scholarly journals Application des modèles mathématiques pour l’optimisation de l’énergie dans un système PV

2019 ◽  
Vol Volume 30 - 2019 - MADEV... ◽  
Author(s):  
Smail Semaoui ◽  
Amar Hadj Arab ◽  
Seddik Bacha
Keyword(s):  
System Reliability ◽  
Energy System ◽  
Battery Life ◽  
Pv System ◽  
Flow Energy ◽  
International Audience ◽  
Energy Equilibrium ◽  
Modélisation Mathématique ◽  
The Impact ◽  
Different Parts

International audience This paper proposes an approach used to optimize the energy for a stand-alone photovoltaic (PV) system in isolated regions. The intended objective is house energy comfort. The aim is to present the impact of flow energy of housing on the system reliability. The operation of stand-alone PV system is represented by a simulation program. This later describes the principle of energy equilibrium among diverse sub-systems, using different mathematical models of different parts of renewable energy system. The recommended models were implemented via Matlab-Simulink software with real input data. The reliability is achieved by reducing the loss power supply probability criteria, with improvement of the battery life cycle during the operating years of the PV system. Cet article propose une approche basée sur des modèles mathématiques validés, pour l’optimisation de l’énergie dans un système photovoltaïque (PV) autonome destiné à l’électrification d’un habitat dans une région isolée. L’objectif attendu est le confort énergétique de l’habitat. Le but du travail est de montrer à travers la modélisation mathématique l’impact du profil dynamique de la consommation énergétique sur la fiabilité du système PV. Le fonctionnement de ce dernier est représenté par un programme de simulation sous Simulink, qui décrit le principe de l'équilibre énergétique entre les sous-systèmes, en utilisant des modèles mathématiques validés avec des données d’entrées réelles. Les résultats obtenus ont montrés une bonne fiabilité des modèles utilisés, pour prévoir le fonctionnement optimal du système photovoltaïque.

scholarly journals Demand Side Management using Grid-Tied Photovoltaic Energy System

2019 ◽  
Vol 9 (1) ◽  
pp. 4190-4194 ◽  
Keyword(s):  
Energy Management ◽  
Electricity Market ◽  
Low Cost ◽  
Cost Savings ◽  
Energy System ◽  
Electrical Network ◽  
Solar Pv ◽  
Pv System ◽  
Great Cost ◽  
The Impact

This paper investigates the impact of investments in DSM technologies in Palestinian electricity market in order to solve the problem of supply shortages in electrical network, especially in peak demand periods. Renewable hybrid system, which can explore solar PV source at low cost, is a popular choice for this purpose nowadays, optimal energy management solutions can be obtained with great cost savings and active control performance. This paper analyzes the performance and feasibility of implementation DSM system in Palestinian distribution network, using on-grid PV system and energy management system.

scholarly journals Reduction of solar photovoltaic resources due to air pollution in China

2017 ◽  
Vol 114 (45) ◽  
pp. 11867-11872 ◽  
Author(s):  
Xiaoyuan Li ◽  
Fabian Wagner ◽  
Wei Peng ◽  
Junnan Yang ◽  
Denise L. Mauzerall
Keyword(s):  
Electricity Generation ◽  
Eastern China ◽  
Radiant Energy ◽  
Energy System ◽  
Performance Model ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Annual Average ◽  
The Impact

Solar photovoltaic (PV) electricity generation is expanding rapidly in China, with total capacity projected to be 400 GW by 2030. However, severe aerosol pollution over China reduces solar radiation reaching the surface. We estimate the aerosol impact on solar PV electricity generation at the provincial and regional grid levels in China. Our approach is to examine the 12-year (2003–2014) average reduction in point-of-array irradiance (POAI) caused by aerosols in the atmosphere. We apply satellite-derived surface irradiance data from the NASA Clouds and the Earth’s Radiant Energy System (CERES) with a PV performance model (PVLIB-Python) to calculate the impact of aerosols and clouds on POAI. Our findings reveal that aerosols over northern and eastern China, the most polluted regions, reduce annual average POAI by up to 1.5 kWh/m2per day relative to pollution-free conditions, a decrease of up to 35%. Annual average reductions of POAI over both northern and eastern China are about 20–25%. We also evaluate the seasonal variability of the impact and find that aerosols in this region are as important as clouds in winter. Furthermore, we find that aerosols decrease electricity output of tracking PV systems more than those with fixed arrays: over eastern China, POAI is reduced by 21% for fixed systems at optimal angle and 34% for two-axis tracking systems. We conclude that PV system performance in northern and eastern China will benefit from improvements in air quality and will facilitate that improvement by providing emission-free electricity.

scholarly journals The Impact of Dispatchability of Parabolic Trough CSP Plants over PV Power Plants in Palestinian Territories

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Aysar M. Yasin
Keyword(s):  
Power Plants ◽  
Energy System ◽  
Environmental Indicators ◽  
Capacity Factor ◽  
Environmental Benefits ◽  
Parabolic Trough ◽  
Pv System ◽  
Palestinian Territories ◽  
Feasible Option ◽  
The Impact

This paper investigates the impacts of dispatchability of Parabolic Trough Concentrated Solar Power (PT-CSP) systems over PV power plants in Palestinian territories. Jericho governorate was taken as a case study. All conditions required for implementing PV and PT-CSP systems are verified. The capacity of each investigated system is 1 MW, and both systems are investigated in terms of technical, economic, and environmental aspects. The parametric analysis is used to identify the most feasible option of each renewable energy system by varying the cost of each option candidate and introducing thermal energy storage (TES) to the technology of PT-CSP systems with different capacities. A software based on the MATLAB environment is programmed to estimate the energy produced from each system with the important technical, financial, and environmental indicators. It is found that the alternative of installing a 1 MW PV system is the installation of 1 MWe PT-CSP systems with 14.5 h or 18.5 h TES. Introducing TES improves the dispatchability of the system and the capacity factor which consequently justifies the PT-CSP system investment. Increasing the degree of dispatchability improves the capacity factor of the PT-CSP system from 21% at 0 h TES to 57% at 18.5 h TES (24 h operation). The capacity factor of the PV system is 18.7% which is mostly similar to PT-CSP with zero dispatchability (0 h TES). The study considers the environmental benefits by estimating the amount of avoided CO2 emissions, and it was found that increasing the capacity factor augments the environmental benefits.

Nuclear Hybrid Energy System Reliability Model Progress Report

2017 ◽  
Author(s):  
Askin Guler Yigitoglu ◽  
Thomas Harrison ◽  
Michael Scott Greenwood
Keyword(s):  
System Reliability ◽  
Energy System ◽  
Progress Report ◽  
Reliability Model ◽  
Hybrid Energy System ◽  
Hybrid Energy

scholarly journals Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1039-1057
Author(s):  
Amro M. Farid ◽  
Asha Viswanath ◽  
Reem Al-Junaibi ◽  
Deema Allan ◽  
Thomas J. T. Van der Van der Wardt
Keyword(s):  
Electric Power ◽  
Intelligent Transportation ◽  
Energy System ◽  
Transportation System ◽  
Electric Power System ◽  
Abu Dhabi ◽  
Road Transportation ◽  
Unit Distance ◽  
The Impact

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology for the same purpose, this paper presents a “systems-of-systems” case study assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the intelligent transportation system (ITS), the integration of EVs into Abu Dhabi is studied using a multi-domain matrix (MDM) of the Abu Dhabi Department of Transportation ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. The paper concludes with the need for an intelligent transportation-energy system (ITES) which would coordinate traffic and energy management functionality.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

scholarly journals Decomposition Analysis of the Evolution of the Local Energy System as a Tool to Assess the Effect of Local Actions: Methodology and Example of Malmö, Sweden

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 461
Author(s):  
Isabel Azevedo ◽  
Vítor Leal
Keyword(s):  
Local Level ◽  
Ghg Emissions ◽  
Decomposition Analysis ◽  
Specific Effect ◽  
Energy System ◽  
Local Energy ◽  
Total Change ◽  
The Impact ◽  
Change Mitigation

This paper proposes the use of decomposition analysis to assess the effect of local energy-related actions towards climate change mitigation, and thus improve policy evaluation and planning at the local level. The assessment of the impact of local actions has been a challenge, even from a strictly technical perspective. This happens because the total change observed is the result of multiple factors influencing local energy-related greenhouse gas (GHG) emissions, many of them not even influenced by local authorities. A methodology was developed, based on a recently developed decomposition model, that disaggregates the total observed changes in the local energy system into multiple causes/effects (including local socio-economic evolution, technology evolution, higher-level governance frame and local actions). The proposed methodology, including the quantification of the specific effect associated with local actions, is demonstrated with the case study of the municipality of Malmö (Sweden) in the timeframe between 1990 and 2015.

scholarly journals A Hybrid Energy System Workflow for Energy Portfolio Optimization

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4392
Author(s):  
Jia Zhou ◽  
Hany Abdel-Khalik ◽  
Paul Talbot ◽  
Cristian Rabiti
Keyword(s):  
Time Series ◽  
Gaussian Process ◽  
Electricity Market ◽  
Process Model ◽  
Net Present Value ◽  
Historical Data ◽  
Energy System ◽  
Initial Guess ◽  
Reduced Order ◽  
The Impact

This manuscript develops a workflow, driven by data analytics algorithms, to support the optimization of the economic performance of an Integrated Energy System. The goal is to determine the optimum mix of capacities from a set of different energy producers (e.g., nuclear, gas, wind and solar). A stochastic-based optimizer is employed, based on Gaussian Process Modeling, which requires numerous samples for its training. Each sample represents a time series describing the demand, load, or other operational and economic profiles for various types of energy producers. These samples are synthetically generated using a reduced order modeling algorithm that reads a limited set of historical data, such as demand and load data from past years. Numerous data analysis methods are employed to construct the reduced order models, including, for example, the Auto Regressive Moving Average, Fourier series decomposition, and the peak detection algorithm. All these algorithms are designed to detrend the data and extract features that can be employed to generate synthetic time histories that preserve the statistical properties of the original limited historical data. The optimization cost function is based on an economic model that assesses the effective cost of energy based on two figures of merit: the specific cash flow stream for each energy producer and the total Net Present Value. An initial guess for the optimal capacities is obtained using the screening curve method. The results of the Gaussian Process model-based optimization are assessed using an exhaustive Monte Carlo search, with the results indicating reasonable optimization results. The workflow has been implemented inside the Idaho National Laboratory’s Risk Analysis and Virtual Environment (RAVEN) framework. The main contribution of this study addresses several challenges in the current optimization methods of the energy portfolios in IES: First, the feasibility of generating the synthetic time series of the periodic peak data; Second, the computational burden of the conventional stochastic optimization of the energy portfolio, associated with the need for repeated executions of system models; Third, the inadequacies of previous studies in terms of the comparisons of the impact of the economic parameters. The proposed workflow can provide a scientifically defendable strategy to support decision-making in the electricity market and to help energy distributors develop a better understanding of the performance of integrated energy systems.

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