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LONGTERM OPTIMIZATION MODEL FOR THE GAMBIA’S ENERGY TRANSITION 冈比亚能源转型的长期优化模型
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.412
Moses S. Bass, A. López-Agüera
The energy sector in the Gambia is entirely dependent on imported petroleum products for electricity generation. The country is not only vulnerable to global oil market disruptions but also has an unstable electricity supply system. As of 2020, a huge portion of the country’s electricity demand remains unsatisfied. Following recent government intervention to improve the energy system, this paper examined the optimal capacity expansion planning using the open-source energy modelling system (OSeMOSYS) on a time horizon of thirty years, (2020-2050). The three scenarios studied include the business as usual (BAU), which reflects the continuation with the existing power generation pattern, the second scenario (roadmap) aligns with the Gambia’s strategic electricity roadmap (2021-2040) and the third scenario considered high renewable penetration in the energy mix. Contrary to policy makers expectations, renewables accounted for only 19.2% of electricity generation in the roadmap by 2030 and 11% by 2050. CO2 emission in 2050 reduced by 31% in the roadmap scenario and 71% in the new scenario. The global cost of the new scenario is 29% more expensive than the roadmap scenario but becomes more competitive than the roadmap in terms of energy cost when the capital investment is fully subsidised in all scenarios.
冈比亚的能源部门完全依赖进口石油产品来发电。该国不仅容易受到全球石油市场动荡的影响,而且电力供应系统也不稳定。截至2020年,该国很大一部分电力需求仍未得到满足。在最近政府干预改善能源系统之后,本文使用开源能源建模系统(OSeMOSYS)在30年(2020-2050)的时间范围内研究了最优产能扩张规划。研究的三种情景包括照常营业(BAU),反映了现有发电模式的延续;第二种情景(路线图)与冈比亚的战略电力路线图(2021-2040)保持一致;第三种情景考虑了可再生能源在能源结构中的高渗透率。与政策制定者的预期相反,到2030年可再生能源仅占发电量的19.2%,到2050年仅占11%。2050年的二氧化碳排放量在路线图情景下减少31%,在新情景下减少71%。新方案的全球成本比路线图方案高29%,但当所有方案的资本投资都得到充分补贴时,就能源成本而言,新方案比路线图方案更具竞争力。
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引用次数: 0
Modulating Functions Analysis For Wireless Data Transmission Because Of Advanced Sensors In Energy-Saving Process Of Washing 洗衣节能过程中先进传感器无线数据传输调制功能分析
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.453
J. Alan Calderón, Julio C. Tafur S., E. Benjamín Barriga, J. Alencastre, Alex Quispe, Alan Ccarita
The vibration measurement of flows in transient or steady-state is a very complicated task. Moreover, to correlate it with a temperature process is quite important according to get information regarding molecular kinetic energy of thermal sources (such as flow measurement used in cleaning tasks) according to achieve heating transfer information of a thermal process. However, there is a trouble concerning the transduction stage in the measurement while it is not a transducer designed algorithm as a consequence of a mathematical model, which correlates the calibration data with the theoretical model of the heating/vibration transfer. For this reason, in this research is proposed intelligent sensors/transducers, which are based on Anodic Aluminium Oxide (AAO) and a mathematical procedure of the measurement instrumentation according to adaptive coefficients in the Modulating Functions strategies analysis and getting optimal measurements. In this research is explained and analysed the temperature measurement process and the transduction process as the strict correlation of the calibration of the temperature/vibration sensor. For this reason, there were evaluated different transducers and the temperature/vibration reference for the calibration. The based on nanostructures temperature sensors are designed by specific and complex procedures according to achieve quite operation range, robustness and precision. Moreover, the transduction can be obtained through different electrical answer variables such as voltage, electrical current or capacitance and possible to send by wireless mechanisms and protocols to the main control system. Therefore, the evaluation of the designed advanced sensor performance was achieved by the vibration and temperature measurement of the water surface of a ultrasound washing machine, for which the designed sensor enhances energy-saving of the washing process.
瞬态或稳态流动的振动测量是一项非常复杂的工作。此外,根据获得热过程的传热信息,获得热源(如清洗任务中使用的流量测量)的分子动能信息,将其与温度过程关联起来是非常重要的。然而,在测量中的转导阶段存在一个麻烦,因为它不是传感器设计算法的数学模型的结果,它将校准数据与加热/振动传递的理论模型相关联。为此,本研究提出了一种基于阳极氧化铝(AAO)的智能传感器/换能器,该传感器/换能器的测量仪器的数学程序是根据调制函数策略中的自适应系数进行分析并获得最优测量值。本文对温度/振动传感器的校准过程中作为严格相关的温度测量过程和转导过程进行了说明和分析。为此,评估了不同的换能器和温度/振动基准进行校准。基于纳米结构的温度传感器是根据特定的复杂程序设计而成的,具有较好的工作范围、鲁棒性和精度。此外,可以通过电压、电流或电容等不同的电气应答变量来获得转导,并可以通过无线机制和协议发送到主控制系统。因此,通过对超声波洗衣机水面的振动和温度测量来评价所设计的先进传感器的性能,从而提高了洗涤过程的节能效果。
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引用次数: 0
STATCOM Effect on Voltage Profile of a Distributed Network Considering Two Different Measurement Positions 考虑两个不同测量位置时,STATCOM对分布式电网电压分布的影响
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.380
E.P. Simonetti, S. Simonetti, L. Ribeiro, D. Simonetti
he voltage profile of low voltage distribution systems must be in accordance to national regulations, usually given by a range in which voltage needs to be. Along a day, usually voltage fluctuates according to load characteristics, especially power level and power factor, and in some situations can overpass minimum acceptable values. This paper studies the influence of the power factor measurement point governing a DSTATCOM, over the feeder voltage profile. By simulation, it was saw that connecting the D-STATCOM at the end of the system, but correcting power factor saw by the initial pole, a better voltage compliance is obtained.
低压配电系统的电压分布必须符合国家规定,通常规定了一个电压需要的范围。在一天中,电压通常会根据负载特性,特别是功率电平和功率因数而波动,在某些情况下可能会超过最小可接受值。本文研究了控制DSTATCOM的功率因数测量点对馈线电压分布的影响。仿真结果表明,在系统末端连接D-STATCOM,通过初始极点校正功率因数,可获得较好的电压顺应性。
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引用次数: 0
Modeling and optimization of biogas production in a batch bioreactor 间歇式生物反应器中沼气生产的建模与优化
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.319
Tina Kegl, E. Torres-Jiménez
Ever increasing demands for renewable energy sources are the driving force for the development of waste management technologies such as anaerobic digestion (AD) technology. For AD process understanding and optimization the numerical simulations provide a useful tool. Therefore, in this work, the main attention is focused on the development of an efficient and stable optimization approach. The optimization procedure is coupled with a suitable mechanistically inspired selfdeveloped BioModel. For BioModel calibration, a special procedure was developed which incorporates the used BioModel, a sensitivity analysis, and a gradient-based optimization algorithm. The results of numerical simulation, obtained by the AD of various animal manures in a batch lab-scale bioreactor, confirm the reliability of BioModel and the efficiency of the presented calibration procedure. Furthermore, the results of AD process optimization show that the biogas quantity and quality as well as energy used up for bioreactor heating can be improved essentially when amount of added bacteria, temperature and pH values are optimized properly.
对可再生能源日益增长的需求推动了厌氧消化(AD)技术等废物管理技术的发展。数值模拟为AD工艺的理解和优化提供了有用的工具。因此,在本工作中,主要关注的是开发一种高效、稳定的优化方法。优化过程与合适的机械启发自行开发的生物模型相结合。对于生物模型的校准,开发了一个特殊的程序,该程序结合了使用的生物模型,灵敏度分析和基于梯度的优化算法。通过在实验室规模的间歇式生物反应器中对各种动物粪便进行AD的数值模拟,验证了biommodel的可靠性和所提出的校准程序的有效性。此外,AD工艺优化结果表明,适当优化细菌添加量、温度和pH值,可以显著提高生物反应器的沼气数量和质量,以及生物反应器加热消耗的能量。
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引用次数: 0
Analytical study of the absorber performance of a Hygroscopic cycle for low concentrations of LiBr solutions 低浓度溴化锂溶液吸湿循环吸收器性能的分析研究
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.338
Malena Potesta González, Roberto Martínez Pérez, Andrés Meana Fernández, Juan M. González-Caballín Sánchez, Francisco J. Rubio Serrano, A. J. Gutiérrez Trashorras
Nowadays, higher ambient temperatures and water scarcity, primarily due to climate change, represent a challenge for the refrigeration systems of traditional thermodynamic power cycles. The novel Hygroscopic Cycle Technology arises as a solution to mitigate those drawbacks by means of hygroscopic compounds, which lead to a condensation process by absorption in a mixing chamber, called absorber. Consequently, heat rejection can be achieved at higher cold sink temperatures in a closed loop, avoiding water consumption. In this work, the influence of the concentration of the hygroscopic salt LiBr in the condensation process inside the absorber, key element of the cycle, has been analyzed with EES software. The analysis is divided into very low (0% to 0.01%) and low (0.01% to 5%) concentrations of LiBr-H2O solutions. Absolute pressure at the absorber ranges between 3 kPa and 21 kPa. Results show that properties of very low concentration mixtures can be approximated to those of pure water, showing errors lower than 0.11%. As concentration rises from 0.01 to 5 % specific enthalpy decreases, leading to lower consumption of the refrigeration system of the cycle.
如今,由于气候变化导致的环境温度升高和水资源短缺,对传统的热力动力循环制冷系统提出了挑战。新的吸湿循环技术作为一种解决方案而出现,通过吸湿化合物来减轻这些缺点,吸湿化合物导致在称为吸收器的混合室中吸收冷凝过程。因此,在闭环中可以在较高的冷沉温度下实现散热,避免了水的消耗。本文利用EES软件分析了吸湿盐LiBr浓度对吸收塔内冷凝过程的影响。分析分为极低浓度(0%至0.01%)和低浓度(0.01%至5%)的lib - h2o溶液。吸收器的绝对压力在3kpa到21kpa之间。结果表明,极低浓度混合物的性质与纯水近似,误差小于0.11%。当浓度从0.01上升到5%时,比焓降低,导致制冷系统的循环能耗降低。
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引用次数: 1
Efficient utilization of solar PV for corporate building in Riyadh, Saudi Arabia 沙特阿拉伯利雅得企业建筑太阳能光伏的高效利用
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.232
Fahad Saeed Alharthi, A. Alamoud
This paper presents a case study for rooftop PV system mounted on corporate building of Saudi Electricity Company (SEC) HQ with a capacity of 277KWp. By collecting the generation data of the PV system along with the electrical loads of the building for the year 2021, the data showed that the amount of energy produced from the system, which was directly fed to the loads is about 404.8 MWh. Accordingly, the contribution rate of the PV system generation to energy consumption was calculated to be about 15.7% of the loads of the entire building, which totaled about 2547.8 MWh. The study showed that there is an excess of electrical energy produced from these solar panels. The system is programmed through the inverter to keep the production of solar panels equal or less than the electrical loads which is connected to due to the absence of the regulation for connecting PV systems with the electric grid at that time. The excess energy of PV generation was calculated as 478.5 MWh. Hence, the surplus energy is 69.1 MWh representing approximately 15% of the calculated PV generation. The study covered the economic perspective for the system by estimating the levelized cost of energy and payback period to be LCOE= 0.33 SR/kWh = 0.088 USD/kWh and Payback period= 23.9 years respectively.
本文介绍了沙特电力公司(SEC)总部办公楼屋顶光伏系统的案例研究,该系统容量为277KWp。通过收集2021年光伏系统的发电数据以及建筑物的电力负荷,数据显示,该系统产生的直接馈送给负荷的能量约为404.8兆瓦时。据此计算,光伏发电对能耗的贡献率约为整个建筑负荷的15.7%,总计约为2547.8 MWh。研究表明,这些太阳能电池板产生的电能过剩。该系统通过逆变器进行编程,以保持太阳能电池板的产量等于或小于所连接的电力负荷,因为当时没有将光伏系统与电网连接的规定。光伏发电的剩余能量计算为478.5 MWh。因此,剩余能量为69.1兆瓦时,约占计算光伏发电量的15%。本研究从经济角度对该系统进行了分析,预计该系统的平准化能源成本和投资回收期分别为LCOE= 0.33 SR/kWh = 0.088 USD/kWh,投资回收期为23.9年。
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引用次数: 0
A First Approach on the Impact of Distributed Generation and Fault Impedance on Studies on domain of frequency of Voltage Sags 分布式发电和故障阻抗对电压跌落频率域研究的影响初探
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.311
A. Ramos, A. J. Batista, R. Leborgne, E. G. Domingues, W. Calixto
An analysis of the distributed generation (DG) and fault impedance on studies of voltage sags caused by system faults is presented on domain of frequency. The simulation of 62 case studies of phase-to-ground faults on 13.8, 69, 138 and 230 kV transmission lines were performed and the voltage of a 380 V sensitive industrial busbar client was monitored. These lines are part of the electrical system of the city of Goiania, Brazil. For each case study, different fault positions and impedance fault were simulated by considering different DG levels connected to the consumer busbar. Long-term simulation scenarios were obtained by the Monte Carlo method and analyzed based on their cumulative distribution functions and probability density curves of voltage sags. This is one major contribution of this work.
在频率域上对系统故障引起的电压跌落进行了分析,分析了分布式电源和故障阻抗。对13.8、69、138和230 kV输电线路的62例相地故障进行了仿真研究,并对380 V敏感工业母线客户端电压进行了监测。这些线路是巴西戈亚尼亚市电力系统的一部分。对于每个案例研究,通过考虑连接到用户母线的不同DG电平,模拟了不同的故障位置和阻抗故障。通过蒙特卡罗方法获得了长期模拟情景,并根据其累积分布函数和电压跌落概率密度曲线进行了分析。这是这项工作的一个主要贡献。
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引用次数: 0
Battery storage technology optimisation for Ukrainian War Refugees Emergency Shelters 乌克兰战争难民紧急避难所的电池存储技术优化
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.350
M. Bělík
The paper deals with optimisation of energy storage systems technology for emergency shelters (tiny houses) for Ukrainian War refugees. Huge number of Ukrainian citizens lost their houses or had to leave their homes. These refugees increase population in the rest of Ukraine what escalates problems with accommodation and integration into native communities. Emergency living in communal properties has unpleasant influence on the communities and is acceptable just for limited period. It becomes important to build new quarters or urban areas using cheap but energy efficient technologies. This research is based on real shelter project realised between Ukrainian non-government organisation Synergy and German development agency weChange. Main task of this paper is optimisation of energy strategy in community consisting of hundreds or thousands units and called shelter city. Solution of one single tiny house with implemented RES is task deeply evaluated in several projects, but we must take into account cooperation of large amount of units to limit total influence on Ukrainian distribution and transmission networks. Ukrainian infrastructure was already in unpleasant state before war and new connections of these consumers would dramatically overload existing infrastructure. This task is yet more complicated in nowadays war conditions, where crucial parts of the networks are being repeatedly damaged. From this point of view, it is essential to design the shelter community like consumer o prosumer with perfectly balanced load and production chart. The shelters should be built in passive standard to achieve minimal acquisition and operational costs. Also very efficient but cheap energy storage system must be integrated on the level of particular shelter or entire shelter city. Influence of various battery technologies using different coupling schemes is being discussed. AC coupling, DC coupling with intermediate circuit or PV generator circuit are tuned for specific load charts to optimise the influence on distribution network.
本文讨论了乌克兰战争难民紧急避难所(小房子)的储能系统技术优化。大量乌克兰公民失去了房屋,或者不得不离开家园。这些难民增加了乌克兰其他地区的人口,加剧了住宿和融入当地社区的问题。在公共财产中紧急居住对社区有不良影响,只是在有限的时间内是可以接受的。使用廉价但节能的技术建造新住宅区或城区变得非常重要。这项研究基于乌克兰非政府组织Synergy和德国发展机构weChange之间实现的真实避难所项目。本文主要研究的是由数百个或数千个单元组成的住房城市的能源策略优化问题。在几个项目中对单个微型住宅的解决方案进行了深入评估,但我们必须考虑到大量单位的合作,以限制对乌克兰配电和输电网络的总体影响。乌克兰的基础设施在战前就已经处于糟糕的状态,这些消费者的新连接将大大超载现有的基础设施。在当今的战争条件下,这项任务更加复杂,因为网络的关键部分正在反复遭到破坏。从这个角度来看,必须将住房社区设计为消费者-产消者,并使其负荷和生产图表完美平衡。这些掩体应采用被动标准建造,以实现最低的购置和运营成本。此外,高效而廉价的能源储存系统必须集成在特定的庇护所或整个庇护所城市的层面上。讨论了采用不同耦合方案的各种电池技术的影响。根据具体负荷图对交流耦合、直流耦合与中间回路或光伏发电回路进行调整,以优化对配电网的影响。
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引用次数: 0
On Single-Input Dual-Output (SIDO) DC/DC Multi-Port Converters for DC Microgrid Applications 用于直流微电网应用的单输入双输出(SIDO) DC/DC多端口转换器
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.438
H. Martínez-García, Encarna García-Vílchez
This paper proposes the use of linear-assisted switching power converters in the context of single-inductor dual-output (SIDO) for microgrids (MG) applications. By combining a DC/DC ripple-controlled switching power converter with the respective voltage linear regulators at each output, improved performance in terms of load and line regulations is obtained. To achieve that aim, a current-steering switching policy is proposed, together with a resource-aware circuit implementation. The ripple-based hysteretic control results in variable switching frequency to guarantee critical conduction mode (boundary of CCM and DCM).
本文提出了在微电网(MG)应用的单电感双输出(SIDO)背景下使用线性辅助开关电源变换器。通过将DC/DC纹波控制开关电源变换器与每个输出端的电压线性稳压器相结合,可以提高负载和线路调节的性能。为了实现这一目标,提出了一种电流转向开关策略,以及一种资源感知电路的实现。基于纹波的迟滞控制使开关频率可变,从而保证临界导通模式(CCM和DCM的边界)。
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引用次数: 0
Phase Identification in Smart Grids – Case Study 智能电网中的相位识别-案例研究
Q4 Energy Pub Date : 2023-07-01 DOI: 10.24084/repqj21.256
Lluc Crespí-Castañer, M. Roca, J. Rosselló, Lluís Juncosa, Vicente Canals
. A widespread problem of the electricity distribution system is determining to which phase a consumer is connected. Generally, utility companies did not record the distribution of the phases over time, which is essential to address the problem of unbalanced voltage distribution networks. In addition, manual phase identification is not feasible due to its high cost. The massive deployment of smart meters allowed periodic readings of energy consumption, voltage, current, etc. Out of this large amount of data, several techniques based on machine learning have emerged, addressing the problem of phase identification automatically while maintaining the existing infrastructure. Hence, phase identification is essential for developing smart-grid solutions. In the present work, we applied an unsupervised machine-learning technique that allows the classification of the time-voltage series recorded by the smart meters of a low-voltage three-phase radial distribution network located in the Balearic Islands (Spain). The results show that there is a correlation between the time series of the feeder voltage and the consumer meters. The proposed method reached a 100% success rate in the case study. In addition, the results obtained open the way to deploy a new grid configuration to minimize the load imbalance.
. 配电系统的一个普遍问题是确定用户连接到哪个相位。一般来说,公用事业公司没有记录相位随时间的分布,这是解决配电网不平衡问题的关键。此外,人工相位识别由于成本高,是不可行的。智能电表的大规模部署可以定期读取能耗、电压、电流等数据。在这大量的数据中,出现了几种基于机器学习的技术,在维护现有基础设施的同时自动解决阶段识别问题。因此,相位识别对于开发智能电网解决方案至关重要。在目前的工作中,我们应用了一种无监督的机器学习技术,该技术允许对位于巴利阿里群岛(西班牙)的低压三相径向配电网络的智能电表记录的时间电压序列进行分类。结果表明,馈线电压的时间序列与用户仪表之间存在一定的相关性。在实例研究中,该方法的成功率达到100%。此外,所获得的结果为部署新的网格配置以最小化负载不平衡开辟了道路。
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引用次数: 0
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Renewable Energy and Power Quality Journal
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