scholarly journals A Comparative Analysis of Different Future Weather Data for Building Energy Performance Simulation

Climate ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 37
Author(s):  
Mamak P.Tootkaboni ◽  
Ilaria Ballarini ◽  
Michele Zinzi ◽  
Vincenzo Corrado
Keyword(s):  
Climate Model ◽  
Dynamical Downscaling ◽  
Residential Building ◽  
Building Energy ◽  
Energy Performance ◽  
Weather Data ◽  
Building Stock ◽  
Building Energy Performance ◽  
The Future ◽  
Residential Building Stock

The building energy performance pattern is predicted to be shifted in the future due to climate change. To analyze this phenomenon, there is an urgent need for reliable and robust future weather datasets. Several ways for estimating future climate projection and creating weather files exist. This paper attempts to comparatively analyze three tools for generating future weather datasets based on statistical downscaling (WeatherShift, Meteonorm, and CCWorldWeatherGen) with one based on dynamical downscaling (a future-typical meteorological year, created using a high-quality reginal climate model). Four weather datasets for the city of Rome are generated and applied to the energy simulation of a mono family house and an apartment block as representative building types of Italian residential building stock. The results show that morphed weather files have a relatively similar operation in predicting the future comfort and energy performance of the buildings. In addition, discrepancy between them and the dynamical downscaled weather file is revealed. The analysis shows that this comes not only from using different approaches for creating future weather datasets but also by the building type. Therefore, for finding climate resilient solutions for buildings, care should be taken in using different methods for developing future weather datasets, and regional and localized analysis becomes vital.

Building energy performance diagnosis using energy bills and weather data

2018 ◽  
Vol 172 ◽  
pp. 181-191 ◽  
Author(s):  
Yang Geng ◽  
Wenjie Ji ◽  
Borong Lin ◽  
Jiajie Hong ◽  
Yingxin Zhu
Keyword(s):  
Building Energy ◽  
Energy Performance ◽  
Weather Data ◽  
Building Energy Performance ◽  
Performance Diagnosis

scholarly journals The application of the EN ISO 52016 standard and its Italian National Annex to assess the heating and cooling needs of a reference office building

2021 ◽  
Vol 312 ◽  
pp. 06003
Author(s):  
Franz Bianco Mauthe Degerfeld ◽  
Ilaria Ballarini ◽  
Giovanna De Luca ◽  
Vincenzo Corrado
Keyword(s):  
Building Energy ◽  
Energy Performance ◽  
Office Building ◽  
Dynamic Calculation ◽  
Building Stock ◽  
Existing Building ◽  
Building Energy Performance ◽  
Heating And Cooling ◽  
Energy Simulations

The EN ISO 52016-1 standard presents a new simplified dynamic calculation procedure, whose aim is to provide an accurate energy performance assessment without excessively increasing the number of data required. The Italian National Annex to EN ISO 52016-1, currently under development, provides some improvements to the hourly calculation method; despite many works can be found in literature on the hourly model of EN ISO 52016-1, the National Annexes application has not been sufficiently analysed yet. The aim of the present work is to assess the main improvements introduced by the Italian National Annex and to compare the main results, in terms of energy need for space heating and cooling. To this purpose, an existing building representative of the Italian office building stock in Northern Italy was selected as a case study. The energy simulations were carried out considering both continuous and reduced operation of the HVAC systems. The options specified in the Italian National Annex were firstly applied one by one, and then all together. The variation of the energy need compared to the international base procedure is finally quantified. For the premises and the scope above discussed, the present work is intended to enhance the standardisation activity towards the adoption of more accurate and trustable calculation methods of the building energy performance.

Defining and demonstrating a smart technology configuration to improve energy performance and occupant comfort in existing buildings: a conceptual framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sidney Newton ◽  
Arezoo Shirazi ◽  
Pernille Christensen
Keyword(s):  
Building Energy ◽  
Energy Performance ◽  
Management Control ◽  
Building Stock ◽  
Content Type ◽  
Existing Building ◽  
Building Energy Performance ◽  
Smart Building ◽  
Building Technology ◽  
Occupant Comfort

PurposeTo achieve the building and property by 2050, decarbonisation goals will now require a significant increase in the rate of improvement in the energy performance of buildings. Occupant behaviour is crucial. This study seeks to guide the application of smart building technology in existing building stock to support improved building energy performance and occupant comfort.Design/methodology/approachThis study follows a logical partitioning approach to the development of a schema for building energy performance and occupant comfort. A review of the literature is presented to identify the characteristics that label and structure the problem elements. A smart building technology framework is overlaid on the schema. The framework is then applied to configure and demonstrate an actual technology implementation for existing building stock.FindingsThe developed schema represents the key components and relationships of building energy performance when combined with occupant comfort. This schema provides a basis for the definition of a smart building technologies framework for existing building stock. The study demonstrates a viable configuration of available smart building technologies that couple building energy performance with occupant comfort in the existing building stock. Technical limitations (such as relatively simple building management control regimes) and pragmatic limitations (such as change management issues) are noted for consideration.Originality/valueThis is the first development of a schema to represent how building energy performance can be coupled with occupant comfort in existing building stock using smart building technologies. The demonstration study applies one of many possible technology configurations currently available, and promotes the use of open source applications with push-pull functionality. The schema provides a common basis and guide for future studies.

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