Multi-objective optimization of passive energy efficiency measures for net-zero energy building in Morocco

Abdou, N.; Mghouchi, Y. El; Hamdaoui, Said; Asri, N. El; Mouqallid, Mhamed

doi:10.1016/j.buildenv.2021.108141

Cited by 107 publications

(48 citation statements)

References 39 publications

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“…In view of the basic building design requirements, building energy efficiency design not only serves to improve energy performance, but also serves to improve other aspects including economic benefits, environmental impacts, and indoor comfort. The economic benefits mainly include the energy cost and the life cycle invested cost [14][15][16]. The environmental impacts can be improved by minimizing annual energy consumption, carbon dioxide (CO 2 ) emissions, and heating and cooling loads as discussed in previous studies [15][16][17][18][19].…”

Section: Literature Review 21 Methods For Multi-objective Building Designmentioning

confidence: 99%

A GP-Based Hierarchical Objectives Decision-Making Method for Building Energy Efficiency Optimization

Liu

Sun

2022

Buildings

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Building energy efficiency, which is critical in reducing environmental impact, has become one of the most important objectives of building designs. In order to precisely express the goals of building designs, and help decision makers estimate the ultimate performance of design schemes in advance when searching for the optimal building design, the Goal Programming Model (GPM) is introduced in this study to provide a solution for explicit design objective delivery and multi-stakeholder involved decision-making support. In this proposed method, EnergyPlusTM works as a simulation engine to search for the relationship between design parameter combinations and building energy consumption. Simultaneously, Genetic Algorithm (GA) is used to improve the efficiency of overall building energy performance optimization by processing multiple iterations. A case study with five possible design scenarios was dedicated in this study to implement the proposed optimization method, and the optimization results verified the capacity of the established GP-based optimization method to satisfy various design requirements for decision makers and/or stakeholders, especially in facing the hierarchical objectives with different priorities. In this case, the envelope-related variables, including the exterior wall and window, serve as optimization objectives. The optimization is carried out under the ideal air conditioning system, considering different energy usage patterns. Meanwhile, comparing with the vague and restricted expression of objectives in multi-objective optimization, the proposed GP-based optimization method provides explicit trade-off relationships among various objectives for designers, which improves the practical value of the optimized designs, so as to ensure the project success and facilitate the development of green buildings.

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Section: Literature Review 21 Methods For Multi-objective Building Designmentioning

confidence: 99%

A GP-Based Hierarchical Objectives Decision-Making Method for Building Energy Efficiency Optimization

Liu

Sun

2022

Buildings

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“…Existing studies have mainly focused on environmental sustainability in residential buildings. In other words, various research has been actively conducted on energy-saving technologies such as zero-energy [26][27][28] and environmental performance evaluation methods such as LCA [29][30][31].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Kaewunruen et al [27] provided a digital twin model for Net Zero Energy Buildings (NZEB) applications in existing buildings, which applied renewable technologies to the building by aiming to identify ultimate benefit of the building especially in terms of effectiveness and efficiency in energy consumption. Abdou et al [28] assessed the possibility of achieving net zero energy building in the Moroccan housing stock by combining architectural energy efficiency practices and renewable energies for hot water and electricity productions. Meex et al [29] investigated possible solutions to apply LCA, including operational energy demand simulation, in early design from two different perspectives: design-oriented user requirements, derived from literature, a survey, interviews, and a focus group with architects; and LCA simplification strategies based on a literature review.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Cho

Lee

et al. 2021

Sustainability

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In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.

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“…There are various studies to reduce the energy consumption of buildings too [9,10]. An effort has been made to reduce the energy consumption load of buildings with active design parameters and by developing technological facilities [11,12].…”

Section: Introductionmentioning

confidence: 99%

Determination of Optimum Envelope of Religious Buildings in Terms of Thermal Comfort and Energy Consumption: Mosque Cases

2021

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Mosques are quite different from other building types in terms of occupant type and usage schedule. For this reason, they should be evaluated differently from other building types in terms of thermal comfort and energy consumption. It is difficult and probably not even necessary to create homogeneous thermal comfort in mosques’ entire usage area, which has large volumes and various areas for different activities. Nevertheless, energy consumption should be at a minimum level. In order to ensure that mosques are minimally affected by outdoor climatic changes, the improvement of the properties of the building envelope should have the highest priority. These optimal properties of the building envelope have to be in line with thermal comfort in mosques. The proposed method will be a guide for designers and occupants in the design process of new mosques or the use of existing mosques. The effect of the thermal properties of the building envelope on energy consumption was investigated to ensure optimum energy consumption together with an acceptable thermal comfort level. For this purpose, a parametric simulation study of the mosques was conducted by varying optical and thermal properties of the building envelope for a temperature humid climate zone. The simulation results were analyzed and evaluated according to current standards, and an appropriate envelope was determined. The results show that thermal insulation improvements in the roof dome of buildings with a large volume contributed more to energy savings than in walls and foundations. The use of double or triple glazing in transparent areas is an issue that should be considered together with the solar energy gain factor. Additionally, an increasing thickness of thermal insulation in the building envelope contributed positively to energy savings. However, the energy savings rate decreased after a certain thickness. The proposed building envelope achieved a 33% energy savings compared to the base scenario.

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Multi-objective optimization of passive energy efficiency measures for net-zero energy building in Morocco

Cited by 107 publications

References 39 publications

A GP-Based Hierarchical Objectives Decision-Making Method for Building Energy Efficiency Optimization

A GP-Based Hierarchical Objectives Decision-Making Method for Building Energy Efficiency Optimization

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

Determination of Optimum Envelope of Religious Buildings in Terms of Thermal Comfort and Energy Consumption: Mosque Cases

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