Renewable Energy Focus最新文献_第2页

Hydrogen energy storage technology selection through a cutting-edge probabilistic linguistic decision framework 通过最先进的概率语言决策框架选择氢能储存技术

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100642

Raghunathan Krishankumar , Fatih Ecer , Sema Kayapınar Kaya , Witold Pedrycz

{"title":"Hydrogen energy storage technology selection through a cutting-edge probabilistic linguistic decision framework","authors":"Raghunathan Krishankumar , Fatih Ecer , Sema Kayapınar Kaya , Witold Pedrycz","doi":"10.1016/j.ref.2024.100642","DOIUrl":"10.1016/j.ref.2024.100642","url":null,"abstract":"<div><div>As a viable alternative to traditional energy forms, hydrogen energy proves effective owing to its feasible cost and reduced pollution. The storage of such a renewable energy source is essential for ensuring energy security and promoting sustainability. However, earlier studies on energy storage technology (EST) selection cannot handle complex linguistic expressions and hesitation during the decision process. Motivated by the issue, a probabilistic linguistic decision approach is developed in the present study to model linguistic expressions in daily conversations effectively. Besides, a new integrated approach is introduced by considering the regret factor for expert weight determination, weighted Cronbach’s approach for criteria weight determination, and a novel ranking procedure with a weighted approximation for prioritizing ESTs. A case example is exemplified by considering nine criteria and six ESTs to clarify the usefulness and practicality of the proposed framework. The main novelty/benefits of the study are: (i) handle uncertainty better; (ii) capture interrelationship among criteria; (iii) reduce bias by methodically determining the importance of experts; and (iv) provide a personalized ranking of ESTs. Findings depict that total cost is the foremost driver for hydrogen EST selection, while pressure cylinder storage is the most viable technology. Finally, the benefits and usefulness of the study are realized through sensitivity and comparison analyses. This study can guide and assist energy officials, academicians, governments, and other stakeholders facing hydrogen EST selection issues.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100642"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Malaysia’s energy transition and readiness towards attaining net zero: review of the potential, constraints, and enablers 马来西亚的能源转型和实现净零排放的准备情况：潜力、制约因素和促进因素审查

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100640

Malcolm Isaac Fernandez , Yun Ii Go , M. L. Dennis Wong , Wolf-Gerrit Früh

{"title":"Malaysia’s energy transition and readiness towards attaining net zero: review of the potential, constraints, and enablers","authors":"Malcolm Isaac Fernandez , Yun Ii Go , M. L. Dennis Wong , Wolf-Gerrit Früh","doi":"10.1016/j.ref.2024.100640","DOIUrl":"10.1016/j.ref.2024.100640","url":null,"abstract":"<div><div>As Malaysia confronts complex challenges of meeting growing energy demands and reducing carbon emissions, the RE transition has become a critical focus for achieving a low-carbon future. This review paper comprehensively evaluates energy transition roadmaps, journal articles, legislative acts, policies, and government initiatives about Malaysia’s commitment towards attaining net zero. The study underscores the pivotal role of collaboration among civil society, government entities, private sectors, and international partners in propelling Malaysia towards a cleaner national energy system. Based on the SWOT-PESTEL analysis, the key findings from this review paper reveal that while Malaysia’s RE transition benefits from supportive policies, economic incentives, and technological advancements, challenges such as financial barriers, public engagement, and regulatory gaps must be addressed. To attain net zero emissions in Malaysia, policy implications are suggested in this paper promoting economic shifts to RE, regulating urban and financial practices for environmental benefits, enhancing forest conservation, investing in energy storage and grid infrastructure, optimising cross-border energy planning, centralising biomass logistics, adopting energy efficiency measures, expanding CCUS technologies, developing decentralised EV charging stations powered by RE, and more. This review paper contributes to the discourse on Malaysia’s energy transition and is a valuable reference for policymakers, researchers, and stakeholders in the energy sector of Malaysia.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100640"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423117","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}

引用次数: 0

Day-ahead multi-criteria energy management of a smart home under different electrical rationing scenarios 不同电力配给情景下智能家居的前一天多标准能源管理

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100647

Haala Haj Issa , Moein Abedini , Mohsen Hamzeh , Amjad Anvari−Moghaddam

{"title":"Day-ahead multi-criteria energy management of a smart home under different electrical rationing scenarios","authors":"Haala Haj Issa , Moein Abedini , Mohsen Hamzeh , Amjad Anvari−Moghaddam","doi":"10.1016/j.ref.2024.100647","DOIUrl":"10.1016/j.ref.2024.100647","url":null,"abstract":"<div><div>With the recent global energy crisis, some countries have implemented electrical rationing (ER), making it necessary for smart homes to play a pivotal role in optimizing energy consumption and contributing to sustainable practices. To effectively manage smart home consumption, a stochastic programming approach for a grid-connected smart home energy management system (SHEMS) is proposed in this paper. The system includes PV, battery, diesel, and gas-based heating/cooling systems (HCS). Additionally, a demand response program (DRP) has been employed under time-of-use tariffs in the Syrian energy market. The main objective is to minimize the day-ahead expected cost and consumer discomfort by optimizing the operation of dispatchable units and loads. To manage the risks associated with the expected cost due to potential uncertainties in PV energy generation and electrical rationing programs, the conditional value-at-risk (CVaR) approach is adopted. Two methods are proposed to model the uncertainty in PV energy generation; interval bands and interval-based scenarios. The problem is modeled as a mixed-integer non-linear programming (MINLP) model, and coded in GAMS to test different cases. Based on the results obtained, substantial reductions reached 56.2% in worst-case cost scenarios when employing concurrent DRP-risk management.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100647"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Peer-to-peer energy trading framework for an autonomous DC microgrid using game theoretic approach 采用博弈论方法的自主直流微电网对等能源交易框架

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100636

Abba Lawan Bukar , Babangida Modu , Md Pauzi Abdullah , Mukhtar Fatihu Hamza , Suleiman Z. Almutairi

{"title":"Peer-to-peer energy trading framework for an autonomous DC microgrid using game theoretic approach","authors":"Abba Lawan Bukar , Babangida Modu , Md Pauzi Abdullah , Mukhtar Fatihu Hamza , Suleiman Z. Almutairi","doi":"10.1016/j.ref.2024.100636","DOIUrl":"10.1016/j.ref.2024.100636","url":null,"abstract":"<div><div>Peer-to-peer (P2P) electricity trading has become the next generation of energy management strategies that economically benefits prosumers by trading electricity as goods and services. The P2P electricity market is expected to support the grid to minimize reserve requirements, lower investment and operational costs, reduce peak demand, and improve reliability. This study proposes a peer-to-peer (P2P) energy trading framework for an autonomous DC microgrid. The motivation is to overcome several issues related to P2P reported in the literature: the lack of physical microgrid modeling, absence of an energy management system (EMS) before the P2P trading simulation, and full autonomy of P2P participants. To address these shortcomings, a framework that integrates physical layer (modeling of the microgrid), information layer (EMS), and application layer (P2P trading scheme) is suggested. The P2P market clearance utilizes a non-cooperative game theory incorporating the alternating direction method of multipliers (ADMM) algorithm. To demonstrate the proposed framework, the P2P trading of four households (prosumers) that consists of rooftop PV, local energy storage (LES), and independent community energy storage (CES) is simulated. The objective is to prove the effectiveness of P2P trading in comparison with a framework without it. The MATLAB simulation results show that the system that utilizes P2P trading can reduce the daily overall cost of energy by 47.48 %, that is<em>,</em> from $28.85 (without P2P) to $15.15 (with P2P). This study demonstrated the benefits of P2P energy trading for prosumers and promoted the development of the energy market.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100636"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An agent-based modeling approach for simulating solar PV adoption: A case study of Irish dairy farms 模拟太阳能光伏应用的代理建模方法：爱尔兰奶牛场案例研究

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100653

Iias Faiud, Michael Schukat, Karl Mason

引用次数: 0

Optimization of thermal energy storage in phase change Material/Nano additive heat exchangers utilizing elliptical and circular tubes with and without fins 利用带鳍片和不带鳍片的椭圆管和圆管优化相变材料/纳米添加剂热交换器的热能储存

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100654

Subhan Ali Shaik , Praveen Kumar Nigam , S.K. Gugulothu

{"title":"Optimization of thermal energy storage in phase change Material/Nano additive heat exchangers utilizing elliptical and circular tubes with and without fins","authors":"Subhan Ali Shaik , Praveen Kumar Nigam , S.K. Gugulothu","doi":"10.1016/j.ref.2024.100654","DOIUrl":"10.1016/j.ref.2024.100654","url":null,"abstract":"<div><div>This study numerically investigates the enhancement of thermal energy storage systems using phase change materials (PCMs) combined with nano additives and finned tubes. The analysis compares elliptical and circular tubes with configurations of two or four fins to improve heat transfer efficiency. Finned elliptical tubes demonstrate a reduction in PCM melting time by up to 19 % at 50 °C, achieving faster melting compared to unfinned designs. Circular tubes with fins also exhibit a 12.6 % reduction in melting time, showing slightly higher thermal performance than elliptical tubes in certain conditions. The study considers different nano additives—graphene nanoplatelets (GnP), copper (Cu), copper oxide (CuO), and aluminum oxide (Al<sub>2</sub>O<sub>3</sub>)—to evaluate their impact on PCM heat transfer rates. Among these, GnP achieves the most effective thermal enhancement. The findings indicate that fin configuration, tube geometry, and nano additives significantly affect PCM melting and heat transfer dynamics. This research optimizes the design of PCM-based heat exchangers, contributing to more efficient and sustainable thermal energy storage solutions for various applications.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100654"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges and mitigation techniques in adaptive protection for microgrids: comprehensive review 微电网适应性保护方面的挑战和缓解技术：全面审查

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100652

A.S. Welankiwar , R.B. Sharma , B. Kumar

{"title":"Challenges and mitigation techniques in adaptive protection for microgrids: comprehensive review","authors":"A.S. Welankiwar , R.B. Sharma , B. Kumar","doi":"10.1016/j.ref.2024.100652","DOIUrl":"10.1016/j.ref.2024.100652","url":null,"abstract":"<div><div>Microgrids (MGs) are growing in popularity as a result of its benefits to the environment and economy, as well as minimal power losses and smaller infrastructure. In recent years, conventional power grids are being transformed into smart grids, with the establishment of MGs, which connects various units of distributed generation (DG), local energy storage devices and loads to distribution systems. The practical deployment of MG faces various technological obstacles. One of the most important difficulties in MG architecture is designing a reliable protection mechanism. The magnitude of fault current, active DG, two-way power flow, higher impedance value and communication network quality are the key problems in designing an effective protection approach for AC MGs. Due to its ability to overcome these issues and its capability for real time alternation of its protection settings in response to conditions and state of operation of power system, adaptive protection schemes under are gaining more attention from the researchers in AC MGs Protection. The past research works of adaptive protection are addressed and structured systematically in this review to enable researchers run literature studies and identify relevant research works more effectively.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100652"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prosumer networks – A key enabler of control over renewable energy resources 用户网络--控制可再生能源的关键因素

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100648

Adrian Florea , Lasse Berntzen , Maria Vintan , Dorel Stanescu , Daniel Morariu , Claudiu Solea , Ugo Fiore

{"title":"Prosumer networks – A key enabler of control over renewable energy resources","authors":"Adrian Florea , Lasse Berntzen , Maria Vintan , Dorel Stanescu , Daniel Morariu , Claudiu Solea , Ugo Fiore","doi":"10.1016/j.ref.2024.100648","DOIUrl":"10.1016/j.ref.2024.100648","url":null,"abstract":"<div><div>The global challenges of recent years have exacerbated the energy crisis and highlighted the need for reactive and resilient energy systems. This paper emphasises the role of collaborative networks of prosumers in exploiting renewable energy sources to achieve sovereignty over critical resources. A bibliometric study reveals significant discrepancies between countries in statutory energy policies for renewable energy integration and incentives to prosumerism. A dataset of 27 Romanian individual prosumers illustrates the differences in load profiles between residential and industrial prosumers in a temperate continental climate, highlighting the benefits and limits of increasing the share of renewable energy in the national energy system. The study shows the advantage of aggregators balancing production and consumption, provided enough storage capability is available. It also illustrates the evolution of Romanian prosumers, discussing key regulatory and technological factors, advantages, and barriers to collaboration. This research offers municipalities, public authorities, and infrastructure operators a path towards energy independence, in alignment with international efforts toward the adoption of renewable energy. The study provides valuable insights into the benefits and challenges of renewable energy integration, offering practical solutions for achieving energy independence. It also offers relevant information in the effort of legislative harmonization to enable efficient and secure integration of new actors in the electricity system, encouraging responsible prosumers and aggregators and discouraging opportunistic aggregation.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100648"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A precise and efficient K-means-ELM model to improve ultra-short-term solar irradiance forecasting 改进超短期太阳辐照度预报的精确高效 K-means-ELM 模型

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100645

Mengyu Li, Yong Li, Yongfa Diao

{"title":"A precise and efficient K-means-ELM model to improve ultra-short-term solar irradiance forecasting","authors":"Mengyu Li, Yong Li, Yongfa Diao","doi":"10.1016/j.ref.2024.100645","DOIUrl":"10.1016/j.ref.2024.100645","url":null,"abstract":"<div><div>To address the problems of intermittent and uncontrollable solar irradiance faced by grid-connected photovoltaic power plants, this paper proposes an ultra-short-term solar irradiance prediction model that combines K-means clustering with the Extreme Learning Machine (ELM). The K-means algorithm is first applied to cluster solar irradiance data from different seasons in Shanghai based on spatial similarity. Subsequently, the ELM algorithm is employed to train the model, significantly improving both prediction accuracy and training speed. Compared with the prediction accuracy of the model before clustering, the root-mean-square error (RMSE) of the clustered model is significantly reduced by 28.75 % in spring, and 0.30 %, 6.70 % and 5.92 % in summer, Autumn and winter, respectively. In addition, the model demonstrates stable predictive performance at different time resolutions (5, 10 and 15 minutes) with R2 values close to 1, confirming its accuracy and stability under small sample conditions. In terms of training speed, ELM’s training time is more than 100 times faster than Support Vector Regression (SVR) and significantly shorter than traditional models such as PSO-BP and Random Forest (RF), showing its great advantage in application scenarios that require fast response. Overall, the K-means-ELM model is able to accurately capture the overall trend and sudden changes in solar irradiance, which is of great application value for enhancing the efficiency and stability of solar power generation systems.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100645"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel hybrid spherical fuzzy multi-criteria decision-making approach to select the best hydroelectric power plant source in India 选择印度最佳水力发电厂来源的新型混合球形模糊多标准决策方法

IF 4.2

Renewable Energy Focus Pub Date : 2024-10-01 DOI: 10.1016/j.ref.2024.100650

Brajamohan Sahoo, Bijoy Krishna Debnath

{"title":"A novel hybrid spherical fuzzy multi-criteria decision-making approach to select the best hydroelectric power plant source in India","authors":"Brajamohan Sahoo, Bijoy Krishna Debnath","doi":"10.1016/j.ref.2024.100650","DOIUrl":"10.1016/j.ref.2024.100650","url":null,"abstract":"<div><div>Hydroelectric power plants (HPPs) play a crucial role in India’s energy portfolio by providing renewable energy and decreasing dependency on fossil fuels. HPPs assist in flood control, irrigation, and water management, thereby supporting agricultural and economic advancement. However, persistent challenges such as environmental consequences, habitat depletion, and resettlement complications impede project advancement. Striking a balance between these advantages and addressing social and environmental issues is essential for shaping India’s energy trajectory. In this manuscript to achieve these goals, the research paper incorporates the opinions of three decision-makers along with 20 criteria. Each criterion is associated with 5 alternatives and further categorized as beneficial and non-beneficial. To determine the optimal power plant, a novel hybrid Multi-Criteria Decision Making (MCDM) method is employed within a spherical fuzzy environment to handle the uncertainties occurred in the HPPs. This paper also introduces a novel formula for calculating the weights of decision-makers and a novel score function for converting spherical fuzzy numbers into crisp values. Initially to examine the interrelationship between these criteria the spherical fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method is utilized. The weight of the criteria is determined using the spherical fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) method, followed by determining the rank of the alternatives using the novel spherical fuzzy Multiple Criteria Ranking by Alternative Trace (MCRAT) method. Subsequently, the alternative with the highest score value is determined as the optimal choice for the hydroelectric power plant source in India. Furthermore, this research paper also discusses sensitivity analysis, comparative analysis, and the managerial implications of this study.</div></div>","PeriodicalId":29780,"journal":{"name":"Renewable Energy Focus","volume":"51 ","pages":"Article 100650"},"PeriodicalIF":4.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0