Assessment and optimisation of energy consumption in building communities using an innovative co-simulation tool

Cucca, Giorgio; Ianakiev, Anton

doi:10.1016/j.jobe.2020.101681

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…A co-simulation tool was reported to couple the energy system model by Dymola-Modelica and the building model by EnergyPlus. It aimed to investigate the optimal control of a HAVC system with thermal comfort and minimum energy consumption [20]. Another co-simulation method is built between EnergyPlus Functional Mockup Units (FMUs) with the Python environment to investigate the operations of the ground source heat pump.…”

Section: Introductionmentioning

confidence: 99%

Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method

et al. 2021

Energies

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In this study, a collaborative simulation method is proposed to predict dynamic variations of the thermal environment in an air-conditioned room. The room thermal environment was predicted and analyzed by varying the structural and control parameters of the air conditioner considering the dynamic coupling effect. Connections and regularities were established between the applicable parameters and evaluation indices of the thermal environment. The simulation results demonstrated the interactions among the system structural parameters, control parameters, and the thermal environment. Within a certain parameter range, the evaporator structure exhibited a significant effect on temperature uniformity and vertical air temperature difference, followed by predicted mean vote (PMV) and draught rate (DR). The associated evaluation indices were sensitive to fin spacing, tube spacing, and tube outer diameter, in the same order, which were structural parameters of the evaporator. The effect of the air supply angle on the vertical air temperature difference was evident; however, its influence on the PMV, DR, and temperature uniformity did not indicate consistent variations.

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Section: Introductionmentioning

confidence: 99%

Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method

et al. 2021

Energies

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“…In Ascione et al (2021), a GIS tool is coupled with SketchUp to generate geometrical models of the buildings, then DesignBuilder is used for the thermophysical definition of the building envelopes, then EnergyPlus is used to perform the simulations, and lastly Matlab is used to process the results. Also, in Cucca and Ianakiev (2020) a simulation tool coupling EnergyPlus (to model the buildings) and Dymola-Modelica (to model the energy systems) was developed, which allowed them to model a cluster of homes so as to develop different control strategies to reduce the energy consumption from the grid.…”

Section: Software Tools For Large-scale Building Assessmentsmentioning

confidence: 99%

Building geometry data from online maps for accurate thermal simulations of districts

2023

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Current approaches for simulating the energy performance of buildings on a large scale are limited by numerous assumptions and simplifications, which can lead to inaccurate estimations. While new tools and procedures are emerging to improve accuracy, there remains a need for more user-friendly methods. This study proposes a new tool based on online maps to create the geometry of districts in a simple way. The tool also enables an automatic evaluation of all buildings through dynamic hourly simulations, using a building simulation software and allowing to consider different weather conditions. To illustrate the procedure, a district at risk of energy poverty in Seville (Spain) is modeled, where hourly temperature data for a whole year are available to demonstrate the need for building improvements. The tool is used to evaluate the energy demands of the district under several retrofitting alternatives, and free-floating simulations are also performed to evaluate the improvement of thermal comfort without air-conditioning systems. The aim is not to discuss the actual values for this particular case, but rather to identify the correct direction for large-scale studies, so as to make them more easily conducted. Overall, it may be concluded that the results provided by comprehensive tools, such as the one proposed in this study, enable easy yet accurate evaluations of buildings on a large scale with significant time savings, as well as the identification of locations where retrofitting interventions would have the greatest impact.

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“…By using simulation software, the comprehensive energy performance integrating all kinds of energy systems could be simulated to show the energysaving potential after retrofitting. Building energy simulations have been demonstrated to be efficient tools throughout a building's lifecycle to analyze the energy performance in complex scenarios [45][46][47]. By constructing a "typical office building", the researchers characterized the general office in terms of its space, form and thermal properties, which helps to guide energy-efficient design for this type of building.…”

Section: Typical Physical Model Of Large Office Buildings In Beijing ...mentioning

confidence: 99%

Sustainable Buildings’ Energy-Efficient Retrofitting: A Study of Large Office Buildings in Beijing

et al. 2022

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Energy-efficient retrofitting has emerged as a primary strategy for reducing the energy consumption of buildings. Buildings in China account for about 40% of total national energy consumption. Large office buildings account for the most. Less than 5% of the building area of existing office buildings is energy efficient. Energy-efficient retrofitting for sustainable buildings is a complicated system that involves various sustainable dimensions and operational technical schemes. Making multi-criteria decisions becomes a challenging problem for stakeholders. Based on the theory of sustainability, this paper establishes a sustainable analysis framework to guide stakeholders to select an optimal technical combination of energy-efficient retrofit measures for large office buildings. Based on empirical data collected in Beijing, a number of energy efficiency measures are selected, tailored and applied to a virtual model of a typical large office building. Technical features and the energy performance are simulated accordingly. The energy consumption, energy-saving ratio and lifecycle costs are derived to identify the optimal configuration. The outcome of this research offers a feasible technical plan for stakeholders relating to technical design and design making. The study finds that an LED lighting system and frequency conversion device for the cooling water chiller cannot only sufficiently reduce the building’s energy consumption but also perform economically. Different thermal insulation materials for reconstructing the building envelope have no obvious effect on the thermal performance in comprehensive simulations of technology combinations. The sustainable analysis framework offers theoretical and practical support and can be used as a reference for the other types of buildings in future research.

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Assessment and optimisation of energy consumption in building communities using an innovative co-simulation tool

Cited by 12 publications

References 14 publications

Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method

Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method

Building geometry data from online maps for accurate thermal simulations of districts

Sustainable Buildings’ Energy-Efficient Retrofitting: A Study of Large Office Buildings in Beijing

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