Energy-efficiency building retrofit planning for green building compliance

Fan, Yuling; Xia, Xiaohua

doi:10.1016/j.buildenv.2018.03.044

Cited by 82 publications

(51 citation statements)

References 42 publications

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“…Here, the optimization is aimed to minimize both the LCC and carbon emission (ACC) due to the energy consumed by the heating and cooling systems in the NZEB. Based on the decision-makers' objectives, the problem addresses two scenarios considering the material price (Tables 1, 2, 3, 4, and 5) and solar panel price (Table 6) that were directed by using data from papers [36,37]. NZEB shape, dimensions, and openings are presented in the plan view (Figure 3).…”

Section: Resultsmentioning

confidence: 99%

“…Constraint (35) of the model requires uniform choices in the NZEB design, i.e. just one type of material, one type of the heating and cooling systems and one type of solar panel can be used for the whole building, constraint (36) shows the limit on the usable area of the roof for solar panel system installation, boundary limits on the decision variables, and constraints (15), (16), (17), (18), (19), (20), (21), (22), (23), (24), (25), (26), (27), (28), (29), (30), 31) and (32) show the penalties for the linearization of the problem model and boundary limits on the decision variables.…”

Section: Linearization Of the Nonlinear Objective Functionsmentioning

confidence: 99%

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A sustainable mathematical model for design of net zero energy buildings

Delavar¹,

Sahebi

2020

Heliyon

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Energy is vital recourse for economic development of today's business. The services demanded of residential and commercial buildings require substantial energy use. Energy consumption in this sector has been growing in total, gradually. As a result the high emission of greenhouse gases is released and, hence, the saving energy with better building management have made a major priority of the energy and environment sectors throughout the world. In this direction, to reduce energy consumption and mitigate environmental impacts in buildings, net-zero energy buildings (NZEB) is a very effective solution. As a result, a multi-objective model is developed to identify the best combination of materials and construction options considering their related costs, energy efficiency, and environmental impacts of buildings, simultaneously. This sustainable model is presented to construct a building considering the construction costs and energy consumption of the design options. To design the NZEB, while minimizing costs and carbon emissions, use has been made of a combination of different types of active/heating and cooling systems and renewable equipment through such high-efficiency, effective, and updated technologies as the solar panel. Finally, the case study of a residential building with two scenarios is used to demonstrate the proposed framework. The results show that, for scenarios1 and 2 respectively using insulation thickness such as (wall, roof, and windows) and renewable equipment have the highest sustainable impact in NEBZ's performance.

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Section: Resultsmentioning

confidence: 99%

Section: Linearization Of the Nonlinear Objective Functionsmentioning

confidence: 99%

A sustainable mathematical model for design of net zero energy buildings

Delavar¹,

Sahebi

2020

Heliyon

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“…GAs' performance has been tested in a myriad of reviews and comparative studies, and the literature overwhelmingly suggests that GAs have been the most popular and robust heuristic approach to MOO problems in the field of building optimisation [3,4,27,62,93,[100][101][102][103][104][105][106]5,[107][108][109][110][111]6,7,15,18,19,22,23]. Its concept, developed by Holland [112] in the 1960s and 1970s, consists in a stochastic population-based search algorithm that generates solutions for optimisation problems, based on the mechanics of natural selection and genetic operators [14,65,69,101,113].…”

Section: Genetic Algorithm In Multi-objective Optimisationmentioning

confidence: 99%

A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency

Costa-Carrapiço

Raslan

González

2020

Energy and Buildings

131

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Most common practices for solving building retrofit problems lack efficiency and overall robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is critical for sustainability and energy performance improvement. This systematic review for the first time provides a large evidence-base to assess the potential of Multi-objective optimisation (MOO) using Genetic algorithm (GA) for supporting the development of retrofitting strategies and its DM process. From 557 screened studies, 57 were reviewed focusing on outcomes, current trends, and the method's potential, challenges, and limitations. Key findings reveal a strong suitability for solving a wide range of building retrofit MOO problems, based on robust outcomes with significant objectives improvement. However, results also indicate that yielding optimal retrofit solutions may require GA-mixed techniques or modified GA, due to time-consuming and effectiveness issues. Heritage buildings, where qualitative objective function definition is particularly challenging, have been little addressed. Further challenges include: lack of standard systematic approach; complex switch between modelling and optimisation environment; high expertise needed to perform MOO and manage software; and lack of confidence in results. While GA-based MOO's robust evaluation for supporting building retrofit and its DM process needs further research, promising potential is shown overall, when complemented with auxiliary techniques.

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“…Therefore, the reduction of building energy consumption is crucial in order to achieve the goals in terms of decarbonization recently established in Paris Agreement. To this scope, several actions are required, such as: building envelope refurbishments [140][141][142], optimization of the HVAC systems [143][144][145][146][147][148][149], utilization of renewable energy sources [150][151][152][153][154][155][156]. This topic was initially marginally investigated during the first SDEWES conferences.…”

Section: Building Efficiencymentioning

confidence: 99%

Recent Advances in the Analysis of Sustainable Energy Systems

et al. 2018

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EU energy policy is more and more promoting a resilient, efficient and sustainable energy system. Several agreements have been signed in the last few months that set ambitious goals in terms of energy efficiency and emission reductions and to reduce the energy consumption in buildings. These actions are expected to fulfill the goals negotiated at the Paris Agreement in 2015. The successful development of this ambitious energy policy needs to be supported by scientific knowledge: a huge effort must be made in order to develop more efficient energy conversion technologies based both on renewables and fossil fuels. Similarly, researchers are also expected to work on the integration of conventional and novel systems, also taking into account the needs for the management of the novel energy systems in terms of energy storage and devices management. Therefore, a multi-disciplinary approach is required in order to achieve these goals. To ensure that the scientists belonging to the different disciplines are aware of the scientific progress in the other research areas, specific Conferences are periodically organized. One of the most popular conferences in this area is the Sustainable Development of Energy, Water and Environment Systems (SDEWES) Series Conference. The 12th Sustainable Development of Energy, Water and Environment Systems Conference was recently held in Dubrovnik, Croatia. The present Special Issue of Energies, specifically dedicated to the 12th SDEWES Conference, is focused on five main fields: energy policy and energy efficiency in smart energy systems, polygeneration and district heating, advanced combustion techniques and fuels, biomass and building efficiency.

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Energy-efficiency building retrofit planning for green building compliance

Cited by 82 publications

References 42 publications

A sustainable mathematical model for design of net zero energy buildings

A sustainable mathematical model for design of net zero energy buildings

A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency

Recent Advances in the Analysis of Sustainable Energy Systems

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