Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis

Prataviera, Enrico; Vivian, Jacopo; Lombardo, Giulia; Zarrella, Angelo

doi:10.1016/j.apenergy.2022.118691

Cited by 43 publications

(14 citation statements)

References 67 publications

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“…The methods presented in the literature operate, as a rule, with the tools of correlation and regression analysis. 20 To find the optimal solution under the conditions of market uncertainty and to apply the optimization methods correctly, a more complex mathematical model is needed.…”

Section: Methodsmentioning

confidence: 99%

Sustainable development of smart cities and smart territories based on the model of minimizing externalities

et al. 2022

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The development of conceptual models of a digital city poses numerous challenges for developers. The public sector concept model has become one of the most difficult models to use. When developing algorithms to find a solution, the multidirectional interests of businesses and public institutions are combined. This type of model reflects the most acute and urgent problems faced by megapolises with regard to combining numerous localized services provided to the community in a limited territory. The administrations of both cities and regions (the scale of the smart territories) must make decisions concerning overcoming the barriers existing between the profits of commercial structures, the negative externalities generated by their activities, and the social benefits to the population in the territory under their control. It is necessary to solve this problem to achieve the effective management of enterprises belonging to the segment of long-term participants in various business activities, interacting with the surrounding social and business environment in a complex. This study takes into account the complex structures of the economic processes characteristic of megacities. The periodicity of economic processes is also taken into account. When choosing an optimization criterion, functions reflecting the level of internalization of responsibility for external effects were considered. The authors propose a mathematical model that can be used as part of the management decision support systems software, aiming at taking into account the externalities of a wide range of national, institutional, business, and social activities.

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Section: Methodsmentioning

confidence: 99%

Sustainable development of smart cities and smart territories based on the model of minimizing externalities

et al. 2022

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“…Most of the time it can not be carried out. [87,92]. However, additional data and Bayesian calibration can be used to reduce the uncertainty in the predicted parameter values in UBEMs [89].…”

Section: Uncertainty and Calibrationmentioning

confidence: 99%

A comprehensive survey of the urban building energy modeling (UBEM) process and approaches

Yakut

ESEN

2023

International Journal of Energy Studies

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Fossil fuels increase the emission values of greenhouse gases such as CO2 in the atmosphere and cause global warming and climate change. At the same time, fossil fuel reserves are facing depletion in the near future, and energy supply also has an important dimension such as national security and foreign dependency. All these show that turning to renewable energy sources and developing solutions and policies for energy saving has become a necessity both globally and locally. For such reasons, modeling of urban structures, which have a great contribution to energy consumption, and simulating the energy demand on an urban scale are of great importance for the effective use of energy. Research on this has shown that UBEM (Urban Building Energy Modeling) is an effective solution to these problems. However, UBEM contains different technical problems for implementation. Due to its versatility, various concepts related to this field lead to complexity. With this increasing complexity, there is a growing need to compile concepts from a holistic perspective. In this study, it is aimed to create a solution to these challenges. For this purpose, a comprehensive and up-to-date research of various modeling approaches and model creation process used in urban building energy modeling has been conducted. Studies on these approaches are summarized and a systematic review of the literature is made. At the same time, the study is in the nature of guiding and forming the general knowledge level with the basic concepts that should be known to those who will work on UBEM.

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“…Many studies have shown that improved building envelopes with highly energy-efficient materials have the potential to decrease building energy consumption by reducing heat transmittance through the building skin [19]. As a result, the cooling loads and air conditioning energy consumption were reduced [20]. The main factor for material thermal properties is thermal conductivity, which has a direct correlation with efficiency in building envelopes [21].…”

Section: Introductionmentioning

confidence: 99%

A Study on Transparent Type Envelope Material in Terms of Overall Thermal Transfer, Energy, and Economy for an Office Building Based on the Thai Building Energy Code

et al. 2023

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Energy consumption in buildings has increased significantly as population and economic activities are concentrated in urban areas. Air conditioning accounts for a significant percentage of energy consumption in buildings, especially in tropical climates. The main area where heat can be transferred into the building is through glass windows. Thus, this study aims to evaluate feasibility in terms of overall thermal transfer value (OTTV), energy, and economics for retrofitting different glass materials in an office building in Thailand by using building energy code (BEC) software. The software uses Thailand’s building energy code as the standard to evaluate the energy performance of the case study building in comparison with different glass types used in retrofitted cases. From an economic perspective, the internal rate of return (IRR) and discounted payback periods (DPP) were used as determining indexes. The results demonstrated that retrofitted windows with the best energy-efficient glass might achieve energy performance, but installation cost can reduce economic feasibility, while the glass with the second lowest heat transfer coefficient can reduce the OTTV by 68.89% and building energy consumption by 16.87%. However, it can achieve the highest economic performance with 10.70% IRR and DPP at 11.83 years. Therefore, the balance between energy and economic factors must be considered to provide energy-efficient and investment-friendly glass materials for retrofit projects. In addition, the study focuses specifically on tropical climates. Thus, the finding may not be reflected similarly for buildings located in different regions.

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Evaluation of the impact of input uncertainty on urban building energy simulations using uncertainty and sensitivity analysis

Cited by 43 publications

References 67 publications

Sustainable development of smart cities and smart territories based on the model of minimizing externalities

Sustainable development of smart cities and smart territories based on the model of minimizing externalities

A comprehensive survey of the urban building energy modeling (UBEM) process and approaches

A Study on Transparent Type Envelope Material in Terms of Overall Thermal Transfer, Energy, and Economy for an Office Building Based on the Thai Building Energy Code

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