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Records with Subject: Energy Systems
Showing records 4313 to 4337 of 9565. [First] Page: 1 170 171 172 173 174 175 176 177 178 Last
Series DC Arc Simulation of Photovoltaic System Based on Habedank Model
Xinran Li, Chenyun Pan, Dongmei Luo, Yaojie Sun.
March 23, 2023 (v1)
Keywords: arc characteristics, DC arc model, fault arc simulation, PV arc fault, Renewable and Sustainable Energy.
Despite the rapid development of photovoltaic (PV) industry, direct current (DC) fault arc remains a major threat to the safety of PV system and personnel. While extensive research on DC fault arc has been conducted, little attention has been paid to the long-time interactions between the PV system and DC arc. In this paper, a simulation system with an arc model and PV system model is built to overcome the inconvenience of the fault-arc experiments and understand the mechanism of these interactions. For this purpose, the characteristics of the series DC arc in a small grid-connected PV system are first investigated under uniform irradiance. Then, by comparing with different arc models, the Habedank model is selected to simulate the fault arc and a method to determine its parameters under DC arc condition is proposed. The trends of simulated arc waveforms are consistent with the measured data, whose fitting degree in adjusted R-squared is between 0.946 and 0.956. Finally, a phenomenon o... [more]
Impact of Boundary Conditions on the Performance Enhancement of Advanced Control Strategies for a Residential Building with a Heat Pump and PV System with Energy Storage
Emmanouil Psimopoulos, Fatemeh Johari, Chris Bales, Joakim Widén.
March 23, 2023 (v1)
Keywords: control algorithms, electrical storage, final energy, forecast services, heat pump, photovoltaics, self-consumption, thermal storage.
Operational control strategies for the heating system of a single-family house with exhaust air heat pump and photovoltaic system and “smart” utilization of energy storage have been developed and evaluated in a simulation study. The main aim and novelty of this study is to evaluate the impact on the benefit of these advanced control strategies in terms of performance (energy use and economic) for a wide range of boundary conditions (country/climate, occupancy and appliance loads). Short-term weather data and historic price data for the same year as well as stochastic occupancy profiles that include the domestic hot water load are used as boundary for a parametric simulation study for the system modeled in detail in TRNSYS 17. Results show that the control using a forecast of dynamic electricity price leads to greater final energy savings than those due to the control using thermal storage for excess PV production in all of the examined locations except Sweden. The impact on self-consum... [more]
Experimental Study of Fracture Propagation: The Application in Energy Mining
Yuxiang Cheng, Yanjun Zhang.
March 23, 2023 (v1)
Keywords: hydraulic fracturing, injection flow rate, pressure, rock.
Hydraulic fracturing has been widely used in recent years as a key technology to improve energy mining efficiency in petroleum and geothermal industries. Laboratory hydraulic fracturing experiments recently were completed in six large-scale 300 × 300 × 300 mm rock specimens to better understand this complex process of hydraulic fracturing. When injection flow rate increases from 5 to 30 mL/min. The fracture initiation pressures and breakdown pressures increase, the propagation times and post-fracturing pressures decrease. The fracture geometries are observed and analyzed, mean injection power is proposed and results show that it could be used to roughly estimate the fracture total lengths. Moreover, the fracture permeabilities based on the pressure data are calculated and linearly ascend with the increase of injection flow rates. These results can provide some reasonable advice for implementing hydraulic fracturing reservoir simulations and improving energy production efficiency on app... [more]
Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium−Ion Batteries in Their Entire Lifespan
Zheng Chen, Jiapeng Xiao, Xing Shu, Shiquan Shen, Jiangwei Shen, Yonggang Liu.
March 23, 2023 (v1)
Keywords: adaptive model-based algorithm, available capacity, joint estimation, square root cubature Kalman filter, state of charge.
In this paper, a co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium−ion batteries based on the adaptive model-based algorithm. A three-dimensional response surface (TDRS) in terms of the open circuit voltage, the SOC and the available capacity in the scope of whole lifespan, is constructed to describe the capacity attenuation, and the battery available capacity is identified by a genetic algorithm (GA), together with the parameters related to SOC. The square root cubature Kalman filter (SRCKF) is employed to estimate the SOC with the consideration of capacity degradation. The experimental results demonstrate the effectiveness and feasibility of the co-estimation scheme.
A Qualitative Control Approach to Reduce Energy Costs of Hybrid Energy Systems: Utilizing Energy Price and Weather Data
Mehdi Taebnia, Marko Heikkilä, Janne Mäkinen, Jenni Kiukkonen-Kivioja, Jouko Pakanen, Jarek Kurnitski.
March 23, 2023 (v1)
Keywords: building energy simulation, electrical heater, Energy Storage, geothermal heat pump, load shifting, price responsive, qualitative modelling, Renewable and Sustainable Energy, solar collector.
Nowadays, many buildings are equipped with various energy sources. The challenge is how to efficiently utilize their energy production. This includes decreasing the share and costs of external energy—usually electrical energy delivered from the grid. The following study presents a qualitative approach with a combined control to solve the problem. The approach is demonstrated using a simulated residential building equipped with a hybrid energy system: a thermal energy storage combined with an electrical heater, a geothermal heat pump and a solar thermal collector. Consequently, the share of renewable energy was increased and, conversely, costs of the external energy from grid decreased by 12.2%. The results were based on a qualitative approach and the algorithm which predicts the need of energy of the building over the next 6 h with the aid of weather forecasting. This approach included a storage tank of 300 L. The energy costs can be further decreased 7.7% by increasing thermal storage... [more]
Operation of the Hybrid Photovoltaic-Battery System on the Electricity Market—Simulation, Real-Time Tests and Cost Analysis
Robert Małkowski, Marcin Jaskólski, Wojciech Pawlicki.
March 23, 2023 (v1)
Keywords: battery energy storage, day-ahead market, hardware in the loop, photovoltaic, PowerFactory.
This paper presents research on a hybrid photovoltaic-battery energy storage system, declaring its hourly production levels as a member of a balancing group submitting common scheduling unit to the day-ahead market. It also discusses the variability of photovoltaic system generation and energy storage response. The major research questions were whether the operation of a hybrid photovoltaic-battery energy storage system is viable from the technical and economic viewpoint and how to size battery energy storage for that purpose. The DIgSILENT PowerFactory environment was used to develop the simulation model of postulated hybrid system. Then, tests were conducted on real devices installed in the LINTE^2 laboratory at Gdańsk University of Technology, Poland. Firstly, power generation in the photovoltaic system was modeled using hardware in the loop technique and tested in cooperation with emulated photovoltaic and real battery energy storage system (lithium-ion battery, 25 kWh). Secondly,... [more]
Barrier Analysis for the Deployment of Renewable-Based Mini-Grids in Myanmar Using the Analytic Hierarchy Process (AHP)
Masako Numata, Masahiro Sugiyama, Gento Mogi.
March 23, 2023 (v1)
Keywords: AHP, barrier, energy access, micro-grid, mini-grid, Myanmar, Renewable and Sustainable Energy, rural electrification.
Energy access remains a challenge for many countries, as recognized by sustainable development goal 7 of the United Nations Development Programme. Although the Myanmar government has set a target of 100% electrification by 2030, less than half of the households are currently connected to the national grid. To expedite electrification, decentralized approaches should be considered. Mini-grids are an effective alternative that can fill the gap between a solar home system and the national grid; however, many of the existing mini-grids in Myanmar are powered by diesel generators. Diesel fuel is significantly more expensive in rural areas than in urban areas due to high transportation costs. Although mini-grids powered by solar photovoltaics and batteries are cost-competitive with diesel generators, the deployment of renewable energy-based mini-grids is slow. In this study, we analyzed the barriers to mini-grid deployment and prioritized the barriers. We conducted a questionnaire survey wit... [more]
Multi-Objective Thermo-Economic Optimization of a Combined Organic Rankine Cycle (ORC) System Based on Waste Heat of Dual Fuel Marine Engine and LNG Cold Energy Recovery
Zhen Tian, Yingying Yue, Yuan Zhang, Bo Gu, Wenzhong Gao.
March 23, 2023 (v1)
Keywords: LNG cold energy, multi-objective optimization, organic Rankine cycle system, thermo-economic analysis, working fluid combination.
In this paper, a combined organic Rankine cycle (ORC) system that can effectively utilize the cold energy of Liquefied Nature Gas (LNG) and the waste heat of dual fuel (DF) marine engine was proposed. Particularly, the engine exhaust gas and the jacket cooling water of the DF marine engine were used as heat sources. Firstly, a thorough assessment of thermo-economic performance was conducted for the combined ORC system using 11 environmentally friendly working fluids (WFs). Afterwards, the effects of evaporation and condensation pressures on the net output work, energy efficiency, exergy efficiency, total investment cost and payback period were examined. Furthermore, the thermo-economic performances of the ORC system were optimized via multi-objective optimization with a genetic algorithm. Finally, exergy destructions and investment costs of each component under the optimal operating conditions were analyzed to make suggestions for further improvement. The results show that R1150-R1234y... [more]
Instantaneous Rotational Speed Algorithm for Locating Malfunctions in Marine Diesel Engines
Damian Kazienko, Leszek Chybowski.
March 23, 2023 (v1)
Keywords: combustion process, condition monitoring, cylinder misfire, engine diagnostics, load balance analysis, speed uniformity analysis, engine speed measurements, marine engine.
This article suggested broadening the standard methods for diagnosing the technical condition of diesel engines to include an analysis of the instantaneous rotational speed of compression combustion engines with the use of a novel algorithm. The authors revised the subject concerning the use of the analysis of instantaneous changes in the rotational speed of an engine when assessing its technical condition and the location of the malfunction. An algorithm and its practical implementation in a prototype diagnostic system called SpeedMA were presented. This article reported the test results of the prototype in the context of indicating the engine cylinder in which ignition failed to occur. Tests were carried out for two marine engines: a low-speed trunk engine directly driving the fixed-pitch propeller and a medium-speed trunk engine driving the alternator. For each case, an analysis was carried out for different engine loads and at individual cylinders in which combustion failed to occu... [more]
New Cell Balancing Charging System Research for Lithium-ion Batteries
Chan-Yong Zun, Sang-Uk Park, Hyung-Soo Mok.
March 23, 2023 (v1)
Keywords: battery, battery charging, battery management system, cell balancing, passive cell balancing.
With recent advancements in the electrical industry, the demand for high capacity and high energy density batteries has increased, subsequently increasing the demand for fast and reliable battery charging. A battery is an assembly of a plurality of cells, in which maintaining a balance between neighboring cells is crucial for stable charging. To this end, various methods have been applied to battery management systems. Representative methods for maintaining the balance in battery cells include a passive method of adjusting the balance using a resistor and an active method involving the exchange of energy between the cells. However, these methods are limited in terms of efficiency, lifespan, and charging time. Therefore, in this study, we propose a new charging method at the battery cell level and demonstrate its effectiveness through experiments.
A Switched Quasi-Z-Source Inverter with Continuous Input Currents
Jing Yuan, Yongheng Yang, Frede Blaabjerg.
March 23, 2023 (v1)
Keywords: continuous input current, DC–AC inverter, impedance source inverter, quasi Z-source inverter, switched boost inverter, Z-source inverter.
Impedance source converters as single-stage power conversion alternatives can boost and regulate the output voltages of renewable energy sources. Nevertheless, they, also known as Z-source inverters (ZSIs), still suffer from limited voltage gains and higher stresses across the components. To tackle such issues, extra diodes, passive components, and active switches can be utilized in the basic ZSIs. In this paper, a modified switched-quasi-Z-source inverter (S-qZSI) is proposed, which features continuous input currents and high boosting capability to boost output voltage by minor modifications of a prior-art topology. Furthermore, the voltage stress of the active switches is reduced, which contributes to a lower cost. The operation principles are discussed comprehensively. The performance of the proposed ZSI in terms of conversion ratio, voltage gain, and stresses on the power switches and capacitors is benchmarked with selected ZSIs. Finally, simulations and experimental tests substant... [more]
Bifacial p-Type PERC Solar Cell with Efficiency over 22% Using Laser Doped Selective Emitter
Caixia Zhang, Honglie Shen, Luanhong Sun, Jiale Yang, Shiliang Wu, Zhonglin Lu.
March 23, 2023 (v1)
Keywords: bifacial, laser doped selective emitter, p-type, passivated emitter and rear (PERC) solar cells.
In this paper, we report one bifacial p-type PERC solar cell with efficiency over 22% using laser doped selective emitter produced in larger-scale commercial line on 6-inch mono-crystalline wafer. On front side of the solar cell, square resistance of p-n junction was found to be closely related with laser power at certain laser scan speed and frequency. On the other side, the rear fingers with different ratios of height and width and rear silicon nitride (SiNx) layer with different thickness were optimized, and a highest rear efficiency of the bifacial solar cell was obtained. Finally, bifacial silicon solar cells with the front and rear efficiencies exceeding 22% and 15% (AM1.5, 1000 W/m2, 25 °C) were successfully achieved, respectively.
A Self-Learning Detection Method of Sybil Attack Based on LSTM for Electric Vehicles
Yi-Ying Zhang, Jing Shang, Xi Chen, Kun Liang.
March 23, 2023 (v1)
Keywords: EV, intrusion detection, self-learning, Sybil attack.
Electric vehicles (EVs) are the development direction of new energy vehicles in the future. As an important part of the Internet of things (IOT) communication network, the charging pile is also facing severe challenges in information security. At present, most detection methods need a lot of prophetic data and too much human intervention, so they cannot do anything about unknown attacks. In this paper, a self-learning-based attack detection method is proposed, which makes training and prediction a closed-loop system according to a large number of false information packets broadcast to the communication network. Using long short-term memory (LSTM) neural network training to obtain the characteristics of traffic data changes in the time dimension, the unknown malicious behavior characteristics are self-extracted and self-learning, improving the detection efficiency and quality. In this paper, we take the Sybil attack in the car network as an example. The simulation results show that the... [more]
A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction
Branko Kosovic, Sue Ellen Haupt, Daniel Adriaansen, Stefano Alessandrini, Gerry Wiener, Luca Delle Monache, Yubao Liu, Seth Linden, Tara Jensen, William Cheng, Marcia Politovich, Paul Prestopnik.
March 23, 2023 (v1)
Keywords: grid integration, Machine Learning, Renewable and Sustainable Energy, turbine icing, wind energy, wind power forecasting.
The National Center for Atmospheric Research (NCAR) recently updated the comprehensive wind power forecasting system in collaboration with Xcel Energy addressing users’ needs and requirements by enhancing and expanding integration between numerical weather prediction and machine-learning methods. While the original system was designed with the primary focus on day-ahead power prediction in support of power trading, the enhanced system provides short-term forecasting for unit commitment and economic dispatch, uncertainty quantification in wind speed prediction with probabilistic forecasting, and prediction of extreme events such as icing. Furthermore, the empirical power conversion machine-learning algorithms now use a quantile approach to data quality control that has improved the accuracy of the methods. Forecast uncertainty is quantified using an analog ensemble approach. Two methods of providing short-range ramp forecasts are blended: the variational doppler radar analysis system an... [more]
Improved Energy Management in an Intermittently Heated Building Using a Large Broiler House in Central Europe as an Example
Grzegorz Nawalany, Paweł Sokołowski.
March 23, 2023 (v1)
Keywords: broiler house, building energy management, conditions in the broiler living zone, floor temperature, heat exchange with soil.
This paper deals with the problem of rational energy management in an intermittently heated broiler house. The aim was to evaluate the energy amount necessary to heat up the building floor for the production cycle, preceded by a technological interruption of varying length. The scope of studies included the indoor and outdoor air temperature measurements and the soil temperature measurements under the building floor. The results of field tests allowed computer simulations to be carried out in the WUFIplussoftware (Fraunhofer Institute for Building Physics, Holzkirchen Branch, Germany). The variant analysis was preceded by the validation of the calculation model whose results showed a strong correlation of theoretical data with actual results. The winter breeding cycle was analyzed in detail. The detailed soil and air temperature curves are presented graphically. The results allow a conclusion that the length of the technological interruption has a significant impact on the amount of en... [more]
Heavy Oil Laminar Flow in Corrugated Ducts: A Numerical Study Using the Galerkin-Based Integral Method
Valdecir Alves dos Santos Júnior, Severino Rodrigues de Farias Neto, Antonio Gilson Barbosa de Lima, Igor Fernandes Gomes, Israel Buriti Galvão, Célia Maria Rufino Franco, João Evangelista Franco do Carmo.
March 23, 2023 (v1)
Keywords: fully developed flow, Galerkin-based integral (GBI) method, Petroleum, Poiseuille number, pressure gradient.
Fluid flow in pipes plays an important role in different areas of academia and industry. Due to the importance of this kind of flow, several studies have involved circular cylindrical pipes. This paper aims to study fully developed internal laminar flow through a corrugated cylindrical duct, using the Galerkin-based integral method. As an application, we present a study using heavy oil with a relative density of 0.9648 (14.6 °API) and temperature-dependent viscosities ranging from 1715 to 13000 cP. Results for different fluid dynamics parameters, such as the Fanning friction factor, Reynolds number, shear stress, and pressure gradient, are presented and analyzed based on the corrugation number established for each section and aspect ratio of the pipe.
Effect of Cell Size on the Performance and Temperature Distribution of Molten Carbonate Fuel Cells
Jae-Hyeong Yu, Chang-Whan Lee.
March 23, 2023 (v1)
Keywords: Fluid Dynamics, molten carbonate fuel cell, size effect, stack.
Molten carbonate fuel cells (MCFCs) are high-operating-temperature fuel cells with high efficiency and fuel diversity. Electrochemical reactions in MCFCs are exothermic. As the size of the fuel cells increases, the amount of the heat from the fuel cells and the temperature of the fuel cells increase. In this work, we investigated the relationship between the fuel cell stack size and performance by applying computational fluid dynamics (CFD). Three flow types, namely co-flow, cross-flow, and counter-flow, were studied. We found that when the size of the fuel cells increased beyond a certain value, the size of the fuel cell no longer affected the cell performance. The maximum fuel cell temperature converged as the size of the fuel cell increased. The temperature and current density distribution with respect to the size showed a very similar distribution. The converged maximum temperature of the fuel cells depended on the gas flow condition. The maximum temperature of the fuel cell decrea... [more]
A New Network for Particle Filtering of Multivariable Nonlinear Objects †
Piotr Kozierski, Jacek Michalski, Joanna Zietkiewicz, Marek Retinger and Wojciech Retinger, Wojciech Giernacki.
March 23, 2023 (v1)
Keywords: multidimensional systems, nonlinear plants, particle filter, power system grid, sequential importance resampling, state estimation.
In this paper, a new object in the form of a theoretical network is presented, which is useful as a benchmark for particle filtering algorithms designed for multivariable nonlinear systems (potentially linear, nonlinear, and even semi-Markovian jump system). The main goal of the paper is to propose an object that potentially can have similar to the power system grid properties, but with the number of state variables reduced twice (only one state variable for each node, while there are two in the case of power systems). Transition and measurement functions are proposed in the paper, and two types of transition functions are considered: dependent on one or many state variables. In addition, 10 types of measurements are proposed both for branch and nodal cases. The experiments are performed for 14 different, four-dimensional systems. Plants are both linear and highly nonlinear. The results include information about the state estimation quality (based on the mean squared error indicator) a... [more]
Investigating the Performance Capability of a Lithium-ion Battery System When Powering Future Pulsed Loads
Luke Farrier, Richard Bucknall.
March 23, 2023 (v1)
Keywords: battery systems, equivalent circuit model, power quality.
The supply of pulsed power loads is considered a key driver for the integration of energy storage systems (ESSs) with warship power systems. ESSs are identified as a means to offer fast response dynamics capable of driving pulsed loads for sustained periods. This paper contributes a novel investigation into the performance of a Nickel Manganese Cobalt based lithium-ion battery system to supply laser directed energy weapon (LDEW) loads for future warship combat power systems using time-domain simulation methodology. The approach describes a second order Thévenin equivalent circuit battery model validated against a battery module of a type used in commercial marine ESS. The ability of the battery system to power LDEW loads peaking at 2 MW for up to periods of four minutes were simulated for beginning of life (BoL) and degraded conditions. The repeatability of the pulsed power supply with ESS is also reported. Simulation results show that Quality of Power Supply (QPS) is maintained within... [more]
Effective Permeability of Multi Air Gap Ferrite Core 3-Phase Medium Frequency Transformer in Isolated DC-DC Converters
Piotr Dworakowski, Andrzej Wilk, Michal Michna, Bruno Lefebvre, Fabien Sixdenier, Michel Mermet-Guyennet.
March 23, 2023 (v1)
Keywords: average air gap length, dc-dc power converters, gapped magnetic core, magnetic permeability, magnetizing inductance, medium frequency transformer.
The magnetizing inductance of the medium frequency transformer (MFT) impacts the performance of the isolated dc-dc power converters. The ferrite material is considered for high power transformers but it requires an assembly of type “I” cores resulting in a multi air gap structure of the magnetic core. The authors claim that the multiple air gaps are randomly distributed and that the average air gap length is unpredictable at the industrial design stage. As a consequence, the required effective magnetic permeability and the magnetizing inductance are difficult to achieve within reasonable error margins. This article presents the measurements of the equivalent B(H) and the equivalent magnetic permeability of two three-phase MFT prototypes. The measured equivalent B(H) is used in an FEM simulation and compared against a no load test of a 100 kW isolated dc-dc converter showing a good fit within a 10% error. Further analysis leads to the demonstration that the equivalent magnetic permeabil... [more]
Prediction of Performance Variation Caused by Manufacturing Tolerances and Defects in Gas Diffusion Electrodes of Phosphoric Acid (PA)−Doped Polybenzimidazole (PBI)-Based High-Temperature Proton Exchange Membrane Fuel Cells
Vladimir Gurau, Emory S. De Castro.
March 23, 2023 (v1)
Keywords: high-temperature proton exchange membrane fuel cells (HT-PEMFC), mathematical model, phosphoric acid (PA)-doped polybenzimidazole (PBI)-based proton exchange membranes, prediction of performance variation caused by manufacturing tolerances and defects, six-sigma product specification.
The automated process of coating catalyst layers on gas diffusion electrodes (GDEs) for high-temperature proton exchange membrane fuel cells results inherently into a number of defects. These defects consist of agglomerates in which the platinum sites cannot be accessed by phosphoric acid and which are the consequence of an inconsistent coating, uncoated regions, scratches, knots, blemishes, folds, or attached fine particles—all ranging from μm to mm size. These electrochemically inactive spots cause a reduction of the effective catalyst area per unit volume (cm2/cm3) and determine a drop in fuel cell performance. A computational fluid dynamics (CFD) model is presented that predicts performance variation caused by manufacturing tolerances and defects of the GDE and which enables the creation of a six-sigma product specification for Advent phosphoric acid (PA)-doped polybenzimidazole (PBI)-based membrane electrode assemblies (MEAs). The model was used to predict the total volume of defe... [more]
Infrared Thermography Based Defects Testing of Solar Photovoltaic Panel with Fuzzy Rule-Based Evaluation
Gomathy Balasubramani, Venkatesan Thangavelu, Muniraj Chinnusamy, Umashankar Subramaniam, Sanjeevikumar Padmanaban, Lucian Mihet-Popa.
March 23, 2023 (v1)
Keywords: defect diagnosis, delamination, fuzzy classifier, infrared thermography, photovoltaic panels, discoloring.
Infrared Thermography has been used as a tool for predictive and preventive maintenance of Photovoltaic panels. International Electrotechnical Commission provides some guidelines for using thermography to detect defects in Photovoltaic panels. However, the proposed guidelines focus only on the location of the hot spot than diagnosing the types of faults. The long-term reliability and efficiency of panels can be affected by progressive defects such as discolouring and delamination. This paper proposed the new Thermal Pixel Counting algorithm to detect the above faults based on three thermal profile index values. The real-time experimental testing was carried out using FLIR T420bx® thermal imager and results have been provided to validate the proposed method. In this work, the fuzzy rule-based classification system is proposed to automate the classification process. Fuzzy reasoning method based on a single winner rule fuzzy classifier is designed with modified rule weights by particular... [more]
Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline
Peng Zhang, Xiangsu Chen, Chaohai Fan.
March 23, 2023 (v1)
Keywords: absence of failure data, heavy oil gathering pipelines, information diffusion theory, safety evaluation, variable fuzzy set theory.
At present, the number of oil and gas gathering and transportation pipelines is numerous, and leakage accidents occur frequently. Each year, due to pipeline failure, there are immeasurable consequences for people and the environment around the affected pipelines. In order to reduce the risk of leakage accidents in heavy oil gathering pipelines and prevent the occurrence of major spills, it is of great significance to carry out safety assessments of them. However, failure data of these pipelines is seriously deficient and statistical methods used to evaluate pipeline safety are incompatible. Therefore, this paper proposes a risk assessment system for heavy oil gathering pipelines in the absence of failure data. Firstly, a Bayesian network (BN) for the leak safety evaluation of heavy oil gathering pipelines is established via mapping from a bow-tie (BT) model. Then, information diffusion theory is combined with fuzzy set theory to obtain the failure probability of each factor affecting t... [more]
A New Simulation Model for Vertical Spiral Ground Heat Exchangers Combining Cylindrical Source Model and Capacity Resistance Model
Takao Katsura, Takashi Higashitani, Yuzhi Fang, Yoshitaka Sakata, Katsunori Nagano, Hitoshi Akai, Motoaki OE.
March 23, 2023 (v1)
Keywords: borehole thermal storage, capacity resistance model, ground source heat pump system, infinite cylindrical source, vertical spiral ground heat exchanger.
Considering the heat capacity inside vertical spiral ground heat exchanger (VSGHEX) in the simulation is one of the most noteworthy challenge to design the ground source heat pump (GSHP) system with VSGHEXs. In this paper, a new simulation model for VSGHEXs is developed by combining the ICS model with the CaRM. The developed simulation model can consider the heat capacity inside VSGHEX and provide dynamic calculation with high speed and appropriate precision. In order to apply the CaRM, the equivalent length was introduced. Then, the equivalent length was approximated by comparing the results of the CaRM and the numerical calculation. In addition, the calculation model of the VSGHEX was integrated into the design and simulation tool for the GSHP system. The accuracy of the tool was verified by comparing with the measurements. The error between supply temperatures of the measurements and calculation is approximately 2 °C at the maximum. Finally, assuming GSHP systems with VSGHEXs, whose... [more]
Geological and Thermodynamic Analysis of Low Enthalpy Geothermal Resources to Electricity Generation Using ORC and Kalina Cycle Technology
Michał Kaczmarczyk, Barbara Tomaszewska, Leszek Pająk.
March 23, 2023 (v1)
Keywords: electricity generation, geological conditions, geothermal resources, geothermal water, kalina cycle, organic rankine cycle.
The article presents an assessment of the potential for using low enthalpy geothermal resources for electricity generation on the basis of the Małopolskie Voivodeship (southern Poland). Identification the locations providing the best prospects with the highest efficiency and possible gross power output. Thermodynamic calculations of power plants were based on data from several geothermal wells: the Bańska PGP-1, Bańska IG-1, Bańska PGP-3 and Chochołów PIG-1 which are working wells located in one of the best geothermal reservoirs in Poland. As the temperature of geothermal waters from the wells does not exceed 86 °C, considerations include the use of binary technologies—the Organic Rankine Cycle (ORC) and Kalina Cycle. The potential gross capacity calculated for existing geothermal wells will not exceed 900 kW for ORC and 1.6 MW for Kalina Cycle. In the case of gross electricity, the total production will not exceed 3.3 GWh/year using the ORC, and will not exceed 6.3 GWh/year for the Ka... [more]
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