Jair K.E.K. Campfens , Mert Duygan , Claudia R. Binder
{"title":"A review of participatory modelling techniques for energy transition scenarios","authors":"Jair K.E.K. Campfens , Mert Duygan , Claudia R. Binder","doi":"10.1016/j.adapen.2025.100215","DOIUrl":"10.1016/j.adapen.2025.100215","url":null,"abstract":"<div><div>Energy transitions are pivotal for sustainability, yet their complexity and uncertainty pose significant challenges for effective planning and implementation. Participatory modelling has emerged as a promising approach to support these transitions, as it involves incorporating stakeholders' perspectives into models and policy designs, which helps integrate their mental models and preferences into simulations. This paper reviews the current state of participatory modelling in transition research for energy scenarios. Drawing on a comprehensive literature review and semi-structured interviews, we extract findings by evaluating participatory modelling techniques against criteria such as normative dimensions, non-linearity, actors and agency, uncertainty and emergence. Findings reveal that techniques like Cross-Impact Balance analysis and Fuzzy Cognitive Mapping excel in incorporating normative aspects and capturing diverse actor perspectives, yet they face challenges in addressing non-linearity and uncertainty. Bayesian Networks and Agent-Based Models are strong in managing uncertainty and modelling emergent behaviours but show limitations in normative aspects. Our findings provide a foundation for scholars and practitioners in the field of socio-technical energy transitions to select participatory modelling techniques best suited to their specific research contexts. This review also highlights gaps between theoretical potential and practical application of participatory modelling techniques. Bridging these gaps requires methodological advancement and a more rigorous application in empirical studies. To this end, future directions for blending techniques are discussed to better address the complexities of energy transitions.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100215"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171809","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":"Adaptive reinforcement learning for energy management – A progressive approach to boost climate resilience and energy flexibility","authors":"Vahid M. Nik , Kavan Javanroodi","doi":"10.1016/j.adapen.2025.100213","DOIUrl":"10.1016/j.adapen.2025.100213","url":null,"abstract":"<div><div>Energy management in urban areas is challenging due to diverse energy users, dynamics environmental conditions, and the added complexity and instability of extreme weather events. We incorporate adaptive reinforcement learning (ARL) into energy management (EM) and introduce a novel approach, called ARLEM. An online, value-based, model-free ARL engine is designed that updates its policy periodically and partially by replacing less favorable actions with those better adapted to evolving environmental conditions. Multiple policy update mechanisms are assessed, varying based on the frequency and length of updates and the action selection criteria. ARLEM is tested to control the energy performance of typical urban blocks in Madrid and Stockholm considering 17 future climate scenarios for 2040–2069. Each block contains 24 buildings of different types and ages. In Madrid, ARLEM is tested for a summer with two heatwaves and in Stockholm for a winter with two cold waves. Three performance indicators are defined to evaluate the effectiveness and resilience of different control approaches during extreme weather events. ARLEM demonstrates an ability to increase climate resilience in the studied blocks by increasing energy flexibility in the network and reducing both average and peak energy demands while affecting indoor thermal comfort marginally. Since the approach does not require any information about the system dynamics, it is easy to cope with the complexities of building systems and technologies, making it an affordable technology to control large urban areas with diverse types of buildings.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100213"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171818","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":"Decarbonizing energy: Plastic waste trade for zero waste 2040","authors":"Xiang Zhao , Fengqi You","doi":"10.1016/j.adapen.2025.100216","DOIUrl":"10.1016/j.adapen.2025.100216","url":null,"abstract":"<div><div>Plastics are essential to human activities but also drive climate burdens and global pollution from energy-intensive material production and waste treatment. This study proposes and evaluates sustainable technology roadmaps under energy transitions to non-fossils to decarbonize the plastic life cycle and mitigate pollution across 202 global countries from 2024 to 2060. The results show that substituting plastic use, combined with advanced chemical recycling and carbon capture utilization powered by renewables, minimizes waste generation and pollution. In North America and Europe, replacing 56.7 % of plastics with glass, metal, and biodegradable alternatives coupled with chemical recycling can achieve zero annual waste by 2040 or 2035 with biomass-powered carbon capture and utilization. In African and Southeast Asian countries, this net-zero waste goal will be delayed to 2055 due to excessive plastic waste from global trade imports. Strategies including a 50 % cross-border tariff increment on plastic waste export and promoting alternative material use can reduce 87.45 % of global waste trade volume and surpluses to developed countries. This study advances the existing local and global plastic pollution mitigation strategies integrating energy decarbonization and transition to strengthen the United Nations Global Plastic Treaty towards minimum plastic pollution.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100216"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620945","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}
Friedrich Mendler , Christopher Voglstätter , Nikolas Müller , Tom Smolinka , Marius Holst , Christopher Hebling , Barbara Koch
{"title":"A newly developed spatially resolved modelling framework for hydrogen valleys: Methodology and functionality","authors":"Friedrich Mendler , Christopher Voglstätter , Nikolas Müller , Tom Smolinka , Marius Holst , Christopher Hebling , Barbara Koch","doi":"10.1016/j.adapen.2025.100207","DOIUrl":"10.1016/j.adapen.2025.100207","url":null,"abstract":"<div><div>Regional initiatives, like the European hydrogen valleys, aim to solve the simultaneous absence of green hydrogen production, infrastructure, and application with coordinated development of the whole supply chain. A new model framework was developed to bridge the gap between linearised energy system models and detailed plant simulations that allows for dynamic, nonlinear simulation and optimisation of regional hydrogen systems from electricity generation to hydrogen application. The model incorporates different supply algorithms for electricity and hydrogen, representing both bilateral contracts and flexible markets. A case study demonstrates the application of the framework within a representative hydrogen valley in Germany, showing how the model can identify optimal configurations of hydrogen production, storage, and distribution infrastructure to minimise the levelized cost of hydrogen. The influence of different spatial resolutions, exchange control algorithms, and boundary conditions chain are evaluated. A too coarse spatial resolution can underestimate system cost by up to 10 % while the allowance of both bilateral hydrogen contracts and a flexible market algorithm can increase hydrogen utilisation and reduce cost by up to 15 %. An autarkic supply of hydrogen demands was possible for 7.60 €/kg, while the option to use grid electricity reduces costs to 6.37 €/kg and the option to import hydrogen to 6.60 €/kg, based on the assumptions for electricity and hydrogen prices. This work contributes to the evolving field of hydrogen economy by providing a sophisticated tool for policymakers and industry stakeholders worldwide to plan and optimise regional hydrogen valleys effectively.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100207"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104643","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}
Hossein Ameli , Danny Pudjianto , Goran Strbac , Nigel P. Brandon
{"title":"The impact of hydrogen on decarbonisation and resilience in integrated energy systems","authors":"Hossein Ameli , Danny Pudjianto , Goran Strbac , 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":"2025-03-01","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}
Qinghu Tang , Hongye Guo , Daniel S. Kirschen , Chongqing Kang
{"title":"Understanding bidding strategies of intermittent renewables in negative price environments: A theoretical and empirical analysis","authors":"Qinghu Tang , Hongye Guo , Daniel S. Kirschen , Chongqing Kang","doi":"10.1016/j.adapen.2025.100209","DOIUrl":"10.1016/j.adapen.2025.100209","url":null,"abstract":"<div><div>Negative electricity prices have become increasingly prevalent with the growing penetration of intermittent renewable energy sources worldwide. Although it is widely thought that the negative prices are primarily driven by intermittent renewable energies, the bidding decision theory behind this phenomenon remains underexplored. This paper seeks to illuminate the bidding theory of intermittent renewables under negative electricity prices through not only a theoretical model but also an empirical analysis of its real-world counterpart. First, we propose a comprehensive intermittent renewable bidding decision model considering both forward contract and spot market, as well as income from both the energy market and green energy incentive, which significantly influence bidding behavior under negative price conditions. Next, we develop a data-driven approach to estimate the model’s embedded parameters using publicly available market data, enabling direct comparison with real-world counterparts. Finally, on the basis of the proposed model, we analyze the actual bid records in comparison to the optimal bidding decisions from three perspectives: strategy, behavior, and profit. Empirical results show that the proposed model can explain 80% of the bidding strategies employed by intermittent renewable power plants in a real-world market, including suboptimal strategies. Furthermore, some empirical evidence can help understand the intrinsic relationship between bidding rationality and negative price severity.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100209"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171822","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}
Hongbin Xie , Ge Song , Zhuoran Shi , Jingyuan Zhang , Zhenjia Lin , Qing Yu , Hongdi Fu , Xuan Song , Haoran Zhang
{"title":"Reinforcement learning for vehicle-to-grid: A review","authors":"Hongbin Xie , Ge Song , Zhuoran Shi , Jingyuan Zhang , Zhenjia Lin , Qing Yu , Hongdi Fu , Xuan Song , Haoran Zhang","doi":"10.1016/j.adapen.2025.100214","DOIUrl":"10.1016/j.adapen.2025.100214","url":null,"abstract":"<div><div>The rapid development of Vehicle-to-Grid technology has played a crucial role in peak shaving and power scheduling within the power grid. However, with the random integration of a large number of electric vehicles into the grid, the uncertainty and complexity of the system have significantly increased, posing substantial challenges to traditional algorithms. Reinforcement learning has shown great potential in addressing these high-dimensional dynamic scheduling optimization problems. However, there is currently a lack of comprehensive analysis and systematic understanding of reinforcement learning applications in Vehicle-to-Grid, which limits the further development of this technology in the Vehicle-to-Grid domain. To this end, this review systematically analyzes the application of reinforcement learning in Vehicle-to-Grid from the perspective of different stakeholders, including the power grid, aggregators, and electric vehicle users, and clarifies the effectiveness and mechanisms of reinforcement learning in addressing the uncertainty in power scheduling. Based on a comprehensive review of the development trajectory of reinforcement learning in Vehicle-to-Grid applications, this paper proposes a structured framework for method classification and application analysis. It also highlights the major challenges currently faced by reinforcement learning in the Vehicle-to-Grid domain and provides targeted directions for future research. Through this systematic review of reinforcement learning applications in Vehicle-to-Grid, the paper aims to provide relevant references for subsequent studies.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100214"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430179","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}
Shuo Zhai , Junyu Cai , Idris Temitope Bello , Xi Chen , Na Yu , Rubao Zhao , Xingke Cai , Yunhong Jiang , Meng Ni , Heping Xie
{"title":"Boosting direct-ethane solid oxide fuel cell efficiency with anchored palladium nanoparticles on perovskite-based anode","authors":"Shuo Zhai , Junyu Cai , Idris Temitope Bello , Xi Chen , Na Yu , Rubao Zhao , Xingke Cai , Yunhong Jiang , Meng Ni , Heping Xie","doi":"10.1016/j.adapen.2025.100206","DOIUrl":"10.1016/j.adapen.2025.100206","url":null,"abstract":"<div><div>An efficient anode catalyst for hydrocarbon fuel in Solid Oxide Fuel Cells (SOFC) should possess a stable phase structure, high catalytic efficiency, and excellent coke resistance. However, traditional nickel-based anodes necessitate high steam-to-carbon ratios to prevent coking, complicating system design and reducing the overall performance. In this work, we report a nickel-free PrBaFe<sub>1.9</sub>Pd<sub>0.1</sub>O<sub>5+δ</sub> perovskite as anode material for direct ethane SOFC, which demonstrates superior electroactivity and chemical stability. Under a reducing atmosphere, Pd nano-catalysts exsolved in-situ are uniformly anchored to the perovskite surface. Density functional theory analyses reveal that the Pd exsolution significantly improve ethane adsorption capacity, thereby reducing activation resistance and boosting catalytic performance. When used as an anode for an SDC electrolyte-supported SOFC, superior performance is achieved with the peak power densities (PPDs) of 702 and 377 mW cm<sup>-2</sup> at 800 °C when using hydrogen and almost dry ethane (3% H<sub>2</sub>O) as fuel, respectively. Moreover, the cell exhibits a stable continuous operation over 90 h under almost dry ethane atmosphere at 178 mA cm<sup>−2</sup>, presenting a promising pathway for developing high-performance, nickel-free SOFC anodes that simplify system design and improves efficiency when operating with hydrocarbon fuels, thus holding significant potential for practical SOFC applications.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100206"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171807","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}
Jieyang Xu , Sebastian Mosbach , Jethro Akroyd , Markus Kraft
{"title":"Impact of heat pumps and future energy prices on regional inequalities","authors":"Jieyang Xu , Sebastian Mosbach , Jethro Akroyd , 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":"2025-03-01","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}
Julian Walter , Lina Fischer , Sandra Venghaus , Albert Moser
{"title":"Integrating water availability for electrolysis into energy system modeling","authors":"Julian Walter , Lina Fischer , Sandra Venghaus , Albert Moser","doi":"10.1016/j.adapen.2025.100208","DOIUrl":"10.1016/j.adapen.2025.100208","url":null,"abstract":"<div><div>In recent years, temperature records have been broken all over the world and the global temperature keeps rising. As a result, fresh water availability will diminish ever more and more due to droughts and extreme weather events. Water is a key part of many central aspects of life but will also become important in the future for electrolysis to synthesize hydrogen, a promising energy carrier in energy systems for the transition from fossil to renewable energy. Current energy system optimization models neglect water as an input for electrolysis when focusing on electricity. In this study, we present a method for implementing water as an input in energy system optimization models, with constraints for freshwater availability and seawater processing. We apply our method to one scenario and investigate the impact on the European energy system with highly-detailed spatial and temporal resolutions. The results indicate a relocation of electrolysis capacities of 10% and an increase of methane imports and methanation capacities. The effects suggest that water should be considered in energy system optimization in the future.</div></div>","PeriodicalId":34615,"journal":{"name":"Advances in Applied Energy","volume":"17 ","pages":"Article 100208"},"PeriodicalIF":13.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172209","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}