دورية أكاديمية

A review of approaches and applications in building stock energy and indoor environment modelling

التفاصيل البيبلوغرافية
العنوان: A review of approaches and applications in building stock energy and indoor environment modelling
المؤلفون: Dong, J, Schwartz, Y, Mavrogianni, A, Korolija, I, Mumovic, D
المصدر: Building Services Engineering Research and Technology (2023) (In press).
بيانات النشر: SAGE Publications
سنة النشر: 2023
المجموعة: University College London: UCL Discovery
مصطلحات موضوعية: Building performance evaluation, modelling and simulation, building stock modelling, impact of climate change
الوصف: Current energy and climate policies are formulated and implemented to mitigate and adapt to climate change. To inform relevant building policies, two bottom-up building stock modelling approach: 1) archetype-based and 2) Building-by-building have been developed. This paper presents the main characteristics and applications of these two approaches and evaluates and compares their ability to support policy making. Because of lower data requirements and computational cost, archetype-based modelling approaches are still the mainstream approach to stock-level energy modelling, life cycle assessment, and indoor environmental quality assessment. Building-by-building approaches can better capture the heterogeneous characteristics of each building and are emerging due to the development of data acquisition and computational techniques. The model uncertainties exist in both models which may affect the reliability of outputs, while stochastic archetype models and timeless digital twin model have the potential to address the issue. System dynamics modelling approach can describe and address the dynamics and complexity of often-conflicting policies and achieve co-benefit of multiple policy objectives. This paper aims to provide comprehensive knowledge on building stock modelling for modellers and policymakers, so they could use a building stock model with an appropriate user interface without having to fully understand the underlying algorithms or complexities.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text
اللغة: English
العلاقة: https://discovery.ucl.ac.uk/id/eprint/10166782/1/01436244231163084.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10166782Test/
الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10166782/1/01436244231163084.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10166782Test/
حقوق: open
رقم الانضمام: edsbas.1C3233D3
قاعدة البيانات: BASE