Hybrid Power Generation Research Articles

Transition towards a hybrid energy system: Combined effects of renewable portfolio standards and carbon emission trading

A hybrid energy system (HES) utilizing complementary energy sources allows for high-quality development of renewables. It is a viable pathway in achieving the low-carbon transition of the power sector. Both Renewable Portfolio Standards (RPS) and Carbon Emission Trading (CET) regulate the low-carbon behavior of conventional power enterprises. This highlights the importance of investigating how the policy mix can drive the transition towards hybrid power generation. This paper develops an evolutionary game between local governments and power enterprises to explore the influence of policy-related parameters on the transition to a hybrid energy system. We find that implementing the policy mix is imperative to the transition when the technology cost of a hybrid energy system is not competitive. Power enterprises can control investment costs through the structure of multi-energy power generation, but are also limited by the lack of renewable absorption capacity. We also find an additive effect between RPS and CET, albeit with differences. Raising the price of tradeable green power certificates (TGC) can effectively facilitate the transition under either a single RPS policy or the policy mix. Reducing initial carbon permits makes sense only under the policy mix. Moreover, the coordinated implementation of multiple policies can contribute to the transition more efficiently, but it deserves attention to avoiding policy redundancy.

Hybrid Power Generation: Experimental Investigation of PCM and TEG Integration with Photovoltaic Systems

Global warming and escalating energy consumption have presented pressing issues, catalyzing a pivotal shift towards environmental development worldwide. In recent years, the installed capacity of solar photovoltaic (PV) cells, particularly crystalline silicon cells, has experienced a significant surge. Among the myriad studies aimed at enhancing the efficiency of PV cells' power generation, one prominent avenue involves reducing the internal temperature of these cells. The primary objectives of the present study revolved around augmenting power generation and improving photocell efficiency. This was pursued through the strategic blending of nanoparticles with phase change material (PCM), with variations in insertion percentages to modulate the heat absorption capacity of the PV panel. Additionally, the study sought to evaluate the impact of integrating Thermoelectric Generator (TEG) modules and a water-based nano-fluid cooling system beneath the TEG setup. These measures aimed to effectively monitor the conversion of waste heat into electrical energy. Consequently, the proposed orientation of PV panels – involving PCM adjustment via alteration of insertion percentages, coupled with TEG integration and water-based nano-fluid cooling technology – holds significant promise for enhancing efficiency and mitigating solar cell degradation.

Optimal production decision of hybrid power generation enterprises in multi-quota policy coupled markets

At present, China is adopting both Carbon Emission Trading (CET) and Tradable Green Certificate (TGC) markets to optimize the resource allocation of its power industry. To mitigate the impacts of the above dual markets, more and more power generation enterprises are adopting hybrid production mode, generating electricity from thermal and new energy units simultaneously. In these complex production and market conditions, enterprises are difficult to arrange their generation activities. This research describes the production decision process of hybrid power generation enterprises with different market positions, obtains their optimal yield, and then offers market equilibrium results. In addition, the consequences of enterprise collusion behaviors and government interventions are also measured. Numerical experiment results confirm the correctness of the production decision model and reveal the following facts: 1) CET and TGC markets effectively control the carbon emission level and promote the consumption of new energy, but magnify the failure of electricity market to a certain extent. 2) CET and TGC markets promote each other in function. The existence of one market can help the other to achieve the anticipated goal. 3) Enterprises first offset the impact of market condition changes by adjusting the share of new energy generation, and then digest the residual influence by adjusting the total power generation. 4) Enterprise collusion behaviors aggravate the welfare loss of electricity consumer and then lower the expected effects of CET and TGC markets.

Enhancing Ethiopian power distribution with novel hybrid renewable energy systems for sustainable reliability and cost efficiency

Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due to non-renewable energy depletion, unregulated use, and a lack of new energy sources. Ethiopia’s Debre Markos distribution network experiences over 800 h of power outages annually, causing financial losses and resource waste on diesel generators (DGs) for backup use. To tackle these concerns, the present study suggests a hybrid power generation system, which combines solar and biogas resources, and integrates Superconducting Magnetic Energy Storage (SMES) and Pumped Hydro Energy Storage (PHES) technologies into the system. The study also thoroughly analyzes the current and anticipated demand connected to the distribution network using a backward/forward sweep load flow analysis method. The results indicate that the total power loss has reached its absolute maximum, and the voltage profiles of the networks have dropped below the minimal numerical values recommended by the Institute of Electrical and Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing the current distribution network’s operation, additional steps were taken to improve its effectiveness, using metaheuristic optimization techniques to account for various objective functions and constraints. In the results section, it is demonstrated that the whale optimization algorithm (WOA) outperforms other metaheuristic optimization techniques across three important objective functions: financial, reliability, and greenhouse gas (GHG) emissions. This comparison is based on the capability of the natural selection whale optimization algorithm (NSWOA) to achieve the best possible values for four significant metrics: Cost of Energy (COE), Net Present Cost (NPC), Loss of Power Supply Probability (LPSP), and GHG Emissions. The NSWOA achieved optimal values for these metrics, namely 0.0812 €/kWh, 3.0017 × 106 €, 0.00875, and 7.3679 × 106 kg reduced, respectively. This is attributable to their thorough economic, reliability, and environmental evaluation. Finally, the forward/backward sweep load flow analysis employed during the proposed system’s integration significantly reduced the impact of new energy resources on the distribution network. This was evident in the reduction of total power losses from 470.78 to 18.54 kW and voltage deviation from 6.95 to 0.35 p.u., as well as the voltage profile of the distribution system being swung between 1 and 1.0234 p.u., which now comply with the standards set by the IEEE. Besides, a comparison of the cost and GHG emission efficiency of the proposed hybrid system with existing (grid + DGs) and alternative (only DGs) scenarios was done. The findings showed that, among the scenarios examined, the proposed system is the most economical and produces the least amount of GHG emissions.

Design and Assessment of Integrated Wind-Biomass Hybrid Renewable Energy System and Blackout Hazards in the Power System Using Arelu-Ann

Introduction:: A hybrid power generating system, which is mostly meant for its reliable performance to meet the current energy demand, is a renowned renewable energy. To overcome issues like the inability to handle the blackout problem, avoidance of renewable factors, and frequency instability of the power grid, a Hybrid Power Generation System (HPGS) utilizing biomass and wind is proposed in this paper. Method:: With the combination of controllers as well as inverters and blackout controllers, this work aims to maximize power with minimum cost. The DC-DC converter controlled by Renyi’s Quadratic Entropy-Based Neuro Proportional-Integral-Derivative (RQEB-NPID) and the inverter under the control of the Volt/VAR controller are utilized as a major contribution. Result:: This, in turn reduces the frequency instability problem. Moreover, the renewable factor is considered for reducing the cost of energy using the Pythagorean Fuzzy-based Equilibrium Optimizer (PF-EO)-based inverter. Next, by utilizing the Attention-based Rectified Linear Unitactivated Artificial Neural Network (ARELU-ANN) controller, the blackout problem that interrupts the power supply to the load is eliminated with the highest accuracy of 7.69%. Conclusion:: Also, the proposed ARELU-ANN attained the highest specificity and precision of 9.80% and 6.17 %, respectively. Lastly, a comparative analysis is performed, which demonstrates that the proposed solution is optimum for supplying maximum energy at the least cost.

Transparent integrated pyroelectric-photovoltaic structure for photo-thermo hybrid power generation

Thermal losses in photoelectric devices limit their energy conversion efficiency, and cyclic input of energy coupled with pyroelectricity can overcome this limit. Here, incorporating a pyroelectric absorber into a photovoltaic heterostructure device enables efficient electricity generation by leveraging spontaneous polarization based on pulsed light-induced thermal changes. The proposed pyroelectric-photovoltaic device outperforms traditional photovoltaic devices by 2.5 times due to the long-range electric field that occurs under pulse illumination. Optimization of parameters such as pulse frequency, scan speed, and illumination wavelength enhances power harvesting, as demonstrated by a power conversion efficiency of 11.9% and an incident-photon-to-current conversion efficiency of 200% under optimized conditions. This breakthrough enables reconfigurable electrostatic devices and presents an opportunity to accelerate technology that surpasses conventional limits in energy generation.

DESIGNING OF DC GRID SOLAR-WIND HYBRID POWER GENERATION SYSTEM

Our project's main goal is to create a prototype hybrid renewable energy system that mixes solar and wind power. The system's goal is to directly feed energy from the turbine and solar panels into the DC grid. An inverter is also integrated to provide AC power. Our strategy emphasizes efficiency and simplicity by acquiring both AC and DC electricity from the project. Utilizing the complementing qualities of solar and wind energy, we want to develop a dependable and sustainable power generation system. We hope to show that combining renewable energy sources and maximizing energy output for both AC and DC applications is feasible with this creative design. Key Words: Dc grid, solar power generation, wind power generation, batteries, hybrid power generation

A Novel Assimilate Power Flow Control Technique Based Multiport Converter For Hybrid Power Generation System With Grid-Connected Application

Clean, sufficient energy from renewable resources such as the Sun, Wind, and other natural resources is provided via renewable energy technology. Electricity failure also increases with the electricity demand. Thus, consistent loads may be provided by renewable energy sources. A multiport conversion architecture has been developed for hybrid energy sources such as wind and solar sources. A practical method of producing power is to combine wind and sun resources. This study presents a coordinated control method and dynamic modelling tools for an integrated microgrid scheme that combines fuel cell technology, backup diesel generation, photovoltaic systems, battery generators, and assimilated power flow control (APFC). A unique vibrant filter compensator based on dynamics is employed to achieve a fully balanced integrated system. This ensures minimal inrush current, load excursions, and regulated DC bus voltage while optimizing the utilization of the diesel generator set. Our primary area is to achieve the most efficient operation of the integrated renewable energy sources, including PV panels and fuel cells. Photovoltaic Power System with Backup Fuel Cell Source for Hybrid Power System: The control unit in this hybrid system manages the power from both the fuel and the PV cells. When the control power is activated, it triggers the fuel cell and photovoltaic cell powers. The control device first checks if the photovoltaic cell is generating power. If the PV energy is sufficient to meet the load requirements, the control power links the photovoltaic energy to the load. In cases where the load cannot be fulfilled by photovoltaic power alone, the control system disconnects the photovoltaic cell power and switches to the backup fuel cell power. Afterwards, when the power generated from the photovoltaic cells reaches a sufficient level, the control system promptly switches from the fuel cell to the photovoltaic cells. The fuel cell is integrated with a photovoltaic system and a DC-DC boost conversion in conjunction with the resistive workload. The controller outputs have been fine-tuned, and PWM is generated and subsequently supplied to the converter's switching. The converter's design considers conversion efficiency, power sharing, system stability, and responsiveness in various operational scenarios to ensure successful operation. The effectiveness of the simulated output APFC techniques is evaluated for each parameter, such as steady-state error, THD, and the system's efficiency.

Optimization of the performance and operation of a photovoltaic-thermoelectric power supply system for bridge safety monitoring microsystems

In the long-term unattended condition, the continuous operation of bridge safety monitoring micro-system (BSMMS) in mountain areas has the issue of insufficient energy supply. Therefore, a photovoltaic-thermoelectric hybrid power generation system (PV-TEG) is proposed to power the temperature, wind speed, and tilt sensors of BSMMS. The power generation performance and characteristics of PV and TEG are experimentally investigated to find the operation mode to match the bridge monitoring. In addition, the intermittent operation mode of BSMMS is optimized to achieve longer running times. The experimental results show that the output voltage and power generation of the PV-TEG can meet the energy consumption demands of all sensors. TEG power generation is linear with bridge temperature, which can trigger TEG to support the temperature sensor operation. The energy storage battery supports the BSMMS to run for 8.99 days in the mode of running 5 min every 5-min intervals. Optimizing the operation time and interval of the BSMMS to run once in half an hour, it can run continuously for up to 17.97–22.46 days. This work provides a reference for the design of an unattended self-powered energy supply system for a multi-parameter integrated bridge safety monitoring system.

Optimizing energy solutions: A techno-economic analysis of solar-wind hybrid power generation in the coastal regions of Bangladesh

Hybrid renewable energy systems have acquired attention worldwide for their ability to harness multiple renewable sources parallelly like solar, wind, and hydropower, presenting numerous advantages. Bangladesh is forced to rely on the traditional fossil fuel-powered power generation infrastructure in order to meet the nation’s increasing need for electricity. The goal of this paper is to improve the percentage of renewable energy in Bangladesh’s energy landscape by addressing the technical, economic, and environmental elements of building a specialized hybrid system at Patenga Sea Beach through a methodical approach. This study is the first to pinpoint and address Patenga Sea Beach’s limits in light of Shah Amanat International Airport’s nearby location in Chittagong. In order to build the suggested system, a daily load demand of 1000 kWh and an annual peak demand of 53.57 kW were taken into account. The analysis shows that this system has a levelized cost of energy (LCOE) of 0.03$, generating 4,604.591 MWh of power annually. Findings from HOMER reveal an initial capital outlay of $350,688 for initial capital investment, with an annual O&M cost of $3,821, contributing to its cost-effectiveness. During the span of its lifetime, the hybrid system can also avoid 5,767 tons of CO2. The simulation program PVsyst has been utilized to assess the PV system-specific performance, viability, and outcomes. According to the PVsyst evaluation, the PV system has an 89 % system performance ratio, a 0.017$ levelized cost of energy, and a break-even period of only 6.6 years. The sensitivity analysis examines renewable resources, factoring in climate change’s effects on solar irradiation, wind speed, replacement cost, and operational expenses. It validates the hybrid system’s viability across various environmental scenarios, demonstrating resilience to changes in renewable resource costs and availability. The suggested hybrid system can be placedto minimize costs associated with energy generation, circumvent structural and geographic limitations, improve the Patenga Sea beach’s visual appeal, and lower greenhouse gas emissions. In addition to supporting future decisions about the deployment of hybrid systems, this research could assist in the integration of sustainable and renewable energy sources into the national grid.

FABRICATION OF HYBRID POWER GENERATION BY USING SOLAR, WIND AND WAVE ENERGY

The escalating demand for electricity in India necessitates a shift towards renewable energy sources. This paper proposes a hybrid power generation system that combines solar, wind, and wave energy technologies to meet this demand efficiently. By harnessing these renewable sources, the system eliminates fuel costs and emissions associated with conventional power generation. Situated near the sea, the system maximizes solar energy utilization and taps into strong winds for wind power generation. Moreover, it leverages wave energy for additional power generation. The hybrid system offers a practical solution to address the challenge of electrifying non-grid rural areas, especially where conventional energy solutions are economically unviable or environmentally harmful. Hybrid systems emerge as a promising approach to deliver reliable and sustainable power solutions to remote communities, contributing to rural development agendas and mitigating the adverse impacts of conventional energy sources. Key Words: Renewable energy source, hybrid, electricity, conventional energy, environment, power generation.

Synergistic integration of MSF and RO technologies in PTC using hybrid technique

ABSTRACT This paper proposes the Hybrid desalination and power generation through parabolic trough collectors. This study aims to examine the feasibility, performance optimization, and economic viability of power-generation plant and hybrid-desalination using multi-stage flash (MSF) and reverse osmosis (RO) technologies assessed by using the parabolic trough collectors (PTC). The objective is to discover the posibilities of this innovative approach in addressing water scarcity and clean energy demands. The studies usually focus on several key aspects. Firstly, it resolves the technical feasibility of integrating MSF and RO technologies with parabolic-trough-collectors to optimize energy efficiency and freshwater production. This involves evaluating the system design, heat transfer mechanisms, and operational parameters.Secondly, performance optimization is a key area of investigation. By optimizing these parameters the aim is to maximize freshwater production while minimizing energy consumption. Thirdly, the economic viability of the hybrid plant will be assessed. This involves considering capital investment, conducting a comprehensive cost analysis, maintenance costs, and operational expenses. The study also evaluates the potential for revenue generation through the sale of excess electricity produced by the system. The potential outcomes of this research include demonstrating the technical-feasibility as well as economic-viability of the hybrid desalination and power generation plant. The findings may indicate that this approach can effectively address water scarcity challenges while contributing to clean energy production. The study may also highlight the environmental benefits of integrating renewable energy sources (RESs) and decreasing greenhouse gas emissions compared to traditional desalination methods.The proposed method is executed in MATLAB platform and compared to various existing approaches.

Thermodynamic, exergetic and environmental evaluation and optimization of a bio-fuel fired gas turbine incorporated with wind energy derived hydrogen injection

The fluctuating nature of wind energy and shortage of biomass resources, as two types of renewables, can be fulfilled via their hybridization. In this respect, present research proposes a hybrid biomass/wind energy driven power generation framework based on combined gas turbine-Rankine cycle scheme. The gas turbine includes a reheat stage where the produced hydrogen is added to the combustion chamber for increasing flue gas temperature to enhance output power. The injected hydrogen is generated via a water electrolyzer which is powered by electricity from the wind turbines. The proposed scheme of biomass/wind powered system leads to a reduction in biomass consumption and will fulfill the fluctuations and non-continuous availability of wind energy. To appraise the feasibility of developed hybrid scheme, thermodynamic first and second law-based analyses were performed. Also, the exergo-environmental evaluation of the hybrid plant is conduced using three exergo-environmental indices. Finally, optimum operation conditions of the proposed hybrid plant is determined based on the minimization of environmental damage index. The results under optimum operation indicate that, the proposed hybrid power generation plant yields exergy efficiency of 47.35 % with environmental damage index of 0.0104.

Study on combined optimization technology of wind-solar-storage hybrid power generation based on electricity hydrogen complementarity

The wind-solar-storage hybrid power generation system is mainly composed of wind turbines, solar cell arrays, electrolytic cells, fuel cells, battery packs, intelligent controllers, multi-functional inverters, cables, supports and auxiliary parts to supply power to the load. The system utilizes wind and solar energy for power generation without an external power supply, and an energy storage module composed of an electrolytic cell, fuel cell, and battery is used to assist the power supply. In this paper, a fuel cell model, a wind power generation model and a solar power generation model are respectively constructed, and a small experimental platform was built to validate the model. The pulse width modulation (PWM) control method, combined with the auxiliary regulation of the system by the battery, reduces the impact of the volatility of wind power generation on the electrolytic cell and fuel cell, and makes the load current more stable under different working conditions. The simulation results show that the system has good compression resistance, fast response and good stability.

An Efficient Off-grid Express Cabinet Based on Wind-solar Hybrid Power Generation System

In order to effectively solve the shortcomings of traditional express cabinets such as limited service places and seasonal power supply obstacles, this paper studies an off-grid express cabinet using wind-solar complementary principle, which is mainly composed of near-ground and low-speed wind power generation device, solar photovoltaic battery pack, controller, battery pack and DC load. The double-axis tracking solar panels or fixed photovoltaic panels can be used for different regions. At the same time, it can be combined with a near-ground and low-speed wind power generation device to provide a stable power supply for the express cabinets. By programming the control, the power generated by wind-solar hybrid power generation is provided to the load as a priority. The remaining electric energy is stored in the battery pack. The system effectively overcomes the disadvantages of limited-service locations and unstable power supply caused by seasonal barriers in traditional express cabinets. It has the advantages of energy-saving, environmental protection, short payback period, and wide range of supply.

ANALISIS PERENCANAAN SISTEM PEMBANGKIT LISTRIK HYBRIDE (PLTS DAN DIESEL) PADA KAPAL TANKER

The hybrid power generation system (solar cells and diesel generator) is one of the alternative solutions to the negative impacts of conventional energy systems on ships in Indonesia. The use of this hybrid power generation system can support the development of environmentally friendly ship technology as global warming issues become more widespread. The advantages of implementing a hybrid power generation system include a reduction in fuel consumption by the generator and a simultaneous decrease in emissions from the ship. Choosing a hybrid system with solar power is particularly advantageous in Indonesia due to its abundant sunlight. This study employs technical and economic analytical methods to design a hybrid power generation system (solar cells and diesel generator). Technical and economic analyses are conducted using a tanker ship as the research object, comparing the hybrid power generation system with the conventional system widely used on ships in Indonesia. The research results indicate that the implementation of a hybrid power generation system on tanker ships results in a 15.5% annual fuel consumption saving compared to the use of conventional power generation systems. Therefore, due to the increased investment costs and reduced operational costs in the hybrid power generation system compared to the conventional system, the break-even point can be achieved in 3.69 years or equivalent to a total nominal cost of Rp 23,980,000,000.00 or $1,803,007.52.

The Temporal and Spatial Characteristics of Wind–Photovoltaic–Hydro Hybrid Power Output Based on a Cloud Model and Copula Function

In a high proportion of wind–photovoltaic–hydro hybrid power systems, fluctuation and dispersion make it difficult to accurately quantify the output characteristics. Therefore, in this study, a cloud model and copula correlation coefficient matrix were constructed for a hybrid power generation system based on the output data. Multiple backward cloud transformation based on the sampling-with-replacement method was proposed to calculate the improved entropy and hyperentropy to analyze the fluctuation range and dispersion degree quantitatively. A similarity index was proposed to evaluate the similarity between wind power, PV power, and hydropower. A suitable copula function was selected, and the Kendall and Spearman coefficients show the correlation relationships of the hybrid systems. The temporal and spatial characteristics of the hybrid systems were analyzed based on the two models. A typical example in Qinghai proved the effectiveness and applicability of the method. The results show that the correlation between photovoltaic power and hydropower is better and that, in summer, hydropower can be used to adjust the output of renewable energy.

Distributed ADMM power optimal control for standalone hybrid generation systems

With the rapid development and increased demand for renewable energy sources, standalone hybrid generation systems have become an essential energy solution. Power optimization control is thus critical to achieving the efficient operation and stability of this system. The distributed ADMM (alternating direction method of multipliers)-based approach has the full potential to deal with the power optimization problem of standalone hybrid generation systems. This study uses an optimization algorithm with a Gaussian penalty function, ADMM-ρ, to alternately optimize the power reference values of wind, light, and battery-containing power generation subsystems. The local controller regulates the output power of the converter according to this reference value. This ensures that the wind and photovoltaic power generation subsystem work in load-tracking or maximum power-tracking modes so that the optimal operation of hybrid power generation meets the balance of supply and demand while prolonging the service life of the batteries. Simulation experiments show that the distributed ADMM algorithm can reliably address the power optimization challenge of hybrid power generation systems.

Optimal scheduling of the CSP–PV–wind hybrid power generation system considering demand response

In order to solve the problem of there being a high proportion of wind and photovoltaic (PV) abandonment in the new energy system, an optimal dispatching method of concentrated solar power (CSP)–PV–wind hybrid power generation considering demand response is proposed. First, on the basis of the combination of wind and PV power stations and CSP stations, electric heating (EH) devices are used to convert unconsumed wind and PV power into thermal energy stored in the thermal storage system of the CSP station. Second, based on the difference in response time and response volume of customers, a stepped incentive-based demand response (IBDR) approach is introduced. Thus, a CSP–PV–wind power optimal dispatch model taking into account IBDR is established to achieve coordinated source-load dispatch. Finally, the CPLEX solver is invoked to optimize day-ahead scheduling with the goal of the lowest system comprehensive cost. Example analysis is used to confirm the proposed method’s usefulness in enhancing the system’s wind and PV power consumption capacity and reducing the system’s comprehensive cost.

Energy, exergy, economic, and life cycle environmental analysis of a novel biogas-fueled solid oxide fuel cell hybrid power generation system assisted with solar thermal energy storage unit

Biogas production and its derived hydrogen production technology have broad application prospects. In this paper, an integrated biogas power generation system with solid oxide fuel cells is proposed, which mainly consists of four units: a solar thermal energy storage unit, a biogas production and hydrogen generation unit, a SOFC-MGT unit, and a waste heat utilization unit. The presented system is first studied using energy, exergy, economic, and life cycle environmental analyses and the survey results are contrasted with those of renewable energy systems discussed in the references. Besides, a parametric study is conducted to explore the effect of thermodynamic parameters of solar irradiance, ambient temperature, work fluid temperature, reforming temperature, inlet H2O/CH4 ratio of the reformer, and the current density of SOFC. Results indicate that the proposed system's energy efficiency, exergy efficiency, electric power output and exergy destruction are 43.29%, 37.4%, 414.16 kW (net power generation is 351.43 kW) and 1434.59 kW, respectivily. Moreover, the system's levelized cost of electricity and carbon emission factor are $0.076/kWh and 335.6gCO2eq/kWh, having good economic and environmental benefits simultaneously. The parametric study shows that PTSC can be designed shorter with more solar irradiance and high ambient temperature. Besides, the increase of inlet H2O/CH4 ratio and reforming temperature make the system's energy efficiency fall by 2.5% and 20%. For every 300 A/m2 increase in the current density of SOFC, the system efficiency rises by 1.01%.