IF 9 1区工程技术

Energy Pub Date : 2024-11-05 DOI: 10.1016/j.energy.2024.133716

Ruixiu Ma, Hongqing Feng, Shuo Zhang, Lin Wang, Zhenze Niu, Xiaofan Chen

{"title":"Study on the effect of low carbon alcohol gasoline stratified injection strategy on engine knock combustion under lean burn conditions","authors":"Ruixiu Ma, Hongqing Feng, Shuo Zhang, Lin Wang, Zhenze Niu, Xiaofan Chen","doi":"10.1016/j.energy.2024.133716","DOIUrl":"10.1016/j.energy.2024.133716","url":null,"abstract":"<div><div>This paper focuses on the \"oxygenated fuel concentration stratified lean burn to improve combustion and thermal efficiency\" as a starting point and investigates the effects of combustion of high-octane oxygenated fuels in gasoline engines under overall lean burn conditions by using different injection strategies on the performance and knock combustion. The study shows that: the flame during the knock shows the characteristics of spontaneous combustion flame and normal flame collision along the cylinder wall propagation alternately, followed by local deflagration and auto-ignition point to the center of the cylinder, and then turned to the center of the surrounding flow of disordered stacked high-speed fluctuations. Combustion under concentration stratification manifests phase lag, with heat release characterized by either a single-peak continuous pattern or a double-peak staged pattern, which interchange dynamically. The single-variable method was used to obtain the optimal working condition for concentration stratification: n-butanol volume ratio of 15 %, secondary injection moment of 150°CA BTDC and injection ratio of 15 %, which improves the thermal efficiency by about 3.2 % and reduces the intensity of knock by about 20.7 %. When the proportion of ethanol replacement increases, the thermal efficiency maximum increase is about 5.2 %, but the knock situation tends to be serious.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133716"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661708","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}

引用次数: 0

A three-stage framework for optimal site selection of hybrid offshore wind-photovoltaic-wave-hydrogen energy system: A case study of China 海上风能-光伏-波能-氢能混合能源系统最佳选址的三阶段框架：中国案例研究

IF 9 1区工程技术

Energy Pub Date : 2024-11-05 DOI: 10.1016/j.energy.2024.133723

Jicheng Liu , Xuying Ma , Chaoran Lu

{"title":"A three-stage framework for optimal site selection of hybrid offshore wind-photovoltaic-wave-hydrogen energy system: A case study of China","authors":"Jicheng Liu , Xuying Ma , Chaoran Lu","doi":"10.1016/j.energy.2024.133723","DOIUrl":"10.1016/j.energy.2024.133723","url":null,"abstract":"<div><div>The integration of offshore wind-photovoltaic-wave-hydrogen production is a sustainable energy development concept that could smooth the intermittency of renewable energy generation, reduce energy abandonment, and improve energy efficiency. However, the successful deployment of a hybrid offshore wind-photovoltaic-wave-hydrogen energy system is premised on the selection of an appropriate location, which necessitates a robust framework to support this decision. This study proposes a three-stage decision framework based on Geographic Information System and multi-criteria decision-making to determine the optimal location from macro and micro perspectives. To ensure the effectiveness of site selection, it develops a comprehensive criteria system, including exclusion criteria and evaluation criteria, encompassing geographical, resource, economy, risk, and sustainable potential aspects. Then, the spatial simulation of alternative sites is conducted according to exclusion criteria to rule out infeasible alternative sites. The multi-criteria decision-making in the third stage is performed in a rough-fuzzy environment to eliminate the uncertainty in decision-making. Finally, a case study is conducted on Hainan Island, China. The results show that the western sea area of Dongfang City is the optimal location to deploy the hybrid offshore wind-photovoltaic-wave-hydrogen energy system. The proposed framework offers a reference for practical offshore renewable energy project implementation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133723"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661757","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}

引用次数: 0

Game-theoretic optimization strategy for maximizing profits to both end-users and suppliers in building rooftop PV-based microgrids 基于博弈论的优化策略，在建设屋顶光伏微电网时实现终端用户和供应商的利润最大化

IF 9 1区工程技术

Energy Pub Date : 2024-11-04 DOI: 10.1016/j.energy.2024.133715

Jianing Luo , Karthik Panchabikesan , Kee-hung Lai , Timothy O. Olawumi , Modupe Cecilia Mewomo , Zhengxuan Liu

{"title":"Game-theoretic optimization strategy for maximizing profits to both end-users and suppliers in building rooftop PV-based microgrids","authors":"Jianing Luo , Karthik Panchabikesan , Kee-hung Lai , Timothy O. Olawumi , Modupe Cecilia Mewomo , Zhengxuan Liu","doi":"10.1016/j.energy.2024.133715","DOIUrl":"10.1016/j.energy.2024.133715","url":null,"abstract":"<div><div>Rooftop photovoltaic (PV) with battery storage offers a promising avenue for enhancing renewable energy integration in buildings. Creating microgrids with backup power from closely spaced solar buildings is widely recognized as an effective strategy. Nevertheless, a notable gap exists between the preferences and priorities of electricity consumers residing in these solar-powered buildings and the interests of microgrid investors. The electricity consumers focus on decreasing the levelized cost of energy, while the microgrid investors focuses on achieving high net profit. This study proposes a novel game theory-based microgrid optimal design approach for designing power generations of the microgrid system and PV installation with battery storage on the building roofs, considering the different requirements and interests of electricity consumers and microgrid investors. The design optimization is framed around the Nash Equilibrium of the Stackelberg game, incorporating a bi-level optimization cycle that addresses the conflict and cooperation of electricity consumers and microgrid investors. A win-win situation can be yielded using the developed optimal design approach compared to conventional optimal design approaches. The results demonstrate a significant improvement, with the microgrid power generation yielding a large net profit (up to 0.08 USD/kWh) and concurrently reducing the levelized cost of energy by approximately 14 %.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133715"},"PeriodicalIF":9.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661758","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}

引用次数: 0

Deep reinforcement learning based resource allocation for electric vehicle charging stations with priority service 基于深度强化学习的电动汽车充电站优先服务资源分配

IF 9 1区工程技术

Energy Pub Date : 2024-11-04 DOI: 10.1016/j.energy.2024.133637

Aslinur Colak , Nilgun Fescioglu-Unver

引用次数: 0

The apparatus for atmospheric water harvesting in an arid climate - Prototype design and testing in laboratory conditions 干旱气候下的大气集水装置--原型设计和实验室测试

IF 9 1区工程技术

Energy Pub Date : 2024-11-04 DOI: 10.1016/j.energy.2024.133692

Vladimír Zmrhal , Tomáš Matuška , Bořivoj Šourek

{"title":"The apparatus for atmospheric water harvesting in an arid climate - Prototype design and testing in laboratory conditions","authors":"Vladimír Zmrhal , Tomáš Matuška , Bořivoj Šourek","doi":"10.1016/j.energy.2024.133692","DOIUrl":"10.1016/j.energy.2024.133692","url":null,"abstract":"<div><div>The paper describes the development of a prototype system for water extraction from the air. The aim was to develop a device that allows one to autonomously obtain, without the need for external energy, an annual average of 100 L of water per day during extreme desert conditions. In this paper, a mathematical model simulating the operation of the unit for extracting water from the air in any climatic conditions is presented. Psychrometric calculations for different climatic conditions were carried out for two basic principles: condensation and sorption. The analyses confirmed that devices based on the condensation of water vapour from the air can only be used to a limited extent in extreme desert conditions. The average water production of a condensation-based system is only 20 l/day in Riyadh, with an air flow rate of 2000 m<sup>3</sup>/h. A unit with a desiccant wheel and an integrated heat pump was designed for water harvesting from the air. The prototype of the unit was tested in a climate chamber with the possibility of adjusting the climatic conditions and the presented mathematical model was experimentally verified. The final prototype designed for a nominal outdoor air flow rate of 2000 m<sup>3</sup>/h will produce 168 l of water per day under dry desert conditions (Riyadh) with continuous operation. The verification of the computational model allows one to determine the real water production and the required unit performance. An analyses of energy requirements and evaluation of levelized cost of water (LCOW) have been performed. Sorption unit has lower LCOW in target arid desert climate and electricity prices under 0.1 EUR/kWh compared to direct condensation technology.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133692"},"PeriodicalIF":9.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661705","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}

引用次数: 0

Performance analysis of coupling vapor compression cycle to freeze and humidification-dehumidification based high-performance desalination 基于高性能海水淡化的蒸汽压缩循环与冷冻和加湿除湿耦合的性能分析

IF 9 1区工程技术

Energy Pub Date : 2024-11-03 DOI: 10.1016/j.energy.2024.133697

Trevor Hocksun Kwan, Ding Zhang, Ziyang Chen, Zhixin Liao, Zhuohang Zhang, Jiale Huang

{"title":"Performance analysis of coupling vapor compression cycle to freeze and humidification-dehumidification based high-performance desalination","authors":"Trevor Hocksun Kwan, Ding Zhang, Ziyang Chen, Zhixin Liao, Zhuohang Zhang, Jiale Huang","doi":"10.1016/j.energy.2024.133697","DOIUrl":"10.1016/j.energy.2024.133697","url":null,"abstract":"<div><div>Although freeze desalination has a lower latent heat of ice formation (334 kJ/kg), its energy performance is still insufficient because of energy loss associated with not using the waste heat of the active cooling system. To address this challenge, this research introduces an innovative hybrid desalination system that synergistically combines freeze, humidification-dehumidification (HDH), and vapor compression cycle (VCC) technologies. The novelty of our approach lies in simultaneously leveraging the VCC's cooling and thermal energy for freeze and dehumidification processes, respectively, which greatly increases the desalination energy performance over only achieving freeze desalination. A thermodynamic model is developed to analyze the proposed system, and a series of parametric analyses are carried out to determine the system configuration that obtains the highest performance. Ultimately, a higher ice recovery rate of 20 % offers the best total desalination performance of only 63 Wh/kg. Furthermore, the HDH desalination unit can make up the for loss of freeze desalination performance at higher feed seawater temperatures, ensuring robust performance even under high-temperature conditions.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133697"},"PeriodicalIF":9.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661614","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}

引用次数: 0

Thermodynamic and economic analysis of a trans-critical CO2 energy storage system integrated with ORC and solar energy 集成 ORC 和太阳能的跨临界二氧化碳储能系统的热力学和经济分析

IF 9 1区工程技术

Energy Pub Date : 2024-11-03 DOI: 10.1016/j.energy.2024.133667

Zhongyan Liu, Hongwei Guan, Xu Jin, Wei Su, Jiawei Shao, Jing Fan, Hao Zhang, Heng Li, Dahan Sun

{"title":"Thermodynamic and economic analysis of a trans-critical CO2 energy storage system integrated with ORC and solar energy","authors":"Zhongyan Liu, Hongwei Guan, Xu Jin, Wei Su, Jiawei Shao, Jing Fan, Hao Zhang, Heng Li, Dahan Sun","doi":"10.1016/j.energy.2024.133667","DOIUrl":"10.1016/j.energy.2024.133667","url":null,"abstract":"<div><div>In this paper, a CO<sub>2</sub> energy storage system that integrates an organic Rankine cycle (ORC) with solar energy is proposed to support grid peaking, enhance the efficient use of renewable energy sources, and optimize system performance. A thermodynamic analysis of the system has been performed and the performance under different operating models is evaluated. In model A, the energy storage efficiency of the system is 77.28 %, the solar energy conversion efficiency is 30.7 %, and the exergy efficiency is 66.1 %. In models B and C, the energy storage efficiency is 76.72 % and 80 %, the solar conversion efficiency is 32.2 % and 31.5 %, and the exergy efficiency is 66.8 % and 65.2 %, respectively. To evaluate the thermodynamic and economic performance of the system, the effect of the decision variables on the system performance is analyzed. Then, the NSGA-II optimization algorithm was applied to optimize the system, and the TOPSIS method was used to evaluate the optimization results. The results show that the energy storage efficiencies under optimal operating conditions are 78.8 %, 77.5 %, and 81.1 % for operating models A, B, and C, respectively. In addition, the levelized cost of storage (LCOS) for operating models A, B, and C are 0.307$/(kW∙h), 0.316$/(kW∙h), and 0.318$/(kW∙h), respectively.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133667"},"PeriodicalIF":9.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661673","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}

引用次数: 0

Cooperative energy and reserve trading strategies for multiple integrated energy systems based on asymmetric nash bargaining theory 基于非对称纳什讨价还价理论的多综合能源系统能源和储备合作交易策略

IF 9 1区工程技术

Energy Pub Date : 2024-11-03 DOI: 10.1016/j.energy.2024.133703

Biao Wu, Shaohua Zhang, Chenxin Yuan, Xian Wang, Fei Wang, Shengqi Zhang

{"title":"Cooperative energy and reserve trading strategies for multiple integrated energy systems based on asymmetric nash bargaining theory","authors":"Biao Wu, Shaohua Zhang, Chenxin Yuan, Xian Wang, Fei Wang, Shengqi Zhang","doi":"10.1016/j.energy.2024.133703","DOIUrl":"10.1016/j.energy.2024.133703","url":null,"abstract":"<div><div>To tackle the issues of cooperative energy and reserve trading as well as fair cooperative benefit allocation among multiple integrated energy systems (IESs), this paper proposes a two-stage cooperative energy and reserve trading model for multiple integrated energy systems (MIESs). Specifically, at day-ahead stage, MIESs aim to maximize their overall profit through cooperative electricity and heat trading. At real-time stage, MIESs trade demand response (DR) reserve to minimize the overall wind power deviation compensation cost. To reduce the complexity in model solution, we transform the model into two sub-problems. In sub-problem 1, we determine the energy and DR reserve trading volumes. Here, distributionally robust optimization (DRO) is utilized to manage the severe uncertainties in wind power distribution. In sub-problem 2, based on the outcomes from sub-problem 1, we settle the energy and DR reserve trading prices. To ensure the fairness of benefit allocation, asymmetric Nash bargaining theory is applied to assess each IES's contributions in trading volumes and profit growth. Interval adaptive alternating direction method of multipliers (IA-ADMM) is used to preserve each IES's privacy. Finally, simulation results demonstrate that, compared with independent operation, cooperative trading among MIESs increases profits for all IESs, thereby motivating their participation in cooperative trading.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133703"},"PeriodicalIF":9.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661662","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}

引用次数: 0

How does green fiscal policy promote the synergy of pollution mitigation and carbon reduction? Evidence from China 绿色财政政策如何促进污染缓解与碳减排的协同作用？来自中国的证据

IF 9 1区工程技术

Energy Pub Date : 2024-11-02 DOI: 10.1016/j.energy.2024.133700

Bangzhu Zhu , Gang Chen , Ping Wang

{"title":"How does green fiscal policy promote the synergy of pollution mitigation and carbon reduction? Evidence from China","authors":"Bangzhu Zhu , Gang Chen , Ping Wang","doi":"10.1016/j.energy.2024.133700","DOIUrl":"10.1016/j.energy.2024.133700","url":null,"abstract":"<div><div>This study constructs a comprehensive analysis model, utilizing data from Chinese provinces from 2014 to 2021 as the sample to explore how green fiscal policy (GFP) influences the synergy of pollution mitigation and carbon reduction (SPMCR). We collect data on multiple pollutants and greenhouse gas emissions and utilize a composite system model to assess the SMPCR in various regions of China. The findings show that green fiscal policy has significantly contributed to fostering the SPMCR. Industrial upgrading, green innovation, and energy optimization are effective channels for green fiscal policy to achieve SPMCR. Green fiscal policy is more conducive to promoting SPMCR in China's eastern and central regions, demonstrating a gradient of “east > central > west”. Environmental regulation and green fiscal policy synergistically promote SPMCR, with the positive impact of green fiscal policy being more pronounced in regions with stringent environmental regulations. The green fiscal policy presents more positive nonlinear effects on SPMCR when the level of green finance and informatization is higher. After a series of rigorous robustness tests, the main findings are consistent and reliable. In addition, we provide policy recommendations for developing countries to promote pollution and carbon reduction, thus fostering sustainable development.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133700"},"PeriodicalIF":9.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661666","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}

引用次数: 0

Techno-economic analysis of hybrid renewable energy systems for cost reduction and reliability improvement using dwarf mongoose optimization algorithm 利用矮獴优化算法对混合可再生能源系统进行技术经济分析，以降低成本并提高可靠性

IF 9 1区工程技术

Energy Pub Date : 2024-11-02 DOI: 10.1016/j.energy.2024.133653

Saleh Al Dawsari , Fatih Anayi , Michael Packianather

{"title":"Techno-economic analysis of hybrid renewable energy systems for cost reduction and reliability improvement using dwarf mongoose optimization algorithm","authors":"Saleh Al Dawsari , Fatih Anayi , Michael Packianather","doi":"10.1016/j.energy.2024.133653","DOIUrl":"10.1016/j.energy.2024.133653","url":null,"abstract":"<div><div>The global energy crisis, particularly in isolated and remote regions, has increased interest in renewable energy sources (RESs) to meet growing energy demands. Integrating RESs with energy storage systems offers a promising solution to mitigate fluctuations and intermittency, but concerns about cost and reliability remain. This study explores the optimal design of various microgrid configurations, combining photovoltaic (PV), wind turbine (WT), battery energy storage system (BESS), and diesel generator (DG) systems for Najran city, Saudi Arabia, via real-world meteorological and load demand data. The Dwarf Mongoose Optimization Algorithm (DMOA), alongside the salp swarm algorithm (SSA) and whale optimization algorithm (WOA), was applied to minimize the levelized cost of energy (LCOE) while improving system reliability. The results demonstrate that the PV/BESS configuration, although cost-effective with an LCOE of 0.038 USD/kWh, fail to meet reliability constraints with a loss of power supply probability (LPSP) of 0.679. In contrast, the PV, WT, BESS, and DG configurations achieved an LPSP of 1.9 × 10^--8% with an LCOE of 0.199 USD/kWh, offering a robust and reliable solution for the region's energy needs. This paper presents a novel application of the DMOA for optimizing hybrid renewable energy systems, demonstrating its effectiveness in achieving a balance between cost and reliability. This strategy provides a viable approach for sustainable energy planning in similar regions facing energy challenges.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133653"},"PeriodicalIF":9.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661668","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}

引用次数: 0

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