Yohei Yamaguchi 교수

The transitional pathway to carbon neutrality in commercial building stock requires improvement of energy efficiency, use of renewable sources and implementation of non-technological mitigation strategies. However, several methods have been developed to assess the carbon neutrality of commercial building stock but they mainly lack the ability of spatiotemporal quantification of energy demand and decarbonization potential which hinders the evaluation of carbon neutrality at multiple scales. This

The installation of photovoltaic (PV) modules is one of the most effective measures for decarbonizing urban building stock. The considerable potential of the process has been demonstrated using building-integrated PV (BIPV) modules. Earlier studies have provided significant knowledge about the PV potential of buildings, but a detailed investigation of the large-scale installation of BIPV modules on building façades has not been undertaken. In the present study, a model for estimating the hourly

A significant improvement in the building stock energy efficiency is imperative to mitigate climate change. Building stock energy models (BSEMs) that employ reference building models are useful for mitigation analysis. However, most existing BSEMs developed for commercial building stock focus on limited building systems and energy conservation measures, and technology deployments are suggested based on simple vintage-driven scenarios. These approaches are insufficient, particularly for regions w

This article presents a simulation model for application to several commercial sector buildings in a particular area to analyse the impact of changes in buildings and building energy systems on the issue domains of mitigation of global warming and heat island phenomena as well as the planning of urban infrastructures for electricity and water. The impact on these issue domains is evaluated using five indicators: primary energy consumption, carbon dioxide emission, sensible anthropogenic heat rel

This paper proposes a stochastic discrete-event model to predict occupants’ activities at home to be used in community-/urban-scale energy demand modelling. The model is designed to consider interactions among household members and generate consistent behaviour across simulated days and times of day with specific time-dependent characteristics. Routine behaviours undertaken routinely everyday such as working and eating meals are placed on the timeline while considering interactions among househo

This paper presents a cross-analysis of the existing methods for modelling the use of household appliances and aims to provide insights into modelling approaches for researchers and designers. Five factors regarding appliance use modelling that have a significant impact on the modelling performance are defined: consideration of the intra/inter-household variation, consideration of the influence of socio-demographic conditions, time resolution of the data, quantification of model calibration para

For energy modelling of commercial building stock (CBS), several methodologies were developed focusing on technology alternatives and retrofits for climate change mitigation, but they often have limitations to involve a differentiated description of practices and policies across a range of scales and sectors. This paper presents a novel hybrid model by integrating spatial and synthetic modelling approaches to facilitate the concurrent consideration of multiple building-oriented elements. The mod

This paper presents a district energy system simulation model in which the energy flow of a district is modeled as the sum of total energy flow in each building. By using this model, various kinds of energy supply systems can be evaluated taking into account the relationship among performance of energy supply systems, available technologies, and conditions of targeted districts, such as characteristics of energy demand, size and arrangement of buildings. In the last part of this paper, results o

The transformation to net zero-energy (nZE) building stocks involves harvesting of renewable energy, enhancement of building energy efficiency, incorporation of various supply-side options, and advanced energy management. Although several studies have evaluated the feasibility of nZE for residential areas in cold regions, only a few studies have been conducted on dense urban regions in noncold climate. Additionally, the accommodation of such building stock transformation by the current power dis