Integrated Building Energy Design of a Danish Office Building Based on Monte Carlo Simulation Method

Sørensen, Mathias Jesper; Myhre, Sindre H.; Hansen, Kasper K.; Silkjær, Morten H.; Marszal-Pomianowska, Anna; Liu, Li

doi:10.1016/j.egypro.2017.09.646

Cited by 10 publications

(6 citation statements)

References 6 publications

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“…In 2017, Sørensen et al [12] employed Monte Carlo method to simulate energy performance and indoor climate in office buildings. In this sense, thousands of combinations were done with Be15 and BSim software showing a great amount of possible solution to let architects choose between possible options.…”

Section: Introductionmentioning

confidence: 99%

“…Different recent research works employ the Monte Carlo Method as a mathematical tool to relate the energy consumption with a change in various related variables and not each variable separately [13]. In this sense, most of works, like Sorensen et al [12], employs the Monte Carlo Method with the instantaneous energy consumption of buildings to be related to energy consumption, looking for a high precision at the cost of greater data insertion time. At the same time, none of these previous works define the economic effect of each energetic improvement.…”

Section: Introductionmentioning

confidence: 99%

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A New Methodology for Decision-Making in Buildings Energy Optimization

2020

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When designing or retrofitting a building, not too many tools let architects and engineers to define the optimal conditions to reduce energy consumption with the minimal economic investment. This is because different software resources must be employed and an iterative calculation must be done which, most of times, is not possible. The present study aims to define an original methodology that let researchers and architects to select the best option between different possibilities. To reach this objective, Monte Carlo method is employed on the ISO 13790 standard reaching the probability distribution of the energy consumption of each building after each possible modification. From main results, two mathematical models were obtained from a real case study showing the relation between annual energy consumption and economic investment of each different building retrofits. What is more, in disagreement with the expected result, the best retrofit option was not the one with the highest cost and qualities. In conclusion, this methodology can be a useful tool for researchers and professionals to improve their decision-making.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Methodology for Decision-Making in Buildings Energy Optimization

2020

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“…Windows were studied for new buildings and renovations. They concerned glazingto-floor ratios, distribution of the window-to-floor ratio and physical properties of the glazing, and apart from one study [67] they dealt with residential buildings. Due to the current insulation requirements, the importance of a large window area is reduced as the effect on the heating energy is small, and a low U-value is more important than a large window area [68,69].…”

Section: Resultsmentioning

confidence: 99%

Bioclimatic Architecture Strategies in Denmark: A Review of Current and Future Directions

Bugenings

Kamari

2022

Buildings

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Due to climate change, the rise in global temperature causes an increased need for cooling to satisfy occupants’ thermal comfort. Application of architecture passive design strategies, so-called bioclimatic architecture strategies, based on the local climate to forego active cooling measures to decrease the conventional heating need and ensure thermal comfort are, thus, becoming highly relevant and vitally important. In an effort to adapt and promote passive architecture design strategies in the new design or renovation of building projects, this literature review fills the gap by identifying suitable bioclimatic architecture strategies in the Danish setting. The literature review adopts the PRISMA flowchart (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), and the outcome is supplemented by screening 25 actual bioclimatic architecture-based building design projects in Denmark. The study shows that a wide range of passive strategies are being researched and practiced in Denmark, whereby the focus for passive heating strategies lies on solar gains, thermal insulation and thermal mass. Among passive cooling strategies, natural ventilation and solar shading are the main strategies investigated. Based on the analysis, it is expected that the use and research of those measures will continue, whereby the passive cooling measures will be of particular future interest in light of increasing outdoor temperatures.

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“…[19] performed a parametric analysis, evaluating the effect of six behavioral modifications through a dynamic simulation in IDA-ICE [20], such as limiting the set point temperatures of radiators or night ventilation techniques. In [21], one of the most comprehensive studies in this brief review, a stochastic model was implemented coupling energy rating software Be15 (the predecessor of Be18 [22]) and dynamic simulations in BSim [23] with a tool for sensitivity analyses, adopting a Monte Carlo method. This approach allowed us to parametrically compare 10,000 combinations of variables related to building envelope (e.g., walls and windows transmittance and windows surface) or equipment (e.g., photovoltaic, mechanical ventilation rate).…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization of Building Life Cycle Performance. A Housing Renovation Case Study in Northern Europe

Montana¹,

Kanafani

Wittchen

et al. 2020

Sustainability

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While the operational energy use of buildings is often regulated in current energy saving policies, their embodied greenhouse gas emissions still have a considerable mitigation potential. The study aims at developing a multi-objective optimization method for design and renovation of buildings incorporating the operational and embodied energy demands, global warming potential, and costs as objective functions. The optimization method was tested on the renovation of an apartment building in Denmark, mainly focusing envelope improvements as roof and exterior wall insulation and windows. Cellulose insulation has been the predominant result, together with fiber cement or aluminum-based cladding and 2-layered glazing. The annual energy demand has been reduced from 166.4 to a range between 76.5 and 83.7 kWh/(m2 y) in the optimal solutions. The fact that the legal requirements of 70 kWh/(m2 y) are nearly met without building service improvements indicates that energy requirements can be fulfilled without compromising greenhouse gas emissions and cost. Since the method relies on standard national performance reporting tools, the authors believe that this study is a preliminary step towards more cost-efficient and low-carbon building renovations by utilizing multi-optimization techniques.

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Integrated Building Energy Design of a Danish Office Building Based on Monte Carlo Simulation Method

Cited by 10 publications

References 6 publications

A New Methodology for Decision-Making in Buildings Energy Optimization

A New Methodology for Decision-Making in Buildings Energy Optimization

Bioclimatic Architecture Strategies in Denmark: A Review of Current and Future Directions

Multi-Objective Optimization of Building Life Cycle Performance. A Housing Renovation Case Study in Northern Europe

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