Improving the energy performance of residential buildings: A literature review

Boeck, Liesje De; Verbeke, Stijn; Audenaert, Amaryllis; Mesmaeker, L. De

doi:10.1016/j.rser.2015.07.037

Cited by 178 publications

(100 citation statements)

References 100 publications

(151 reference statements)

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“…Other considerations regarding passive design are initial architect design, building envelope, and roof area. These suggestions are in line with the findings from the literature reviews (Boeck et al, 2013). Placing the building orientation not directly facing the sun (to the west or east) can also reduce direct solar heat radiation, thus minimizing air cooler usage.…”

Section: Passive Design and Building Orientationsupporting

confidence: 83%

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Defining Design Parameters for Housing Development in Tropical Climates Using the Near Zero Energy House (nZEH) Concept

Latief¹,

Berawi²,

Koesalamwardi³

et al. 2017

IJTech

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In an effort to support carbon footprint reduction in housing development, one approach is designing energy efficient housing. Issues such as cost efficiency and minimum environmental impact should be thoroughly considered when designing this type of housing. One of concepts found to be cost-effective and to increase the energy performance of a house is the near Zero Energy House (nZEH) concept. This concept enhances the use of natural resources, for example, sunlight exposure, climate conditions, and wind, that can minimize the use of fossil fuel energy. Housing in a tropical climate where sun exposure is year round, such as in Indonesia, can benefit from the nZEH concept. This research aimed to identify design parameters of nZEH and its best practices in tropical climates, including Indonesia. The identified design parameters will be used in the next step of the research, finding a combination of cost optimum design parameters. This study was conducted by consulting recognized experts, which included government, private sector, and academicia, who have expertise in the field of building design and energy. The results showed that the design parameters of nZEH in tropical areas include passive design, fenestration, indoor lighting arrangements, and the use of photovoltaic panels (PV).

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Section: Passive Design and Building Orientationsupporting

confidence: 83%

“…The discussion identified the design parameters of nZEH for tropical climates from literature reviews (Latief et al, 2016;Boeck et al, 2013), which were first explained by the research using the Near Zero Energy House (nZEH) Concept team. Following that, a comprehensive discussion was conducted.…”

Section: Methodsmentioning

confidence: 99%

Defining Design Parameters for Housing Development in Tropical Climates Using the Near Zero Energy House (nZEH) Concept

Latief¹,

Berawi²,

Koesalamwardi³

et al. 2017

IJTech

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“…The issue of energy efficiency and energy efficiency improvement has been addressed from multiple points of view [1,2,10,[18][19][20][21][22][23] until this study was carried out. As compared to other previous studies [2,10,[24][25][26][27][28][29][30][31] the research carried out has studied the issue of projects for increasing the energy efficiency of the dwelling stock at regional and county level, showing that an optimal portfolio of projects at the regional level can be created by using LCC as a criterion for setting up this portfolio.…”

Section: Discussionmentioning

confidence: 99%

Selection of Energy Efficiency Projects for Dwelling Stock to Achieve Optimal Project Portfolio at the Regional Level by Applying LCC. An Analysis Based on Three Scenarios in the South-Muntenia Region of Romania

2018

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Abstract:The joint action of the European directives and the national strategies make the issue of energy efficiency of the dwelling stock one of the main research directions in the field. The purpose of this study is to create and apply a methodology for developing the portfolio of projects to increase the energy efficiency of the dwelling stock at a regional level through the use of life cycle cost. For this, eight types of energy efficiency improvement projects and three implementation scenarios were selected for the dwelling stock. For each project life cycle cost was determined in each county of the South-Muntenia region based on the estimation of the energy requirements, the costs of implementation and exploitation. In all three scenarios, the P3 Energy Efficiency Project (the reference building without shutters under the Romanian normative) had minimal life cycle cost in most counties in the region. For each scenario the life cycle cost was determined for the optimal portfolio of projects at regional level. The maximum scenario was chosen as the optimal scenario for regional implementation.

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“…Global greenhouse gas (GHG) emissions also increase yearly with one gigaton carbon dioxide equivalent (Gt CO 2 − eq) from 2000 to 2010 as compared to 0.4 Gt CO 2 − eq from 1970 to 2010 [1,2]. In the context of China's efforts to reduce the growing energy consumption and GHG emissions, it is widely recognized that the building sector has an important role, accounting for about 20% of the total energy consumption [3] and 35% of the total CO 2 emissions [4].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study

Pan

Xue

et al. 2017

Energies

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Numerous conflicting criteria exist in building design optimization, such as energy consumption, greenhouse gas emission and indoor thermal performance. Different simulation-based optimization strategies and various optimization algorithms have been developed. A few of them are analyzed and compared in solving building design problems. This paper presents an efficient optimization framework to facilitate optimization designs with the aid of commercial simulation software and MATLAB. The performances of three optimization strategies, including the proposed approach, GenOpt method and artificial neural network (ANN) method, are investigated using a case study of a simple building energy model. Results show that the proposed optimization framework has competitive performances compared with the GenOpt method. Further, in another practical case, four popular multi-objective algorithms, e.g., the non-dominated sorting genetic algorithm (NSGA-II), multi-objective particle swarm optimization (MOPSO), the multi-objective genetic algorithm (MOGA) and multi-objective differential evolution (MODE), are realized using the propose optimization framework and compared with three criteria. Results indicate that MODE achieves close-to-optimal solutions with the best diversity and execution time. An uncompetitive result is achieved by the MOPSO in this case study.

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Improving the energy performance of residential buildings: A literature review

Cited by 178 publications

References 100 publications

Defining Design Parameters for Housing Development in Tropical Climates Using the Near Zero Energy House (nZEH) Concept

Defining Design Parameters for Housing Development in Tropical Climates Using the Near Zero Energy House (nZEH) Concept

Selection of Energy Efficiency Projects for Dwelling Stock to Achieve Optimal Project Portfolio at the Regional Level by Applying LCC. An Analysis Based on Three Scenarios in the South-Muntenia Region of Romania

Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study

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