RESIDENTIAL SOLAR ENERGY POTENTIAL FOR PUBLIC DISSEMINATION: A CASE STUDY IN CONCEPCIÓN, CHILE

2016 ◽  
Vol 11 (1) ◽  
pp. 118-133 ◽  
Author(s):  
Rodrigo García Alvarado ◽  
Lorena Troncoso ◽  
Pablo Campos
Keyword(s):  
Solar Energy ◽  
Energy Demand ◽  
Geographical Location ◽  
Average Energy ◽  
Aerial Photographs ◽  
Energy Potential ◽  
Technical Standards ◽  
Dynamic Simulations ◽  
Residential Units

This paper presents a method for estimating the solar capture capacity of dwellings using the central urban area of Concepción, Chile, as a case study in order to promote self-generation of energy by residents. The method takes into account the growing domestic energy demand and the possibility of meeting this demand through integrated solar energy collection into buildings using different systems. The methodology considers a study of the potential incoming solar radiation on buildings according to their geographical location and the surrounding buildings. The capacity for solar capture is then estimated for different dwelling types according to their morphology. Subsequently, the energy contribution provided by different technologies (solar thermal, photovoltaic and hybrid) is identified in relation to the main average energy demands for electricity, water and space heating. Finally, systems for each dwelling are recommended in an urban map available online. The development is based on climate information, cartography, aerial photographs, surveys, housing models, technical standards, standardised calculations and dynamic simulations, implemented according to building layouts from an online Geographic Information System (GIS). The housing types are categorised in an urban map that relates household demands and the contribution of different solar energy systems. According to the estimates calculated, the residential units in the study offer sufficient solar capacity to supply between 40 and 60% of their energy consumption, especially in detached houses using roof-mounted hybrid systems.

scholarly journals Mapping and modelling urban solar energy pontentials using geospacial data: A Case Study Of Ryerson University Campus

2021 ◽  
Author(s):  
David Forgione
Keyword(s):  
Solar Energy ◽  
Urban Areas ◽  
Geographical Location ◽  
Green Roofs ◽  
Energy Potential ◽  
Urban Centre ◽  
Factors Affecting ◽  
Building Models ◽  
Building Surfaces

Determining the solar energy potential on a surface depends on geographical location, prevailing meteorological conditions, size, shape and orientation of a surface. In urban areas shading is an important parameter, given the density of buildings and must be considered in an evaluation of available irradiation. This thesis develops an integrated workflow for modelling and mapping solar energy potentials in urban areas. This was accomplished through a case study of a typical large urban centre - The City of Toronto, using 3-D building models and selected software tools. The developed workflow was applied and successfully modelled the solar energy potential of buildings in the selected case study area. The results allowed for further characterization of the main factors affecting solar energy potentials on building surfaces in urban areas. This preliminary study indicates that, in comparison to HVAC systems and green roofs, shading may be a less important factor to consider when estimating solar energy potentials in some urban settings.

scholarly journals Mapping and modelling urban solar energy pontentials using geospacial data: A Case Study Of Ryerson University Campus

2021 ◽  
Author(s):  
David Forgione
Keyword(s):  
Solar Energy ◽  
Urban Areas ◽  
Geographical Location ◽  
Green Roofs ◽  
Energy Potential ◽  
Urban Centre ◽  
Factors Affecting ◽  
Building Models ◽  
Building Surfaces

Determining the solar energy potential on a surface depends on geographical location, prevailing meteorological conditions, size, shape and orientation of a surface. In urban areas shading is an important parameter, given the density of buildings and must be considered in an evaluation of available irradiation. This thesis develops an integrated workflow for modelling and mapping solar energy potentials in urban areas. This was accomplished through a case study of a typical large urban centre - The City of Toronto, using 3-D building models and selected software tools. The developed workflow was applied and successfully modelled the solar energy potential of buildings in the selected case study area. The results allowed for further characterization of the main factors affecting solar energy potentials on building surfaces in urban areas. This preliminary study indicates that, in comparison to HVAC systems and green roofs, shading may be a less important factor to consider when estimating solar energy potentials in some urban settings.

scholarly journals Hydrokinetic Energy Opportunity for Rural Electrification in Nigeria

2018 ◽  
Vol 7 (2) ◽  
pp. 183-190 ◽  
Author(s):  
Ogunjuyigbe Ayodeji Samson Olatunji ◽  
Ayodele Temitope Raphael ◽  
Ibitoye Tahir Yomi
Keyword(s):  
Rural Communities ◽  
Energy Demand ◽  
Optimal Investment ◽  
Rural Electrification ◽  
Economic Activities ◽  
Energy Potential ◽  
Ongoing Research ◽  
Hydrokinetic Energy ◽  
Potential Site

This paper is part of the ongoing research by the Power, Energy, Machine and Drive (PEMD) research group of the Electrical Engineering Department of the University of Ibadan. The paper presents various sites with possible hydrokinetic energy potential in Nigeria with the aim of quantifying their energy potential for rural electrification application. Overview of hydrokinetic technology is also presented with the view of highlighting the opportunities and the challenges of the technology for rural electrification. A case study of using hydrokinetic turbine technology in meeting the energy demand of a proposed civic center in a remote community is demonstrated.  Some of the key findings revealed that Nigeria has many untapped hydrokinetic potential site and if adequately harnessed can improve the energy poverty and boost economic activities especially in the isolated and remote rural communities, where adequate river water resource is available. The total estimated untapped hydrokinetic energy potential in Nigeria is 111.15MW with the Northern part of the country having 68.18MW while the Southern part has 42.97MW. The case study shows that harnessing hydrokinetic energy of potential site is promising for rural electrification. This paper is important as it will serve as an initial requirement for optimal investment in hydrokinetic power development in Nigeria.Article History: Received November 16th 2017; Received in revised form April 7th 2018; Accepted April 15th 2018; Available onlineHow to Cite This Article: Olatunji, O.A.S., Raphael, A.T. and Yomi, I.T. (2018) Hydrokinetic Energy Opportunity for Rural Electrification in Nigeria. Int. Journal of Renewable Energy Development, 7(2), 183-190.https://doi.org/10.14710/ijred.7.2.183-190

scholarly journals ANN for Assessment of Energy Consumption of 4 kW PV Modules over a Year Considering the Impacts of Temperature and Irradiance

2019 ◽  
Vol 11 (23) ◽  
pp. 6802 ◽  
Author(s):  
Adel Alblawi ◽  
M. H. Elkholy ◽  
M. Talaat
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Solar Energy ◽  
Relative Error ◽  
Average Energy ◽  
Office Building ◽  
Solar Panels ◽  
Tracking Model ◽  
One Year

Solar energy is considered the greatest source of renewable energy. In this paper, a case study was performed for a single-axis solar tracking model to analyze the performance of the solar panels in an office building under varying ambient temperatures and solar radiation over the course of one year (2018). This case study was performed in an office building at the College of Engineering at Shaqra University, Dawadmi, Saudi Arabia. The office building was supplied with electricity for a full year by the designed solar energy system. The study was conducted across the four seasons of the studied year to analyze the performance of a group of solar panels with the total capacity of a 4 kW DC system. The solar radiation, temperature, output DC power, and consumed AC power of the system were measured using wireless sensor networks (for temperature and irradiance measurement) and a signal acquisition system for each hour throughout the whole day. A single-axis solar tracker was designed for each panel (16 solar panels were used) using two light-dependent resistors (LDR) as detecting light sensors, one servo motor, an Arduino Uno, and a 250 W solar panel installed with an array tilt angle of 21°. Finally, an artificial neural network (ANN) was utilized to estimate energy consumption, according to the dataset of AC load power consumption for each month and the measurement values of the temperature and irradiance. The relative error between the measured and estimated energy was calculated in order to assess the accuracy of the proposed ANN model and update the weights of the training network. The maximum absolute relative error of the proposed system did not exceed 2 × 10−4. After assessment of the proposed model, the ANN results showed that the average energy in the region of the case study from a 4 kW DC solar system for one year, considering environmental impact, was around 8431 kWh/year.

scholarly journals Solar Energy Potential in Turkey

2005 ◽  
Vol 23 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Havva Balat
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Geographical Location ◽  
Clean Energy ◽  
Energy Resources ◽  
Solar Thermal ◽  
Energy Potential ◽  
Yearly Average ◽  
Solar Thermal Applications

In this study, the solar energy potential of Turkey was investigated. Among the alternative clean energy resources in Turkey, the most important one is solar energy. Turkey's solar energy potential has been estimated to be 26.4 million toe as thermal and 8.8 million toe as electricity. Generally, solar energy is used for heating and the consumption of solar energy has increased from 5 ktoe in 1986 to 335 ktoe in 2003. Turkey's geographical location is highly favourable for utilization of solar energy. The yearly average solar radiation is 3.6 kWh/(m2 day) and the total yearly insulation period is approximately 2460 hours, which is sufficient to provide adequate energy for solar thermal applications.

scholarly journals Design of Biomass Combined Heat and Power (CHP) Systems based on Economic Risk using Minimax Regret Criterion

2018 ◽  
Vol 152 ◽  
pp. 01006 ◽  
Author(s):  
Wen Choong Ling ◽  
Viknesh Andiappan ◽  
Yoke Kin Wan
Keyword(s):  
Energy Demand ◽  
Research Work ◽  
Minimax Regret ◽  
Economic Risk ◽  
Energy Potential ◽  
Plant Sensitivity ◽  
Minimax Regret Criterion ◽  
Chp System ◽  
The Given

It is a great challenge to identify optimum technologies for CHP systems that utilise biomass and convert it into heat and power. In this respect, industry decision makers are lacking in confidence to invest in biomass CHP due to economic risk from varying energy demand. This research work presents a linear programming systematic framework to design biomass CHP system based on potential loss of profit due to varying energy demand. Minimax Regret Criterion (MRC) approach was used to assess maximum regret between selections of the given biomass CHP design based on energy demand. Based on this, the model determined an optimal biomass CHP design with minimum regret in economic opportunity. As Feed-in Tariff (FiT) rates affects the revenue of the CHP plant, sensitivity analysis was then performed on FiT rates on the selection of biomass CHP design. Besides, design analysis on the trend of the optimum design selected by model was conducted. To demonstrate the proposed framework in this research, a case study was solved using the proposed approach. The case study focused on designing a biomass CHP system for a palm oil mill (POM) due to large energy potential of oil palm biomass in Malaysia.

scholarly journals 3D Solar Photovoltaic Community Energy Modeling

2021 ◽  
Author(s):  
Annie Chow
Keyword(s):  
Solar Energy ◽  
Software Tools ◽  
Measured Data ◽  
Computational Time ◽  
Solar Pv ◽  
3D Gis ◽  
Energy Potential ◽  
Gis Modeling ◽  
Different Types

<div>The aim of this research is to increase the assessment ability of solar energy utilization and planning support for clusters of different types of buildings in a mixed-use community. Particular focus will be placed on the analysis of community-based modeling, mapping and forecasting of solar potentials on the rooftops of buildings. New systems and methodologies with appropriate level of detail at a lower computational time are needed to accurately model, estimate and map solar energy potential at a high spatiotemporal resolution. To accomplish this goal and to develop an integrated solution, the assessment ability was investigated using two different types of studies: (1) 3D GIS modeling of a solar energy community, and (2) benchmarking of solar PV radiation software tools. A 3D GIS modeling and mapping approach was developed to assess community solar energy potential. A model was created in ESRI ArcGIS, to efficiently compute and iterate the hourly solar modeling and mapping process over a simulated year. The methodology was tested on a case study area located in southern Ontario, where two different 3D models of the site plan were analyzed. The accuracy of the work depended on the resolution and sky size of the input model. An assessment of solar simulation software tools was performed to evaluate their strengths and weaknesses for performing analysis in the PV modeling process. The software tools assessed were HelioScope, PVsyst, PV*SOL,</div><div>Archelios, EnergyPlus, and System Advisor Model (SAM). The performance of the software tools were assessed based upon their accuracy in simulation performance against measured data, and the comparison of their physical functions and capabilities. A case study near London, Ontario with an 8.745kWp PV system installation was selected for analysis, and EnergyPlus was found to have predictions closest to measured data, ranging from -0.6% to 3.6% accuracy. Based upon the GIS study and the evaluation of the six solar software tools, recommendations for the development of a future application to couple GIS with the internal submodels of the software tools were made to create the ideal tool for 3D modeling and mapping of solar PV potential. </div>

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