Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey

Tamer, Tolga; Dino, İpek Gürsel; Akgül, Çağla Meral

doi:10.1016/j.rser.2022.112396

Cited by 27 publications

(8 citation statements)

References 68 publications

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“…The tool requires statistical 8760-h weather files in EPW format representing a typical meteorological year. Using the Intergovernmental Panel on Climate Change (IPCC) Third Assessment Report model summary data of the Hadley Centre Coupled Model, version 3 with medium emission scenario (HADCM3 A2) [6], a baseline weather file is modified by combining morphing procedures to predict future year weather parameters such as mean temperature, relative humidity, solar irradiance, wind speed, atmospheric pressure, and precipitation [7].…”

Section: Methodsmentioning

confidence: 99%

Future performance evaluation of PCM integrated buildings under changing climate

Tamer

Baker²,

Dino³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The high energy consumption and associated carbon emissions due to the heating and cooling of buildings create a heavy environmental burden. One of the cost-efficient solutions to reduce the heating and cooling demands is to incorporate phase change materials (PCMs) in the building components, increasing the thermal mass of the building and providing latent heat thermal storage. However, the rising temperatures over the years will alter the effectiveness of PCM in building envelopes. In this study, four cities in Turkey with different climatic characteristics were selected. For each city, future weather files representing the climatic conditions of 2050 and 2080 were generated from the current weather data using CCWorldWeatherGen. A typical office building that utilizes gypsum wallboards was modeled with EnergyPlus as a reference case. Alternative energy models were generated by modifying the wallboard compositions (PCM melting temperature: 19-27°C). The building’s annual heating and cooling energy demands were calculated for each city, year, and wallboard alternative. Generated data were analyzed to evaluate the future efficiency of the wallboards with the changing climate over the years in order to maximize the long-term performance gains from PCM incorporating wallboards. The results showed that the selection of the optimum PCM melting temperature of a location should not only depend on thermo-physical and layer properties of the PCM wallboard as the optimum melting temperature of the PCM is subject to change with rising temperatures. The impact of climate change should be considered to fully evaluate the long-term performance of the PCM wallboard in terms of energy use and CO2 emissions.

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Section: Methodsmentioning

confidence: 99%

Future performance evaluation of PCM integrated buildings under changing climate

Tamer

Baker²,

Dino³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…They investigate the affects of water availability on biomass increment of Melia dubia and conclude that its growth rate is highly correlated to water availability [9]. While weather fluctuations have effects on the supply levels of biomass, they affect the building demand as well [10]. Tamer, et al, discuss that climate change, including precipitation fluctuations, adaptation and mitigation actions will result in long-term building performance enhancement.…”

Section: List Of Tablesmentioning

confidence: 99%

“…Tamer, et al, discuss that climate change, including precipitation fluctuations, adaptation and mitigation actions will result in long-term building performance enhancement. The three key-indicators to do so are building energy use, greenhouse gas emissions, and operational cost [10]. In case of precipitation fluctuations, biomass supply chains for buildings will experience changes on both sides of supply and demand.…”

Section: List Of Tablesmentioning

confidence: 99%

Biomass supply chain resilience: integrating demand and availability predictions into routing decisions using machine learning

Esmaeili

Mafakheri

2023

Smart Science

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“…Since the integration of solar technologies through PV into buildings represent an essential branch of approaches for reducing dependency on fossil fuels, solar systems are recommended to be applied or even become an obligation in some cases where new buildings are designed in European Union countries [7]. Due to climate change, onsite energy generation from BIPV gains more importance due to the shift in building energy loads [8].…”

Section: Introductionmentioning

confidence: 99%

Impact of Urban Street Network on BIPV Generation Capacity of Buildings

Duran

Akgül

Dino

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Climate change necessitates a critical reconsideration of the built environment since buildings are among the top fossil fuel consumers. Solar energy generation through building integrated photovoltaic (BIPV) systems is one of the most common onsite energy generation methods. However, many factors regarding urban morphology can negatively affect BIPV generation. Urban block typologies and spatial patterns are commonly studied descriptive metrics of an urban morphology that affect the solar energy potential. Similarly, the street network pattern is a measure of the spatial quality of an urban environment. Although various urban morphology indicators have been extensively studied in relation to solar energy potential, a comparative analysis of urban fabric focusing on street network patterns is also needed. In this study, four representative urban areas with different morphological characteristics are studied. The selected morphologies are parametrically modelled and compared with different building height configurations. A comparative analysis of BIPV generation capacity per square meter façade or roof area is presented. Urban areas without a dominating street network pattern have resulted in greater PV generation on facades, whereas the impact of urban morphology was found negligible for roof PV potential. The findings of this research have the potential to aid in urban planning and architectural design decisions, as well as the efficient use of BIPV systems in diverse urban morphologies.

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Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey

Cited by 27 publications

References 68 publications

Future performance evaluation of PCM integrated buildings under changing climate

Future performance evaluation of PCM integrated buildings under changing climate

Biomass supply chain resilience: integrating demand and availability predictions into routing decisions using machine learning

Impact of Urban Street Network on BIPV Generation Capacity of Buildings

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