Methyl ketone, a fatty acid derivative, has attracted extensive attention due to its remarkable properties such as a high cetane number, low freezing point, immiscibility with water, and high compatibility with diesel and other quality biofuel properties. Methyl ketones are downstream products of fatty acid metabolism in microorganisms, making them readily accessible through metabolic engineering. In addition, methyl ketones are easily isolated during biological fermentation, as they can be extracted by organic solvents in medium. Consequently, the utilization of microorganisms for the production of methyl ketones as a viable biofuel alternative has garnered growing interest and achieved substantial advancements. This review aims to comprehensively and critically examine the latest advances in biosynthetic pathways for the synthesis of methyl ketones and corresponding metabolic engineering strategies. These pathways include fatty acid synthesis pathway, fatty acid β-oxidation derived pathway, CoA-dependent pathway, 2-butanone synthesis pathway and polyketide synthases synthesis pathway. Furthermore, key challenges and perspectives have been discussed for advancing research in the field of methyl ketone biosynthesis.
{"title":"Advances in the microbial biosynthesis of methyl ketones","authors":"Shijie Xu, Qi Zhang, Genlai Dong, Zihe Liu, Jinyu Fu, Shuobo Shi","doi":"10.1016/j.rser.2024.115038","DOIUrl":"10.1016/j.rser.2024.115038","url":null,"abstract":"<div><div>Methyl ketone, a fatty acid derivative, has attracted extensive attention due to its remarkable properties such as a high cetane number, low freezing point, immiscibility with water, and high compatibility with diesel and other quality biofuel properties. Methyl ketones are downstream products of fatty acid metabolism in microorganisms, making them readily accessible through metabolic engineering. In addition, methyl ketones are easily isolated during biological fermentation, as they can be extracted by organic solvents in medium. Consequently, the utilization of microorganisms for the production of methyl ketones as a viable biofuel alternative has garnered growing interest and achieved substantial advancements. This review aims to comprehensively and critically examine the latest advances in biosynthetic pathways for the synthesis of methyl ketones and corresponding metabolic engineering strategies. These pathways include fatty acid synthesis pathway, fatty acid β-oxidation derived pathway, CoA-dependent pathway, 2-butanone synthesis pathway and polyketide synthases synthesis pathway. Furthermore, key challenges and perspectives have been discussed for advancing research in the field of methyl ketone biosynthesis.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115038"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551850","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}
—Early prediction of the battery lifetime plays an important role in the safety of battery usage. However, existing methods face challenges stemming from a limited variety of training data. In this study, to address this data scarcity issue, a transfer learning approach for battery lifetime prediction is proposed, utilizing data from different datasets to train the prediction model. Firstly, a deep learning model is developed for lifetime prediction, incorporating a feature extractor, a lifetime predictor, and a domain classifier. Convolutional neural networks with attention mechanism is used in the feature extractor for comprehensive feature extraction. Secondly, a domain adversarial learning strategy is implemented to train the model, encouraging to extract features that are domain independence. The strategy guides the feature extractor to yield domain-invariant features crucial for knowledge transfer. Finally, the effectiveness of the proposed method is validated using publicly available datasets. Experimental findings demonstrate that the root mean square errors decrease by 68.1 % and 17.9 % on two datasets, respectively. It underscores that the model's proficiency in predicting battery lifetime without reliance on labeled data from the target dataset.
{"title":"Lithium-ion batteries lifetime early prediction using domain adversarial learning","authors":"Zhen Zhang , Yanyu Wang , Xingxin Ruan , Xiangyu Zhang","doi":"10.1016/j.rser.2024.115035","DOIUrl":"10.1016/j.rser.2024.115035","url":null,"abstract":"<div><div>—Early prediction of the battery lifetime plays an important role in the safety of battery usage. However, existing methods face challenges stemming from a limited variety of training data. In this study, to address this data scarcity issue, a transfer learning approach for battery lifetime prediction is proposed, utilizing data from different datasets to train the prediction model. Firstly, a deep learning model is developed for lifetime prediction, incorporating a feature extractor, a lifetime predictor, and a domain classifier. Convolutional neural networks with attention mechanism is used in the feature extractor for comprehensive feature extraction. Secondly, a domain adversarial learning strategy is implemented to train the model, encouraging to extract features that are domain independence. The strategy guides the feature extractor to yield domain-invariant features crucial for knowledge transfer. Finally, the effectiveness of the proposed method is validated using publicly available datasets. Experimental findings demonstrate that the root mean square errors decrease by 68.1 % and 17.9 % on two datasets, respectively. It underscores that the model's proficiency in predicting battery lifetime without reliance on labeled data from the target dataset.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115035"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551853","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115039
H. Benisi Ghadim , A. Godin , A. Veillere , M. Duquesne , D. Haillot
Effective thermal management systems (TMS) are crucial for the optimal operation of electronic devices in computing, data centers, and transportation. This review begins by highlighting the essential role that TMS plays in today's electronics, where performance, reliability, and energy efficiency are of utmost importance. TMS strategies are vital for addressing the escalating thermal challenges associated with the ever-increasing computational demands of modern electronics. This study focuses on pivotal applications: mobile phones, laptops, data centers, electric vehicles and aircraft. Given the fast evolution of microelectronics technologies, research in electronics tends to improve compacity, significantly impacting their thermal behavior, a fact that has garnered scant attention. Device failures mainly occur when recommended temperature thresholds are exceeded. Current cooling solutions used to tackle this overheating consist of heat pipes and/or thermal drains (in most efficient cases, liquid-gas phase changes are involved), comprising assisted by noisy and energy consuming fans. Although this problem has been studied extensively for decades, no satisfactory solution has been found, and electronic component thermal management continues to be a major challenge. This work is an original contribution, and concludes that the development of innovative TMS based on hybrid materials (a metallic matrix with an optimized topology and whose microporosity is impregnated with phase change materials) could pave the way for a brand new generation of ambitious microelectronics technologies. The maximum tolerable temperature thresholds constitute the critical criteria for the targeted applications. The review makes PCM selections based on criteria such as latent heat, absence of undercooling, compatibility with metals.
{"title":"Review of thermal management of electronics and phase change materials","authors":"H. Benisi Ghadim , A. Godin , A. Veillere , M. Duquesne , D. Haillot","doi":"10.1016/j.rser.2024.115039","DOIUrl":"10.1016/j.rser.2024.115039","url":null,"abstract":"<div><div>Effective thermal management systems (TMS) are crucial for the optimal operation of electronic devices in computing, data centers, and transportation. This review begins by highlighting the essential role that TMS plays in today's electronics, where performance, reliability, and energy efficiency are of utmost importance. TMS strategies are vital for addressing the escalating thermal challenges associated with the ever-increasing computational demands of modern electronics. This study focuses on pivotal applications: mobile phones, laptops, data centers, electric vehicles and aircraft. Given the fast evolution of microelectronics technologies, research in electronics tends to improve compacity, significantly impacting their thermal behavior, a fact that has garnered scant attention. Device failures mainly occur when recommended temperature thresholds are exceeded. Current cooling solutions used to tackle this overheating consist of heat pipes and/or thermal drains (in most efficient cases, liquid-gas phase changes are involved), comprising assisted by noisy and energy consuming fans. Although this problem has been studied extensively for decades, no satisfactory solution has been found, and electronic component thermal management continues to be a major challenge. This work is an original contribution, and concludes that the development of innovative TMS based on hybrid materials (a metallic matrix with an optimized topology and whose microporosity is impregnated with phase change materials) could pave the way for a brand new generation of ambitious microelectronics technologies. The maximum tolerable temperature thresholds constitute the critical criteria for the targeted applications. The review makes PCM selections based on criteria such as latent heat, absence of undercooling, compatibility with metals.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115039"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551859","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}
Different additives can capture carbon dioxide (CO2) during biomass torrefaction. Biochar and hydrochar can potentially sequester CO2. A comparative review of CO2 sequestration via biochar and hydrochar and its relationship with carbon credits is inadequate. This research aims to explore CO2 sequestration during biomass torrefaction and hydrothermal carbonization (HTC) with additives (magnesium hydroxide: Mg(OH)2, and calcium oxide: CaO), conduct a comparative analysis of CO2 sequestration by biochar and hydrochar, analyze the energy increment in both, and determine the prospects of carbon credit and carbon rights related to these processes. During torrefaction, Mg(OH)2 captures up to 62 % of CO2, while no additives are needed in hydrochar production since CO2 is not released. CO2 absorption by biochar and hydrochar ranges from 0.03 to 3.5 mmol g−1. Torrefied biochar exhibits varying carbon contents between 50 and 70 wt%, while the ranges in hydrochar are 48–70 wt%, resembling lignite. The higher heating values (HHV) of biochar, hydrochar, and lignite are also comparable, nearly 25 MJ kg−1. Biochar-based electricity production's global warming potential (GWP) is lower than coal-based production, while hydrochar-based production has a higher GWP. Hydrochar production is less efficient due to its drying and activation methods. Biomass torrefaction and HTC can earn carbon credits by reducing emissions and are tied to carbon rights through enhanced carbon sequestration on biomass-producing land. Future research directions in carbon credits and carbon rights for torrefied biochar and HTC-derived hydrochar can focus on optimizing production processes, refining conversion technologies, and maximizing carbon sequestration.
{"title":"Achieving carbon credits through biomass torrefaction and hydrothermal carbonization: A review","authors":"Wei-Hsin Chen , Partha Pratim Biswas , Congyu Zhang , Eilhann E. Kwon , Jo-Shu Chang","doi":"10.1016/j.rser.2024.115056","DOIUrl":"10.1016/j.rser.2024.115056","url":null,"abstract":"<div><div>Different additives can capture carbon dioxide (CO<sub>2</sub>) during biomass torrefaction. Biochar and hydrochar can potentially sequester CO<sub>2</sub>. A comparative review of CO<sub>2</sub> sequestration via biochar and hydrochar and its relationship with carbon credits is inadequate. This research aims to explore CO<sub>2</sub> sequestration during biomass torrefaction and hydrothermal carbonization (HTC) with additives (magnesium hydroxide: Mg(OH)<sub>2</sub>, and calcium oxide: CaO), conduct a comparative analysis of CO<sub>2</sub> sequestration by biochar and hydrochar, analyze the energy increment in both, and determine the prospects of carbon credit and carbon rights related to these processes. During torrefaction, Mg(OH)<sub>2</sub> captures up to 62 % of CO<sub>2</sub>, while no additives are needed in hydrochar production since CO<sub>2</sub> is not released. CO<sub>2</sub> absorption by biochar and hydrochar ranges from 0.03 to 3.5 mmol g<sup>−1</sup>. Torrefied biochar exhibits varying carbon contents between 50 and 70 wt%, while the ranges in hydrochar are 48–70 wt%, resembling lignite. The higher heating values (HHV) of biochar, hydrochar, and lignite are also comparable, nearly 25 MJ kg<sup>−1</sup>. Biochar-based electricity production's global warming potential (GWP) is lower than coal-based production, while hydrochar-based production has a higher GWP. Hydrochar production is less efficient due to its drying and activation methods. Biomass torrefaction and HTC can earn carbon credits by reducing emissions and are tied to carbon rights through enhanced carbon sequestration on biomass-producing land. Future research directions in carbon credits and carbon rights for torrefied biochar and HTC-derived hydrochar can focus on optimizing production processes, refining conversion technologies, and maximizing carbon sequestration.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115056"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551938","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115027
Qingchun Yang , Lei Zhao , Runjie Bao , Yingjie Fan , Jianlong Zhou , Dongwen Rong , Huairong Zhou , Dawei Zhang
The CO2-to-light olefins technology represents a significant approach to mitigating the greenhouse effect and advancing green energy solutions. However, little literature comprehensively analyzes and optimizes its thermodynamic performance. This study proposes an interpretable machine learning-assisted advanced exergy analysis and optimization framework to ascertain the actual improvement potential and determine effective strategies for optimizing this system. The advanced exergy analysis method aims to identify the avoidable exergy destruction and interactions between components of the system, while integrating an interpretable machine learning model to provide the key parameters for enhancing the system's exergy efficiency through feature importance analysis. The findings indicate that the exergy destruction of the system amounts to 656.06 MW, with 96.81 % of this exergy destruction being attributed to endogenous factors and approximately 66.51 % of it being potentially avoidable. The random forest model, exhibiting superior predictive accuracy compared to other machine learning models, is coupled with the interpretable Shapley additive explanation approach to discern the most crucial parameters of the system. Results indicated catalyst properties have the greatest impact on the output performance of the system, contributing up to 66.1 % to the predicted results. The active component type, reaction temperature, and promoter content have the largest contribution to the prediction of CO2 conversion ratio and light olefins selectivity. Furthermore, the key input features are optimized by screening for better catalysts and conducting sensitivity analysis. After optimization, the system's avoidable exergy destruction is significantly saved by 32.27 %, resulting in an enhancement in exergy efficiency by 8.12 %.
{"title":"Interpretable machine learning-assisted advanced exergy optimization for carbon-neutral olefins production","authors":"Qingchun Yang , Lei Zhao , Runjie Bao , Yingjie Fan , Jianlong Zhou , Dongwen Rong , Huairong Zhou , Dawei Zhang","doi":"10.1016/j.rser.2024.115027","DOIUrl":"10.1016/j.rser.2024.115027","url":null,"abstract":"<div><div>The CO<sub>2</sub>-to-light olefins technology represents a significant approach to mitigating the greenhouse effect and advancing green energy solutions. However, little literature comprehensively analyzes and optimizes its thermodynamic performance. This study proposes an interpretable machine learning-assisted advanced exergy analysis and optimization framework to ascertain the actual improvement potential and determine effective strategies for optimizing this system. The advanced exergy analysis method aims to identify the avoidable exergy destruction and interactions between components of the system, while integrating an interpretable machine learning model to provide the key parameters for enhancing the system's exergy efficiency through feature importance analysis. The findings indicate that the exergy destruction of the system amounts to 656.06 MW, with 96.81 % of this exergy destruction being attributed to endogenous factors and approximately 66.51 % of it being potentially avoidable. The random forest model, exhibiting superior predictive accuracy compared to other machine learning models, is coupled with the interpretable Shapley additive explanation approach to discern the most crucial parameters of the system. Results indicated catalyst properties have the greatest impact on the output performance of the system, contributing up to 66.1 % to the predicted results. The active component type, reaction temperature, and promoter content have the largest contribution to the prediction of CO<sub>2</sub> conversion ratio and light olefins selectivity. Furthermore, the key input features are optimized by screening for better catalysts and conducting sensitivity analysis. After optimization, the system's avoidable exergy destruction is significantly saved by 32.27 %, resulting in an enhancement in exergy efficiency by 8.12 %.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115027"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551838","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115022
Muhammad Imran Khan , Faisal Asfand , Sami G. Al-Ghamdi , Yusuf Bicer , Mushtaq Khan , Muhammad Farooq , Apostolos Pesyridis
The global freshwater crisis poses an existential threat to sustainable development worldwide. Desalination has emerged as a critical solution, but conventional fossil-fuel plants are energy-intensive and emit substantial greenhouse gases. Concentrating solar power (CSP) offers a promising renewable pathway to drive thermal desalination processes. However, CSP-desalination integration requires thoughtful system configuration design to maximize efficiency. This review consolidates insights from diverse case studies worldwide, highlighting the merits of CSP-desalination integration, such as significantly improved energy efficiency and sustainability through the utilization of renewable solar energy and enabling multi-generation systems for combined electricity, water, and heating services. The review's novelty lies in its systematic assessment of modeling simulations, pilot facilities, and commercial plants to elucidate key learnings on technical configurations and optimizations. It also proposes innovative configurations to enhance system efficiency and performance. The review identifies and analyzes optimization strategies employed in the reviewed case studies, including the role of thermal storage for 24-h operation, cogeneration for enhanced energy utilization, and multi-generation systems for combined electricity, water, and heating services. Recognizing the growing interest in hybrid systems, this review specifically examines the integration of thermal and membrane desalination processes driven by CSP, highlighting potential synergies and performance enhancements. The review provides a critical assessment of the diverse case demonstrations proving the technical viability of concentrated solar desalination under proper design conditions. It offers valuable insights on configurations that maximize renewable energy utilization and minimize water costs tailored to local ambient and operational parameters. Furthermore, it provides a forward-looking perspective by exploring the application of supercritical CO2 cycles in CSP-desalination systems, examining their potential for high-temperature heat supply without compromising power generation efficiency.
{"title":"Realizing the promise of concentrating solar power for thermal desalination: A review of technology configurations and optimizations","authors":"Muhammad Imran Khan , Faisal Asfand , Sami G. Al-Ghamdi , Yusuf Bicer , Mushtaq Khan , Muhammad Farooq , Apostolos Pesyridis","doi":"10.1016/j.rser.2024.115022","DOIUrl":"10.1016/j.rser.2024.115022","url":null,"abstract":"<div><div>The global freshwater crisis poses an existential threat to sustainable development worldwide. Desalination has emerged as a critical solution, but conventional fossil-fuel plants are energy-intensive and emit substantial greenhouse gases. Concentrating solar power (CSP) offers a promising renewable pathway to drive thermal desalination processes. However, CSP-desalination integration requires thoughtful system configuration design to maximize efficiency. This review consolidates insights from diverse case studies worldwide, highlighting the merits of CSP-desalination integration, such as significantly improved energy efficiency and sustainability through the utilization of renewable solar energy and enabling multi-generation systems for combined electricity, water, and heating services. The review's novelty lies in its systematic assessment of modeling simulations, pilot facilities, and commercial plants to elucidate key learnings on technical configurations and optimizations. It also proposes innovative configurations to enhance system efficiency and performance. The review identifies and analyzes optimization strategies employed in the reviewed case studies, including the role of thermal storage for 24-h operation, cogeneration for enhanced energy utilization, and multi-generation systems for combined electricity, water, and heating services. Recognizing the growing interest in hybrid systems, this review specifically examines the integration of thermal and membrane desalination processes driven by CSP, highlighting potential synergies and performance enhancements. The review provides a critical assessment of the diverse case demonstrations proving the technical viability of concentrated solar desalination under proper design conditions. It offers valuable insights on configurations that maximize renewable energy utilization and minimize water costs tailored to local ambient and operational parameters. Furthermore, it provides a forward-looking perspective by exploring the application of supercritical CO2 cycles in CSP-desalination systems, examining their potential for high-temperature heat supply without compromising power generation efficiency.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115022"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551861","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115036
Song Lv , Mengying Lu , Wenzhuo Liu , Xianglin Li , Wenhao Lv , Zhe Liu , Xuanchen Dong , Tonghui Lu , Bowen Yang
Photovoltaic power generation technology converts sunlight directly into electricity without any heat engine interference, offering a new solution to address the growing energy crisis and environmental pollution. However, land-based photovoltaic systems face challenges such as limited space availability, intense heating of photovoltaic cells, dust deposition, and shading effects. The focus on solar energy is gradually shifting towards the ocean. Marine photovoltaic systems can effectively overcome the limitations of land-based photovoltaics, avoiding shading, utilizing a broader space, and utilizing seawater as a cooling medium to reduce the temperature of photovoltaic systems. Currently, numerous review articles emphasize marine floating photovoltaics, yet there is a lack of commentary on marine longitudinal space photovoltaic power generation systems. Therefore, this review meticulously introduces the latest research progress in marine photovoltaic systems, encompassing floating photovoltaic systems, fixed pile foundation photovoltaic systems, photovoltaic systems applied to ocean-going vessels, and underwater photovoltaic systems. The spatial division rules of sea level, above sea surface and below sea surface are used to summarize. The work thoroughly analyzes the factors influencing the efficiency and performance of each system. Furthermore, an economic and feasibility evaluation is conducted for each system, providing a robust research foundation for the future development and application of marine photovoltaic technology.
{"title":"Recent advances in longitudinal spatial area marine photovoltaics","authors":"Song Lv , Mengying Lu , Wenzhuo Liu , Xianglin Li , Wenhao Lv , Zhe Liu , Xuanchen Dong , Tonghui Lu , Bowen Yang","doi":"10.1016/j.rser.2024.115036","DOIUrl":"10.1016/j.rser.2024.115036","url":null,"abstract":"<div><div>Photovoltaic power generation technology converts sunlight directly into electricity without any heat engine interference, offering a new solution to address the growing energy crisis and environmental pollution. However, land-based photovoltaic systems face challenges such as limited space availability, intense heating of photovoltaic cells, dust deposition, and shading effects. The focus on solar energy is gradually shifting towards the ocean. Marine photovoltaic systems can effectively overcome the limitations of land-based photovoltaics, avoiding shading, utilizing a broader space, and utilizing seawater as a cooling medium to reduce the temperature of photovoltaic systems. Currently, numerous review articles emphasize marine floating photovoltaics, yet there is a lack of commentary on marine longitudinal space photovoltaic power generation systems. Therefore, this review meticulously introduces the latest research progress in marine photovoltaic systems, encompassing floating photovoltaic systems, fixed pile foundation photovoltaic systems, photovoltaic systems applied to ocean-going vessels, and underwater photovoltaic systems. The spatial division rules of sea level, above sea surface and below sea surface are used to summarize. The work thoroughly analyzes the factors influencing the efficiency and performance of each system. Furthermore, an economic and feasibility evaluation is conducted for each system, providing a robust research foundation for the future development and application of marine photovoltaic technology.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115036"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551849","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115032
Noah Z. Krasner , Jessica Fox , Alona Armstrong , Kathleen Ave , Fabio Carvalho , Yudi Li , Leroy J. Walston , Michael P. Ricketts , Sarah M. Jordaan , Majdi Abou Najm , Heidi M. Hartmann , Rebecca Lybrand , Rebecca R. Hernandez
Globally, solar energy is anticipated to be the primary source of electricity as early as 2050, and the greatest additions in capacity are currently in the form of large, ground-mounted photovoltaic solar energy facilities (GPVs). Growing interest lies in understanding and anticipating opportunities to increase soil carbon sequestration across the footprint and perimeter of both conventional and multi-use GPVs (e.g., ecovoltaics, agrivoltaics, and rangevolatics), especially as operators increasingly deputize as land managers. To date, studies on the relationship between soils and PV solar energy are limited to unique, localized sites. This study employed a systematic review to (i) identify a global corpus of 18 studies on interactions between GPVs and soils, (ii) collect and characterize 113 soil and soil-related experimental variables interacting with GPVs from this corpus, and (iii) synthesize trends among these experimental variables. Next, this study combined data from the systematic review with an iterative, knowledge co-production approach to produce a conceptual model for the study of soil and GPV interactions that applies to multiple installation types, scales, and contexts where GPVs are deployed, and identified research opportunities, threats, and priorities. This study's baseline understanding, conceptual model, and co-produced knowledge confer unique insight into the feasibility of combining soil carbon sequestration with the climate change mitigation potential of PV solar energy.
{"title":"Impacts of photovoltaic solar energy on soil carbon: A global systematic review and framework","authors":"Noah Z. Krasner , Jessica Fox , Alona Armstrong , Kathleen Ave , Fabio Carvalho , Yudi Li , Leroy J. Walston , Michael P. Ricketts , Sarah M. Jordaan , Majdi Abou Najm , Heidi M. Hartmann , Rebecca Lybrand , Rebecca R. Hernandez","doi":"10.1016/j.rser.2024.115032","DOIUrl":"10.1016/j.rser.2024.115032","url":null,"abstract":"<div><div>Globally, solar energy is anticipated to be the primary source of electricity as early as 2050, and the greatest additions in capacity are currently in the form of large, ground-mounted photovoltaic solar energy facilities (GPVs). Growing interest lies in understanding and anticipating opportunities to increase soil carbon sequestration across the footprint and perimeter of both conventional and multi-use GPVs (e.g., ecovoltaics, agrivoltaics, and rangevolatics), especially as operators increasingly deputize as land managers. To date, studies on the relationship between soils and PV solar energy are limited to unique, localized sites. This study employed a systematic review to (i) identify a global corpus of 18 studies on interactions between GPVs and soils, (ii) collect and characterize 113 soil and soil-related experimental variables interacting with GPVs from this corpus, and (iii) synthesize trends among these experimental variables. Next, this study combined data from the systematic review with an iterative, knowledge co-production approach to produce a conceptual model for the study of soil and GPV interactions that applies to multiple installation types, scales, and contexts where GPVs are deployed, and identified research opportunities, threats, and priorities. This study's baseline understanding, conceptual model, and co-produced knowledge confer unique insight into the feasibility of combining soil carbon sequestration with the climate change mitigation potential of PV solar energy.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115032"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551851","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115052
Hasan Dinçer , Raghunathan Krishankumar , Serhat Yüksel , Fatih Ecer
It is critical to determine which factors impact more smart grid investments and which smart grid investment policy is more suitable for renewable energy projects. Nonetheless, a limited amount of research has focused on this topic, meaning a new study is needed to fill this gap and aid in making decisions under ambiguities. Thus, this research proposes a novel fuzzy group decision-making framework. Twelve drivers are examined through the fuzzy weighted decision-making trial and evaluation laboratory (F–DEMATEL–W) methodology. Subsequently, four smart grid investment policies are ranked using fuzzy weighted aggregated sum product assessment (F–WASPAS). Hence, one of the novelties of this research is the proposal of a robust decision-making tool named F–DEMATEL–W–WASPAS. Other novelties are: (i) the importance of the indicators/criteria is methodically determined by considering pairwise interactions and weights of experts; (ii) both individualistic expert-driven weight vector and cumulative weight vector of indicators are determined; (iii) alternative policies are ranked with minimum decision parameters; (iv) drivers that are crucial for the effectiveness of smart grid investment are determined with their causal relationship, and (v) smart grid investment policies are ranked reliably. The findings demonstrate that cyber security, sufficient legal procedures, and financial viability are the foremost drivers to increase the effectiveness of smart grid investments. Moreover, encouraging sustainable energy production using financial incentives is the foremost policy, followed by exchanging surplus electricity for the system owners. The work may contribute to the ongoing discussion on designing smart grid investment policies for renewable energy projects.
{"title":"Evaluating smart grid investment drivers and creating effective policies via a fuzzy multi-criteria approach","authors":"Hasan Dinçer , Raghunathan Krishankumar , Serhat Yüksel , Fatih Ecer","doi":"10.1016/j.rser.2024.115052","DOIUrl":"10.1016/j.rser.2024.115052","url":null,"abstract":"<div><div>It is critical to determine which factors impact more smart grid investments and which smart grid investment policy is more suitable for renewable energy projects. Nonetheless, a limited amount of research has focused on this topic, meaning a new study is needed to fill this gap and aid in making decisions under ambiguities. Thus, this research proposes a novel fuzzy group decision-making framework. Twelve drivers are examined through the fuzzy weighted decision-making trial and evaluation laboratory (F–DEMATEL–W) methodology. Subsequently, four smart grid investment policies are ranked using fuzzy weighted aggregated sum product assessment (F–WASPAS). Hence, one of the novelties of this research is the proposal of a robust decision-making tool named F–DEMATEL–W–WASPAS. Other novelties are: (i) the importance of the indicators/criteria is methodically determined by considering pairwise interactions and weights of experts; (ii) both individualistic expert-driven weight vector and cumulative weight vector of indicators are determined; (iii) alternative policies are ranked with minimum decision parameters; (iv) drivers that are crucial for the effectiveness of smart grid investment are determined with their causal relationship, and (v) smart grid investment policies are ranked reliably. The findings demonstrate that cyber security, sufficient legal procedures, and financial viability are the foremost drivers to increase the effectiveness of smart grid investments. Moreover, encouraging sustainable energy production using financial incentives is the foremost policy, followed by exchanging surplus electricity for the system owners. The work may contribute to the ongoing discussion on designing smart grid investment policies for renewable energy projects.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115052"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551858","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 : 2024-10-30DOI: 10.1016/j.rser.2024.115021
C. Suresh , Abhishek Awasthi , Binit Kumar , Seong-kyun Im , Yongseok Jeon
One of the major challenges currently facing electric vehicles (EVs) is the effective thermal management of their battery packs, which significantly impacts both battery performance and longevity. Temperature control is a critical parameter for ensuring efficient battery thermal management systems (BTMS), making the development of effective real-time heat dissipation technologies essential. Presently, most EVs utilize indirect liquid-cooling systems, which effectively reduce battery temperatures but are limited by issues such as high pumping power requirements and non-uniform temperature distribution, necessitating further research and optimization. This study examines the limitations of conventional liquid and air-cooling approaches while exploring the development potential of phase change materials (PCM) enhanced with metal foam, integrated with liquid-cooling as a promising alternative. Additionally, the current status of hybrid and immersion cooling systems is comprehensively reviewed. The effects of operational strategies and system design structures on performance and energy consumption are also evaluated. Notably, the hybrid cold plate design demonstrated a 53 % reduction in overall weight compared to the baseline design, which resulted in a 90 % decrease in power consumption. Furthermore, this study explores the impacts of BTMS on the life cycle cost, lifespan, and carbon footprint of EVs batteries. The results indicate that PCM embedded with metal foam, combined with liquid-cooling, is a highly suitable choice for fast-charging and high energy density batteries. Finally, challenges and recommendations for future research are presented to advance the field of battery thermal management systems.
{"title":"Advances in battery thermal management for electric vehicles: A comprehensive review of hybrid PCM-metal foam and immersion cooling technologies","authors":"C. Suresh , Abhishek Awasthi , Binit Kumar , Seong-kyun Im , Yongseok Jeon","doi":"10.1016/j.rser.2024.115021","DOIUrl":"10.1016/j.rser.2024.115021","url":null,"abstract":"<div><div>One of the major challenges currently facing electric vehicles (EVs) is the effective thermal management of their battery packs, which significantly impacts both battery performance and longevity. Temperature control is a critical parameter for ensuring efficient battery thermal management systems (BTMS), making the development of effective real-time heat dissipation technologies essential. Presently, most EVs utilize indirect liquid-cooling systems, which effectively reduce battery temperatures but are limited by issues such as high pumping power requirements and non-uniform temperature distribution, necessitating further research and optimization. This study examines the limitations of conventional liquid and air-cooling approaches while exploring the development potential of phase change materials (PCM) enhanced with metal foam, integrated with liquid-cooling as a promising alternative. Additionally, the current status of hybrid and immersion cooling systems is comprehensively reviewed. The effects of operational strategies and system design structures on performance and energy consumption are also evaluated. Notably, the hybrid cold plate design demonstrated a 53 % reduction in overall weight compared to the baseline design, which resulted in a 90 % decrease in power consumption. Furthermore, this study explores the impacts of BTMS on the life cycle cost, lifespan, and carbon footprint of EVs batteries. The results indicate that PCM embedded with metal foam, combined with liquid-cooling, is a highly suitable choice for fast-charging and high energy density batteries. Finally, challenges and recommendations for future research are presented to advance the field of battery thermal management systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"208 ","pages":"Article 115021"},"PeriodicalIF":16.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551848","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}
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