scholarly journals Evaluating the Effect of Demand Response Programs (DRPs) on Robust Optimal Sizing of Islanded Microgrids

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5750
Author(s):  
Mahdi Karami Karami Darabi ◽  
Hamed Ganjeh Ganjeh Ganjehlou ◽  
Amirreza Jafari ◽  
Morteza Nazari-Heris ◽  
Gevork B. B. Gharehpetian ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Small Scale ◽  
Project Cost ◽  
Power Sources ◽  
Demand Response Program ◽  
Battery State Of Charge

A microgrid is a small-scale energy system with its own generation and storage facilities and energy management system, which includes shiftable and traditional loads. The purpose of this research is to determine the size of the microgrid through (i) investigating the effect of a shiftable demand response program (DRP) on sizing of an islanded microgrid and (ii) studying the uncertainty of power output of renewable energy sources by applying the robust optimization (RO) method. Since the RO method solves the problem for lower power outputs of renewable energy sources (RES) than the predicted values, the results obtained are pessimistic and will increase the project cost. To deal with the increment of project cost, the application of a load shifting DRP is proposed to reduce the cost. In addition, DRPs are suitable means to reduce the effects of uncertain power sources. Therefore, it is shown that a shiftable DRP is effective in reducing the overall project cost and the dependency on energy storage systems by defining different scenarios and simulating them with General Algebraic Modeling System (GAMS) software. Moreover, it is indicated that the shiftable DRP and battery state of charge have correlations with solar irradiance and wind speed, respectively.

scholarly journals Key Factors Which Contribute to the Participation of Consumers in Demand Response Programs and Enable the Proliferation of Renewable Energy Sources

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8273
Author(s):  
Adrian Tantau ◽  
András Puskás-Tompos ◽  
Costel Stanciu ◽  
Laurentiu Fratila ◽  
Catalin Curmei
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Online Survey ◽  
Consumer Behaviour ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Main Role ◽  
Key Factors ◽  
Demand Response Programs

Consumer behaviour in the energy field is playing a more important role in the new approach dominated by the proliferation of renewable energy sources. In this new context, the grid has to balance the intermittent and uncertain renewable energy generated, and find solutions, also, on the consumer side for increasing the stability and reliability of the energy system. The main de-mand response solutions are price and incentive based, but there is a need to identify the main factors which can influence their efficiency due to the fact that there is a lack of knowledge about the preferences of consumers. The main goal of this article is to identify the main demand response solutions and the related key factors which influence the participation of consumers in demand response programs and may contribute to the spread of renewable energy sources. For this research, semi-structured interviews were organised with experts in energy from Romania, Hungary and Serbia, as well as workshops with experts in energy, and an online survey with customers for electricity. This article reduces the gap between the results of technical studies, related in demand response programs, and their practical implementations, where the consumer behaviour and its social dimensions are neglected even though, in reality, they are playing the main role. The results suggest that the consumer’s participation in demand response programs is highly influenced by different aspects related to the promotion of the renewable energy and the reduction of CO2 emissions and the global warming impact.

scholarly journals Small-Scale Renewable Energy Systems in the Development of Distributed Generation in Poland

2014 ◽  
Vol 22 (2) ◽  
pp. 34-43 ◽  
Author(s):  
Justyna Chodkowska-Miszczuk
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Energy Systems ◽  
Energy System ◽  
Energy Sources ◽  
Small Scale ◽  
Small Hydropower ◽  
Renewable Energy Systems ◽  
Distributed Energy System

Abstract Small-scale renewable energy systems in the context of the development of distributed generation, are discussed for the case of Poland. A distributed energy system is efficient, reliable and environmentally friendly, and is one of the most recent trends in the development of the energy sector in Poland. One of the important dimensions of this process is the creation of micro- and small-power producers based on renewable, locally-available energy sources. It is clear that the development of small-scale renewable energy producers takes place in two ways. One of these is through small hydropower plants, which are the aftermath of hydropower development in areas traditionally associated with water use for energy purposes (northern and western Poland). The second is through other renewable energy sources, mainly biogas and solar energy and located primarily in southern Poland, in highly urbanized areas (e.g. Śląskie Voivodship). In conclusion, the development of small-scale renewable energy systems in Poland is regarded as a good option with respect to sustainable development.

RELIABILITY ANALYSIS OF HYBRID ENERGY SYSTEM

2014 ◽  
Vol 21 (03) ◽  
pp. 1450011 ◽  
Author(s):  
ZHIGANG TIAN ◽  
AMIR AHMAD SEIFI
Keyword(s):  
Renewable Energy ◽  
Reliability Analysis ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Cost Evaluation ◽  
Energy Sources ◽  
Power Sources ◽  
Hybrid Energy System ◽  
Hybrid Energy

A hybrid energy system integrates renewable energy sources like wind, solar, micro-hydro and biomass, fossil fuel power generators such as diesel generators and energy storage. Hybrid energy system is an excellent option for providing electricity for remote and rural locations where access to grid is not feasible or economical. Reliability and cost-effectiveness are the two most important objectives when designing a hybrid energy system. One challenge is that the existing methods do not consider the time-varying characteristics of the renewable sources and the energy demand over a year, while the distributions of a power source or demand are different over the period, and multiple power sources can often times complement one another. In this paper, a reliability analysis method is developed to address this challenge, where wind and solar are the two renewable energy sources that are considered. The cost evaluation of hybrid energy systems is presented. A numerical example is used to demonstrate the proposed method.

scholarly journals A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning

2021 ◽  
pp. 155-181
Author(s):  
Hendro Wicaksono ◽  
Tina Boroukhian ◽  
Atit Bashyal
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Renewable Energy ◽  
Demand Response ◽  
Short Term Memory ◽  
Renewable Energy Sources ◽  
Heterogeneous Systems ◽  
Energy Sources ◽  
Demand Response Program ◽  
Mapping Techniques

AbstractThe spread of demand-response (DR) programs in Europe is a slow but steady process to optimize the use of renewable energy in different sectors including manufacturing. A demand-response program promotes changes of electricity consumption patterns at the end consumer side to match the availability of renewable energy sources through price changes or incentives. This research develops a system that aims to engage manufacturing power consumers through price- and incentive-based DR programs. The system works on data from heterogeneous systems at both supply and demand sides, which are linked through a semantic middleware, instead of centralized data integration. An ontology is used as the integration information model of the semantic middleware. This chapter explains the concept of constructing the ontology by utilizing relational database to ontology mapping techniques, reusing existing ontologies such as OpenADR, SSN, SAREF, etc., and applying ontology alignment methods. Machine learning approaches are developed to forecast both the power generated from renewable energy sources and the power demanded by manufacturing consumers based on their processes. The forecasts are the groundworks to calculate the dynamic electricity price introduced for the DR program. This chapter presents different neural network architectures and compares the experiment results. We compare the results of Deep Neural Network (DNN), Long Short-Term Memory Network (LSTM), Convolutional Neural Network (CNN), and Hybrid architectures. This chapter focuses on the initial phase of the research where we focus on the ontology development method and machine learning experiments using power generation datasets.

scholarly journals An Efficient Energy Management in Smart Grid Considering Demand Response Program and Renewable Energy Sources

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ateeq Ur Rehman ◽  
Ghulam Hafeez ◽  
Fahad R. Albogamy ◽  
Zahid Wadud ◽  
Faheem Ali ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Energy Management ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Efficient Energy ◽  
Demand Response Program

scholarly journals The Energy System of an Ecovillage: Barriers and Enablers

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay
Keyword(s):  
Renewable Energy ◽  
Spatial Structure ◽  
Energy Management ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Energy Management System ◽  
Production And Consumption ◽  
Ecologically Sustainable

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.

scholarly journals Renewable energy sources in future energy balance of the republic of Kazakhstan

2018 ◽  
Vol 58 ◽  
pp. 03006 ◽  
Author(s):  
Bekzhan Mukatov ◽  
Ravil Khabibullin
Keyword(s):  
Renewable Energy ◽  
Development Strategy ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Energy Sources ◽  
Basic Principles ◽  
The World ◽  
Main Factors ◽  
The Republic

The article describes the main factors determining the development of renewable energy sources in the world. The assessment of the applicability of foreign RES development strategies to Kazakhstan’s energy system has been made. The main tasks facing Kazakhstan’s energy system with large-scale implementation of renewable energy were formulated. On the basis of the analysis and performed calculations recommendations and basic principles have been made on development strategy of renewable energy sources in the Republic of Kazakhstan.

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