Pub Date : 2024-12-05DOI: 10.1016/j.rser.2024.115148
Benjamin Miranda Tabak , Igor Bettanin Dalla Riva e Silva , Derick David Quintino , Thiago Christiano Silva
This work analyzes the volatility connectedness of the prices of ethanol and gasoline sold to consumers in fifteen Brazilian capitals. Our data cover the period from 2012 to 2022 and contains several different moments in the dynamics of domestic prices, such as changes in tax policy prices, the crises of covid-19, and the war in Ukraine. The results suggest that fuel prices in the capitals are connected. Gasoline prices substantially affect ethanol prices, indicating that fossil fuel is still stronger in price formation than fuel of renewable origin. The shocks are asymmetric. Price increases in one location lead to increases in others relatively quickly. Price reductions do not propagate at the same speed or intensity.
{"title":"Fuel prices connectedness across Brazilian capitals: The case of ethanol and gasoline","authors":"Benjamin Miranda Tabak , Igor Bettanin Dalla Riva e Silva , Derick David Quintino , Thiago Christiano Silva","doi":"10.1016/j.rser.2024.115148","DOIUrl":"10.1016/j.rser.2024.115148","url":null,"abstract":"<div><div>This work analyzes the volatility connectedness of the prices of ethanol and gasoline sold to consumers in fifteen Brazilian capitals. Our data cover the period from 2012 to 2022 and contains several different moments in the dynamics of domestic prices, such as changes in tax policy prices, the crises of covid-19, and the war in Ukraine. The results suggest that fuel prices in the capitals are connected. Gasoline prices substantially affect ethanol prices, indicating that fossil fuel is still stronger in price formation than fuel of renewable origin. The shocks are asymmetric. Price increases in one location lead to increases in others relatively quickly. Price reductions do not propagate at the same speed or intensity.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115148"},"PeriodicalIF":16.3,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-05DOI: 10.1016/j.rser.2024.115041
Poornima Sundarrajan , Jagruti Thakur , Drilon Meha
Sweden plans to decarbonize its energy sector by 2045 through initiatives such as electrification of transport & industry, wind power expansion, HYBRIT and increased use of biomass. Hitherto studies have predominantly focused on electricity sector. Nevertheless, the targets for 2045 necessitates studying the Swedish energy system at national scale in the context of sector coupling & storage. This work examines the role of thermal energy storage (TES) and hydrogen storage (HS) in the future energy system with high proportions of wind power. Three scenarios SWE_2045, NFF_2045 and RES_100 representing three different energy systems were simulated in EnergyPLAN modelling tool, incorporating TES, HS and sector integration. The results indicate that both TES and HS can improve flexibility of the system by enhancing wind integration. Heat pumps (HPs) coupled with TES can increase wind integration by 5–9% and also reduce the operation of thermal boilers and CHP, resulting in total fuel reduction by 2–3%, depending on the scenario. However, HS is not a viable option for storing excess electricity alone, as shown in SWE_2045 since it does not facilitate additional wind integration. It demonstrates better outcome mainly when there is a significant demand for hydrogen in the system, resulting in wind integration of 6–9%. However, HS does not contribute to the reduction in total fuel since it does not have an impact on the fuel input in district heating sector.
{"title":"Harnessing hydrogen and thermal energy storage: Sweden's path to a 100 % renewable energy system by 2045","authors":"Poornima Sundarrajan , Jagruti Thakur , Drilon Meha","doi":"10.1016/j.rser.2024.115041","DOIUrl":"10.1016/j.rser.2024.115041","url":null,"abstract":"<div><div>Sweden plans to decarbonize its energy sector by 2045 through initiatives such as electrification of transport & industry, wind power expansion, HYBRIT and increased use of biomass. Hitherto studies have predominantly focused on electricity sector. Nevertheless, the targets for 2045 necessitates studying the Swedish energy system at national scale in the context of sector coupling & storage. This work examines the role of thermal energy storage (TES) and hydrogen storage (HS) in the future energy system with high proportions of wind power. Three scenarios SWE_2045, NFF_2045 and RES_100 representing three different energy systems were simulated in EnergyPLAN modelling tool, incorporating TES, HS and sector integration. The results indicate that both TES and HS can improve flexibility of the system by enhancing wind integration. Heat pumps (HPs) coupled with TES can increase wind integration by 5–9% and also reduce the operation of thermal boilers and CHP, resulting in total fuel reduction by 2–3%, depending on the scenario. However, HS is not a viable option for storing excess electricity alone, as shown in SWE_2045 since it does not facilitate additional wind integration. It demonstrates better outcome mainly when there is a significant demand for hydrogen in the system, resulting in wind integration of 6–9%. However, HS does not contribute to the reduction in total fuel since it does not have an impact on the fuel input in district heating sector.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115041"},"PeriodicalIF":16.3,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-05DOI: 10.1016/j.rser.2024.114939
Faraedoon Ahmed , Aoife Foley , Sean McLoone , Robert Best , Henrik Lund , Dlzar Al Kez
Northern Ireland, in alignment with the United Kingdom's net zero targets for 2050, is focusing on a transition to a 100 % renewable energy system. Wind energy is the backbone of this future system due to its abundant resource potential, low environmental impact, and cost-effectiveness. However, achieving a fully variable renewable energy system requires flexibility on the demand side to reliably facilitate the displacement of traditional dispatchable power plants with variable renewable resources such as wind and solar. To address this challenge, this study aims to develop optimal pathways for transitioning Northern Ireland's current energy system to 100 % renewable energy. The proposed model outlines eight pathway steps that reflect technical and operational changes needed on both the supply and demand sides. These steps include: 1) building a reference model, 2) implementing a district heating system, 3) deploying electric heat pumps, 4) reducing reliance on dispatchable power plants, 5) integrating electric vehicles, 6) incorporating demand-side management, 7) producing methanol for buses and trucks, and 8) replacing remaining fossil fuels with synthetic gas. Each step is evaluated using EnergyPLAN, which considers both technical and economic viability alongside the increased penetration of wind and solar power. The findings illustrate that Northern Ireland can transition to a 100 % renewable energy system at a cost comparable to its current system, providing a practical and cost-effective pathway to meet its 2050 target. By analysing the impact of each step individually, this study provides valuable insights for policymakers on effectively decarbonising Northern Ireland's entire energy system.
{"title":"Sectoral coupling pathway towards a 100 % renewable energy system for Northern Ireland","authors":"Faraedoon Ahmed , Aoife Foley , Sean McLoone , Robert Best , Henrik Lund , Dlzar Al Kez","doi":"10.1016/j.rser.2024.114939","DOIUrl":"10.1016/j.rser.2024.114939","url":null,"abstract":"<div><div>Northern Ireland, in alignment with the United Kingdom's net zero targets for 2050, is focusing on a transition to a 100 % renewable energy system. Wind energy is the backbone of this future system due to its abundant resource potential, low environmental impact, and cost-effectiveness. However, achieving a fully variable renewable energy system requires flexibility on the demand side to reliably facilitate the displacement of traditional dispatchable power plants with variable renewable resources such as wind and solar. To address this challenge, this study aims to develop optimal pathways for transitioning Northern Ireland's current energy system to 100 % renewable energy. The proposed model outlines eight pathway steps that reflect technical and operational changes needed on both the supply and demand sides. These steps include: 1) building a reference model, 2) implementing a district heating system, 3) deploying electric heat pumps, 4) reducing reliance on dispatchable power plants, 5) integrating electric vehicles, 6) incorporating demand-side management, 7) producing methanol for buses and trucks, and 8) replacing remaining fossil fuels with synthetic gas. Each step is evaluated using EnergyPLAN, which considers both technical and economic viability alongside the increased penetration of wind and solar power. The findings illustrate that Northern Ireland can transition to a 100 % renewable energy system at a cost comparable to its current system, providing a practical and cost-effective pathway to meet its 2050 target. By analysing the impact of each step individually, this study provides valuable insights for policymakers on effectively decarbonising Northern Ireland's entire energy system.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 114939"},"PeriodicalIF":16.3,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115166
Anina James , Mengtong Li , Mahmoud Mazarji , Aohua Li , Yeqing Li , Junting Pan
The twin concurrent challenges of ammonia and volatile fatty acids (VFA) inhibition is commonly encountered in anaerobic digestion (AD). The stability of the community structure and metabolism in the microbial flora is paramount for sustained high production of methane. Till date most of the studies have focused on the modification of the technical parameters of a digester, and very few studies have reported the modulation of the metabolism and/or the bioenergetics of the microbes involved. Stimulation of interspecies electron transfer (IET) and strengthening of the syntrophic association between bacteria and methanogens has the potential to improve methane yield under ammonia and VFA-stressed condition. Electron bifurcation (EB) is an energy conservation strategy adopted by microbes to minimize energy loss during unfavourable and stressed conditions. The current review aims to draw attention of the scientific community on the potential of EB coupled DIET for enhancement of methane production, particularly under high ammonia and VFA inhibition. The review discusses the molecular mechanisms involved in ammonia and VFA inhibition, and mitigation strategies centered around interspecies electron transfer (IET). The energy coupling pathways have been examined in the perspective of inhibitory challenges accorded by high ammonia and VFA accumulation. The article concludes with critical assessment of the mitigation strategies while outlining future research directions to augment the understanding of the metabolic processes involved in EB coupled DIET for AD. This is the first review to highlight the potential of stimulating an EB coupled DIET for ammonia-VFA stressed AD.
{"title":"Coupling electron bifurcation and interspecies electron transfer to mitigate ammonia and acids inhibition","authors":"Anina James , Mengtong Li , Mahmoud Mazarji , Aohua Li , Yeqing Li , Junting Pan","doi":"10.1016/j.rser.2024.115166","DOIUrl":"10.1016/j.rser.2024.115166","url":null,"abstract":"<div><div>The twin concurrent challenges of ammonia and volatile fatty acids (VFA) inhibition is commonly encountered in anaerobic digestion (AD). The stability of the community structure and metabolism in the microbial flora is paramount for sustained high production of methane. Till date most of the studies have focused on the modification of the technical parameters of a digester, and very few studies have reported the modulation of the metabolism and/or the bioenergetics of the microbes involved. Stimulation of interspecies electron transfer (IET) and strengthening of the syntrophic association between bacteria and methanogens has the potential to improve methane yield under ammonia and VFA-stressed condition. Electron bifurcation (EB) is an energy conservation strategy adopted by microbes to minimize energy loss during unfavourable and stressed conditions. The current review aims to draw attention of the scientific community on the potential of EB coupled DIET for enhancement of methane production, particularly under high ammonia and VFA inhibition. The review discusses the molecular mechanisms involved in ammonia and VFA inhibition, and mitigation strategies centered around interspecies electron transfer (IET). The energy coupling pathways have been examined in the perspective of inhibitory challenges accorded by high ammonia and VFA accumulation. The article concludes with critical assessment of the mitigation strategies while outlining future research directions to augment the understanding of the metabolic processes involved in EB coupled DIET for AD. This is the first review to highlight the potential of stimulating an EB coupled DIET for ammonia-VFA stressed AD.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115166"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115158
Mingbo Li , Jingrui Sun , Damiano Baldan , Julian D. Olden , Qi Liu , Chengzhi Ding , Juan Tao
Rapid expansion of human barriers threatens many of the remaining free-flowing rivers of the world. The Mekong Basin is an exemplar in this regard with previous studies indicating high levels of river fragmentation caused by barriers, despite such estimates being limited dues to incomplete data. The present study offers the first comprehensive evaluation of river fragmentation in the Mekong Basin by leveraging a comprehensive basin-scale barrier database containing 13,054 unique barriers, and by employing five dendritic connectivity index-derived indices, one barrier density-derived index, and two newly-developed basin-scale connectivity assessment methods. The results revealed striking fragmentation across the Mekong Basin, with the Thailand and Vietnam regions exhibited the most pronounced levels, characterized by lowest dendritic connectivity values, due to high numbers of irrigation facilities. Only a limited number of sub-basins in the Upper Mekong (3.4 % of all sub-basins) and Lower Mekong (10.7 %) regions remain free-flowing. Environmental correlation analysis of river barrier construction suggested densely populated low-elevation rural areas that are more likely to suffer from diminished river connectivity. This assessment enhances our current understanding of river fragmentation in the Mekong Basin and help in the formulation of strategies for future connectivity restoration efforts across the entire basin.
{"title":"Human barriers fragment three-quarters of all rivers in the Mekong basin","authors":"Mingbo Li , Jingrui Sun , Damiano Baldan , Julian D. Olden , Qi Liu , Chengzhi Ding , Juan Tao","doi":"10.1016/j.rser.2024.115158","DOIUrl":"10.1016/j.rser.2024.115158","url":null,"abstract":"<div><div>Rapid expansion of human barriers threatens many of the remaining free-flowing rivers of the world. The Mekong Basin is an exemplar in this regard with previous studies indicating high levels of river fragmentation caused by barriers, despite such estimates being limited dues to incomplete data. The present study offers the first comprehensive evaluation of river fragmentation in the Mekong Basin by leveraging a comprehensive basin-scale barrier database containing 13,054 unique barriers, and by employing five dendritic connectivity index-derived indices, one barrier density-derived index, and two newly-developed basin-scale connectivity assessment methods. The results revealed striking fragmentation across the Mekong Basin, with the Thailand and Vietnam regions exhibited the most pronounced levels, characterized by lowest dendritic connectivity values, due to high numbers of irrigation facilities. Only a limited number of sub-basins in the Upper Mekong (3.4 % of all sub-basins) and Lower Mekong (10.7 %) regions remain free-flowing. Environmental correlation analysis of river barrier construction suggested densely populated low-elevation rural areas that are more likely to suffer from diminished river connectivity. This assessment enhances our current understanding of river fragmentation in the Mekong Basin and help in the formulation of strategies for future connectivity restoration efforts across the entire basin.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115158"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115151
Juan Moreno , Martha Cobo , Felipe Buendia , Nestor Sánchez
Steam gasification offers a pathway to generate synthesis gas (syngas) rich in hydrogen (H2), a crucial element in efforts to decarbonize and mitigate greenhouse gas emissions. However, the intricate web of reactions involved in the process demands predictive tools to enable its large-scale application. While models based on stoichiometry, chemical equilibrium, and data algorithms have made strides, previous works lack comprehensive comparative studies on their efficacy and adaptability. This study addresses this gap by developing and juxtaposing four models: stoichiometric, equilibrium-based, data-driven, and a hybrid approach to forecast steam gasification products against experimental data gleaned from a systematic literature review. Among these models, the hybrid variant emerges as the most accurate in predicting syngas composition, boasting an average root mean square error (RMSE) of 5.63 and an average R2 of 0.59. Moreover, it yields predictions for tar, char, and gas with respective RMSEs of 42.79 g/Nm3 syngas, 72.99 g/kg biomass, and 0.33 Nm3 syngas/kg biomass. Notably, the robust validation process of this model enhances its versatility while maintaining commendable prediction accuracy compared to the existing literature. Future enhancements could entail integrating advanced kinetic and equilibrium expressions and incorporating fresh experimental data into the training phases of data-driven models.
{"title":"Enhancing predictive models for steam gasification: A comparative study of stoichiometric, equilibrium, data-driven, and hybrid approaches","authors":"Juan Moreno , Martha Cobo , Felipe Buendia , Nestor Sánchez","doi":"10.1016/j.rser.2024.115151","DOIUrl":"10.1016/j.rser.2024.115151","url":null,"abstract":"<div><div>Steam gasification offers a pathway to generate synthesis gas (syngas) rich in hydrogen (H<sub>2</sub>), a crucial element in efforts to decarbonize and mitigate greenhouse gas emissions. However, the intricate web of reactions involved in the process demands predictive tools to enable its large-scale application. While models based on stoichiometry, chemical equilibrium, and data algorithms have made strides, previous works lack comprehensive comparative studies on their efficacy and adaptability. This study addresses this gap by developing and juxtaposing four models: stoichiometric, equilibrium-based, data-driven, and a hybrid approach to forecast steam gasification products against experimental data gleaned from a systematic literature review. Among these models, the hybrid variant emerges as the most accurate in predicting syngas composition, boasting an average root mean square error (RMSE) of 5.63 and an average R<sup>2</sup> of 0.59. Moreover, it yields predictions for tar, char, and gas with respective RMSEs of 42.79 g/Nm<sup>3</sup> syngas, 72.99 g/kg biomass, and 0.33 Nm<sup>3</sup> syngas/kg biomass. Notably, the robust validation process of this model enhances its versatility while maintaining commendable prediction accuracy compared to the existing literature. Future enhancements could entail integrating advanced kinetic and equilibrium expressions and incorporating fresh experimental data into the training phases of data-driven models.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115151"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115159
Shuni Wei, Peng Yuan, Renjie Yu
As the costs of renewable energy generation decline, the focus of renewable energy policies has shifted from feed-in tariff to renewable portfolio standard (RPS). While existing literature has examined the effects of RPS on the installed capacity, capacity additions, and power generation of renewable energy, it has largely overlooked the impact on renewable energy capacity utilization. This study evaluates the effect of China's RPS on the capacity utilization of renewable energy, as well as the spillover effects of this policy on thermal and hydroelectric power, using a difference-in-differences model. The results indicate that RPS target stringency has a positive effect on the capacity utilization of non-hydro renewable energy in China. Increasing the RPS target stringency by one standard deviation leads to an increase of 130 hours in the average annual operating hours of non-hydro renewable energy power plants, representing a 7% increase relative to the standard deviation of the dependent variable. Heterogeneity analysis reveals that more stringent RPS targets significantly boost wind power capacity utilization while reducing photovoltaic power capacity utilization, with no significant effect on biomass power capacity utilization. Additionally, the RPS policy has spillover effects, increasing thermal power capacity utilization while suppressing hydroelectric power capacity utilization. These findings provide valuable insights for countries implementing RPS policies, enabling them to optimize policy design to enhance the capacity utilization of renewable energy and facilitate the low-carbon transition of their energy systems.
{"title":"Can renewable portfolio standard promote renewable energy capacity utilization? Empirical evidence from China","authors":"Shuni Wei, Peng Yuan, Renjie Yu","doi":"10.1016/j.rser.2024.115159","DOIUrl":"10.1016/j.rser.2024.115159","url":null,"abstract":"<div><div>As the costs of renewable energy generation decline, the focus of renewable energy policies has shifted from feed-in tariff to renewable portfolio standard (RPS). While existing literature has examined the effects of RPS on the installed capacity, capacity additions, and power generation of renewable energy, it has largely overlooked the impact on renewable energy capacity utilization. This study evaluates the effect of China's RPS on the capacity utilization of renewable energy, as well as the spillover effects of this policy on thermal and hydroelectric power, using a difference-in-differences model. The results indicate that RPS target stringency has a positive effect on the capacity utilization of non-hydro renewable energy in China. Increasing the RPS target stringency by one standard deviation leads to an increase of 130 hours in the average annual operating hours of non-hydro renewable energy power plants, representing a 7% increase relative to the standard deviation of the dependent variable. Heterogeneity analysis reveals that more stringent RPS targets significantly boost wind power capacity utilization while reducing photovoltaic power capacity utilization, with no significant effect on biomass power capacity utilization. Additionally, the RPS policy has spillover effects, increasing thermal power capacity utilization while suppressing hydroelectric power capacity utilization. These findings provide valuable insights for countries implementing RPS policies, enabling them to optimize policy design to enhance the capacity utilization of renewable energy and facilitate the low-carbon transition of their energy systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115159"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115161
Julius Adinkrah , Francis Kemausuor , Eric Tutu Tchao , Henry Nunoo-Mensah , Andrew Selasi Agbemenu , Akwasi Adu-Poku , Jerry John Kponyo
Access to electricity is a cornerstone for sustainable development and is pivotal to a country's progress. The absence of electricity impedes development and elevates poverty. The first step in sustainable energy planning is accurately estimating the people's electricity demand. However, accurately estimating or modelling electricity demand for localised communities has been a longstanding challenge since the inception of electricity, exacerbated by the continuous introduction of new electrical appliances, the need for more accurate and available data, and the unpredictable behaviour of individuals when using these appliances. This study seeks to develop a systematic review of existing research on predicting or forecasting electricity consumption in rural and urban areas. The study considered a bottom-up, top-down and hybrid approach with Machine Learning (ML), Deep Learning (DL), decomposition ensemble and AI-based optimization as techniques leveraged. The limitations of the models employed were also outlined, and lastly, open challenges and future directions were proposed. It was observed from the model categorization that decomposition ensemble and hybrid techniques may give a promising result; hence, they could help create an accurate and robust prediction or forecasting model for electricity demand.
{"title":"Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review","authors":"Julius Adinkrah , Francis Kemausuor , Eric Tutu Tchao , Henry Nunoo-Mensah , Andrew Selasi Agbemenu , Akwasi Adu-Poku , Jerry John Kponyo","doi":"10.1016/j.rser.2024.115161","DOIUrl":"10.1016/j.rser.2024.115161","url":null,"abstract":"<div><div>Access to electricity is a cornerstone for sustainable development and is pivotal to a country's progress. The absence of electricity impedes development and elevates poverty. The first step in sustainable energy planning is accurately estimating the people's electricity demand. However, accurately estimating or modelling electricity demand for localised communities has been a longstanding challenge since the inception of electricity, exacerbated by the continuous introduction of new electrical appliances, the need for more accurate and available data, and the unpredictable behaviour of individuals when using these appliances. This study seeks to develop a systematic review of existing research on predicting or forecasting electricity consumption in rural and urban areas. The study considered a bottom-up, top-down and hybrid approach with Machine Learning (ML), Deep Learning (DL), decomposition ensemble and AI-based optimization as techniques leveraged. The limitations of the models employed were also outlined, and lastly, open challenges and future directions were proposed. It was observed from the model categorization that decomposition ensemble and hybrid techniques may give a promising result; hence, they could help create an accurate and robust prediction or forecasting model for electricity demand.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115161"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-04DOI: 10.1016/j.rser.2024.115105
Gilmore N , P.A. Burr , E. Obbard , C. Stockings , J.J. Kruzic , I. Seitenzahl , S. Ata , E. Maartensson , R.K. Niven
Nuclear energy discourse is deeply entrenched, with historical incidents and excessive objectivity deepening for-or-against lines that impede collaborative discussions. This research advocates for a futures thinking approach where stakeholders discuss possibilities before debating probabilities and preferences. This method is demonstrated by deriving four scenarios through an expert led review of historical events and recent research. 1) Spillover Benefits envisages the staggered deployment of small modular reactors stemming from remote power projects in a few leading nations that need continued government support and significant technological advancement. 2) Disruption Rebound envisages the ramifications of an energy security crises that that may shift public opinion, justify political actors, and fragment international partnerships. 3) Catastrophe Contraction envisages the severe setback of a major nuclear accident, stressing the challenge of enduring social apprehensions on the way to ultra reliable operation. 4) Strategic Fulcrum examines the geopolitical implication of using nuclear technology to establish long-term alliances, which could either increase or decrease technology costs and conflict risks depending on uncertain geopolitical developments. In this research, futures thinking allowed experts to openly consider scenarios they may otherwise have dismissed as unlikely or undesirable. Other stakeholders can apply this method to facilitate inclusive discussions, transforming contentious debates into constructive discourse.
{"title":"Discussing possible futures to neutralise nuclear energy discourse","authors":"Gilmore N , P.A. Burr , E. Obbard , C. Stockings , J.J. Kruzic , I. Seitenzahl , S. Ata , E. Maartensson , R.K. Niven","doi":"10.1016/j.rser.2024.115105","DOIUrl":"10.1016/j.rser.2024.115105","url":null,"abstract":"<div><div>Nuclear energy discourse is deeply entrenched, with historical incidents and excessive objectivity deepening for-or-against lines that impede collaborative discussions. This research advocates for a futures thinking approach where stakeholders discuss possibilities before debating probabilities and preferences. This method is demonstrated by deriving four scenarios through an expert led review of historical events and recent research. 1) Spillover Benefits envisages the staggered deployment of small modular reactors stemming from remote power projects in a few leading nations that need continued government support and significant technological advancement. 2) Disruption Rebound envisages the ramifications of an energy security crises that that may shift public opinion, justify political actors, and fragment international partnerships. 3) Catastrophe Contraction envisages the severe setback of a major nuclear accident, stressing the challenge of enduring social apprehensions on the way to ultra reliable operation. 4) Strategic Fulcrum examines the geopolitical implication of using nuclear technology to establish long-term alliances, which could either increase or decrease technology costs and conflict risks depending on uncertain geopolitical developments. In this research, futures thinking allowed experts to openly consider scenarios they may otherwise have dismissed as unlikely or undesirable. Other stakeholders can apply this method to facilitate inclusive discussions, transforming contentious debates into constructive discourse.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"210 ","pages":"Article 115105"},"PeriodicalIF":16.3,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-03DOI: 10.1016/j.rser.2024.115154
Chao Rong , Ying Song , Weifu Yan , Tong Zhang , Yu-You Li
Reducing the energy input and greenhouse gas emissions from the municipal wastewater (MWW) depends significantly on the application of innovative treatment technologies and processes. Anaerobic membrane bioreactor (AnMBR) and Anammox are emerging processes for MWW treatment, recognized for their energy efficiency and low carbon footprint. Extensive studies have demonstrated the feasibility of using independent AnMBR and Anammox systems for MWW treatment, and there is growing interest in integrating these two technologies into a complete treatment process. At this juncture, a comprehensive review from the perspective of the two technologies’ integration is needed to guide for the future practical applications of AnMBR-Anammox. Therefore, this review focuses on the state-of-the-art development of AnMBR-Anammox for MWW treatment, with particular attention to the application modes: mainstream mode (directly feeding MWW) and side-stream mode (feeding preconcentrated MWW). This review introduces the fundamentals and mechanisms underlying the integration of AnMBR and Anammox, summarizes the challenges and potential countermeasures, and proposes the strategy for selecting and combining AnMBR and Anammox to meet various requirements in different scenarios. Additionally, this work highlights that the expanded use of membranes for solid-liquid separation and the onsite utilization of waste sludge will facilitate an improved treatment performance and sustainability of AnMBR-Anammox plants. This review serves as a reference and guidance for the scientific community and industry in developing AnMBR-Anammox for MWW treatment, ultimately contributing to the achievement of net-zero emissions and sustainable development.
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