Green and cool roof choices integrated into rooftop solar energy modelling

Abstract. Increasing the production of clean and environmentally friendly energy has become one of the world agendas as a strategic effort in dealing with long-term climate change. Seeing the potential of the energy produced, the ease in the installation process, with the small risk of harm generated, solar energy has received significant attention from many countries in the world. The potential for solar energy in Indonesia alone reaches 207 GWp, but only 145.81 MWp has been utilized. Currently, the Indonesian government has set a target to build a Solar Power Plant capacity in 2025 of 6.5 GWh. Urban areas are areas with higher energy demand than rural areas, but the availability of vacant land in urban areas is very minimal for installing solar power plants. Therefore, rooftop solar PV(Photovoltaic) can be a solution in dense areas such as cities. Good planning by looking at the potential resources and energy needs in spatial is needed to manage and utilize energy optimally and sustainably in urban areas. This study aims to develop a geospatial assessment for plan smart energy city that uses rooftop solar PV's potential energy in every building that is effective and efficient. The novelty in the analysis of the distribution of the potential for rooftop solar PV development in urban areas integrates meteorological and spatial aspects and socio-economic aspects. Integration of multi-dynamic spatial data uses in determining the rooftop solar PV construction location, such as meteorological data for solar energy potential, increasing energy needs of each building, and socio-economy data. The data source used comes from statistical data and remote sensing data. The analysis will be carried out temporally (2008, 2013, and 2018) to see the pattern of changes in aspects used in a certain period so that the development plan can be carried out more optimally. This research's output is the formation of a priority analysis of solar PV rooftop construction in urban areas, especially the city of Bandung. The result of energy can also produce by the construction of rooftop solar PV in a potential area. This research is expected to be utilized by policymakers to develop renewable energy in the city of Bandung and increase community participation in switching to renewable energy.

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Prospecting urban rooftop solar farm potential in Dublin, Ireland

10.5194/egusphere-egu21-13081 ◽

2021 ◽

Author(s):

Ankit Verma ◽

John Connolly ◽

Noel O'Connor

Keyword(s):

Renewable Energy ◽

High Resolution ◽

Solar Energy ◽

Urban Areas ◽

Renewable Energy Sources ◽

Solar Irradiation ◽

Industrial Building ◽

Surface Model ◽

Very High ◽

Rooftop Solar

The development of a sustainable and renewable energy system is a significant challenge for Ireland. In line with UN and EU policies, Ireland aims to transition to a competitive, low carbon, climate-resilient and environmentally sustainable economy by 2050 (Project Ireland 2040 National Planning Framework). Ireland is committed to an aggregate reduction in CO2 emissions of at least 80% (compared to 1990 levels) by 2050 across the electricity generation, built environment and transport sectors. Renewable energy can help Ireland reduce GHG emissions and carbon footprint as energy demands grow. It also reduces dependencies on fossil fuels as well as increases energy supply security.According to the Sustainable Energy Authority of Ireland&#8217;s &#8220;Energy in Ireland 2020&#8221; report, 36.5% of electricity demand was met by renewable energy sources in 2019. Wind energy contributes 32% while solar energy contributes to <1%. Significant investment has been made in Ireland&#8217;s wind sector; however, the solar energy sector is relatively new. Ireland has the second-lowest total installed and cumulated solar photovoltaic (PV) capacity in the EU with just 36 MW or 7.3 W per inhabitant. (EurObserv'ER 2019).Solar prospecting is necessary to identify optimum locations where solar farms can be established. Commercial and industrial building rooftops in urban areas offer a suitable location for establishing rooftop solar farms due to good connectivity with the electricity grid and proximity to users. Here we present an urban solar prospecting study in Dublin, Ireland.A very high-resolution geospatial dataset was acquired for 47 industrial areas covering 53.3 km2. The data comprises of very high-resolution aerial images (12.5 cm/pixel) and digital surface model (DSM) (25 cm/pixel).The high-resolution DSMs were used to model solar irradiation on building rooftops in ArcGIS Pro using the area solar analyst tool. These models were optimised for Irish conditions using Met &#201;ireann solar radiation data for Dublin. The maximum solar insolation received in Dublin is 1000-1050 kWh/m2. The results demonstrate that there is potentially a large amount of commercial and industrial rooftop surface area available for PV installation in Dublin. These rooftops can generate a significant amount of electricity and help to offset CO2 emissions.&#160;

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Investigating potential rooftop solar energy generated by Leased Federal Airports in Australia: Framework and implications

Journal of Building Engineering ◽

10.1016/j.jobe.2021.102390 ◽

2021 ◽

pp. 102390

Author(s):

Athenee Teofilo ◽

Qian (Chayn) Sun ◽

Nenad Radosevic ◽

Yaguang Tao ◽

Jerome Iringan ◽

...

Keyword(s):

Solar Energy ◽

Rooftop Solar

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Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus

Sustainability ◽

10.3390/su14020626 ◽

2022 ◽

Vol 14 (2) ◽

pp. 626

Author(s):

Victoria Stack ◽

Lana L. Narine

Keyword(s):

Solar Radiation ◽

Solar Energy ◽

Electricity Generation ◽

The United States ◽

Slope Aspect ◽

Total Solar Radiation ◽

Auburn University ◽

Solar Arrays ◽

Southern Us ◽

Rooftop Solar

Achieving sustainability through solar energy has become an increasingly accessible option in the United States (US). Nationwide, universities are at the forefront of energy efficiency and renewable generation goals. The aim of this study was to determine the suitability for the installation of photovoltaic (PV) systems based on their solar potential and corresponding electricity generation potential on a southern US university campus. Using Auburn University located in the southern US as a case study, freely available geospatial data were utilized, and geographic information system (GIS) approaches were applied to characterize solar potential across the 1875-acre campus. Airborne light detection and ranging (lidar) point clouds were processed to extract a digital surface model (DSM), from which slope and aspect were derived. The area and total solar radiation of campus buildings were calculated, and suitable buildings were then determined based on slope, aspect, and total solar radiation. Results highlighted that of 443 buildings, 323 were fit for solar arrays, and these selected rooftops can produce 27,068,555 kWh annually. This study demonstrated that Auburn University could benefit from rooftop solar arrays, and the proposed arrays would account for approximately 21.07% of annual electricity requirement by buildings, equivalent to 14.43% of total campus electricity for all operations. Given increasing open and free access to high-resolution lidar data across the US, methods from this study are adaptable to institutions nationwide, for the development of a comprehensive assessment of solar potential, toward meeting campus energy goals.

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The Effectiveness of Roofing Cool Coatings On The Building Energy Demand In A Cold Climate

10.32920/ryerson.14665011 ◽

2021 ◽

Author(s):

Tahmina Begum

Keyword(s):

Energy Saving ◽

Energy Demand ◽

Building Energy ◽

Cold Climate ◽

Second Phase ◽

Building Energy Efficiency ◽

Cool Roof ◽

Average Temperature ◽

Energy Modelling ◽

Cool Roofs

An average temperature increase of 2oC over the last 140 years in Toronto may not seem significant, but in reality heating demand for buildings will go down by impacting natural gas usage while cooling demand will go up by impacting electricity-usage. For preparedness against hot summer in cold climate, passive cooling needs to be adopted for building energy efficiency. In warm climate, cool roof technology proves effectiveness in reducing cooling energy demand of buildings but its use in cold climate is not much seen. Thus it is interesting to investigate the effectiveness of cool roofs in cold climate. This study investigates the properties of cool coatings available in North America, their performance on aging and energy saving benefits. The first phase of research includes selection of building, collection of information, field measurement of surface temperatures of the studied building and also lab testing of collected samples. The second phase includes energy modelling of the studied building with validation to understand their energy saving benefits. Finally the most effective cool coating for the studied building is recommended.

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The Effectiveness of Roofing Cool Coatings On The Building Energy Demand In A Cold Climate

10.32920/ryerson.14665011.v1 ◽

2021 ◽

Author(s):

Tahmina Begum

Keyword(s):

Energy Saving ◽

Energy Demand ◽

Building Energy ◽

Cold Climate ◽

Second Phase ◽

Building Energy Efficiency ◽

Cool Roof ◽

Average Temperature ◽

Energy Modelling ◽

Cool Roofs

An average temperature increase of 2oC over the last 140 years in Toronto may not seem significant, but in reality heating demand for buildings will go down by impacting natural gas usage while cooling demand will go up by impacting electricity-usage. For preparedness against hot summer in cold climate, passive cooling needs to be adopted for building energy efficiency. In warm climate, cool roof technology proves effectiveness in reducing cooling energy demand of buildings but its use in cold climate is not much seen. Thus it is interesting to investigate the effectiveness of cool roofs in cold climate. This study investigates the properties of cool coatings available in North America, their performance on aging and energy saving benefits. The first phase of research includes selection of building, collection of information, field measurement of surface temperatures of the studied building and also lab testing of collected samples. The second phase includes energy modelling of the studied building with validation to understand their energy saving benefits. Finally the most effective cool coating for the studied building is recommended.

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R&D of Photovoltaic Thermal (PVT) Systems: an Overview

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v9.i2.pp803-810 ◽

2018 ◽

Vol 9 (2) ◽

pp. 803 ◽

Cited By ~ 3

Author(s):

Ahmad Fudholi ◽

Kamaruzzaman Sopian

Keyword(s):

Heat Transfer ◽

Solar Energy ◽

Exergy Analysis ◽

Transfer Energy ◽

Heat Transfer Medium ◽

Energy Modelling ◽

Energy And Exergy ◽

Energy And Exergy Analysis ◽

And Performance ◽

System Water

Photovoltaic thermal (PVT), which is the popular technology for harvesting solar energy, receive solar energy and convert it into electrical and thermal energy simultaneously. In this review, design, heat transfer, energy modelling and performance analysis of PVT systems are presented. Four types of PVT systems base on heat transfer medium; air-based PVT system, water-based PVT system, the combination of water/air-based PVT system, and nanofluid-based PVT system are presented. In addition, major finding on energy and exergy analysis of PVT systems are summarized.

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INTERGRATION OF LiDAR DATA WITH AERIAL IMAGERY FOR ESTIMATING ROOFTOP SOLAR PHOTOVOLTAIC POTENTIALS IN CITY OF CAPE TOWN

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b7-617-2016 ◽

2016 ◽

Vol XLI-B7 ◽

pp. 617-624 ◽

Cited By ~ 1

Author(s):

A. K. Adeleke ◽

J. L. Smit

Keyword(s):

Solar Energy ◽

Urban Areas ◽

Carbon Dioxide Emissions ◽

Cape Town ◽

Aerial Imagery ◽

Lidar Data ◽

Solar Photovoltaic ◽

Ancillary Data ◽

Building Roof ◽

Rooftop Solar

Apart from the drive to reduce carbon dioxide emissions by carbon-intensive economies like South Africa, the recent spate of electricity load shedding across most part of the country, including Cape Town has left electricity consumers scampering for alternatives, so as to rely less on the national grid. Solar energy, which is adequately available in most part of Africa and regarded as a clean and renewable source of energy, makes it possible to generate electricity by using photovoltaics technology. However, before time and financial resources are invested into rooftop solar photovoltaic systems in urban areas, it is important to evaluate the potential of the building rooftop, intended to be used in harvesting the solar energy. This paper presents methodologies making use of LiDAR data and other ancillary data, such as high-resolution aerial imagery, to automatically extract building rooftops in City of Cape Town and evaluate their potentials for solar photovoltaics systems. Two main processes were involved: (1) automatic extraction of building roofs using the integration of LiDAR data and aerial imagery in order to derive its’ outline and areal coverage; and (2) estimating the global solar radiation incidence on each roof surface using an elevation model derived from the LiDAR data, in order to evaluate its solar photovoltaic potential. This resulted in a geodatabase, which can be queried to retrieve salient information about the viability of a particular building roof for solar photovoltaic installation.

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