Energies

10 pages, 1577 KiB

Open AccessArticle

Growth and Production of Lipids in Raphidocelis subcapitata Immobilized in Sodium Alginate Beads

by Amel Benasla and Robert Hausler

Energies 2020, 13(2), 506; https://doi.org/10.3390/en13020506 - 20 Jan 2020

Cited by 5 | Viewed by 4181

The growth and production of lipids in the green microalga Raphidocelis subcapitata immobilized in alginate gel are studied. The beads are made from alginate (2% w/v) and CaCl₂ (1% w/v). The dry weight, the concentration of [...] Read more.

The growth and production of lipids in the green microalga Raphidocelis subcapitata immobilized in alginate gel are studied. The beads are made from alginate (2% w/v) and CaCl₂ (1% w/v). The dry weight, the concentration of cells, and the lipid content are determined after dissolution of the beads in a sodium phosphate buffer. The results show that variations in biomass do not reflect variations in the number of cells in R. subcapitata. Cells divide more rapidly (G_c = 3.45 ± 0.3 days) than biomass is produced (G_m = 4.1 ± 0.4 days) during the exponential growth phase. Therefore, the average mass of the immobilized cells decreases until it reaches its minimum at the end of the exponential phase. Thus, during the stationary phase, cell division ceases while biomass production continues, and the average mass of the immobilized cells increases. In the present study, it is shown that this increase is due to the accumulation of lipids following the depletion of nitrates and phosphates in the culture medium. A lipid content of 24.7 ± 2.5% (dcw) and a lipid productivity of LP = 29.8 ± 3.0 mg/L/day are recorded at the end of culture. These results suggest that immobilized R. subcapitata has promising potential for biodiesel production. Full article

► Show Figures

Graphical abstract

16 pages, 4010 KiB

Open AccessArticle

Control Strategies and Economic Analysis of an LTO Battery Energy Storage System for AGC Ancillary Service

by Bingxiang Sun, Xitian He, Weige Zhang, Yangxi Li, Minming Gong, Yang Yang, Xiaojia Su, Zhenlin Zhu and Wenzhong Gao

Energies 2020, 13(2), 505; https://doi.org/10.3390/en13020505 - 20 Jan 2020

Cited by 7 | Viewed by 3424

Abstract

With the rapid growth of renewable energy and the DC fast charge pile of the electric vehicle, their inherent volatility and randomness increase a power system’s unbalance of instantaneous power. The need for power grid frequency regulation is increasing. The energy storage system [...] Read more.

With the rapid growth of renewable energy and the DC fast charge pile of the electric vehicle, their inherent volatility and randomness increase a power system’s unbalance of instantaneous power. The need for power grid frequency regulation is increasing. The energy storage system (ESS) can be used to assist the thermal power unit so that a better frequency regulation result is obtained without changing the original operating mode of the unit. In this paper, a set of different charging/discharging control strategies of the lithium titanate battery (LTO) is proposed, which are chosen according to the interval of the State of energy (SOE) to improve the utilization rate of the ESS. Finally, the cost-benefit model of the ESS participating in automatic generation control ancillary service is established. Case analysis proves that after a 1.75 MWh ESS is configured for a 600 MW thermal power unit, K_p and D is increased from 1.42 to 6.38 and 2857 to 6895 MW. The net daily income is increased from 20,284 yuan to 199,900 yuan with a repayment period of 93 days. The results show that the control strategies and the energy configuration method can improve the performance and economic return of the system. Full article

(This article belongs to the Special Issue Thermal and Energy Management of Battery-Operated Systems)

► Show Figures

Graphical abstract

19 pages, 1253 KiB

Open AccessArticle

Taguchi Method and Numerical Simulation for Variable Viscosity and Non-Linear Boussinesq Effects on Natural Convection over a Vertical Truncated Cone in Porous Media

by Ken Ming Tu, Kuo Ann Yih, Fu I Chou and Jyh Horng Chou

Energies 2020, 13(2), 504; https://doi.org/10.3390/en13020504 - 20 Jan 2020

Cited by 3 | Viewed by 3121

Abstract

This study uses an optimization approach representation and numerical solution for the variable viscosity and non-linear Boussinesq effects on the free convection over a vertical truncated cone in porous media. The surface of the vertical truncated cone is maintained at uniform wall temperature [...] Read more.

This study uses an optimization approach representation and numerical solution for the variable viscosity and non-linear Boussinesq effects on the free convection over a vertical truncated cone in porous media. The surface of the vertical truncated cone is maintained at uniform wall temperature and uniform wall concentration (UWT/UWC). The viscosity of the fluid varies inversely to a linear function of the temperature. The partial differential equation is transformed into a non-similar equation and solved by Keller box method (KBM). Compared with previously published articles, the results are considered to be very consistent. Numerical results for the local Nusselt number and local Sherwood number with the six parameters (1) dimensionless streamwise coordinate ξ, (2) buoyancy ratio N, (3) Lewis number Le, (4) viscosity-variation parameter

θ_{r}

, (5) non-linear temperature parameter

δ_{1}

, and (6) non-linear concentration parameter

δ_{2}

are expressed in figures and tables. The Taguchi method was used to predict the best point of the maxima of the local Nusselt (Sherwood) number of 3.8636 (5.1156), resulting in ξ (4), N (10), Le (0.5),

θ_{r}

(−2),

δ_{1}

(2),

δ_{2}

(2) and ξ (4), N (10), Le (2),

θ_{r}

(−2),

δ_{1}

(2),

δ_{2}

(2), respectively. Full article

(This article belongs to the Section J: Thermal Management)

► Show Figures

Figure 1

Figure 1
Flow model and physical coordinate system. Full article ">Figure 2
The dimensionless temperature profile for two values of Le and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">θ</mi> <mi mathvariant="normal">r</mi> </msub> </mrow> </semantics></math>. Full article ">Figure 3
The dimensionless concentration profile for two values of Le and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">θ</mi> <mi mathvariant="normal">r</mi> </msub> </mrow> </semantics></math>. Full article ">Figure 4
The dimensionless temperature profile for two values of <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">δ</mi> <mn>1</mn> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">δ</mi> <mn>2</mn> </msub> </mrow> </semantics></math>. Full article ">Figure 5
The dimensionless concentration profile for two values of <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">δ</mi> <mn>1</mn> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="sans-serif">δ</mi> <mn>2</mn> </msub> </mrow> </semantics></math>. Full article ">

29 pages, 2132 KiB

Open AccessArticle

An All-At-Once Newton Strategy for Marine Methane Hydrate Reservoir Models

by Shubhangi Gupta, Barbara Wohlmuth and Matthias Haeckel

Energies 2020, 13(2), 503; https://doi.org/10.3390/en13020503 - 20 Jan 2020

Cited by 9 | Viewed by 3327

Abstract

The migration of methane through the gas hydrate stability zone (GHSZ) in the marine subsurface is characterized by highly dynamic reactive transport processes coupled to thermodynamic phase transitions between solid gas hydrates, free methane gas, and dissolved methane in the aqueous phase. The [...] Read more.

The migration of methane through the gas hydrate stability zone (GHSZ) in the marine subsurface is characterized by highly dynamic reactive transport processes coupled to thermodynamic phase transitions between solid gas hydrates, free methane gas, and dissolved methane in the aqueous phase. The marine subsurface is essentially a water-saturated porous medium where the thermodynamic instability of the hydrate phase can cause free gas pockets to appear and disappear locally, causing the model to degenerate. This poses serious convergence issues for the general-purpose nonlinear solvers (e.g., standard Newton), and often leads to extremely small time-step sizes. The convergence problem is particularly severe when the rate of hydrate phase change is much lower than the rate of gas dissolution. In order to overcome this numerical challenge, we have developed an all-at-once Newton scheme tailored to our gas hydrate model, which can handle rate-based hydrate phase change coupled with equilibrium gas dissolution in a mathematically consistent and robust manner. Full article

(This article belongs to the Special Issue Advances in Natural Gas Hydrates)

► Show Figures

Figure 1

12 pages, 2716 KiB

Open AccessArticle

Analysis of the Theoretical Performance of the Wind-Driven Pulverizing Aerator in the Conditions of Góreckie Lake—Maximum Wind Speed Method

by Ewa Osuch, Andrzej Osuch, Piotr Rybacki and Andrzej Przybylak

Energies 2020, 13(2), 502; https://doi.org/10.3390/en13020502 - 20 Jan 2020

Cited by 6 | Viewed by 2390

Abstract

The eutrophication of surface waters is a natural process; however, anthropogenic activities significantly accelerate degradation processes. Most lakes in Poland and in the world belong to the poor and unsatisfactory water quality class. It is therefore necessary to limit negative anthropogenic impacts and [...] Read more.

The eutrophication of surface waters is a natural process; however, anthropogenic activities significantly accelerate degradation processes. Most lakes in Poland and in the world belong to the poor and unsatisfactory water quality class. It is therefore necessary to limit negative anthropogenic impacts and introduce restoration methods, in particular those that are safe for the aquatic ecosystem. One of these is a pulverizing aeration Podsiadłowski method that uses only wind energy. The method allows for the moderate oxygenation of hypolimnion water, which maintains the oxygen conditions in the overlying water zone in the range of 0–1 mg O₂·dm^-1. The purpose of the work was to develop a new method of determining the efficiency of the aerator pulverization unit in the windy conditions of the lake. The method consists in determining the volumetric flow rates of water in the aerator pulverization unit, based on maximum hourly wind speeds. The pulverization efficiency in the conditions of Góreckie Lake was determined based on 6600 maximum hourly wind speeds in 2018. Based on the determined model, the theoretical performance of the machine was calculated, which in the conditions of Góreckie Lake in 2018 amounted to less than 79,000 m³ per year (nine months of the effective aerator operation). Full article

► Show Figures

Figure 1

20 pages, 5864 KiB

Open AccessArticle

Dynamic Modeling of a Parallel-Connected Solid Oxide Fuel Cell Stack System

by Chien-Chang Wu and Tsung-Lin Chen

Energies 2020, 13(2), 501; https://doi.org/10.3390/en13020501 - 20 Jan 2020

Cited by 6 | Viewed by 2943

Abstract

This study proposes novel simulation methods to model the power delivery function of a parallel-connected solid-oxide-fuel-cell stack system. The proposed methods are then used to investigate the possible thermal runaway induced by the performance mismatch between the employed stacks. A challenge in this [...] Read more.

This study proposes novel simulation methods to model the power delivery function of a parallel-connected solid-oxide-fuel-cell stack system. The proposed methods are then used to investigate the possible thermal runaway induced by the performance mismatch between the employed stacks. A challenge in this modeling study is to achieve the same output voltage but different output current for each employed stack. Conventional fuel-cell models cannot be used, because they employ fuel flow rates and stack currents as the input variables. These two variables are unknown in the parallel-connected stack systems. The proposed method solves the aforementioned problems by integrating the fuel supply dynamics with the conventional stack models and then arranging them in a multiple-feedback-loop configuration for conducting simulations. The simulation results indicate that the proposed methods can model the transient response of the parallel-connected stack system. Moreover, for the dynamics of the power distribution, there exists an unstable positive feedback loop between employed stacks when the stack temperatures are low, and a stable negative feedback loop when the stack temperatures are high. A thermal runaway could be initiated when the dynamics of the stack temperature is slower than that of the current distribution. Full article

(This article belongs to the Section A5: Hydrogen Energy)

► Show Figures

Graphical abstract

23 pages, 924 KiB

Open AccessArticle

International Trade Disputes over Renewable Energy—the Case of the Solar Photovoltaic Sector

by Agnieszka Hajdukiewicz and Bożena Pera

Energies 2020, 13(2), 500; https://doi.org/10.3390/en13020500 - 20 Jan 2020

Cited by 14 | Viewed by 6552

Abstract

The development of the renewable energy industry is a priority of economic policies in many countries, since it is viewed as one of the key growth sectors in the economy, playing also a very important role in mitigating climate change. At the international [...] Read more.

The development of the renewable energy industry is a priority of economic policies in many countries, since it is viewed as one of the key growth sectors in the economy, playing also a very important role in mitigating climate change. At the international level, renewable energy is an issue of international cooperation but also an area of high trade tensions between countries. The main goal of this paper is to examine the nature and sources of recent trade disputes in the solar photovoltaic sector, which is the most dynamically growing sector in the green energy industry. In particular, the paper explores the links between the contemporary trade disputes and modern protectionism and between protectionist policies and practices and the export competitiveness in the growing sector of the economy. To achieve the aim of the study we explore in detail the WTO trade disputes over photovoltaic (PV) products, which occurred in the years 2007–2018. The products covered by the analysis were solar modules and cells classified under the HS code 854140. In our research we also used measures of descriptive statistics, hierarchical cluster analysis and revealed comparative advantage indexes. Our key results demonstrate the existence of links between protectionist policy causing trade conflicts and the export competitiveness. The research has also allowed us to identify problems of future studies concerning the association between trade protectionism and global value chains in the solar energy sector. Full article

(This article belongs to the Special Issue Political Economy of Energy Policies)

► Show Figures

Figure 1

27 pages, 2573 KiB

Open AccessArticle

Is Investing in Companies Manufacturing Solar Components a Lucrative Business? A Decision Tree Based Analysis

by Sebastian Klaudiusz Tomczak, Anna Skowrońska-Szmer and Jan Jakub Szczygielski

Energies 2020, 13(2), 499; https://doi.org/10.3390/en13020499 - 20 Jan 2020

Cited by 5 | Viewed by 3041

Abstract

In an era of increasing energy production from renewable sources, the demand for components for renewable energy systems has dramatically increased. Consequently, managers and investors are interested in knowing whether a company associated with the semiconductor and related device manufacturing sector, especially the [...] Read more.

In an era of increasing energy production from renewable sources, the demand for components for renewable energy systems has dramatically increased. Consequently, managers and investors are interested in knowing whether a company associated with the semiconductor and related device manufacturing sector, especially the photovoltaic (PV) systems manufacturers, is a money-making business. We apply a new approach that extends prior research by applying decision trees (DTs) to identify ratios (i.e., indicators), which discriminate between companies within the sector that do (designated as “green”) and do not (“red”) produce elements of PV systems. Our results indicate that on the basis of selected ratios, green companies can be distinguished from the red companies without an in-depth analysis of the product portfolio. We also find that green companies, especially operating in China are characterized by lower financial performance, thus providing a negative (and unexpected) answer to the question posed in the title. Full article

(This article belongs to the Special Issue Economics of Sustainable and Renewable Energy Systems)

► Show Figures

Graphical abstract

19 pages, 6542 KiB

Open AccessArticle

Measurements Based Analysis of the Proton Exchange Membrane Fuel Cell Operation in Transient State and Power of Own Needs

by Andrzej Wilk and Daniel Węcel

Energies 2020, 13(2), 498; https://doi.org/10.3390/en13020498 - 20 Jan 2020

Cited by 1 | Viewed by 3036

Abstract

Currently, fuel cells are increasingly used in industrial installations, means of transport, and household applications as a source of electricity and heat. The paper presents the results of experimental tests of a Proton Exchange Membrane Fuel Cell (PEMFC) at variable load, which characterizes [...] Read more.

Currently, fuel cells are increasingly used in industrial installations, means of transport, and household applications as a source of electricity and heat. The paper presents the results of experimental tests of a Proton Exchange Membrane Fuel Cell (PEMFC) at variable load, which characterizes the cell’s operation in real installations. A detailed analysis of the power needed for operation fuel cell auxiliary devices (own needs power) was carried out. An analysis of net and gross efficiency was carried out in various operating conditions of the device. The measurements made show changes in the performance of the fuel cell during step changing or smooth changing of an electric load. Load was carried out as a change in the current or a change in the resistance of the receiver. The analysis covered the times of reaching steady states and the efficiency of the fuel cell system taking into account auxiliary devices. In the final part of the article, an analysis was made of the influence of the fuel cell duration of use on obtained parameters. The analysis of the measurement results will allow determination of the possibility of using fuel cells in installations with a rapidly changing load profile and indicate possible solutions to improve the performance of the installation. Full article

(This article belongs to the Special Issue Selected Papers from XII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019))

► Show Figures

Figure 1

15 pages, 1327 KiB

Open AccessArticle

Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm

by Omnia S. Elazab, Hany M. Hasanien, Ibrahim Alsaidan, Almoataz Y. Abdelaziz and S. M. Muyeen

Energies 2020, 13(2), 497; https://doi.org/10.3390/en13020497 - 20 Jan 2020

Cited by 97 | Viewed by 4220

Abstract

While addressing the issue of improving the performance of Photovoltaic (PV) systems, the simulation results are highly influenced by the PV model accuracy. Building the PV module mathematical model is based on its I-V characteristic, which is a highly nonlinear relationship. All the [...] Read more.

While addressing the issue of improving the performance of Photovoltaic (PV) systems, the simulation results are highly influenced by the PV model accuracy. Building the PV module mathematical model is based on its I-V characteristic, which is a highly nonlinear relationship. All the PV cells’ data sheets do not provide full information about their parameters. This leads to a nonlinear mathematical model with several unknown parameters. This paper proposes a new application of the Grasshopper Optimization Algorithm (GOA) for parameter extraction of the three-diode PV model of a PV module. Two commercial PV modules, Kyocera KC200GT and Solarex MSX-60 PV cells are utilized in examining the GOA-based PV model. The simulation results are executed under various temperatures and irradiations. The proposed PV model is evaluated by comparing its results with the experimental results of these commercial PV modules. The efficiency of the GOA-based PV model is tested by making a fair comparison among its numerical results and other optimization method-based PV models. With the GOA, a precise three-diode PV model shall be established. Full article

(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)

► Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
Three diode Photovoltaic (PV) model. Full article ">Figure 2
Pseudo code of the Grasshopper Optimization Algorithm (GOA). Full article ">Figure 3
Objective function convergence. (a) KC200GT; (b) MSX60. Full article ">Figure 4
GOA-based simulation results and practical data of KC200GT module at various temperature conditions, G = 1000 W/m2. (a) I-V curves; (b) P-V curves. Full article ">Figure 5
GOA-based simulation results and practical data of KC200GT module at various irradiation conditions, temperature = 25 °C (a) I-V curves; (b) P-V curves. Full article ">Figure 6
GOA-based simulation results and practical data of MSX-60 module at various temperature conditions, G = 1000 W/m2. (a) I-V curves. (b) P-V curves. Full article ">Figure 7
Absolute current error of the GOA-based PV model, MATLAB model, whale optimization algorithm (WOA) model, genetic algorithm (GA) model, and simulated annealing technique (SA) model. (a) KC200GT. (b) MSX-60. Full article ">

17 pages, 6431 KiB

Open AccessEditor’s ChoiceReview

Review of Time and Space Harmonics in Multi-Phase Induction Machine

by Vladimir Kindl, Radek Cermak, Zelmira Ferkova and Bohumil Skala

Energies 2020, 13(2), 496; https://doi.org/10.3390/en13020496 - 19 Jan 2020

Cited by 22 | Viewed by 7153

Abstract

Modern multiphase electric machines take advantage of additional degrees of freedom for various purposes, including harmonic current injection to increase torque per ampere. This new approach introduces a non-sinusoidal air gap flux density distribution causing additional technical problems and so the conventional assumptions [...] Read more.

Modern multiphase electric machines take advantage of additional degrees of freedom for various purposes, including harmonic current injection to increase torque per ampere. This new approach introduces a non-sinusoidal air gap flux density distribution causing additional technical problems and so the conventional assumptions need to be revised. The paper presents a methodology for synthesis of air gap magnetic field generated by a symmetrically distributed multiphase windings including the rotor field reaction due to the machine’s load. The proposed method is suitable either for single-layer or double layer windings and can be adopted either for full-pitched or chorded winding including slots effects. The article analyses the air gap flux density harmonic content and formulates conclusions important to multiphase induction motors. It also discusses effects of time harmonic currents and illustrates the principle of changing number of pole-pairs typical for harmonic currents being injected to increase torque. Full article

(This article belongs to the Special Issue Advances in Rotating Electric Machines)

► Show Figures

Graphical abstract

20 pages, 3241 KiB

Open AccessArticle

Research on Additional Control Technology Based on Energy Storage System for Improving Power Transfer Capacity of Multi-Terminal AC/DC System with Low Cost

by Zheng Wu, Laifu Li, Yubo Yuan, Xiaodong Yuan, Chenyu Zhang, Li Kong, Wei Pei and Wei Deng

Energies 2020, 13(2), 495; https://doi.org/10.3390/en13020495 - 19 Jan 2020

Viewed by 1973

Abstract

The multi-terminal AC/DC system will become one of the important forms of the future power grid. The negative impedance characteristic caused by the constant power load in the DC network will reduce the power transfer capacity between the terminals, especially when a grid [...] Read more.

The multi-terminal AC/DC system will become one of the important forms of the future power grid. The negative impedance characteristic caused by the constant power load in the DC network will reduce the power transfer capacity between the terminals, especially when a grid fault occurs in AC system at any terminal. Energy storage has played an important role in improving the stability of AC and DC systems. This paper proposes an additional control method based on an energy storage system to improve system power transfer capacity with low cost. The state space model of two-terminal AC/DC system is established, and the feedback laws for additional control are further designed by Lyapunov theory. Furthermore, the additional control strategies based on the energy storage system is built, without changing the existing control system of each control object. Finally, the corresponding system simulation model is established by Matlab/Simulink for analysis and verification. The research results show that the proposed additional control method is effective. The power transfer limitation can be overcome by only adding small damping energy with the stable DC voltages under large disturbances, and the power transfer capacity between the terminals can be significantly improved with low control cost. Full article

(This article belongs to the Section A1: Smart Grids and Microgrids)

► Show Figures

Graphical abstract

27 pages, 1267 KiB

Open AccessFeature PaperReview

Internet of Things (IoT) and the Energy Sector

by Naser Hossein Motlagh, Mahsa Mohammadrezaei, Julian Hunt and Behnam Zakeri

Energies 2020, 13(2), 494; https://doi.org/10.3390/en13020494 - 19 Jan 2020

Cited by 482 | Viewed by 39725

Abstract

Integration of renewable energy and optimization of energy use are key enablers of sustainable energy transitions and mitigating climate change. Modern technologies such the Internet of Things (IoT) offer a wide number of applications in the energy sector, i.e, in energy supply, transmission [...] Read more.

Integration of renewable energy and optimization of energy use are key enablers of sustainable energy transitions and mitigating climate change. Modern technologies such the Internet of Things (IoT) offer a wide number of applications in the energy sector, i.e, in energy supply, transmission and distribution, and demand. IoT can be employed for improving energy efficiency, increasing the share of renewable energy, and reducing environmental impacts of the energy use. This paper reviews the existing literature on the application of IoT in in energy systems, in general, and in the context of smart grids particularly. Furthermore, we discuss enabling technologies of IoT, including cloud computing and different platforms for data analysis. Furthermore, we review challenges of deploying IoT in the energy sector, including privacy and security, with some solutions to these challenges such as blockchain technology. This survey provides energy policy-makers, energy economists, and managers with an overview of the role of IoT in optimization of energy systems. Full article

(This article belongs to the Special Issue Sustainable Energy Systems: Efficiency and Optimization)

► Show Figures

Figure 1

18 pages, 5059 KiB

Open AccessArticle

Bio-Crude Production through Aqueous Phase Recycling of Hydrothermal Liquefaction of Sewage Sludge

by Ayaz A. Shah, Saqib S. Toor, Tahir H. Seehar, Rasmus S. Nielsen, Asbjørn H. Nielsen, Thomas H. Pedersen and Lasse A. Rosendahl

Energies 2020, 13(2), 493; https://doi.org/10.3390/en13020493 - 19 Jan 2020

Cited by 56 | Viewed by 4862

Abstract

Hydrothermal liquefaction (HTL) is a promising technology for the production of bio-crude. However, some unresolved issues still exist within HTL, which need to be resolved before its promotion on a commercial scale. The management of the aqueous phase is one of the leading [...] Read more.

Hydrothermal liquefaction (HTL) is a promising technology for the production of bio-crude. However, some unresolved issues still exist within HTL, which need to be resolved before its promotion on a commercial scale. The management of the aqueous phase is one of the leading challenges related to HTL. In this study, the sewage sludge has been liquefied at 350 °C with and without catalyst (K₂CO₃). Subsequently, aqueous phase recycling was applied to investigate the effect of recycling on bio-crude properties. Obtained results showed that the energy recovery in the form of bio-crude increased by 50% via aqueous phase recirculation, whereas nitrogen content in the bio-crude was approximately doubled after eight rounds of recycling. GCMS characterization of the aqueous phase indicated acetic acid as a major water-soluble compound, which employed as a catalyst (0.56 M), and resulted in a negligible increase in bio-crude yield. ICP-AES highlighted that the majority of the inorganics were transferred to the solid phase, while the higher accumulation of potassium and sodium was found in the aqueous phase via successive rounds of recycling. Full article

(This article belongs to the Special Issue Thermochemical Biorefining II)

► Show Figures

Graphical abstract

18 pages, 2924 KiB

Open AccessArticle

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

by Ahmed Farhan, Mohamed Abdelrahem, Amr Saleh, Adel Shaltout and Ralph Kennel

Energies 2020, 13(2), 492; https://doi.org/10.3390/en13020492 - 19 Jan 2020

Cited by 30 | Viewed by 3643

Abstract

In this paper, a simplified efficient method for sensorless finite set current predictive control (FSCPC) for synchronous reluctance motor (SynRM) based on extended Kalman filter (EKF) is proposed. The proposed FSCPC is based on reducing the computation burden of the conventional FSCPC by [...] Read more.

In this paper, a simplified efficient method for sensorless finite set current predictive control (FSCPC) for synchronous reluctance motor (SynRM) based on extended Kalman filter (EKF) is proposed. The proposed FSCPC is based on reducing the computation burden of the conventional FSCPC by using the commanded reference currents to directly calculate the reference voltage vector (RVV). Therefore, the cost function is calculated for only three times and the necessity to test all possible voltage vectors will be avoided. For sensorless control, EKF is composed to estimate the position and speed of the rotor. Whereas the performance of the proposed FSCPC essentially necessitates the full knowledge of SynRM parameters and provides an insufficient response under the parameter mismatch between the controller and the motor, online parameter estimation based on EKF is combined in the proposed control strategy to estimate all parameters of the machine. Furthermore, for simplicity, the parameters of PI speed controller and initial values of EKF covariance matrices are tuned offline using Particle Swarm Optimization (PSO). To demonstrate the feasibility of the proposed control, it is implemented in MATLAB/Simulink and tested under different operating conditions. Simulation results show high robustness and reliability of the proposed drive. Full article

(This article belongs to the Special Issue Electric Machines and Drive Systems for Emerging Applications)

► Show Figures

Figure 1

13 pages, 1092 KiB

Open AccessArticle

Enhanced Biogas Production of Cassava Wastewater Using Zeolite and Biochar Additives and Manure Co-Digestion

by Chibueze G. Achi, Amro Hassanein and Stephanie Lansing

Energies 2020, 13(2), 491; https://doi.org/10.3390/en13020491 - 19 Jan 2020

Cited by 26 | Viewed by 7126

Abstract

Currently, there are challenges with proper disposal of cassava processing wastewater, and a need for sustainable energy in the cassava industry. This study investigated the impact of co-digestion of cassava wastewater (CW) with livestock manure (poultry litter (PL) and dairy manure (DM)), and [...] Read more.

Currently, there are challenges with proper disposal of cassava processing wastewater, and a need for sustainable energy in the cassava industry. This study investigated the impact of co-digestion of cassava wastewater (CW) with livestock manure (poultry litter (PL) and dairy manure (DM)), and porous adsorbents (biochar (B-Char) and zeolite (ZEO)) on energy production and treatment efficiency. Batch anaerobic digestion experiments were conducted, with 16 treatments of CW combined with manure and/or porous adsorbents using triplicate reactors for 48 days. The results showed that CW combined with ZEO (3 g/g total solids (TS)) produced the highest cumulative CH₄ (653 mL CH₄/g VS), while CW:PL (1:1) produced the most CH₄ on a mass basis (17.9 mL CH₄/g substrate). The largest reduction in lag phase was observed in the mixture containing CW (1:1), PL (1:1), and B-Char (3 g/g TS), yielding 400 mL CH₄/g volatile solids (VS) after 15 days of digestion, which was 84.8% of the total cumulative CH₄ from the 48-day trial. Co-digesting CW with ZEO, B-Char, or PL provided the necessary buffer needed for digestion of CW, which improved the process stability and resulted in a significant reduction in chemical oxygen demand (COD). Co-digestion could provide a sustainable strategy for treating and valorizing CW. Scale-up calculations showed that a CW input of 1000–2000 L/d co-digested with PL (1:1) could produce 9403 m³ CH₄/yr using a 50 m³ digester, equivalent to 373,327 MJ/yr or 24.9 tons of firewood/year. This system would have a profit of $5642/yr and a $47,805 net present value. Full article

(This article belongs to the Special Issue Biogas for Rural Areas)

► Show Figures

Graphical abstract

24 pages, 1485 KiB

Open AccessArticle

Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness

by Toshiyuki Sueyoshi and Mika Goto

Energies 2020, 13(2), 490; https://doi.org/10.3390/en13020490 - 19 Jan 2020

Cited by 7 | Viewed by 3569

Abstract

This study examines the performance of Japanese electric power companies from 2003 to 2020. We use an observed data set from 2003 to 2015 and a forecasted data set from 2016 to 2020. The Japanese deregulation of the industry needs to be completed [...] Read more.

This study examines the performance of Japanese electric power companies from 2003 to 2020. We use an observed data set from 2003 to 2015 and a forecasted data set from 2016 to 2020. The Japanese deregulation of the industry needs to be completed by April 2020. As a method, this study uses data envelopment analysis (DEA) environmental assessment, which measures performance from a holistic perspective. This research adds a new analytical capability to the DEA-based assessment by including an analytical ability to handle an “imprecise” data set. We apply the proposed approach to investigate the performance of these companies before and after the disaster of Fukushima Daiichi nuclear power plant (11 March 2011). All electric power companies have suffered from business damage due to the nuclear disaster. The Japanese government has developed a policy scheme on how to recover from the huge handling costs resulting from the disaster. Nuclear energy has been long considered the most useful approach to handle climate change. However, many industrial nations have changed policy direction since the nuclear disaster. The Japanese government allocates the costs to not only Tokyo Electric Power Company, which produced the nuclear disaster, but also the other incumbent electric power companies that own nuclear power plants. Under the current Japanese scheme, financial conditions have been gradually recovering from the damage due to the managerial efforts and by indirectly allocating the expenditure to consumers and tax payers. Full article

(This article belongs to the Special Issue Data Envelopment Analysis (DEA) Applied to Energy and Environment)

► Show Figures

Figure 1

13 pages, 4554 KiB

Open AccessArticle

Electric Vehicle Battery Performance Investigation Based on Real World Current Harmonics

by Sid-Ali Amamra, Yashraj Tripathy, Anup Barai, Andrew D. Moore and James Marco

Energies 2020, 13(2), 489; https://doi.org/10.3390/en13020489 - 19 Jan 2020

Cited by 15 | Viewed by 4564

Abstract

Electric vehicle (EV) powertrains consist of power electronic components as well as electric machines to manage the energy flow between different powertrain subsystems and to deliver the necessary torque and power requirements at the wheels. These power subsystems can generate undesired electrical harmonics [...] Read more.

Electric vehicle (EV) powertrains consist of power electronic components as well as electric machines to manage the energy flow between different powertrain subsystems and to deliver the necessary torque and power requirements at the wheels. These power subsystems can generate undesired electrical harmonics on the direct current (DC) bus of the powertrain. This may lead to the on-board battery being subjected to DC current superposed with undesirable high- and low- frequency current oscillations, known as ripples. From real-world measurements, significant current harmonics perturbations within the range of 50 Hz to 4 kHz have been observed on the high voltage DC bus of the EV. In the limited literature, investigations into the impact of these harmonics on the degradation of battery systems have been conducted. In these studies, the battery systems were supplied by superposed current signals i.e., DC superposed by a single frequency alternating current (AC). None of these studies considered applying the entire spectrum of the ripple current measured in the real-world scenario, which is focused on in this research. The preliminary results indicate that there is no difference concerning capacity fade or impedance rise between the cells subjected to just DC current and those subjected additionally to a superposed AC ripple current. Full article

(This article belongs to the Section E: Electric Vehicles)

► Show Figures

Graphical abstract

24 pages, 3534 KiB

Open AccessArticle

Assessing the Techno-Economics and Environmental Attributes of Utility-Scale PV with Battery Energy Storage Systems (PVS) Compared to Conventional Gas Peakers for Providing Firm Capacity in California

by Sashwat Roy, Parikhit Sinha and Syed Ismat Shah

Energies 2020, 13(2), 488; https://doi.org/10.3390/en13020488 - 19 Jan 2020

Cited by 10 | Viewed by 5850

Abstract

The United States needs to add at least 20 GW of peaking capacity to its grid over the next 10 years, led by large-scale projects in California, Texas and Arizona. Of that, about 60% must be installed between 2023 and 2027, meaning that [...] Read more.

The United States needs to add at least 20 GW of peaking capacity to its grid over the next 10 years, led by large-scale projects in California, Texas and Arizona. Of that, about 60% must be installed between 2023 and 2027, meaning that the energy storage industry has more time to build an economic advantage by lowering costs and improving performance to compete with conventional gas peakers. In this paper, we assess the technical feasibility of utility-scale PV plus battery energy storage (PVS) to provide high capacity factors during summer peak demand periods using a target period capacity factor (TPCF) framework as an alternative to natural gas peakers. Also, a new metric called “Lifetime Cost of Operation” (LCOO) is introduced to provide a metric, focusing on the raw installation and operational costs of PVS technology compared to natural-gas fired peaker plants (simple cycle or conventional combustion turbine) during the target period window. The target period window is the time period during which it is valuable for power plants to provide firm capacity usually during early or late evening peak demand periods in the summer months (from April to September); a framework for which is increasingly being asked for by utilities in recent request for proposals (RFPs). A 50 MW_AC PV system with 60 MW/240 MWh battery storage modelled in California can provide >98% capacity factor over a 7–10 p.m. target period with lower LCOO than a conventional combustion turbine natural gas power plant. Full article

► Show Figures

Graphical abstract

19 pages, 2721 KiB

Open AccessArticle

Optimal Design of a Multibrid Permanent Magnet Generator for a Tidal Stream Turbine

by Khalil Touimi, Mohamed Benbouzid and Zhe Chen

Energies 2020, 13(2), 487; https://doi.org/10.3390/en13020487 - 19 Jan 2020

Cited by 7 | Viewed by 3780

Abstract

Tidal stream energy is acquiring more attention as a future potential renewable energy source. Considering the harsh submarine environment, the main challenges that face the tidal stream turbine (TST) industry are cost and reliability. Hence, simple and reliable technologies, especially considering the drivetrain, [...] Read more.

Tidal stream energy is acquiring more attention as a future potential renewable energy source. Considering the harsh submarine environment, the main challenges that face the tidal stream turbine (TST) industry are cost and reliability. Hence, simple and reliable technologies, especially considering the drivetrain, are preferred. The multibrid drivetrain configuration with only a single stage gearbox is one of the promising concepts for TST systems. In this context, this paper proposes the design optimization of a multibrid permanent magnet generator (PMG), the design of a planetary gearbox, and afterwards analyzes the multibrid concept cost-effectiveness for TST applications. Firstly, the system analytical model, which consists of a single-stage gearbox and a medium speed PMG, is presented. The optimization methodology is afterwards highlighted. Lastly, the multibrid system optimization results for different gear ratios including the direct-drive topology are discussed and compared where the suitable gear ratio (topology) is investigated. The achieved results show that the multibrid concept in TST applications seems more attractive than the direct-drive one especially for high power ratings. Full article

(This article belongs to the Special Issue Marine Tidal and Wave Energy Converters: Technologies, Conversions, Grid Interface, Fault Detection, and Fault-Tolerant Control)

► Show Figures

Figure 1

19 pages, 13758 KiB

Open AccessArticle

Prediction of Reservoir Quality from Log-Core and Seismic Inversion Analysis with an Artificial Neural Network: A Case Study from the Sawan Gas Field, Pakistan

by Zhang Qiang, Qamar Yasin, Naser Golsanami and Qizhen Du

Energies 2020, 13(2), 486; https://doi.org/10.3390/en13020486 - 19 Jan 2020

Cited by 47 | Viewed by 5655

Abstract

This paper presents a novel approach that aims to predict better reservoir quality regions from seismic inversion and spatial distribution of key reservoir properties from well logs. The reliable estimation of lithology and reservoir parameters at sparsely located wells in the Sawan gas [...] Read more.

This paper presents a novel approach that aims to predict better reservoir quality regions from seismic inversion and spatial distribution of key reservoir properties from well logs. The reliable estimation of lithology and reservoir parameters at sparsely located wells in the Sawan gas field is still a considerable challenge. This is due to three main reasons: (a) the extreme heterogeneity in the depositional environments, (b) sand-shale intercalations, and (c) repetition of textural changes from fine to coarse sandstone and very coarse sandstone in the reservoir units. In this particular study, machine learning (ML) inversion algorithm was selected to predict the spatial variations of acoustic impedance (AI), porosity, and saturation. While trained in a supervised mode, the support vector machine (SVM) inversion algorithm performed effectively in identifying and mapping individual reservoir properties to delineate and quantify fluid-rich zones. Meanwhile, the Sequential Gaussian Simulation (SGS) and Gaussian Indicator Simulation (GIS) algorithms were employed to determine the spatial variability of lithofacies and porosity from well logs and core analyses data. The calibration of the detailed spatial variations from post-stack seismic inversion using SVM and wireline logs data indicated an appropriate agreement, i.e., variations in AI is related to the variations in reservoir facies and parameters. From the current study, it was concluded that in a highly heterogeneous reservoir, the integration of SVM and GIS algorithms is a reliable approach to achieve the best estimation of the spatial distribution of detailed reservoir characteristics. The results obtained in this study would also be helpful to minimize the uncertainty in drilling, production, and injection in the Sawan gas field of Pakistan as well as other reservoirs worldwide with similar geological settings. Full article

(This article belongs to the Section H: Geo-Energy)

► Show Figures

Figure 1

10 pages, 2650 KiB

Open AccessArticle

Computer Simulation of Stochastic Energy Fluctuations in Tensile Test of Elasto-Plastic Porous Metallic Material

by Marcin Kamiński and Michał Strąkowski

Energies 2020, 13(2), 485; https://doi.org/10.3390/en13020485 - 19 Jan 2020

Viewed by 2222

Abstract

The main aim of this work is the computational implementation and numerical simulation of a metal porous plasticity model with an uncertain initial microdefects’ volume fraction using the Stochastic Finite Element Method (SFEM) based on the semi-analytical probabilistic technique. The metal porous plasticity [...] Read more.

The main aim of this work is the computational implementation and numerical simulation of a metal porous plasticity model with an uncertain initial microdefects’ volume fraction using the Stochastic Finite Element Method (SFEM) based on the semi-analytical probabilistic technique. The metal porous plasticity model applied here is based on Gurson–Tvergaard–Needleman theory and is included in the ABAQUS finite element system, while the external probabilistic procedures were programmed in the computer algebra system MAPLE 2017. Hybrid usage of these two computer systems enabled the determination of fluctuations in elastic and plastic energies due to initial variations in the ratio of the metal micro-voids, and the calculation of the first four probabilistic moments and coefficients of these energies due to Gaussian distribution of this ratio. A comparison with the Monte-Carlo simulation validated the numerical efficiency of the proposed approach for any level of input uncertainty and for the first four probabilistic characteristics traditionally seen in the experimental series. Full article

(This article belongs to the Special Issue Recent Advances in Stochastic Methods for Energy Analysis)

► Show Figures

Figure 1

19 pages, 2725 KiB

Open AccessArticle

Electrical Insulator Fault Forecasting Based on a Wavelet Neuro-Fuzzy System

by Stéfano Frizzo Stefenon, Roberto Zanetti Freire, Leandro dos Santos Coelho, Luiz Henrique Meyer, Rafael Bartnik Grebogi, William Gouvêa Buratto and Ademir Nied

Energies 2020, 13(2), 484; https://doi.org/10.3390/en13020484 - 19 Jan 2020

Cited by 54 | Viewed by 3957

Abstract

The surface contamination of electrical insulators can increase the electrical conductivity of these components, which may lead to faults in the electrical power system. During inspections, ultrasound equipment is employed to detect defective insulators or those that may cause failures within a certain [...] Read more.

The surface contamination of electrical insulators can increase the electrical conductivity of these components, which may lead to faults in the electrical power system. During inspections, ultrasound equipment is employed to detect defective insulators or those that may cause failures within a certain period. Assuming that the signal collected by the ultrasound device can be processed and used for both the detection of defective insulators and prediction of failures, this study starts by presenting an experimental procedure considering a contaminated insulator removed from the distribution line for data acquisition. Based on the obtained data set, an offline time series forecasting approach with an Adaptive Neuro-Fuzzy Inference System (ANFIS) was conducted. To improve the time series forecasting performance and to reduce the noise, Wavelet Packets Transform (WPT) was associated to the ANFIS model. Once the ANFIS model associated with WPT has distinct parameters to be adjusted, a complete evaluation concerning different model configurations was conducted. In this case, three inference system structures were evaluated: grid partition, fuzzy c-means clustering, and subtractive clustering. A performance analysis focusing on computational effort and the coefficient of determination provided additional parameter configurations for the model. Taking into account both parametrical and statistical analysis, the Wavelet Neuro-Fuzzy System with fuzzy c-means showed that it is possible to achieve impressive accuracy, even when compared to classical approaches, in the prediction of electrical insulators conditions. Full article

(This article belongs to the Special Issue Machine Learning for Energy Systems)

► Show Figures

Graphical abstract

24 pages, 8301 KiB

Open AccessArticle

Expansion of High Efficiency Region of Wind Energy Centrifugal Pump Based on Factorial Experiment Design and Computational Fluid Dynamics

by Wei Li, Leilei Ji, Weidong Shi, Ling Zhou, Hao Chang and Ramesh K. Agarwal

Energies 2020, 13(2), 483; https://doi.org/10.3390/en13020483 - 19 Jan 2020

Cited by 13 | Viewed by 3006

Abstract

The wind energy pump system is a new green energy technology. The wide high efficiency region of pump is of great significance for energy conservation of wind power pumping system. In this study, factorial experiment design (FED) and computational fluid dynamics (CFD) are [...] Read more.

The wind energy pump system is a new green energy technology. The wide high efficiency region of pump is of great significance for energy conservation of wind power pumping system. In this study, factorial experiment design (FED) and computational fluid dynamics (CFD) are employed to optimize the hydraulic design of wind energy centrifugal pump (WECP). The blade outlet width b₂, blade outlet angle β₂, and blade wrap angle ψ are chosen as factors of FED. The effect of the factors on the efficiency under the conditions of 0.6Q_des, 0.8Q_des, 1.0Q_des, and 1.4Q_des is systematically analyzed. The matching feature of various volute tongue angle with the optimized impeller is also investigated numerically and experimentally. After the optimization, the pump head changes smoothly during full range of flow condition and the high efficiency region is effectively improved. The weighted average efficiency of four conditions increases by 2.55%, which broadens the high efficiency region of WECP globally. Besides, the highest efficiency point moves towards the large flow conditions. The research results provide references for expanding the efficient operation region of WECP. Full article

(This article belongs to the Special Issue Design, Fabrication and Performance of Wind Turbines 2020)

► Show Figures

Figure 1

22 pages, 1354 KiB

Open AccessReview

Factors Affecting the Performance of Membrane Osmotic Processes for Bioenergy Development

by Wen Yi Chia, Kuan Shiong Khoo, Shir Reen Chia, Kit Wayne Chew, Guo Yong Yew, Yeek-Chia Ho, Pau Loke Show and Wei-Hsin Chen

Energies 2020, 13(2), 481; https://doi.org/10.3390/en13020481 - 19 Jan 2020

Cited by 10 | Viewed by 8331

Abstract

Forward osmosis (FO) and pressure-retarded osmosis (PRO) have gained attention recently as potential processes to solve water and energy scarcity problems with advantages over pressure-driven membrane processes. These processes can be designed to produce bioenergy and clean water at the same time (i.e., [...] Read more.

Forward osmosis (FO) and pressure-retarded osmosis (PRO) have gained attention recently as potential processes to solve water and energy scarcity problems with advantages over pressure-driven membrane processes. These processes can be designed to produce bioenergy and clean water at the same time (i.e., wastewater treatment with power generation). Despite having significant technological advancement, these bioenergy processes are yet to be implemented in full scale and commercialized due to its relatively low performance. Hence, massive and extensive research has been carried out to evaluate the variables in FO and PRO processes such as osmotic membrane, feed solutions, draw solutions, and operating conditions in order to maximize the outcomes, which include water flux and power density. However, these research findings have not been summarized and properly reviewed. The key parts of this review are to discuss the factors influencing the performance of FO and PRO with respective resulting effects and to determine the research gaps in their optimization with the aim of further improving these bioenergy processes and commercializing them in various industrial applications. Full article

(This article belongs to the Special Issue Biomass Processing for Biofuels, Bioenergy and Chemicals)

► Show Figures

Graphical abstract

39 pages, 6922 KiB

Open AccessArticle

Measuring Impact of Uncertainty in a Stylized Macroeconomic Climate Model within a Dynamic Game Perspective

by Valentijn Stienen and Jacob Engwerda

Energies 2020, 13(2), 482; https://doi.org/10.3390/en13020482 - 18 Jan 2020

Cited by 1 | Viewed by 2376

Abstract

In this paper, we present a stylized dynamic interdependent multi-country energy transition model. The goal of this paper is to provide a starting point for examining the impact of uncertainty in such models. To do this, we define a simple model based on [...] Read more.

In this paper, we present a stylized dynamic interdependent multi-country energy transition model. The goal of this paper is to provide a starting point for examining the impact of uncertainty in such models. To do this, we define a simple model based on the standard Solow macroeconomic growth model. We consider this model in a two-country setting using a non-cooperative dynamic game perspective. Total carbon dioxide (CO₂) emission is added in this growth model as a factor that has a negative impact on economic growth, whereas production can be realized using either green or fossil energy. Additionally, a factor is incorporated that captures the difficulties of using green energy, such as accessibility per country. We calibrate this model for a two-player setting, in which one player represents all countries affiliated with the Organization for Economic Cooperation and Development (OECD) and the other player represents countries not affiliated with the OECD. It is shown that, in general, the model is capable to describe energy transitions towards quite different equilibrium constellations. It turns out that this is mainly caused by the choice of policy parameters chosen in the objective function. We also analyze the optimal response strategies of both countries if the model in equilibrium would be hit by a CO₂ shock. Also, here we observe a quite natural response. As the model is quite stylized, a serious study is performed to the impact several model uncertainties have on the results. It turns out that, within the OECD/non-OECD framework, most of the considered uncertainties do not impact results much. However, the way we calibrate policy parameters does carry much uncertainty and, as such, influences equilibrium outcomes a lot. Full article

(This article belongs to the Special Issue Assessment of Energy–Environment–Economy Interrelations)

► Show Figures

Figure 1

10 pages, 2123 KiB

Open AccessArticle

Preparation of Solid Fuel Hydrochar over Hydrothermal Carbonization of Red Jujube Branch

by Zhiyu Li, Weiming Yi, Zhihe Li, Chunyan Tian, Peng Fu, Yuchun Zhang, Ling Zhou and Jie Teng

Energies 2020, 13(2), 480; https://doi.org/10.3390/en13020480 - 18 Jan 2020

Cited by 18 | Viewed by 3296

Abstract

Biomass energy is becoming increasingly important, owing to the decreasing supply of fossil fuels and growing environmental problems. Hydrothermal carbonization (HTC) is a promising technology for producing solid biofuels from agricultural and forestry residues because of its lower fossil-fuel consumption. In this study, [...] Read more.

Biomass energy is becoming increasingly important, owing to the decreasing supply of fossil fuels and growing environmental problems. Hydrothermal carbonization (HTC) is a promising technology for producing solid biofuels from agricultural and forestry residues because of its lower fossil-fuel consumption. In this study, HTC was used to upgrade red jujube branch (RJB) to prepare hydrochar at six temperatures (220, 240, 260, 280, 300, and 320 °C) for 120 min, and at 300 °C for 30, 60, 90, and 120 min. The results showed that the energy recovery efficiency (ERE) reached maximum values of 80.42% and 79.86% at a residence time of 90 min and a reaction temperature of 220 °C, respectively. X-ray diffraction results and Fourier transform infrared spectroscopy measurements show that the microcrystal features of RJB were destroyed, whereas the hydrochar contained an amorphous structure and mainly lignin fractions at increased temperatures. Thermogravimetric analysis shows that the hydrochar had better fuel qualities than RJB, making hydrochar easier to burn. Full article

(This article belongs to the Special Issue Catalytic Conversion of Energy Resources into High Value-Added Products)

► Show Figures

Figure 1

12 pages, 2186 KiB

Open AccessArticle

Production, Characterization, and Evaluation of Pellets from Rice Harvest Residues

by Cristina Moliner, Alberto Lagazzo, Barbara Bosio, Rodolfo Botter and Elisabetta Arato

Energies 2020, 13(2), 479; https://doi.org/10.3390/en13020479 - 18 Jan 2020

Cited by 16 | Viewed by 4129

Abstract

Pellets from residues from rice harvest (i.e., straw and husk) were produced and their main properties were evaluated. Firstly, rice straw pellets were produced at lab scale at varying operational conditions (i.e., load compression and wt % of feeding moisture content) to evaluate [...] Read more.

Pellets from residues from rice harvest (i.e., straw and husk) were produced and their main properties were evaluated. Firstly, rice straw pellets were produced at lab scale at varying operational conditions (i.e., load compression and wt % of feeding moisture content) to evaluate their suitability for palletization. Successively, rice straw and husk pellets were commercially produced. All the samples were characterized in terms of their main physical, chemical, and physico-chemical properties. In addition, axial/diametral compression and durability tests were performed to assess their mechanical performance. All the analyzed properties were compared with the established quality standards for non-woody pellets. In general, rice straw pellets presented suitable properties for their use as pelletized fuels. Rice husk pellets fell out of the standards in recommended size or durability and thus preliminary treatments might be required prior their use as fuels. Full article

(This article belongs to the Special Issue Selected Papers from 27th European Biomass Conference & Exhibition (EUBCE 2019))

► Show Figures

Figure 1

16 pages, 5246 KiB

Open AccessArticle

An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries

by Xingtao Liu, Chaoyi Zheng, Ji Wu, Jinhao Meng, Daniel-Ioan Stroe and Jiajia Chen

Energies 2020, 13(2), 478; https://doi.org/10.3390/en13020478 - 18 Jan 2020

Cited by 34 | Viewed by 3706

Abstract

In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter (PF). An improved genetic particle filter (GPF), owing to the advantages of the PF and genetic algorithm, is [...] Read more.

In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter (PF). An improved genetic particle filter (GPF), owing to the advantages of the PF and genetic algorithm, is proposed to overcome the disadvantage of the traditional particle filter: lacking the diversity of particles. Firstly, the relationship between SOC and open-circuit voltage (OCV) is identified on the low-current OCV test. Secondly, a first-order resistor and capacitance (RC) model is established, then, the least-squares algorithm is used to identify the model parameters via the incremental current test. Thirdly, GPF and the improved GPF (IGPF) are proposed to solve the problems of the PF. The method based on the IGPF is proposed to estimate the state of power (SOP). Finally, IGPF, GPF, and PF are employed to estimate the SOC on the federal urban driving schedule (FUDS). The results show that compared with traditional PF, the errors of the IGPF are 20% lower, and compared with GPF, the maximum error of the IGPF has declined 1.6% SOC. The SOC that is estimated by the IGPF is applied to estimate the SOP for battery, considering the restrictions from the peak SOC, the voltage, and the instruction manual. The result shows that the method based on the IGPF can successfully estimate SOP. Full article

(This article belongs to the Special Issue Testing and Management of Lithium-Ion Batteries)

► Show Figures

Figure 1

24 pages, 4013 KiB

Open AccessArticle

An Energy Optimal Dispatching Model of an Integrated Energy System Based on Uncertain Bilevel Programming

by Xueying Song, Hongyu Lin, Gejirifu De, Hanfang Li, Xiaoxu Fu and Zhongfu Tan

Energies 2020, 13(2), 477; https://doi.org/10.3390/en13020477 - 18 Jan 2020

Cited by 10 | Viewed by 2366

Abstract

An integrated energy system (IES) involving a large number of decision-makers causes problems of bad coordination between energy sub-networks and the IES and it is not able to fully consider the multi-energy complementarity among multiple decision-makers. In this context, firstly, this paper constructs [...] Read more.

An integrated energy system (IES) involving a large number of decision-makers causes problems of bad coordination between energy sub-networks and the IES and it is not able to fully consider the multi-energy complementarity among multiple decision-makers. In this context, firstly, this paper constructs an energy optimal dispatching model of an IES based on uncertain bilevel programming. The upper model takes the transformation matrix of energy hubs as the upper decision-maker, taking the minimum operation cost of the IES in the form of confidence as the objective function; the lower model takes each optimal operation plan of the electric power sub-network, the thermal energy sub-network, and the gas energy sub-network as the lower decision-makers, aiming at the operation economy of each sub-network and considering their operation as necessary constraints. Secondly, a firefly algorithm with chaotic search and an improved light intensity coefficient is designed to improve the proposed model. An empirical analysis was conducted on a pilot area of an integrated energy system in Hebei Province. The results show the following: (1) The typical daily operating cost of the integrated energy system in winter is lower than that in summer; (2) under the same load level, the typical winter and summer running costs of the integrated energy system are lower than that of the traditional microgrid; (3) compared with the particle swarm optimization algorithm, the improved firefly algorithm proposed in the paper has obvious advantages both in terms of running cost and solution time; and (4) when the confidence of the objective function and the constraints increases, the operating cost of various schemes also increase. The above results validate the effectiveness of the energy optimal dispatching model of the IES and the economy of the system operation under the multiple decision-maker hierarchy. Full article

► Show Figures

Figure 1

Journal Menu

Journal Browser

Energies, Volume 13, Issue 2 (January-2 2020) – 220 articles

Further Information

Guidelines

MDPI Initiatives

Follow MDPI