Phase change material based advance solar thermal energy storage systems for building heating and cooling applications: A prospective research approach

VV Tyagi, K Chopra, B Kalidasan, A Chauhan… - Sustainable Energy …, 2021 - Elsevier
This paper explicitly deals with the role of thermal energy storage (TES) with respect to
energy performance measures in buildings. Buildings constitute about 50% of the total …

A review on optimization methods applied in energy-efficient building geometry and envelope design

F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …

Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency

P Pilechiha, M Mahdavinejad, FP Rahimian… - Applied Energy, 2020 - Elsevier
This paper presents a new, multi-objective method of analysing and optimising the energy
processes associated with window system design in office buildings. The simultaneous …

Ten questions concerning model predictive control for energy efficient buildings

M Killian, M Kozek - Building and Environment, 2016 - Elsevier
Buildings are dynamical systems with several control challenges: large storage capacities,
switching aggregates, technical and thermal constraints, and internal and external …

Existing building retrofits: Methodology and state-of-the-art

Z Ma, P Cooper, D Daly, L Ledo - Energy and buildings, 2012 - Elsevier
Retrofitting of existing buildings offers significant opportunities for reducing global energy
consumption and greenhouse gas emissions. This is being considered as one of main …

Review of passive PCM latent heat thermal energy storage systems towards buildings' energy efficiency

N Soares, JJ Costa, AR Gaspar, P Santos - Energy and buildings, 2013 - Elsevier
This paper aims to explore how and where phase change materials (PCMs) are used in
passive latent heat thermal energy storage (LHTES) systems, and to present an overview of …

Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making

S Seyedzadeh, FP Rahimian, S Oliver, S Rodriguez… - Applied Energy, 2020 - Elsevier
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …

A review of computational optimisation methods applied to sustainable building design

R Evins - Renewable and sustainable energy reviews, 2013 - Elsevier
This paper presents a comprehensive review of all significant research applying
computational optimisation to sustainable building design problems. A summary of common …

Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application

E Asadi, MG Da Silva, CH Antunes, L Dias… - Energy and …, 2014 - Elsevier
Retrofitting of existing buildings offers significant opportunities for improving occupants'
comfort and well-being, reducing global energy consumption and greenhouse gas …

Energy performance optimization of existing buildings: A literature review

N Hashempour, R Taherkhani, M Mahdikhani - Sustainable Cities and …, 2020 - Elsevier
Energy retrofit and renovation of existing buildings have an effective role in reducing carbon
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …