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Showing records 101 to 125 of 155. [First] Page: 1 2 3 4 5 6 7 Last
Master⁻Slave Based Hierarchical Control for a Small Power DC-Distributed Microgrid System with a Storage Device
Seung-Woon Lee, Bo-Hyung Cho
January 31, 2019 (v1)
Keywords: bus quality, communication-less master–slave, DC microgrid with ESS, master–slave control with battery
In this paper, we analyze one of the main drawbacks of droop control-based DC microgrid systems, and propose a novel control method to overcome this problem. Typically, DC microgrid systems use droop control techniques to enable communication independency and expandability. However, as these advantages are based on bus quality and regulation abandonment, droop-based schemes have limitations in terms of high bus impedance and bus regulation. This paper proposes a novel master⁻slave based hierarchical control technique for a DC distribution system, in which a DC bus signaling method is used to overcome the communication dependency and the expandability limitations of conventional master⁻slave control methods. The concept and design considerations of the proposed control method are presented, and a 1 kW simulation under a Powersim (PSIM) environment and hardware prototype—built to verify the system—is described.
An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies
Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale
January 31, 2019 (v1)
Keywords: electricity markets simulation, multi-agent systems interoperability, ontologies
Electricity markets are complex environments with very particular characteristics. Some of the main ones for this complexity are the need for an adequate integration of renewable energy sources and the electricity markets’ restructuring process. The growth of simulation tool usage is driven by the need to understand those mechanisms and how the involved players’ interactions affect the markets’ outcomes. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. Although, they share a common limitation: the lack of interoperability between the various systems to allow the exchange of information and knowledge, to test different market models and to allow players from different systems to interact in common market environments. This paper proposes the use of ontologies for semantic interoperability between multi-agent platforms in the scope of electricity markets simulation. The achieved results allow the identification of the added value g... [more]
Energy Saving in Water Distribution Network through Pump as Turbine Generators: Economic and Environmental Analysis
Mauro De Marchis, Barbara Milici, Roberto Volpe, Antonio Messineo
January 31, 2019 (v1)
Keywords: energy recovery, greenhouse gas (GHG), pump as turbine (PAT), Renewable and Sustainable Energy, water distribution network
Complex systems of water distribution networks (WDS) are used to supply water to users. WDSs are systems where a lot of distributed energy is available. Historically, this energy is artificially dissipated by pressure reduction valves (PRVs), thanks to which water utilities manage the pressure level in selected nodes of the network. The present study explores the use of economic hydraulic machines, pumps as turbines (PATs) to produce energy in a small network located in a town close to Palermo (Italy). The main idea is to avoid dissipation in favor of renewable energy production. The proposed study is applied to a WDN typical of the Mediterranean countries, where the users, to collect water during the period of water scarcity conditions, install private tanks. The presence of private tanks deeply modifies the network from its designed condition. In the proposed analysis, the economic benefit of PATs application in water distribution networks has been investigated, accounting for the pr... [more]
Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia
Shafiqur Rehman, Salman A. Khan
January 31, 2019 (v1)
Keywords: decision-making, fuzzy arithmetic mean operator, fuzzy logic, wind energy, wind turbine
The emergence of wind energy as a potential alternative to traditional sources of fuel has prompted notable research in recent years. One primary factor contributing to efficient utilization of wind energy from a wind farm is the type of turbines used. However, selection of a specific wind turbine type is a difficult task due to several criteria involved in the selection process. Important criteria include turbine’s power rating, height of tower, energy output, rotor diameter, cut-in wind speed, and rated wind speed. The complexity of this selection process is further amplified by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper proposes a two-level decision turbine selection strategy based on fuzzy logic and multi-criteria decision-making (MCDM) approach. More specifically, the fuzzy arithmetic mean ope... [more]
Lumped Parameters Model of a Crescent Pump
Massimo Rundo, Alessandro Corvaglia
January 31, 2019 (v1)
Keywords: crescent pump, fluid power, internal gear pump, Modelling
This paper presents the lumped parameters model of an internal gear crescent pump with relief valve, able to estimate the steady-state flow-pressure characteristic and the pressure ripple. The approach is based on the identification of three variable control volumes regardless of the number of gear teeth. The model has been implemented in the commercial environment LMS Amesim with the development of customized components. Specific attention has been paid to the leakage passageways, some of them affected by the deformation of the cover plate under the action of the delivery pressure. The paper reports the finite element method analysis of the cover for the evaluation of the deflection and the validation through a contactless displacement transducer. Another aspect described in this study is represented by the computational fluid dynamics analysis of the relief valve, whose results have been used for tuning the lumped parameters model. Finally, the validation of the entire model of the p... [more]
Investigation the Influence of Different Salts on the Degradation of Organic Dyes Using Non-Thermal Plasma
Ahmed El-Tayeb, Ahmed H. El-Shazly, Marwa F. Elkady
January 31, 2019 (v1)
Keywords: corona discharge, dye decolorization, non-thermal plasma (NTP), ozone generation, pin-to-plate, wastewater treatment
In dye decolorization tests a non-thermal plasma (NTP) corona discharge generated by a high voltage pin-to-ground plate displayed 82% color removal within 11 min. Total color removal was accomplished after 28 min. Different salts such as KCl, NaCl, CaCl₂ and AlCl₃ were utilized to check the influence of conductivity changes on the dye decolorization process. Higher dye solution conductivity improved the color removal efficiency. The discharge energy and degradation efficiency were computed for diverse concentrations for NaCl, KCl, CaCl₂ and AlCl₃, whereby it was noticed that the salts generally have a small impact on the level of dye decolorization using corona discharge. In addition, the essential reactive species involved in the oxidation of organic dye compounds such as ozone (O₃) generated in treated water and hydrogen peroxide (H₂O₂) were investigated and the energetic species that produced the non-thermal plasma at the optimum operation time were determined. Energy yields for dec... [more]
Application of Hybrid Quantum Tabu Search with Support Vector Regression (SVR) for Load Forecasting
Cheng-Wen Lee, Bing-Yi Lin
January 31, 2019 (v1)
Keywords: electric load forecasting, quantum computing mechanics, quantum tabu search (QTS) algorithm, support vector regression (SVR)
Hybridizing chaotic evolutionary algorithms with support vector regression (SVR) to improve forecasting accuracy is a hot topic in electricity load forecasting. Trapping at local optima and premature convergence are critical shortcomings of the tabu search (TS) algorithm. This paper investigates potential improvements of the TS algorithm by applying quantum computing mechanics to enhance the search information sharing mechanism (tabu memory) to improve the forecasting accuracy. This article presents an SVR-based load forecasting model that integrates quantum behaviors and the TS algorithm with the support vector regression model (namely SVRQTS) to obtain a more satisfactory forecasting accuracy. Numerical examples demonstrate that the proposed model outperforms the alternatives.
Effects of Biochar Amendment on Chloropicrin Adsorption and Degradation in Soil
Pengfei Liu, Qiuxia Wang, Dongdong Yan, Wensheng Fang, Liangang Mao, Dong Wang, Yuan Li, Canbin Ouyang, Meixia Guo, Aocheng Cao
January 31, 2019 (v1)
Subject: Biosystems
Keywords: Adsorption, biochar, chloropicrin, degradation, pyrolysis temperature
The characteristics of biochar vary with pyrolysis temperature. Chloropicrin (CP) is an effective fumigant for controlling soil-borne pests. This study investigated the characteristics of biochars prepared at 300, 500, and 700 °C by michelia alba (Magnolia denudata) wood and evaluated their capacity to adsorb CP. The study also determined the potential influence of biochar, which was added to sterilized and unsterilized soils at rates of 0%, 1%, 5%, and 100%, on CP degradation. The specific surface area, pore volume, and micropores increased considerably with an increase in the pyrolytic temperature. The adsorption rate of biochar for CP increased with increasing pyrolytic temperature. The maximum adsorption amounts of CP were similar for the three biochars. Next, the study examined the degradation ability of the biochar for CP. The degradation rate constant (k) of CP increased when biochar was added to the soil, and k increased with increased amendment rate and pyrolysis temperature.... [more]
Risk-Limiting Scheduling of Optimal Non-Renewable Power Generation for Systems with Uncertain Power Generation and Load Demand
Shin-Yeu Lin, Ai-Chih Lin
January 31, 2019 (v1)
Keywords: artificial neural network (ANN), demand response, optimal power flow (OPF), point estimation method, renewable power generation, risk-limiting scheduling, security constraints
This study tackles a risk-limiting scheduling problem of non-renewable power generation for large power systems, and addresses potential violations of the security constraints owing to the volatility of renewable power generation and the uncertainty of load demand. To cope with the computational challenge that arises from the probabilistic constraints in the considered problem, a computationally efficient solution algorithm that involves a bisection method, an off-line constructed artificial neural network (ANN) and an on-line point estimation method is proposed and tested on the IEEE 118-bus system. The results of tests and comparisons reveal that the proposed solution algorithm is applicable to large power systems in real time, and the solution obtained herein is much better than the conventional optimal power flow (OPF) solution in obtaining a much higher probability of satisfying the security constraints.
Operational Modal Analysis of a Spar-Type Floating Platform Using Frequency Domain Decomposition Method
Carlo Ruzzo, Giuseppe Failla, Maurizio Collu, Vincenzo Nava, Vincenzo Fiamma, Felice Arena
January 31, 2019 (v1)
Keywords: damping of offshore structures, Frequency Domain Decomposition, output-only system identification
System identification of offshore floating platforms is usually performed by testing small-scale models in wave tanks, where controlled conditions, such as still water for free decay tests, regular and irregular wave loading can be represented. However, this approach may result in constraints on model dimensions, testing time, and costs of the experimental activity. For such reasons, intermediate-scale field modelling of offshore floating structures may become an interesting as well as cost-effective alternative in a near future. Clearly, since the open sea is not a controlled environment, traditional system identification may become challenging and less precise. In this paper, a new approach based on Frequency Domain Decomposition (FDD) method for Operational Modal Analysis is proposed and validated against numerical simulations in ANSYS AQWA v.16.0 on a simple spar-type structure. The results obtained match well with numerical predictions, showing that this new approach, opportunely... [more]
Influence of Icing on the Modal Behavior of Wind Turbine Blades
Sudhakar Gantasala, Jean-Claude Luneno, Jan-Olov Aidanpää
January 31, 2019 (v1)
Subject: Other
Keywords: damping, icing, natural frequency, wind turbine blade
Wind turbines installed in cold climate sites accumulate ice on their structures. Icing of the rotor blades reduces turbine power output and increases loads, vibrations, noise, and safety risks due to the potential ice throw. Ice accumulation increases the mass distribution of the blade, while changes in the aerofoil shapes affect its aerodynamic behavior. Thus, the structural and aerodynamic changes due to icing affect the modal behavior of wind turbine blades. In this study, aeroelastic equations of the wind turbine blade vibrations are derived to analyze modal behavior of the Tjaereborg 2 MW wind turbine blade with ice. Structural vibrations of the blade are coupled with a Beddoes-Leishman unsteady attached flow aerodynamics model and the resulting aeroelastic equations are analyzed using the finite element method (FEM). A linearly increasing ice mass distribution is considered from the blade root to half-length and thereafter constant ice mass distribution to the blade tip, as defi... [more]
A Novel Modulation Function-Based Control of Modular Multilevel Converters for High Voltage Direct Current Transmission Systems
Majid Mehrasa, Edris Pouresmaeil, Sasan Zabihi, Juan C. Trujillo Caballero, João P. S. Catalão
January 31, 2019 (v1)
Keywords: control, high voltage direct current (HVDC), modulation function and index, power electronic converters, transmission systems
In this paper, a novel modulation function-based method including analyses of the modulation index and phase is proposed for operation of modular multilevel converters (MMCs) in high voltage direct current (HVDC) transmission systems. The proposed modulation function-based control technique is developed based on thorough and precise analyses of all MMC voltages and currents in the a-b-c reference frame in which the alternating current (AC)-side voltage is the first target to be obtained. Using the AC-side voltage, the combination of the MMC upper and lower arm voltages is achieved as the main structure of the proposed modulation function. The main contribution of this paper is to obtain two very simple new modulation functions to control MMC performance in different operating conditions. The features of the modulation function-based control technique are as follows: (1) this control technique is very simple and can be easily achieved in a-b-c reference frame without the need of using P... [more]
Energy Efficiency Strategies for Ecological Greenhouses: Experiences from Murcia (Spain)
Hilario Becerril, Ignacio de los Rios
January 31, 2019 (v1)
Subject: Energy Policy
Keywords: conventional agriculture (CA), ecological agriculture (EA), fossil fuels, greenhouses, Renewable and Sustainable Energy, Transformational Agricultural Society
There has been a continuous growth in ecological agriculture (EA) in recent years. It is recognized as a production system with rational energy use and low demand for fossil fuels. There are many studies relating to this subject, in contrast to the few studies regarding the use of energy and its impact on the environment in ecological greenhouses. This article analyzes the strategies adopted by a Transformational Agricultural Society (Sociedad Agraria de Transformación) in order to improve energy efficiency in ecological greenhouses, with regards to the use of fossil fuels. The methodology is based on the Working With People (WWP) Model, which involves social learning processes over 30 years in one of the largest regions of ecological crops in Spain. The results show that the measures taken to manage the greenhouses have achieved a decrease of over 80% in terms of fossil fuel consumption. The experience demonstrates that EA, as opposed to conventional agriculture (CA), is a system with... [more]
Novel Interleaved Converter with Extra-High Voltage Gain to Process Low-Voltage Renewable-Energy Generation
Chih-Lung Shen, Po-Chieh Chiu, Yan-Chi Lee
January 31, 2019 (v1)
Keywords: Fuel Cells, high step-up converter, interleaved converter, low voltage stress, photovoltaic (PV) panel
This paper presents a novel interleaved converter (NIC) with extra-high voltage gain to process the power of low-voltage renewable-energy generators such as photovoltaic (PV) panel, wind turbine, and fuel cells. The NIC can boost a low input voltage to a much higher voltage level to inject renewable energy to DC bus for grid applications. Since the NIC has two circuit branches in parallel at frond end to share input current, it is suitable for high power applications. In addition, the NIC is controlled in an interleaving pattern, which has the advantages that the NIC has lower input current ripple, and the frequency of the ripple is twice the switching frequency. Two coupled inductors and two switched capacitors are incorporated to achieve a much higher voltage gain than conventional high step-up converters. The proposed NIC has intrinsic features such as leakage energy totally recycling and low voltage stress on power semiconductor. Thorough theoretical analysis and key parameter desi... [more]
Perovskite Solar Cells: Progress and Advancements
Naveen Kumar Elumalai, Md Arafat Mahmud, Dian Wang, Ashraf Uddin
January 31, 2019 (v1)
Subject: Materials
Keywords: crystal structure, electronic structure, hysteresis, interface engineering, Perovskite photovoltaics, stability
Organic⁻inorganic hybrid perovskite solar cells (PSCs) have emerged as a new class of optoelectronic semiconductors that revolutionized the photovoltaic research in the recent years. The perovskite solar cells present numerous advantages include unique electronic structure, bandgap tunability, superior charge transport properties, facile processing, and low cost. Perovskite solar cells have demonstrated unprecedented progress in efficiency and its architecture evolved over the period of the last 5⁻6 years, achieving a high power conversion efficiency of about 22% in 2016, serving as a promising candidate with the potential to replace the existing commercial PV technologies. This review discusses the progress of perovskite solar cells focusing on aspects such as superior electronic properties and unique features of halide perovskite materials compared to that of conventional light absorbing semiconductors. The review also presents a brief overview of device architectures, fabrication me... [more]
Quantification of the Lifecycle Greenhouse Gas Emissions from Nuclear Power Generation Systems
Akhil Kadiyala, Raghava Kommalapati, Ziaul Huque
January 31, 2019 (v1)
Subject: Energy Policy
Keywords: enrichment, greenhouse gas emissions, lifecycle assessment, nuclear energy, power generation, reactors
This paper statistically quantifies the lifecycle greenhouse gas (GHG) emissions from six distinct reactor-based (boiling water reactor (BWR), pressurized water reactor (PWR), light water reactor (LWR), heavy-water-moderated reactor (HWR), gas-cooled reactor (GCR), fast breeder reactor (FBR)) nuclear power generation systems by following a two-step approach that included (a) performing a review of the lifecycle assessment (LCA) studies on the reactor-based nuclear power generation systems; and (b) statistically evaluating the lifecycle GHG emissions (expressed in grams of carbon dioxide equivalent per kilowatt hour, gCO₂e/kWh) for each of the reactor-based nuclear power generation systems to assess the role of different types of nuclear reactors in the reduction of the lifecycle GHG emissions. Additionally, this study quantified the impacts of fuel enrichment methods (centrifuge, gaseous diffusion) on GHG emissions. The mean lifecycle GHG emissions resulting from the use of BWR (sample... [more]
Control Optimization of Solar Thermally Driven Chillers
Antoine Dalibard, Daniel Gürlich, Dietrich Schneider, Ursula Eicker
January 31, 2019 (v1)
Keywords: absorption chiller, control strategy, heat rejection, Optimization, solar cooling
Many installed solar thermally driven cooling systems suffer from high auxiliary electric energy consumption which makes them not more efficient than conventional compression cooling systems. A main reason for this is the use of non-efficient controls with constant set points that do not allow a chiller power modulation at partial-load and therefore lead to unnecessary high power consumption of the parasitics. The aims of this paper are to present a method to control efficiently solar thermally driven chillers, to demonstrate experimentally its applicability and to quantify the benefits. It has been shown that the cooling capacity of a diffusion absorption chiller can be modulated very effectively by adjusting both the temperature and the flow rate of the cooling water. With the developed approach and the use of optimization algorithms, both the temperature and the flow rate can be controlled simultaneously in a way that the cooling load is matched and the electricity consumption is mi... [more]
Modeling of a Pouch Lithium Ion Battery Using a Distributed Parameter Equivalent Circuit for Internal Non-Uniformity Analysis
Dafen Chen, Jiuchun Jiang, Xue Li, Zhanguo Wang, Weige Zhang
January 31, 2019 (v1)
Keywords: distributed parameter equivalent circuit model, internal non-uniformity, lithium ion battery
A battery model that has the capability of analyzing the internal non-uniformity of local state variables, including the state of charge (SOC), temperature and current density, is proposed in this paper. The model is built using a set of distributed parameter equivalent circuits. In order to validate the accuracy of the model, a customized battery with embedded T-type thermocouple sensors inside the battery is tested. The simulated temperature conforms well with the measured temperature at each test point, and the maximum difference is less than 1 °C. Then, the model is applied to analyze the evolution processes of local state variables’ distribution inside the battery during the discharge process. The simulation results demonstrate drastic distribution changes of the local state variables inside the battery during the discharge process. The internal non-uniformity is originally caused by the resistance of positive and negative foils, while also influenced by the change rate of open ci... [more]
Simplified Minimum Copper Loss Remedial Control of a Five-Phase Fault-Tolerant Permanent-Magnet Vernier Machine under Short-Circuit Fault
Chenyu Gu, Wenxiang Zhao, Bufeng Zhang
January 31, 2019 (v1)
Keywords: fault-tolerant permanent-magnet vernier (FT-PMV) machine, remedial control, short-circuit fault, torque
A fault-tolerant permanent-magnet vernier (FT-PMV) machine incorporates the merits of high fault-tolerant capability and high torque density. In this paper, a new remedial control is proposed for a five-phase FT-PMV machine with short-circuit fault of stator windings. Based on the principle of copper loss minimization, the aims of the proposed control strategy are to keep magnetic motive force (MMF) unchanged and minimize torque ripple. The proposed remedial control strategy contains two parts. Firstly, the remedial currents of the healthy phases are used to compensate for the ripple of MMF caused by the short-circuit current. Secondly, an open-circuit fault-tolerant control strategy is used to compensate for the lack of normal torque in the fault phase. Finally, the vector sum of two parts is adopted to derive the remedial currents. The final expression of the proposed remedial current is simpler than that than these previous methods. In addition, the proposed remedial currents are si... [more]
Cooperative Energy Management of Hybrid DC Renewable Grid Using Decentralized Control Strategies
Mehrdad Beykverdi, Abolfazl Jalilvand, Mehdi Ehsan
January 31, 2019 (v1)
Keywords: DC microgrid, decentralized control, droop control, energy management, hybrid unit, islanded mode
This paper attempted to control a hybrid DC microgrid in islanded operation mode using decentralized power management strategies. Proposed adaptive I/V characteristic for hybrid photovoltaic (PV) and battery energy storage system (BESS) and wind turbine generator (WTG) adapts the distributed energy resources (DER) behavior independently in accordance with the load demand. Hence, the PV module can spend its maximum power on load demand and spend the extra power for charging the BESS, which will regulate DC bus voltage and maintain the power balance within the microgrid. When load demand is beyond the maximum generation power of PV unit, WTG will supply the energy shortage. The proposed control system was applied on the DC microgrid in order to achieve control objectives through a decentralized procedure, without telecommunication links. In order to validate the proposed strategies, the control system was implemented on a DC microgrid within MATLAB/SIMULINK, where the simulation results... [more]
The Solarevolution: Much More with Way Less, Right Now—The Disruptive Shift to Renewables
Ron Swenson
January 31, 2019 (v1)
Subject: Energy Policy
Keywords: design science, disruptive, energy chain, energy return on energy invested (EROEI), energy return on investment (EROI), more with less, net energy, renewables, solarevolution
Renewable energy resources and technologies are sufficient to meet all of humanity’s energy requirements, provided that the transition to renewables is accompanied in parallel by intense, disciplined initiatives to design, fabricate, and distribute ubiquitously an emerging class of ultra-efficient energy consuming devices. Renewables can thereby power devices which are disruptively more energy-efficient in the delivery of fundamental energy services (food production, cooking, heating, cooling, mobility, logistics, lighting, industrial processes, information systems, etc.). Rather than substituting new energy sources to directly power legacy devices that were originally designed on the basis of fossil fuels, designers will develop these novel devices to deliver superior performance in all respects: cleaner, safer, more durable, more convenient, and more economical. This Solarevolution, like the Industrial Revolution two hundred years ago, is about transforming the artifacts of human soc... [more]
Modeling and Optimization of the Thermal Performance of a Wood-Cement Block in a Low-Energy House Construction
Iole Nardi, Tullio de Rubeis, Edoardo Buzzi, Stefano Sfarra, Dario Ambrosini, Domenica Paoletti
January 31, 2019 (v1)
Keywords: Ansys® simulation, sustainable material, wood-cement block
The reduction of building energy consumption requires appropriate planning and design of the building’s envelope. In the last years, new innovative materials and construction technologies used in new or refurbished buildings have been developed in order to achieve this objective, which are also needed for reducing greenhouse gases emissions and building maintenance costs. In this work, the thermal conductance of a brick, made of wood and cement, used in a low-rise building, was investigated with a heat flow meter (HFM) and with numerical simulation using the Ansys® software package (Canonsburg, PA, USA). Due to their influence on the buildings’ thermal efficiency, it is important to choose an appropriate design for the building blocks. Results obtained by the finite element modeling of the construction material and by in-situ analysis conducted on a real building are compared, and furthermore a thermal optimization of the shape of the material is suggested.
State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer
Xiaopeng Tang, Boyang Liu, Furong Gao, Zhou Lv
January 31, 2019 (v1)
Keywords: battery management system (BMS), electronic vehicle, lazy-extended Kalman filter (LEKF), state-of-charge (SOC), tuning-free
A battery’s state-of-charge (SOC) can be used to estimate the mileage an electric vehicle (EV) can travel. It is desirable to make such an estimation not only accurate, but also economical in computation, so that the battery management system (BMS) can be cost-effective in its implementation. Existing computationally-efficient SOC estimation algorithms, such as the Luenberger observer, suffer from low accuracy and require tuning of the feedback gain by trial-and-error. In this study, an algorithm named lazy-extended Kalman filter (LEKF) is proposed, to allow the Luenberger observer to learn periodically from the extended Kalman filter (EKF) and solve the problems, while maintaining computational efficiency. We demonstrated the effectiveness and high performance of LEKF by both numerical simulation and experiments under different load conditions. The results show that LEKF can have 50% less computational complexity than the conventional EKF and a near-optimal estimation error of less th... [more]
Comprehensive Exergy Analysis of Three IGCC Power Plant Configurations with CO₂ Capture
Nicholas S. Siefert, Sarah Narburgh, Yang Chen
January 31, 2019 (v1)
Keywords: coal gasification, exergy analysis, precombustion CO2 capture, process system modeling
We have conducted comprehensive exergy analyses of three integrated gasification combined cycle with carbon capture and storage (IGCC-CCS) power plant configurations: (1) a baseline model using Selexol™ for H₂S/CO₂ removal; (2) a modified version that adds a H₂-selective membrane before the Selexol™ acid gas removal system; and (3) a modified baseline version that uses a CO₂-selective membrane before the Selexol™ acid gas removal system. While holding the coal input flow rate and the CO₂ captured flow rates constant, it was determined that the H₂-selective membrane case had a higher net power output (584 MW) compared to the baseline (564 MW) and compared to the CO₂-selective membrane case (550 MW). Interestingly, the CO₂-selective membrane case destroyed the least amount of exergy within the power plant (967 MW), compared with the Baseline case (999 MW) and the H₂-membrane case (972 MW). The main problem with the CO₂-selective membrane case was the large amount of H₂ (48 MW worth of H₂... [more]
A Critical Study of Stationary Energy Storage Policies in Australia in an International Context: The Role of Hydrogen and Battery Technologies
Jason Moore, Bahman Shabani
January 31, 2019 (v1)
Subject: Energy Policy
Keywords: Australia, battery, electrical energy storage, Hydrogen, policy, Renewable and Sustainable Energy
This paper provides a critical study of current Australian and leading international policies aimed at supporting electrical energy storage for stationary power applications with a focus on battery and hydrogen storage technologies. It demonstrates that global leaders such as Germany and the U.S. are actively taking steps to support energy storage technologies through policy and regulatory change. This is principally to integrate increasing amounts of intermittent renewable energy (wind and solar) that will be required to meet high renewable energy targets. The relevance of this to the Australian energy market is that whilst it is unique, it does have aspects in common with the energy markets of these global leaders. This includes regions of high concentrations of intermittent renewable energy (Texas and California) and high penetration rates of residential solar photovoltaics (PV) (Germany). Therefore, Australian policy makers have a good opportunity to observe what is working in an i... [more]
Showing records 101 to 125 of 155. [First] Page: 1 2 3 4 5 6 7 Last