Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels

D Amaripadath, R Rahif, W Zuo, M Velickovic… - Energy and …, 2023 - Elsevier
As climate change continues, it is expected that the risk of overheating will rise in both new
and existing buildings in mixed humid climate zones in Europe. This study introduced a …

Assessing thermo-physical products' efficiency in the building and construction industry: a bibliometric analysis approach

AK Singh, SC Sathvik, L Krishnaraj, M Irfan… - … Science and Pollution …, 2023 - Springer
This study aims to assess the performance of thermophysical materials in the construction
and building industry to establish the necessary academic basis for the interpretation of …

Empirical validation of building energy simulation model input parameter for multizone commercial building during the cooling season

Y Yoon, S Jung, P Im, M Salonvaara… - … and Sustainable Energy …, 2023 - Elsevier
This paper presents a critical advancement in Building Energy Modeling (BEM) through an
empirical validation approach using a high-quality dataset from a multizone commercial …

Building energy demand assessment through heating degree days: The importance of a climatic dataset

A D'Amico, G Ciulla, D Panno, S Ferrari - Applied energy, 2019 - Elsevier
The weather is one of the main factors to consider when designing a building because it
represents the most important boundary condition to affect the dynamic behaviour of the …

Approach to local climate zone based energy consumption assessment in an Indian city

R Kotharkar, A Ghosh, S Kapoor, DGK Reddy - Energy and Buildings, 2022 - Elsevier
Urban areas housing 55% of the global population consume nearly 75% of the global
primary energy supply. Rapid population growth and the current pace of urbanization are …

CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit …

F Ascione, N Bianco, C De Stasio, GM Mauro… - Energy and …, 2017 - Elsevier
The cost-optimal analysis provides the most cost-effective energy retrofit solutions. This can
strongly support the deep renovation of buildings. However, an outstanding question arises …

Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in …

M Beccali, G Ciulla, VL Brano, A Galatioto… - Energy, 2017 - Elsevier
The public buildings sector represents one of the most intensive items of EU energy
consumption; the application of retrofit solutions in existing buildings is a crucial way to …

Energy and economic analysis and feasibility of retrofit actions in Italian residential historical buildings

G Ciulla, A Galatioto, R Ricciu - Energy and Buildings, 2016 - Elsevier
The application of retrofit actions to existing building stocks can improve the energy
performance of the residential sector. In this context, particular attention should be given to …

Heating load prediction based on attention long short term memory: A case study of Xingtai

G Xue, C Qi, H Li, X Kong, J Song - Energy, 2020 - Elsevier
An accurate heating load prediction algorithm can play an important role in smart district
heating systems (SDHS), which is helpful for realizing on-demand heating and fine control …

Using modified multiple heating-degree-day (HDD) and cooling-degree-day (CDD) indices to estimate building heating and cooling loads

LDD Harvey - Energy and Buildings, 2020 - Elsevier
There is substantial confusion in the literature concerning the appropriate reference
temperatures to use for the computation of heating-degree-day (HDD) and cooling-degree …