Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks

Yamaguchi, Yohei; Kim, Bumjoon J.; Kitamura, Toshio; Akizawa, Kotone; Chen, Hemiao; Shimoda, Yoshiyuki

doi:10.1016/j.apenergy.2021.117907

Cited by 26 publications

(11 citation statements)

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“…While new constructions inherently possess the advantage of optimizing CO2 savings from inception, Retrofit Strategies stand as the compelling pathway for enhancing the environmental performance of existing buildings. Scholarly references, including seminal works by Nishimwe et al (2021), Yamaguchi et al (2022, and Hirvonen et al (2021), document remarkable energy savings of 66%, 50%, and 75%, respectively. However, prevalent tools for building evaluation inadequately account for paramount socio-economic and environmental implications, often termed "secondary" or Non-Energy Benefits (Smith, 2018).…”

Section: Justificationmentioning

confidence: 99%

A value-based framework from Building Stock Model to Retrofit Model

Flores

2024

ESSD

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The study has as its original database the decarbonization process initiated in Mexico by the National Commission for the Efficient Use of Energy (CONUEE) as part of its “Savings Program of Electric Power in Buildings of the Federal Public Administration” (PAEIAPF) of 1999. The primary purpose of PAEIAPF was to reduce the levels of electric power consumption in Federal Government buildings. The program has operated for 20 years; however, its scope only reaches operational carbon. Since 90% of existing buildings will be in use by 2050, the Retrofit Models will be the base to determine solutions for a more resilient living environment that fortifies and extends the grid’s capacity and meets climate change mitigation targets. Secondly, significant socioeconomic and profound environmental impacts are not calculated explicitly in existing tools and are often referred to as “secondary” or Non-Energy Benefits (NEB). “The goal is to give them a measurement value to be considered in the decision-making calculus. It is assumed that soon; such factors will enter the general climate change economy, not unlike carbon in the past decade.” In this context, the proposed research aims to develop a value-based framework that will support a Building Stock Model and subsequent Retrofit Models, documented in a web-tool platform. The framework has three main steps:A) Building Stock Model: Mapping of selected buildings of the program PAEIAPF in a GIS system. Documentation of the baseline energy consumption and embodied CO2-eq of the existing building.B) Retrofit Models: Involving a Whole Life Cycle Assessment (WLCA) and Non-Energy Benefits (resilience coefficient, health, productivity).C) Web Tool Platform: Application and toolset that allows for consistent documentation, environmental impact evaluation of existing building stock, and solution design in identifying energy reduction concepts.

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Section: Justificationmentioning

confidence: 99%

A value-based framework from Building Stock Model to Retrofit Model

Flores

2024

ESSD

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“…More detailed data information models can be obtained through calculation or statistics [10]. The foreign information management model is often not suitable for China's construction industry, so its practicability is not strong and its scope of application is limited [11]. At the same time, many information management models independently developed by our country often have low requirements for the effectiveness of information management, so they can't be applied to the changeable internal environment in enterprise management.…”

Section: Overview Of Construction Informationmentioning

confidence: 99%

Performance diagnosis and optimization of building system based on building information model

Wen

2023

Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022)

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With the progress of science, China's construction industry has gradually started information management. In the construction industry, the economic expenditure of construction and the management of construction safety are the core issues, which need to be managed with information technology. For construction enterprises, whether they have strong competitiveness in the industry or not, construction management plays a very important and decisive role. In order to avoid all kinds of drawbacks of traditional manual management and break the limitations of manual management, construction enterprises need to establish and use an information management optimization model. The method adopted in this paper is the building information model, which makes the whole building process visible by using big data, makes the components present in three-dimensional physical graphics, and forms interaction and feedback with the components. Therefore, the communication, discussion and decision-making in the process of project design, construction and operation are all carried out in a visual state. According to the research in this paper, this algorithm is superior to the traditional algorithm and can be widely applied in practice

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“…For example, as the world's two largest carbon emitters, the U.S. and China could reduce 45.4% and 29.7% of the emissions from commercial building operations by 2060 through further implementing building energy efficiency [ 9 ]. In Japan, the commercial building sector could achieve an annual reduction of 43 MtCO 2 in carbon emissions by fully employing available energy-saving measures towards 2030 [ 10 ]. In the Netherlands, through enhancing building insulation and decarbonization of electricity generation, the carbon emissions from space heating in neighbourhoods could be ten times lower between 2030 and 2050 [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Decarbonization potentials of the embodied energy use and operational process in buildings: A review from the life-cycle perspective

Liang,

Li,

Liu

et al. 2023

Heliyon

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Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks

Cited by 26 publications

References 50 publications

A value-based framework from Building Stock Model to Retrofit Model

A value-based framework from Building Stock Model to Retrofit Model

Performance diagnosis and optimization of building system based on building information model

Decarbonization potentials of the embodied energy use and operational process in buildings: A review from the life-cycle perspective

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