Parametric-based and automatized GIS application to calculate energy savings of the building envelope in rehabilitated nearly zero energy buildings (nZEB). Case study of Zaragoza, Spain

García-Ballano, Claudio Javier; Ruíz-Varona, Ana; Casas-Villarreal, Luis

doi:10.1016/j.enbuild.2020.109922

Cited by 8 publications

(3 citation statements)

References 17 publications

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“…Other authors study the energy saving potential of retrofitting existing buildings at an urban scale. García-Ballano et al [27] use GIS and cadastral data to evaluate the potential energy savings generated by the energy retrofit of the housing stock of Zaragoza (Spain). However, this study does not consider the environmental nor economic implications.…”

Section: Introductionmentioning

confidence: 99%

Heating Energy Consumption and Environmental Implications Due to the Change in Daily Habits in Residential Buildings Derived from COVID-19 Crisis: The Case of Barcelona, Spain

et al. 2021

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The COVID-19 crisis has changed daily habits and the time that people spend at home. It is expected that this change may have environmental implications because of buildings’ heating energy demand. This paper studies the energy and environmental implications, from a Life Cycle Assessment (LCA) approach, due to these new daily habits in residential buildings at their current level of thermal insulation, and in different scenarios of thermal retrofit of their envelope. This study has a building-to-building approach by using Geographical Information Systems (GIS) for the residential housing stock in the case of Barcelona, Spain. The results show that a change in daily habits derived from the pandemic can increase the heating energy consumption and carbon dioxide emission in residential buildings by 182%. Retrofitting all buildings of Barcelona, according to conventional energy renovation instead of nearly Zero Energy Buildings (nZEB), will produce between 2.25 × 107 and 2.57 × 107 tons of carbon dioxide. Retrofitting the building stock using energy recovery is the option with better energy and emission savings, but also is the option with higher payback time for buildings built until 2007. The methodology presented can be applied in any city with sufficient cadastral data, and is considered optimal in the European context, as it goes for calculating the heating energy consumption.

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Section: Introductionmentioning

confidence: 99%

Heating Energy Consumption and Environmental Implications Due to the Change in Daily Habits in Residential Buildings Derived from COVID-19 Crisis: The Case of Barcelona, Spain

et al. 2021

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“…Praene et al defined accurate climate zones to evaluate the thermal performance [31]. Garcia-Ballano et al calculated energy savings in rehabilitated buildings after the improvement of the exterior building envelope [32]. In addition, the GIS techniques have been combined with multi-criteria decision-making tools to set up plus-energy buildings [33], and machine-learning technology has been combined with GIS to evaluate retrofit potential in buildings [34].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Quantifying the Energy Saving Potentials Combining Building Retrofitting, Solar Thermal Energy and Geothermal Resources

et al. 2020

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New technological, societal and legislative developments are necessary to support transitions to low-carbon energy systems. The building sector is responsible for almost 36% of the global final energy and 40% of CO2 emissions, so this sector has high potential to contribute to the expansion of positive energy districts. With this aim, a new digital Geographic Information System (GIS) platform has been developed to quantify the energy savings obtained through the implementation of refurbishment measures in residential buildings, including solar thermal collectors and geothermal technologies and assuming the postal district as the representative unit for the territory. Solar resources have been estimated from recently updated solar irradiation maps, whereas geothermal resources have been estimated from geological maps. Urbanistic data have been estimated from official cadastre databases. For representative buildings, the annual energy demand and savings are obtained and compared with reference buildings, both for heating and cooling. The GIS platform provides information on average results for each postal district, as well as estimates for buildings with particular parameters. The methodology has been applied to the Asturian region, an area of about 10,600 km2 on the Cantabrian coast of Spain, with complex orography and scattered population, qualified as a region in energy transition. High rehabilitation potentials have been achieved for buildings constructed before the implementation of the Spanish Technical Building Code of 2006, being higher for isolated houses than for collective buildings. Some examples of results are introduced in specific localities of different climatic zones.

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“…For the Dutch scenario of localized strategies to effectively tackle energy transition issues, regional and local analytics play an important role. In this context, using GIS as a decision support tool in energy modelling [254][255][256] and policy development [253,257,258] has already shown tremendous added value.…”

Section: Q1 How Can Data Regarding Current Pv Installations and Solar...mentioning

confidence: 99%

Gis4pv

Kausika¹

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Photovoltaic solar energy is one of the fastest growing renewable energy resources which is being adopted by households and large organizations alike. Encouraging citizens to switch to this renewable energy source requires an understanding of the factors that influence this phenomenon. Technology hereby plays an important role to comprehend the complex process and present it in a way that is straightforward for both policymakers and citizens to recognize and realize. Moreover, integration of this energy source into the existing power grid, implies the need for strategies aimed at identifying new routes that minimize visual and environmental impact, cost and social concerns related to new infrastructures. Addressing all these aspects requires an interdisciplinary approach. In this context, the impact of using Geographic Information Systems (GIS) for evaluating the present status, solar potential, policy implications and future tools is investigated in this thesis.Chapter 2 presents a method to evaluate the present status of small and medium scale rooftop solar photovoltaic (PV) installations in the Netherlands. Artificial Intelligence (AI) specifically, Deep Learning (DL) algorithms and geo-spatial techniques are applied on very high-resolution aerial imagery to detect PV installations. The information that is currently missing from the national PV register

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Parametric-based and automatized GIS application to calculate energy savings of the building envelope in rehabilitated nearly zero energy buildings (nZEB). Case study of Zaragoza, Spain

Cited by 8 publications

References 17 publications

Heating Energy Consumption and Environmental Implications Due to the Change in Daily Habits in Residential Buildings Derived from COVID-19 Crisis: The Case of Barcelona, Spain

Heating Energy Consumption and Environmental Implications Due to the Change in Daily Habits in Residential Buildings Derived from COVID-19 Crisis: The Case of Barcelona, Spain

Methodology for Quantifying the Energy Saving Potentials Combining Building Retrofitting, Solar Thermal Energy and Geothermal Resources

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