases grid impacts due to higher charging simultaneities and power losses, especially when following spot market prices. Despite these challenges, the secondary use of battery electric vehicles as storage units can offset adverse environmental effects. Bidirectional charging allows for higher use of volatile renewable energies and can accelerate their integration into the power system. When considering these diverse environmental effects, bidirectional charging scenarios show overall lower impacts on climate change per battery electric vehicle compared to direct charging. The insights provided are valuable for researchers, industry, utilities, and policymakers to understand the potential positive and negative impacts of large-scale battery electric vehicle integration. The article highlights the most influential parameters that should be considered before large-scale penetration.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100195"},"PeriodicalIF":13.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MANGOever: An optimization framework for the long-term planning and operations of integrated electric vehicle and building energy systems","authors":"Alicia Lerbinger ,&nbsp;Siobhan Powell ,&nbsp;Georgios Mavromatidis","doi":"10.1016/j.adapen.2024.100193","DOIUrl":"10.1016/j.adapen.2024.100193","url":null,"abstract":"<div><div>The growing electrification of heating and mobility has increased the interdependence of these two sectors and introduced a new coupling with the electricity sector. However, existing studies on local energy planning often focus solely on solutions to meet buildings’ energy demands, neglecting or highly simplifying new mobility demands. Here, we address this gap by introducing MANGOever (Multi-stAge eNerGy Optimization for <strong>e</strong>lectric <strong>v</strong>ehicles and <strong>e</strong>nergy <strong>r</strong>etrofits), a comprehensive optimization framework for long-term co-planning of building energy systems and electric vehicle (EV) charging infrastructure. The framework optimizes multi-stage investments and operational strategies to minimize system costs and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions over a multi-year horizon, considering the stochastic nature of EV charging based on observed driver habits and travel patterns. Applying the model to a case study of a multi-family home in Switzerland reveals significant synergies between EV charging and the management of solar photovoltaic generation. The results underscore the importance of considering habit-based EV charging behavior in the model and demonstrate how diverse EV plug-in behaviors can be leveraged to maximize the use of midday solar production and reduce emissions. These findings emphasize the need for integrated planning of these sectors to achieve a cost-effective, low-carbon energy transition.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"16 ","pages":"Article 100193"},"PeriodicalIF":13.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}