scholarly journals Evaluación de la demanda energética de edificios no residenciales en Escocia = Energy demand benchmarking of non-domestic buildings in Scotland

2015 ◽  
Vol 1 (3) ◽  
pp. 31
Author(s):  
Julien Chetboula ◽  
Céline Garnier ◽  
Julio Bros-Williamson
Keyword(s):  
Carbon Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Energy Performance ◽  
Building Stock ◽  
Occupancy Patterns ◽  
Energy Use Intensity ◽  
End Use ◽  
The Uk

ResumenCon los años el rendimiento energético del edificio se ha convertido en una preocupación predominante para los propietarios y administradores de bienes raíces. La atención se centra generalmente en edificios de viviendas, pero en los últimos veinte años un interés en edificios no residenciales ha surgido en el Reino Unido. Los puntos de referencia general se pueden encontrar a escala del Reino Unido, aunque a menudo está restringido a Inglaterra y Gales. Este documento tiene como objetivo proporcionar puntos de referencia para el parque inmobiliario no doméstico escocés como parte del Ayuntamiento de Edimburgo. En esta investigación, la muestra seleccionada incluye datos de energía y las emisiones de carbono calculadas de 199 edificios.Los parámetros decisivos fueron la intensidad de uso de la energía (kWh/m2) y el uso y la edad de los edificios. Esto permitió la creación de seis tipos de edificios, aunque siguiendo patrones de ocupación se dividió en cuatro categorías desde el s. XVI hasta el s. XXI. Los principales resultados revelan el predominio de un clúster de edificios educativos en términos de superficie (72%), el número de edificios (70%), las emisiones de carbono (68% de los cerca de 42.000 toneladas de CO2) y el consumo de energía (61% de la 38,4 MWh de electricidad consumida, y el 73% del 117,4 MWh de gas natural que se consume). Entre estos niveles de consumo destacan el potencial de ahorro de energía para las escuelas: 186 kWh / m2 / año en promedio, en comparación con la media europea de 100 kWh / m2 / año de energía térmica de uso final. AbstractOver the years building energy performance has become a predominant concern for owners and real estate managers. The focus is usually on residential buildings but in the last twenty years an interest in non-domestic buildings has emerged in the UK. Benchmarks can generally be found at UK scale, although often restricted to England and Wales. This paper aims to provide benchmarks for the Scottish non-domestic building stock as part of the City of Edinburgh Council estate. In this research, the selected sample includes energy data and calculated carbon emissions of 199 buildings. The deciding parameters were the energy use intensity (kWh/m2) and the use and age of buildings. The last two allowed the creation of six clusters in which to group buildings of similar occupancy patterns in four age categories from the 16th to the 21st century. The main findings reveal the predominance of an educational buildings cluster in terms of floor area (72%), number of buildings (70%), carbon emissions (68% of about 42,000 tons of CO2), and energy consumption (61% of the 38.4 MWh of electricity consumed, and 73% of the 117.4 MWh of natural gas consumed). These levels of consumption highlight the energy saving potential for schools: 186 kWh/m2/year on average, in comparison with the European average of 100 kWh/m2/year for thermal end-use energy.

Using an Urban Building Energy Modelling Towards a Carbon-Neutral Neighbourhood: A case study of Dublin Ireland

2021 ◽  
Author(s):  
Niall Buckley ◽  
Gerald Mill s ◽  
Christoph Reinhart
Keyword(s):  
Energy Use ◽  
Residential Buildings ◽  
Cost Effective ◽  
Energy Performance ◽  
Level Energy ◽  
Energy Policies ◽  
Economic Sectors ◽  
Building Stock ◽  
Urban Energy ◽  
Energy Use Intensity

<p>The EU’s Green Deal has a goal of a climate-neutral Europe by 2050. Achieving this goal will require a comprehensive set of actions across all economic sectors, especially the building sector, which currently accounts for 40% of the energy consumed.  Residential energy use is a significant contributor, much of it due to the poorly insulated building stock. Making a ‘just transition’ to more energy-efficient cities requires a spatial approach that can address the correspondence of poor housing and people and the potential for energy innovation at a neighbourhood-scale. In this study, a geographic database of building archetypes is developed for use by the Urban Modelling Interface (Umi) to perform simulations of urban energy use intensity and test the efficacy of energy policies. Umi is applied to a neighbourhood of residential buildings in Dublin (Ireland), many of which perform poorly. Simulated annual energy use intensity is evaluated favourably using energy performance certificate data. Umi is used subsequently to design and test the efficacy of district-level energy policies; the results indicate that the most cost-effective mix of envelope retrofit and onsite energy production to achieve the Green Deal’s target of 60% reduction in greenhouse gas emissions by 2030 and 100% by 2050. The methodology shown here employs data and software that is publicly available for many EU countries.</p>

Energy Saving Policies for Housing Based on Wrong Assumptions?

2014 ◽  
Vol 39 (2) ◽  
pp. 78-83
Author(s):  
Henk Visscher ◽  
Dasa Majcen ◽  
Laure Itard
Keyword(s):  
Energy Saving ◽  
Energy Demand ◽  
Energy Use ◽  
Housing Stock ◽  
Energy Performance ◽  
Research Projects ◽  
Building Stock ◽  
Energy Saving Potential ◽  
Energy Performance Of Buildings ◽  
New Buildings

The energy saving potential of the building stock is large and considered to be the most cost efficient to contribute to the CO2 reduction ambitions. Severe governmental policies steering on reducing the energy use seem essential to stimulate and enforce the improvement of the energy performance of buildings with a focus on reducing the heating and cooling energy demand. In Europe the Energy Performance of Buildings Directive is a driving force for member states to develop and strengthen energy performance regulations for new buildings and energy certificates for the building stock. The goals are to build net zero energy new buildings in 2020 and to reach a neutral energy situation in the whole stock by 2050. More and more research projects deliver insight that the expected impact of stricter regulations for newly built houses is limited and the actual effects of energy savings through housing renovations stay behind the expectations. Theoretical energy use calculated on base of the design standard for new houses and assessment standards for Energy Performance Certificates of existing dwellings differ largely from the measured actual energy use. The paper uses the findings of some Post Occupancy Evaluation research projects. Is the energy saving potential of the housing stock smaller than expected and should we therefore change the policies?

scholarly journals Shortcomings and Suggestions to the EPC Recommendation List of Measures: In-Depth Interviews in Six Countries

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2516 ◽  
Author(s):  
Alex Gonzalez Caceres
Keyword(s):  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Energy Performance ◽  
Existing Building ◽  
Efficiency Measures ◽  
Oil Crisis ◽  
Depth Interviews ◽  
Great Portion ◽  
The Eu

Dwellings built between 1945 and 1980 have the largest energy demand in the EU, which by 2009 represented 70% of the final energy use in buildings. A great portion of these dwellings have not been retrofitted and most of them were not built with any energy efficiency measures, since most of the energy regulations were implemented after the oil crisis in the 70s. To face this issue several actions were taken in the EU, among these, the implementation of Energy Performance Certification, which includes a Recommendation List of Measures (RLMs) to retrofit the property. The main objective of this study is to identify the weaknesses of the RLMs and to suggest changes to improve the quality and impact of this feature. The results indicate that to retrofit an existing building, the RLMs lack information for decision-making. The study suggests important barriers to overcome for achieving potential energy reductions in existing residential buildings, highlighting improvements to the recommendation content and its implementation.

scholarly journals Framework for Developing a Low-Carbon Energy Demand in Residential Buildings Using Community-Government Partnership: An Application in Saudi Arabia

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4954
Author(s):  
Mohammad AlHashmi ◽  
Gyan Chhipi-Shrestha ◽  
Kh Md. Nahiduzzaman ◽  
Kasun Hewage ◽  
Rehan Sadiq
Keyword(s):  
Saudi Arabia ◽  
Energy Demand ◽  
Energy Use ◽  
Residential Buildings ◽  
Ghg Emissions ◽  
Clean Energy ◽  
Building Energy ◽  
Energy Performance ◽  
Low Carbon ◽  
Geographical Regions

Rapid population growth has led to significant demand for residential buildings around the world. Consequently, there is a growing energy demand associated with increased greenhouse gas (GHG) emissions. The residential building energy demand in arid countries such as Saudi Arabia is supplied with fossil fuel. The existing consumption pattern of fossil fuels in Saudi Arabia is less sustainable due to the depletion of fossil fuel resources and resulting environmental impacts. Buildings built in hot and arid climatic conditions demand high energy for creating habitable indoor environments. Enormous energy is required to maintain a cool temperature in hot regions. Moreover, climate change may have different impacts on hot climatic regions and affect building energy use differently. This means that different building interventions may be required to improve the performance of building energy performance in these geographical regions, thereby reducing the emissions of GHGs. In this study, this framework has been applied to Saudi Arabia, a hot and arid country. This research proposes a community–government partnership framework for developing low-carbon energy in residential buildings. This study focuses on both the operational energy demand and a cost-benefit analysis of energy use in the selected geographical regions for the next 30 years (i.e., 2050). The proposed framework primarily consists of four stages: (1) data collection on energy use (2020 to 2050); (2) setting a GHG emissions reduction target; (3) a building intervention approach by the community by considering cost, energy, and GHG emissions using the Technique for Order of Performance by Similarity to the Ideal Solution (TOPSIS) to select the best combinations in each geographical region conducting 180 simulations; and (4) a clean energy approach by the government using grey relational analysis (GRA) to select the best clean energy system on the grid. The clean energy approach selected six different renewable power generation systems (i.e., PV array, wind turbine, hybrid system) with two storage systems (i.e., battery bank and a combination of electrolyte, fuel cell, and hydrogen tank storage). This approach is designed to identify the best clean energy systems in five geographical regions with thirty scenario analyses to define renewable energy-economy benefits. This framework informs through many engineering tools such as residential building energy analysis, renewable energy analysis, multi-criteria decision analysis (MCDA) techniques, and cost-benefit analysis. Integration between these engineering tools with the set of energy policies and public initiatives is designed to achieve further directives in the effort to reach greater efficiency while downsizing residential energy demands. The results of this paper propose that a certain level of cooperation is required between the community and the government in terms of financial investments and the best combinations of retrofits and clean energy measures. Thus, retrofits and clean energy measures can help save carbon emissions (enhancing the energy performance of buildings) and decrease associated GHG emissions, which can help policy makers to achieve low-carbon emission communities.

scholarly journals TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS

2021 ◽  
Vol XLVI-4/W1-2021 ◽  
pp. 69-76
Author(s):  
C. León-Sánchez ◽  
D. Giannelli ◽  
G. Agugiaro ◽  
J. Stoter
Keyword(s):  
The Netherlands ◽  
Energy Demand ◽  
Residential Buildings ◽  
Energy Performance ◽  
Building Envelope ◽  
Simulation Software ◽  
Energy Simulation ◽  
Building Stock ◽  
Simulation Tools ◽  
Energy Simulations

Abstract. The 3D BAG v. 2.0 dataset has been recently released: it is a country-wide dataset containing all buildings in the Netherlands, modelled in multiple LoDs (LoD1.2, LoD1.3 and LoD2.2). In particular, the LoD2.2 allows differentiating between different thematic surfaces composing the building envelope. This paper describes the first steps to test and use the 3D BAG 2.0 to perform energy simulations and characterise the energy performance of the building stock. Two well-known energy simulation software packages have been tested: SimStadt and CitySim Pro. Particular care has been paid to generate a suitable, valid CityGML test dataset, located in the municipality of Rijssen-Holten in the central-eastern part of the Netherlands, that has been then used to test the energy simulation tools. Results from the simulation tools have been then stored into the 3D City Database, additionally extended to deal with the CityGML Energy ADE. The whole workflow has been checked in order to guarantee a lossless dataflow.The paper reports on the proposed workflow, the issues encountered, some solutions implemented, and what the next steps will be.

scholarly journals Baselines for Energy Use and Carbon Emission Intensities in Hellenic Nonresidential Buildings

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2100 ◽  
Author(s):  
Kalliopi G. Droutsa ◽  
Constantinos A. Balaras ◽  
Spyridon Lykoudis ◽  
Simon Kontoyiannidis ◽  
Elena G. Dascalaki ◽  
...  
Keyword(s):  
Energy Use ◽  
Average Energy ◽  
Energy Performance ◽  
Primary Energy ◽  
Hot Water ◽  
Building Stock ◽  
Domestic Hot Water ◽  
Energy Consuming ◽  
Energy Use Intensity ◽  
Cram Schools

This work exploits data from 30,000 energy performance certificates of whole nonresidential (NR) buildings in Greece. The available information is analyzed for 30 different NR building uses (e.g., hotels, schools, sports facilities, hospitals, retails, offices) and four main services (space heating, space cooling, domestic hot water and lighting). Data are screened in order to exclude outliers and checked for consistency with the Hellenic NR building stock. The average energy use and CO2 emission intensities for all building uses are calculated, as well as the respective energy ratings in order to gain a better understanding of the NR sector. Finally, in an attempt to determine whether these values are representative for the various Hellenic NR building uses, their temporal evolution is investigated. The average primary energy use intensity is 448.0 kWh/m2 for all NR buildings, while the CO2 emissions reach 147.5 kgCO2/m2. The derived energy baselines reveal that indoor sports halls/swimming pools have the highest energy use, while private cram schools/conservatories have the lowest, due to their operational patterns. Generally, from the four services taken into account, lighting is the most energy consuming, followed by cooling, heating and finally domestic hot water. For a total of 11 building uses, more data from the certificates will be necessary for deriving representative baselines, but, when it comes to buildings categories, more data are required.

scholarly journals Numerical assessment of self-sufficiency of residential buildings in Belgium by using heat pumps, photovoltaic panels and energy storages

2021 ◽  
Vol 2069 (1) ◽  
pp. 012115
Author(s):  
Katarina Simic ◽  
Klaas Thiers ◽  
Hugo Montyne ◽  
Jan Desmet ◽  
Michel De Paepe
Keyword(s):  
Energy Storage ◽  
Energy Demand ◽  
Energy Use ◽  
Numerical Models ◽  
Residential Buildings ◽  
Energy Performance ◽  
Hot Water ◽  
The Self ◽  
Space Heating ◽  
Self Sufficiency

Abstract Residential buildings claim a significant share of the total energy use worldwide. In order to have more realistic energy performance predictions, increased attention is paid to the analysis of the building’s energy use through comprehensive, transient detailed numerical simulations. In this article, the self-consumption and self-sufficiency values of three detached residential buildings are assessed through numerical models made in the programming language Modelica and software tool Dymola. The three buildings have the same structure and different space heating energy demands of 15 kWh/m2year, 30 kWh/m2year and 45 kWh/m2year. The energy use of the buildings coincides with the occupancy profile where domestic hot water use dominates over the space heating demand provided by an air to water heat pump. The discrepancy between renewable energy production and energy consumption is mitigated by means of thermal load shifting and electrical energy storage. In this research, the self-consumption and self-sufficiency of the studied buildings have been analysed as a function of the economically favourable energy storage sizing. For the use of an electrical battery with the installed capacity of 2.5 kWh and thermal energy storage of 250 l, the self-sufficiency results to be 40%, 38.5% and 37% for the three buildings respectively at the specific simulated energy demand conditions.

scholarly journals Development and Application of a Flexible Modeling Approach to Reference Buildings for Energy Analysis

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5815
Author(s):  
Younghoon Kwak ◽  
Jeonga Kang ◽  
Sun-Hye Mun ◽  
Young-Sun Jeong ◽  
Jung-Ho Huh
Keyword(s):  
Energy Analysis ◽  
Residential Buildings ◽  
Energy Performance ◽  
Strategy Development ◽  
Building Stock ◽  
Ghg Mitigation ◽  
Modeling Approach ◽  
Flexible Modeling ◽  
Country Level ◽  
End Use

This paper proposes a flexible modeling approach to develop a theoretical reference building (RB) for energy analysis. We designed an RB for five non-residential buildings, using dynamic simulation from statistically analyzed data of building stock in South Korea. For modeling, four subsets of data—form, envelope, system, and operation—were assessed. This study uses the autosizing function within EnergyPlus, to develop the RB. The proposed approach allows for a flexible design where capacities and flow rates of the heating, ventilation, and air-conditioning (HVAC) system match the newly defined RB model. This approach would be ideal for closing the gap between the architectural data and equipment elements. The RB developed in this study allows for performing energy performance analysis by end-use. The analysis results by the end-use can provide support for country-level greenhouse gas (GHG)-mitigation-strategy development.

scholarly journals Climate Change Scenarios and Their Implications on the Energy Performance of Hellenic Non-Residential Buildings

2021 ◽  
Vol 13 (23) ◽  
pp. 13005
Author(s):  
Kalliopi G. Droutsa ◽  
Simon Kontoyiannidis ◽  
Constantinos A. Balaras ◽  
Athanassios A. Argiriou ◽  
Elena G. Dascalaki ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Use ◽  
Residential Buildings ◽  
Energy Performance ◽  
Climate Change Scenarios ◽  
Baseline Scenario ◽  
Climate Data ◽  
Building Stock ◽  
Heating And Cooling ◽  
The Future

It is important to understand how the climate is changing in order to prepare for the future, adapt if necessary, and, most importantly, take proper precautionary measures to alleviate major negative impacts. This work investigates the potential impacts of climate change on the anticipated energy performance of the existing Hellenic building stock until the end of the century. The assessment considers average climatic projections for two future time periods, one for the near and one for the distant future, following two representative concentration pathways (RCPs). The first one is a baseline scenario (RCP8.5) representing the highest greenhouse gas emissions. The second is an intermediate stabilization scenario (RCP4.5), assuming the imposition of conservative emissions mitigation policies. The future climate data are generated for 62 cities throughout Greece. As a case study, the work focuses on Hellenic non-residential (NR) whole buildings, analyzing available data collected during about 2500 energy audits of real NR buildings. The available data are used to assess the buildings’ heating and cooling demand and energy use. The annual average air temperature for Greece in 2050 is projected to increase by 1.5 K for the RCP4.5 scenario and by 1.9 K for the RCP8.5 scenario. In 2090, the increase is estimated to reach 1.7 K and 4.2 K, respectively. Accordingly, if the existing NR buildings are not renovated, the average heating energy use is expected to decrease by 22–26% in 2050 and by 23–52% in 2090. On the other hand, the average cooling energy use is expected to increase by 24–30% in 2050 and by 28–66% in 2090.

scholarly journals Estimation of Energy Savings Potential in Higher Education Buildings Supported by Energy Performance Benchmarking: A Case Study

Environments ◽  
2018 ◽  
Vol 5 (8) ◽  
pp. 85 ◽  
Author(s):  
Hermano Bernardo ◽  
Filipe Oliveira
Keyword(s):  
Energy Efficiency ◽  
Energy Savings ◽  
Residential Buildings ◽  
Building Energy ◽  
Energy Performance ◽  
Energy Usage ◽  
Building Stock ◽  
Performance Benchmarking ◽  
End Use

This paper presents results of work developed in the field of building energy benchmarking applied to the building stock of the Polytechnic Institute of Leiria, Portugal, based on a thorough energy performance characterisation of each of its buildings. To address the benchmarking of the case study buildings, an energy efficiency ranking system was applied. Following an energy audit of each building, they were grouped in different typologies according to the main end-use activities developed: Pedagogic buildings, canteens, residential buildings and office buildings. Then, an energy usage indicator was used to establish a metric to rank the buildings of each typology according to their energy efficiency. The energy savings potential was also estimated, based on the reference building energy usage indicator for each typology, and considering two different scenarios, yielding potential savings between 10% and 34% in final energy consumption.

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