scholarly journals Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2151
Author(s):  
Feras Alasali ◽  
Husam Foudeh ◽  
Esraa Mousa Ali ◽  
Khaled Nusair ◽  
William Holderbaum
Keyword(s):  
Renewable Energy ◽  
Low Voltage ◽  
Renewable Energy Sources ◽  
Golden Ratio ◽  
Clean Energy ◽  
Energy Sources ◽  
Percentage Error ◽  
Ann Model ◽  
Demand Forecast ◽  
Pv System

More and more households are using renewable energy sources, and this will continue as the world moves towards a clean energy future and new patterns in demands for electricity. This creates significant novel challenges for Distribution Network Operators (DNOs) such as volatile net demand behavior and predicting Low Voltage (LV) demand. There is a lack of understanding of modern LV networks’ demand and renewable energy sources behavior. This article starts with an investigation into the unique characteristics of householder demand behavior in Jordan, connected to Photovoltaics (PV) systems. Previous studies have focused mostly on forecasting LV level demand without considering renewable energy sources, disaggregation demand and the weather conditions at the LV level. In this study, we provide detailed LV demand analysis and a variety of forecasting methods in terms of a probabilistic, new optimization learning algorithm called the Golden Ratio Optimization Method (GROM) for an Artificial Neural Network (ANN) model for rolling and point forecasting. Short-term forecasting models have been designed and developed to generate future scenarios for different disaggregation demand levels from households, small cities, net demands and PV system output. The results show that the volatile behavior of LV networks connected to the PV system creates substantial forecasting challenges. The mean absolute percentage error (MAPE) for the ANN-GROM model improved by 41.2% for household demand forecast compared to the traditional ANN model.

Power Projects and Covid-19: A Practical Analysis of the Relevance of Force Majeure Clauses under the Standardised Power Purchase and Implementation Agreements of Uganda

2020 ◽  
Vol 1 (2) ◽  
pp. 189-193
Author(s):  
Aisha Naiga ◽  
Loyola Rwabose Karobwa
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
The State ◽  
Energy Sources ◽  
Policy Goals ◽  
Force Majeure ◽  
Practical Analysis ◽  
Energy Justice

Over 90% of Uganda's power is generated from renewable sources. Standardised Implementation Agreements and Power Purchase Agreements create a long-term relationship between Generating Companies and the state-owned off-taker guaranteed by Government. The COVID-19 pandemic and measures to curb the spread of the virus have triggered the scrutiny and application of force majeure (FM) clauses in these agreements. This article reviews the FM clauses and considers their relevance. The authors submit that FM clauses are a useful commercial tool for achieving energy justice by ensuring the continuity of the project, despite the dire effects of the pandemic. Proposals are made for practical considerations for a post-COVID-19 future which provides the continued pursuit of policy goals of promoting renewable energy sources and increasing access to clean energy, thus accelerating just energy transitions.

scholarly journals Optimisation of Energy Accumulation for Renewable Energy Sources

2021 ◽  
Vol 19 ◽  
pp. 205-210
Author(s):  
Milan Belik ◽  
Keyword(s):  
Renewable Energy ◽  
Model Building ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Photovoltaic System ◽  
Energy Sources ◽  
Pv System ◽  
Energy Accumulation ◽  
Wind Power Station ◽  
Future Production

This project focuses on optimisation of energy accumulation for various types of distributed renewable energy sources. The main goal is to prepare charging – discharging strategy depending on actual power consumption and prediction of consumption and production of utilised renewable energy sources for future period. The simulation is based on real long term data measured on photovoltaic system, wind power station and meteo station between 2004 – 2021. The data from meteo station serve as the input for the simulation and prediction of the future production while the data from PV system and wind turbine are used either as actual production or as a verification of the predicted values. Various parameters are used for trimming of the optimisation process. Influence of the charging strategy, discharging strategy, values and shape of the demand from the grid and prices is described on typical examples of the simulations. The main goal is to prepare and verify the system in real conditions with real load chart and real consumption defined by the model building with integrated renewable energy sources. The system can be later used in general installations on commercial or residential buildings.

scholarly journals Energy Efficiency – Indoor Air Quality Dilemma in Educational Buildings: A Possible Solution

2020 ◽  
Vol 24 (1) ◽  
pp. 357-367
Author(s):  
Liva Asere ◽  
Andra Blumberga
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Pv System ◽  
Educational Buildings ◽  
Electricity Tariff

AbstractThe energy efficiency – indoor air quality dilemma is well known and the main drawback to operate the mechanical ventilation is electricity costs as concluded from previous studies. Educational buildings are one of the places where future taxpayers spend a lot of time. This paper aims to study an alternative solution on how to reduce energy efficiency – indoor air quality dilemma in educational buildings by adopting systems that use renewable energy sources. A typical education building in Latvia is taken as a case study by changing it from a consumer to prosumer. This building type has a specific electricity usage profile that makes the choice of photovoltaics (PV) power quite challenging so the various power options have been analysed and used for an electricity solution. Also, the more decentralised preference is chosen – disconnect from a public heating provider and using a local system with a pellet boiler. Educational buildings using PV can reduce the electricity tariff, but the payback periods are still not very satisfactory without subsidies. The average electricity tariff per month varies between scenarios and the best one is for the scenario with 30 kW installed power. The educational building partly using 16 kW PV system reduces not only its bill for electricity but also reduces CO2 emissions by around 36 tons. The education buildings as energy prosumers using renewable energy sources are reducing GHG emissions by having high indoor air quality.

scholarly journals The Global Survey of the Electrical Energy Distribution System: A Review

2019 ◽  
Vol 9 (4) ◽  
pp. 2247 ◽  
Author(s):  
Archana Sudhakar Talhar ◽  
Sanjay B. Bodkhe
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Electrical Energy ◽  
Clean Energy ◽  
Central Intelligence Agency ◽  
Energy Sources ◽  
Power Sources ◽  
Energy Scenario ◽  
The World

This paper gives a review of energy scenario in India and other countries. Today’s demand of the world is to minimize greenhouse gas emissions, during the production of electricity. Henceforth over the world, the production of electrical power is changing by introducing abundantly available renewable energy sources like sun and wind. But, because of the intermittent nature of sustainable power sources, the electrical power network faces many problems, during the transmission and distribution of electricity. For resolving these issues, Electrical Energy Storage (EES) is acknowledged as supporting technology. This paper discusses about the world electrical energy scenario with top renowned developed countries in power generation and consumption. Contribution of traditional power sources changed after the introduction of renewable energy sources like sun and wind. Worldwide Agencies are formed like International Energy Agency (IEA), The Central Intelligence Agency, (CIS) etc. The main aim of these agencies is to provide reliable, affordable and clean energy. This paper will discuss about the regulatory authority and government policies/incentives taken by different countries.  At the end of this paper, author focuses on obstacles in implementation, development and benefits of renewable energy.

The Forecasting of Renewable Energy Generation for Turkey by Artificial Neural Networks and a Auto-Regressive Integrated Moving-Average Model -2023 Generation Targets by Renewable Energy Resources

2021 ◽  
Author(s):  
özlem karadag albayrak
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Renewable Energy ◽  
Moving Average ◽  
Renewable Energy Sources ◽  
Energy Generation ◽  
Energy Sources ◽  
Ann Model ◽  
Artificial Neural ◽  
Renewable Energy Generation

Abstract Turkey attaches particular importance to energy generation by renewable energy sources in order to remove negative economic, environmental and social effects caused by fossil resources in energy generation. Renewable energy sources are domestic and do not have any negative effect, such as external dependence in energy and greenhouse gas, caused by fossil resources and which constitute a threat for sustainable economic development. In this respect, the prediction of energy amount to be generated by Renewable Energy (RES) is highly important for Turkey. In this study, a generation forecasting was carried out by Artificial Neural Networks (ANN) and Autoregressive Integrated Moving Average (ARIMA) methods by utilising the renewable energy generation data between 1965-2019. While it was predicted by ANN that 127.516 TWh energy would be generated in 2023, this amount was estimated to be 45.457 TeraWatt Hour (TWh) by ARIMA (1.1.6) model. The Mean Absolute Percentage Error (MAPE) was calculated in order to specify the error margin of the forecasting models. This value was determined to be 13.1% by ANN model and 21.9% by ARIMA model. These results suggested that the ANN model provided a more accurate result. It is considered that the conclusions achieved in this study will be useful in energy planning and management.

Seamless Control and Unified Dynamic Energy Management in a Renewable/Clean Energy Integrated Self-Reliant DC Microgrid

2021 ◽  
pp. 1083-1122
Author(s):  
Vulisi Narendra Kumar ◽  
Gayadhar Panda ◽  
Bonu Ramesh Naidu
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Clean Energy ◽  
High Gain ◽  
Energy Sources ◽  
Dc Microgrid ◽  
Dc Power ◽  
Terminal Voltage ◽  
Operating Constraints

The growing demand for electrical energy calls for the assimilation of renewable energy sources to the main utility grid. Multiple renewable energy sources (RESs) like solar PV array, wind turbine, micro-hydro plant, etc. can be combined and controlled to form a microgrid. In spite of the availability of different microgrid topologies, DC microgrid largely facilitates the injection of DC power from various renewable energy sources into the stabilised DC power pool. The requirement for a minimal number of conversion stages, simple structure, economic operation, and numerous localised applications are driving factors for the DC microgrid technology. The mettle of the DC microgrid technology lies in choosing the appropriate microgrid participants for energy interchange and the suitable supervisory control to tap power from the microgrid partakers even after respecting their operating constraints. The use of high gain DC-DC converters is inevitable in DC microgrid due to the low terminal voltage levels of different RESs.

The Role of Green Sukuk for Sustainable Energy Production

2022 ◽  
pp. 42-55
Author(s):  
Hasan Dinçer ◽  
Serhat Yüksel ◽  
Hüsne Karakuş
Keyword(s):  
Renewable Energy ◽  
Financial Support ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
Energy Sources ◽  
Technological Infrastructure ◽  
Energy Needs ◽  
Islamic Companies ◽  
Installation Cost

Renewable energy sources are clean energy sources that meet the energy needs in a sustainable way. Therefore, it is necessary to invest in renewable energy sources. However, there are some difficulties in renewable energy investments. It has problems such as high initial installation cost, underdeveloped technological infrastructure, and insufficient financial support. Several financial products are being developed in order to overcome the mentioned difficulties. In this context, the purpose of this study is to explain the role of green sukuk in the financing of renewable energy investments. Depending on this purpose, the study has been examined with a literature review. The production of renewable energy sources can be encouraged with green sukuk. However, green sukuk is an advantage for Islamic companies that want to realize environmental projects. On the other hand, it offers the opportunity to the environmentally friendly Islamic investors to evaluate their savings.

Social, Environmental and Economic Impacts of Adopting Clean Energy Use

2019 ◽  
Vol 11 (4) ◽  
pp. 29-49 ◽  
Author(s):  
Muhammad Razi ◽  
Yousaf Ali
Keyword(s):  
Renewable Energy ◽  
Fossil Fuels ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
Energy Sources ◽  
Crucial Issue ◽  
Per Capita ◽  
Social Environmental ◽  
Alternative Solutions

These days, the excessive industrialization, elevated levels of pollution, and the increased energy crisis has led nations towards the use of renewable energy sources. Through the use of renewable energy sources, global warming can also be decreased, which is currently the biggest environmental issue worldwide. Pakistan, being a developing country, relies on the use of fossil fuels for the generation of electricity. The alarming increase in population, energy consumption per capita and energy wastages lead to a shortfall. To resolve this crucial issue, the alternative solutions considered include the use of renewable sources of energy such as hydro, solar and wind. The use of these renewable energy sources is governed by various environmental, economic and social parameters. The influence of these parameters on the use of renewable energy sources is studied through the use of DEMATEL and revised DEMATEL techniques.

scholarly journals Investigation of PV Connected Multilevel Cascaded H-Bridge Inverter Using Disposition Techniques

2018 ◽  
Vol 7 (3.31) ◽  
pp. 30
Author(s):  
Muzeeb Khan Patan ◽  
P Udaya Bhanu ◽  
M D. Azahar Ahmed
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Pv System ◽  
Matlab Simulink ◽  
Multilevel Inverters ◽  
Power Handling ◽  
Technological Improvements ◽  
The Given

Inverters have many Technological improvements in their maximum power handling capabilities by using renewable energy sources. Multilevel inverters give effective and efficient interface for renewable energy sources and perform Transformer-less operation and increase the power quantity and quality of voltage of the PV system. In this paper, the benefits of H-bridge inverters including the total harmonic distortions are discussed. This paper has primarily focused on Sinusoidal PWM and worked on the carrier based phase disposition techniques. The performances of modulation schemes are compared. Simulations were done using MATLAB Simulink for the given PWM techniques.  

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