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After the 2002 FIFA World Cup in South Korea and Japan, the local governments of South Korea were left in charge of several large-scale soccer stadiums. Although these governments have made significant efforts toward creating profits from the stadiums, it is proving to be too difficult for several administrations to cover their full operational, maintenance, and conservation costs. In order to overcome this problem, one of the governments, Seogwipo City, which owns Jeju World Cup Stadium (JWCS), is attempting to provide an independent renewable electricity generation system for the operation of the stadium. The current study therefore examines potential configurations of an independent renewable electricity generation system for JWCS, using HOMER software. The simulation results yield three optimal system configurations with a renewable fraction of 1.00 and relatively low values for the cost of energy ($0.405, $0.546, and $0.692 per kWh). Through the examination of these three possible optimal configurations, the implications and limitations of the current study are presented. This study was supported by the Dongguk University Research Fund of 2015. Support for the UJI Robotic Intelligence Laboratory is provided in part by Ministerio de Economía y Competitividad (DPI2015-69041-R), by Generalitat Valenciana (PROMETEOII/2014/028) and by Universitat Jaume I (P1-1B2014-52).

Penetration of renewable energy sources in Europe have increased significantly for the past 10 years, especially in Germany. One important factor contributing to this improvement is the introduction of Feed-in Tariff (FiT). Follow in the footsteps of Europe, Malaysia has also introduced the FiT in 2011 to attract more investment in power generation from renewable energy (RE). This paper will investigate the cost-benefit analysis of installing Building-Integrated Photo-Voltaic (BIPV) system under the current FiT design in Malaysia. The analysis is performed by using HOMER software.

This article is based on dimensioning of autonomous photovoltaic systems in the residential sector of Colombia using HOMER software.

RESUME: Dans ce memoire nous etudions le processus d'integration d'eoliennes a des reseaux electriques isoles utilisant des generatrices diesel en conditions de climat froid, en se basant sur le cas de la base scientifique antarctique argentine Jubany. Le but du memoire est de developper une procedure de conception selon les methodologies, recommandations et experiences actuelles des organismes de normalisation et de l'industrie pour implanter un systeme hybride eolien-diesel operant dans le climat froid de Jubany dans des conditions optimales d'efficacite et durabilite. La conception du systeme est faite jusqu'a un niveau architectural afin d'illustrer la disposition et les specifications techniques generales des principaux equipements. La methode suivie est d'utiliser la serie des specifications techniques TS 62257 de l'IEC (la Commission electrotechnique internationale), ensemble de documents pour concevoir et implanter des systemes hybrides, comme une procedure de conception de base, d'ajouter a cette procedure la prise en compte des effets du froid sur le systeme, tels que decrits dans les documents sur l'exploitation de l'energie eolienne en climats froids de l'IEA (l'Agence internationale d'energie). Cette methodologie est enrichie par l' analyse d'installations hybrides eoliennes-diesel en climat arctique/antarctique, utilisees comme sources pour faire des choix lors de la conception du systeme hybride a Jubany. Les architectures proposees sont modelisees dans le logiciel Homer afin d'evaluer la production d'energie et la diminution possible de consommation de carburant. Nous concluons que la serie de normes TS 62257 est une procedure adequate pour evaluer les conditions d'implantation du projet et realiser de facon normalisee les premieres etapes de conception, toujours en considerant les effets du froid sur le systeme. Pour le cas de Jubany, nous avons evalue l'etat actuel des conditions climatiques (vitesses de vent, temperatures) et le systeme electrique en activite pour proposer des recommandations pour l'installation du systeme hybride eolien-diesel. ABSTRACT: The present work studies the process of coupling wind turbines with local isolated diesel generator to provide electricity to remote power grids in a co Id climate. Different scenarios of wind penetration are evaluated and the methodology is applied to a specific site, the scientific Antarctic Argentinean base "Jubany". The goal of the thesis is to develop a design procedure in agreement to the most recent methodologies, recommendations and experiences of the standardization organisations and of the industry to successfully implement an effective and sustainable wind-diesel hybrid system operating in the cold climate at Jubany. The system design is made up to an architectural level, showing the layout and general technicai specifications of the major equipments. The method follows the technical specifications TS 62257 of the IEC, the International Electrotechnical Commission, which is a set of recommendations to design and implement hybrid systems. This norm has been used as a basic design procedure, to which have been added specific aspects of the co Id climate effects, as described in documents of the IEA, the International Energy Agency. Other exarnples of hybrid winddiesel facilities in Arctic/ Antarctic climate, either operationai or proposed, have been anaIyzed as a source of teclmological ideas to make design proposaIs for the hybrid system at Jubany. The proposed architectures are simulated with Homer software to assess their energy production, cost of energy and fuel savings. It is concluded that the norm TS 62257 is a good basic procedure to organise and evaluate the input information and complete the first steps of design in a standardized way, even considering the effects of the cold climate on the system. For the Jubany case, conclusions are presented regarding the current state of infonnation of the climate (wind, cold) and of the electrical system in operation and recommendations are made to prepare the installation of the hybrid wind-diesel system.

A simulation for some microgrid including microturbine is done based on homer software. Combined Cooling Heating and Power system is introduced and model for microturbine in homer is studied. The sensitivity results are given and discussed deeply.

Measurements of sunshine duration and average temperature data obtained from meteorological center in Cameroon spanning a period of 30 years (from 1961 to 1990) have been used to predict the availability of solar radiation at Yaounde (longitude11.31, latitude0.35N). Then we use ZABARA method to predict solar radiation from measured (available) sunshine duration. Finally HOMER software is employed to simulate the PV output power for the whole year.

Hybrid electrical power systems consisting of a combination fossil fuels powered generators and renewable energy sources in standalone grid-off configurations are gaining prominence in remote communities where grid extension are difficult and often very costly. This paper focuses on the design of a hybrid power system in an outback community of South Australia – Oodnadatta. An optimal standalone hybrid power system comprising photovoltaics, diesel and propane is proposed with the lowest levelised Cost of Electricity(COE) with at least 10% solar contribution. The proposed hybrid system is designed with the HOMER software utilising average daily solar radiation values for the years 2007-2009 and estimated power consumption data. The existing conventional power system in Oodnadatta is also modelled to compare andcontrast with the proposed hybrid system to assess its impact on COE and greenhouse gas emissions. Refereed/Peer-reviewed

Today, safari camps are fully powered using diesel generators due to their remote locations; however, operators are having hard time meeting with demand due to generator's high operating cost. Concerns from government and activists are rising due to pollution and vibrations from diesel generators, which are affecting the desert's demography. Therefore, the objective of this study is to provide camp operators with viable hybrid-system (renewable/variable speed diesel generator) alternatives rather than stand-alone constant speed diesel generator. HOMER software has been utilized to simulate the proposed alternatives.

This paper discusses using HOMER Software, NREL's Micropower Optimization Model, to explore the role of gen-sets in small solar power systems in Sri Lanka.

in this article, we present the study and results for the installation of a mini-photovoltaic power plant of 2 kW installed in the desert region (Applied Research in Renewable Energy (URAER), Ghardaia in southern Algeria during 15 days (14–31 January 2016). The objective is to compare Homer software simulation and experimental recorded data, to characterize and to evaluate the dynamic performance and energy balance of a photovoltaic plant composed of a PV generator, a battery storage and regulator which has the role of protecting the battery and management system operation face the climatic variations in desert region.

Solar energy is anticipated to play a major role in electricity generation in Algeria. This source of energy is considered as an opportunity and a lever for economic and social development, particularly through the establishment of wealth and job-creating industries. However, the use of solar PV in habitat is almost absent. In order to help decision-makers use solar energy in the building sector and implement policy packages that can deliver a deep path of energy consumption reductions and associated CO2 emissions mitigation from buildings, this paper discusses findings from technical simulations of grid-connected photovoltaic system supplying a home electricity load with backup electricity network in north-western of Algeria. From this point of view, this case can be generalized for northern Algeria houses and for worldwide sites which have the same sunning conditions.

A hybrid hydro/wind/photovoltaic base on hydrogen storage system is designed to supply power demand. The aim of the optimization problem is minimization of net present cost of the hybrid system to reliable supply of the demand. The system is investigated in the north west of Iran (Meshkinshahr) and the local data is applied. About 12 villages (corresponding to 680 people) are found in the upper Blue Qarahsou river gorge and far remote areas, which makes the task of their electrification via grid system very difficult. The hydro potentials are analyzed with the help of GIS data of Iran. Meteorological data from renewable energy organization (SUNA) of Iran and other sources, such as NASA, is used for the estimation of solar and wind energy potentials. In this paper, hydro/PV/wind/ fuel cell hybrid system is compared with above system without hydro unit. An advanced variation of genetic algorithm (GA) is proposed to solve the optimization problem. The developed algorithm is compared with HOMER software and the results show that GA accuracy is better than HOMER software. Result reveals the effects of components outages on the reliability and cost of the proposed hybrid system. Thus, they are directly dependent on component’s reliabilities, i.e. Outages result need for a larger generating system for supplying the load with the acceptable reliability. Different system types and their component sizes are identified having a cost of energy less than 0.3 $/KWh.

This paper explores the best energy options by which the choice of the most energy optimized solution for a given GSM Base Station Site and location in any rural area in Nigeria can be made. The patterns of load consumption by mobile base stations at various geographical locations in rural areas are studied and suitably modeled for optimization using HOMER software. Simulation results show the optimized energy options to be superior to conventional solutions whereby diesel generators are currently used to power GSM Base Station Sites around Nigeria. Total Net Present Cost (NPC) and total impact on the environment are used as indices for measuring the optimization level of each energy solution. The solution with the highest optimization value is considered to be the best energy option for that Base Station Site.