A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China

Li, Yanxia; Wang, Chao; Zhu, Sijie; Yang, Junyan; Wei, Shen; Zhang, Xinkai; Shi, Xing

doi:10.3390/en13184781

Cited by 13 publications

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“…First, due to cost-effective constraints, the types of plants suitable for vertical farming are limited. Leafy greens with high water content rather than crops high in carbohydrates are much more suitable plant species for VF since they grow much faster and consume fewer resources such as electricity and water [13,14]. Second, VF may bring about certain favorable or unfavorable effects on the indoor environment.…”

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confidence: 99%

Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation

et al. 2022

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Vertical farming is a new branch of urban agriculture using indoor vertical space and soil-less cultivation technology to obtain agricultural products. Despite its many advantages over traditional farming, it still faces some challenges and obstacles, including high energy consumption and costs, as well as uncertainty and a lack of social acceptance. This study aims to investigate the influence of public acceptance on micro-vertical farming based on the deconstructed theory of planned behavior model. This model is adopted for statistical analysis to reveal the factors and their weights in influencing people’s behavioral intentions. The results indicate that the overall mean of the public’s behavioral intentions to use vertical farming is 3.9, which is above neutral (M = 3.00) but less than positive (M = 4.00). Differences in age, education level, and the living area of the public have significantly impacted behavioral intentions. Meanwhile, the statistical results support the hypotheses concerning the behavioral attitudes, subjective norms, and perceived behavioral control of the model, and also demonstrate that their decomposed belief structures considerably influence the public’s behavioral intentions to use vertical farming. Notably, perceived usefulness is the most critical driving factor in planting using vertical farming. The findings of this study contribute to better predictions of the effects of different elements of behavioral intention on vertical farming at the urban scale, which may provide a basis for decision making in the development of sustainable urban agriculture.

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confidence: 99%

Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation

et al. 2022

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“…In the published publication [1], there was an error regarding the affiliations for Xing Shi. In addition to the affiliations: The authors state that the scientific conclusions are unaffected.…”

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confidence: 99%

Correction: Li et al. A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China. Energies 2020, 13, 4781

et al. 2023

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“…Moreover, city-scale building energy simulation reveals a duo of challenges: Firstly, the endeavor necessitates substantial computational resources and computing time [30]. Secondly, the execution of urban energy simulations frequently entails juggling multiple software packages and necessitates cross-platform operations [31]. References [30,31] Aiming to obtain effective city-level carbon reduction goals and policies, this specific case study of Changsha City needs to overcome the difficulties of collecting and processing city-scale data, which is the most fundamental difference from the simulation of individual buildings.…”

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confidence: 99%

Retrofit Analysis of City-Scale Residential Buildings in the Hot Summer and Cold Winter Climate Zone

Ji,

Li,

et al. 2023

Energies

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The rising energy consumption in residential buildings within the hot summer and cold winter (HSCW) climate zone, driven by occupants’ pursuit of improved thermal comfort, necessitates effective energy conservation measures. This study established urban building energy models for 32,145 residential buildings in Changsha City, China, and conducted a comprehensive retrofit analysis of seven energy conservation measures (ECMs). Additionally, the study assessed the impact of residents’ conscious energy-saving behaviors concerning air conditioner (AC) control. The research commenced by creating six baseline models representative of the diverse building stock. Identifying seven commonly used ECMs, the study examined the potential of each measure for enhancing energy efficiency. To facilitate the analysis, a dedicated toolkit, AutoBPS-Retrofit, was developed to efficiently modify the baseline model for each ECM. Furthermore, the investigation delved into the investment cost of implementing the ECMs and evaluated their simple payback year (PBP) and net present value (NPV). The results demonstrate that tailored retrofit plans are essential when addressing envelope improvements, varying according to building types and ages. Retrofits targeting lighting systems offer both promising energy savings and favorable economic viability, albeit subject to residents’ preferences. Alternatively, upgrading the AC systems emerges as the most energy-efficient approach, yet the economic assessment raises concerns. The study’s findings offer practical insights for governments seeking to establish effective carbon reduction goals and policies. Moreover, the research can assist energy-saving institutions, real-estate companies, and stakeholders involved in renovation projects by offering guidance in making informed decisions to enhance energy efficiency in city-scale residential buildings.

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A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China

Cited by 13 publications

References 50 publications

Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation

Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation

Correction: Li et al. A Comparison of Various Bottom-Up Urban Energy Simulation Methods Using a Case Study in Hangzhou, China. Energies 2020, 13, 4781

Retrofit Analysis of City-Scale Residential Buildings in the Hot Summer and Cold Winter Climate Zone

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