Analysis Of Hybrid Energy System Research Articles

Analysis of hybrid energy systems for electric vehicle charging of different demographics

Analysis of hybrid energy systems for electric vehicle charging of different demographics

Investigating the sustainability of urban energy generation with techno-economic analysis from hybrid energy systems

With the growing need for sustainable energy solutions in urban areas, a strategic integration of energy supply, public transport modernization, and energy demand reduction for residential and commercial buildings has become crucial. While numerous efforts have showcased technological advancements and examined the functionality of energy systems, urban applications have not received adequate attention. To address this gap, this research proposes a feasibility analysis of hybrid energy systems in urban settings. The study incorporates a well-defined research purpose, a robust methodology, and a comprehensive approach to data collection, enabling a thorough investigation of technological, scientific, and industrial developments. There is a requirement for a total of 20,349 k Wh of energy per year in the study area, and it can be met with a PV array having a production capacity of 5591 k Wh per year and a capacity of 14,758 k Wh per year. It also explains that 27 % of the required energy can be harnessed from photovoltaics, and 73 % from a domestic diesel generator. The system emits 13,428 kg of Carbon dioxide (CO2), 33.4 kg of carbon monoxide (CO), 3.71 kg of unburned hydrocarbon, 2.52 kg of particulate matter, 26.7 kg of Sulphur dioxide, 298 kg of Nitrogen oxides. The study encompasses a comprehensive review of past, present, and future trends in energy system design, development, and implementation, providing valuable insights for urban planners and policymakers.

Technoeconomic analysis of hybrid energy system for health clinic in Salalah Oman

Diesel generators are being employed as a means of generating electrical power in various regions across the globe. Considering the imperative to foster environmental sustainability, it appears that conventional electric-producing systems may not be economically viable or environmentally sound, necessitating their replacement with renewable energy alternatives. This study examines the viability of utilizing hybrid electric systems powered by renewable energy sources in health clinics located in Salalah, Oman. The HOMER software, which is utilized for the analysis of system configurations, was employed to examine the application and functional constraints of each hybridized setup. The results indicated that the renewable energy system exhibited the lowest cost of energy in contrast to both the generator set and hybridized energy systems. Renewable energy has superior power generation capabilities in comparison to hybridized energy and standalone generator set systems, rendering it the most economically feasible option and a more favorable choice for meeting the electrification requirements of health clinics.

Design and Comparative Analysis of Hybrid Energy Systems for Grid-Connected and Standalone Applications in Tunisia: Case Study of Audiovisual Chain

Design and Comparative Analysis of Hybrid Energy Systems for Grid-Connected and Standalone Applications in Tunisia: Case Study of Audiovisual Chain

Techno‐economic analysis of PV–wind–diesel–battery hybrid power systems for industrial towns under different climates in Spain

AbstractThis study aimed to provide a techno‐economic analysis of hybrid energy systems, including wind turbines, photovoltaic systems (PV) panels, diesel generators, and batteries, for selected cities in five different climate zones in Spain to meet the load requirements of industrial towns. Homer software was used to determine the most efficient configuration for supplying the average load of the industrial sector, with a value of 1500 kWh/day and a peak load of 114.58 kW, and the residential sector, with a value of 150 kWh/day and a peak load of 27.85 kW. Optimization is carried out to minimize the evaluation parameters of net present cost (NPC) and cost of energy (COE). According to the software outputs, it appears that the system utilizes a variety of renewable energies. The priority is to use all hybrid system components, and the wind–PV–diesel–battery configuration has performed best in all cities. The cities of A Coruña, Bilbao, Ponferrada, Almería, Barcelona, Salamanca, Seville, Zaragoza, and Madrid, respectively, with NPC values of 1.39, 1.67, 1.76, 1.92, 2.23, 2.29, 2.39, 2.55, 2.61 M$ and COE values of 0.199, 0.24, 0.252, 0.276, 0.32, 0.329, 0.343, 0.366, 0.374 $/kWh have economic efficiency from the highest to the lowest. Reducing pollution production is one of the key reasons for approaching hybrid technologies. In this regard, A Coruña has the lowest carbon emissions among the selected cities, with 25,190, and 95.5% of its energy production is renewable. On the other hand, Madrid, which uses 89% renewable energy, has the highest carbon dioxide production with a value of 59,242. The system analysis in different cities of Spain provides insight into the conditions necessary for establishing such systems in different climate zones, which can serve as a road map for other places in the country.

In Malang, Indonesia, a techno-economic analysis of hybrid energy systems in public buildings

Because of the fickle nature of the renewable sources of energy production, professionals in this sector have developed hybrid renewable energy systems (HRES) that offer a constant and stable load supply. This research intends to build off-grid hybrid energy systems (HES) in Malang, Indonesia, that uses a solar generator, wind turbine, and biogas to power public buildings. The HOMER program was used to construct this model. Following the computations, multiple hybrid renewable energy system models are used to analyze each component’s capital cost and also cost of energy (COE). Furthermore, energy output, gas emissions, and a thermoeconomic assessment of several HRES models have been explored. Two ideal HRES models were evaluated: one with a biogas generator and one without. According to the research, employing a generator of biogas would reduce fuel consumption and emissions by 68.3%. This HRES model is impressive in light of Malang’s severe air pollution. Switching from diesel to biogas generator decreases NPC by 6.84%, according to the data.

Thermal Storage for the Analysis of Hybrid Energy Systems Based on Geothermal and Solar Power

Thermal degradation of geothermal energy occurs even during the duration of geothermal energy facilities. The enormity and efficiency of thermal energy available for electric transformation, as well as plant performance and power production, are both affected by the decrease in geofluid heat. Additionally, due to the generally increased turbine exhaust temperatures, the efficiency of geothermal energy based upon air-cooled organic Rankine cycle devices (ORCs) degrades considerably at hot room temperatures. A newly designed Geothermal-Concentrator Solar Power (GEO-CSP) station is simulated in this work, which allows for greater geothermal power use and enhances the effectiveness of the geothermal ORC system over the power plant’s lifespan. The geothermal fluid entering the ORC’s heating element is heated using the sun’s radiation. The CSP facility is fitted with a thermal energy storing unit that stores excess energy from the sun accessible throughout the day and releases it at nighttime whenever the energy system’s performance is better. When the storage facility is included in the concentrator CSP technology, the incremental yearly energy generation from solar increases by 19 percent, from 5.3 percent to 6.3 percent, similar to the geothermal-only plant. As a result, adding a TES unit to the hybrid unit could be quite beneficial.

Analysis of Hybrid Energy Systems for Telecommunications Equipment: A Case Study in Buea Cameroon

The considerable expansion of telecommunications infrastructure in non-electrified areas has led to massive consumption of non-renewable energy sources by diesel generators. The promotion of renewable energy technologies as an alternative to these diesel generators is until now confronted with the problems of Capital Expenditures and system reliability. The hybridization of fossil fuels with renewable energies would make it possible to find a better quality/cost/environment ratio for the supply of off-grid telecommunication base stations (BSs).This paper presents the analyses of eight different hybrid energy systems dedicated for telecommunications equipment with a BS antenna as case study. The techno-economic analysis of hybrid energy system comprises solar, wind and the existing power supply. All the necessary modelling, simulations, and techno-economic evaluations are carried out using the assessment software package HOMER (Hybrid Optimization Model for Electric Renewable). The result shows that adding solar PV to the existing system is the optimal option. For the site studied powered by grid and diesel generator, the hybrid PV-diesel-grid with storage battery system is the best optimal system configuration for the chosen antenna with an initial capital cost of 34,619$, a Net Present Cost (NPC) of 55,588$ and a Cost of Energy (COE) of 0.39$/kWh.

Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems

Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems

Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems

Hybrid energy systems (HESs) have been proposed to include and co-optimise multiple energy inputs and multiple energy outputs to enable increasing penetration of clean energy such as wind power. To optimise the system design, extensive datasets of renewable resources for the given location are required, whose availability may be limited. To address this limitation, this paper proposes an innovative methodology to generate synthetic wind speed data. Specifically, artificial neural networks are adopted to characterise historical wind speed data and to generate synthetic scenarios. In addition, Fourier transformation is used to capture the characteristics of the low frequency components in historical data, allowing the synthetic scenarios to preserve seasonal trends. The proposed methodology enables the possibility of Monte Carlo simulation of HES for probabilistic analysis using large volumes of heterogeneous scenarios. Case study of probabilistic analysis is then performed on a particular HES configuration, which includes nuclear power plant, wind farm, battery storage, electric vehicle charging station, and desalination plant. Wind power availability and requirements on component ramping rate are then investigated.

Resiliency Analysis of Hybrid Energy Systems within Interconnected Infrastructures

There are world tendencies to implement interconnected infrastructures of energy-water-waste-transportation-food-health-social systems to enhance the overall performance in normal and emergency situations where there are multiple interactions among them with possible conversions and improved efficiencies. Hybrid energy systems are core elements within interconnected infrastructures with possible conversions among electricity, thermal, gas, hydrogen, waste, and transportation networks. This could be improved with storage systems and intelligent control systems. It is important to study resiliency of hybrid energy systems within interconnected infrastructures to ensure reduced risks and improved performance. This paper presents framework for the analysis of resiliency layers as related to protection layers. Case study of hybrid energy system as integrated with water, waste, and transportation infrastructures is presented where different resiliency and protection layers are assessed. Performance measures are modeled and evaluated for possible interconnection scenarios with internal and external factors that led to resiliency demands. Resiliency layers could trigger protection layers under certain conditions, which are evaluated to achieve high performance hybrid energy systems within interconnected infrastructures. The proposed approach will support urban, small, and remote communities to achieve high performance interconnected infrastructures for normal and emergency situations.

Techno-economic analysis of both on-grid and off-grid hybrid energy system with sensitivity analysis for an educational institution

The Renewable Energy Sources (RES) have marked a new trend in the Indian energy market and sustainable energy development. In countries like India, the consumers are more welcomed to be prosumers by utilizing the primary renewable energy sources such as solar, wind, biogas, geothermal etc. The renewable energy generation is highly dynamic and thus, Hybrid Energy Systems (HES) strengthens its scope in self-dependent energy generation of the consumers. This paper proposes techno-economic analysis of a Hybrid Energy System (HES) design that has been set up at Kamaraj College of Engineering and Technology (KCET), Virudhunagar, Madurai, Tamil Nadu, India. The paper investigates the on-grid and off-grid operation of the proposed HES. The system is designed and optimized by using HOMER (Hybrid Optimization Model for Electric Renewables) software. The feasibility of the HES system is studied under different dispatch strategies such as Cycle Charging (CC) and Load Following (LF) for both on-grid and off-grid operation. Further, the sensitivity analysis is carried out for the proposed HES system with the fuel price and scaled annual solar radiation as sensitivity variables. The Net Present Cost (NPC) and Cost of Energy (COE) of the system under different architectures are determined and it is found that, the on-grid HES with LF dispatch is the optimal system design for the selected location. The performance of the system is studied in both technical and economic perspectives to optimally design the HES components and a minimum NPC of $ 7.66 M has been obtained.

Cost Effective Analysis of Hybrid Energy System with Pumped Hydro Storage using HOMER Pro

As India is a developing country which demands in more power requirement for the population. The conventional resources are also not making the requirement upto the needs of the customers. This brings our attention towards the non-conventional resources which includes renewable energy resources i.e., natural resources like sun, wind, ocean, geothermal, tidal etc. are some of the resources. Using this resources with the help of latest technologies we are equalizing the mismatch between the power generation and power demand. As far as the conventional power generation our country is performing great in the non- conventional means also, which results in the cost reduction of energy, carbon emission from the environment which will help a lot in the reduction of global warming. This paper presents the hybrid renewable energy system which consist of solar PV and wind energy system as generation unit and for the change of same traditional storage system here we are working with the pumped hydro storage system. All the system is being analyzed on the software for hybrid system known as Hybrid Optimization Model for Electrical Renewable (HOMER Pro).

Using HOMER for design and economic analysis of a photovoltaic unit integrated with the RO system treating brackish water at a capacity of 3 m3/day

To satisfy the energy demand and environmental protection, solar energy has been widely used and contributed 43% of renewable energy resources. Photovoltaic (PV) is an ideal technology for powering reverse osmosis (RO) desalination units since both PV and RO systems are modular and easily scalable. HOMER sofware can integrate functional tools for designing and sensitivity analysis of hybrid energy systems. Thus, it is useful for finding the least-cost configuration of small-scale PV systems, which can combine with the other energy sources, effectively. This study analyzed a 3kWp PV module installed at a tilt angle of 10.04o, comprising of eleven 280W PV pannels (JA Solar Holding 280JAM6-60-280/SI), one inverter (ABB PVI-3.0-OUTD-S-US-Z-A-240V), three batteries (Trojan SAGM 12-205-12V-205Ah-20h), and the MPPT charge controller. Results showed that the capital cost in the first year was 60.236 million VND and the total project cost for 25 years, accountless of the installation and maintenance cost, was 144.341 million VND. At the average daily radiation of 5.155 kWh/m2/day, the 3kWp PV module could produce 5,145kWh/year and save more than 49,5% of costs for buying grid electricity.

Economic Verification of Hybrid Energy Utilizations with HOMER Pro

This study gives emphasis to the economic analysis of hybrid Energy systems which are gradually paid attention by researchers worldwide as a new way to cope with climate change and sustainable development. The economic cost is an important feature that restricts the development of hybrid energy system. The purpose of this study is to verify the economic characteristics of hybrid energy system with HOMER Pro software. Firstly, the economic characteristics of different single energy sources are investigated. Secondly, the economic performances of different hybrid energy systems are analyzed and compared. The research results show that our simulations based on HOMER Pro software have good agreement with those in reference cases. In the future, a unified economy evaluation will be carried out for these hybrid energy utilizations.

Techno-economic and environmental analysis of hybrid energy systems for a university in Australia

ABSTRACTIntegrating renewable energies into the grid has proven to be a promising solution to address clean environment. In this aspect, there have been several studies conducted on distributed energy resources to deliver power efficiently with more reliance at many places including isolated villages, resorts, etc. In this paper, we address the optimum sizing of renewable energy source like photovoltaics connected to the grid and stand-alone mode of operation for Victoria University in Footscray, Australia, after analysing the electricity load. These models were compared with optimised model of diesel generator as the source of energy. Economic feasibility and environmental impact analyses have been conducted for these optimised models using Hybrid Optimization Model for Multiple Energy Resources software.

Techno-economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-pro Software

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar Photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the Unit Cost Of Energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (hybrid optimization model of electric renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.

Techno-Economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-Pro Software

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the unit cost of energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (Hybrid Optimization Model of Electric Renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.

English

English

Synthetic wind speed scenarios generation for probabilistic analysis of hybrid energy systems

Hybrid energy systems consisting of multiple energy inputs and multiple energy outputs have been proposed to be an effective element to enable ever increasing penetration of clean energy. In order to better understand the dynamic and probabilistic behavior of hybrid energy systems, this paper proposes a model combining Fourier series and autoregressive moving average (ARMA) to characterize historical weather measurements and to generate synthetic weather (e.g., wind speed) data. In particular, Fourier series is used to characterize the seasonal trend in historical data, while ARMA is applied to capture the autocorrelation in residue time series (e.g., measurements with seasonal trends subtracted). The generated synthetic wind speed data is then utilized to perform probabilistic analysis of a particular hybrid energy system configuration, which consists of nuclear power plant, wind farm, battery storage, natural gas boiler, and chemical plant. Requirements on component ramping rate, economic and environmental impacts of hybrid energy systems, and the effects of deploying different sizes of batteries in smoothing renewable variability, are all investigated.