☆ 4.7 Article

Improving the capabilities of the Town Energy Balance model with up-to-date building energy simulation algorithms: an application to a set of representative buildings in Paris

ENERGY AND BUILDINGS (2014)

期刊

ENERGY AND BUILDINGS

卷 76, 期 -, 页码 1-14

出版社

ELSEVIER SCIENCE SA

DOI: 10.1016/j.enbuild.2013.10.038

关键词

Urban Climate Model; Building Energy Model

类别

Construction & Building Technology Energy & Fuels Engineering, Civil

资金

French National Research Agency [ANR-09-VILL-003]
Ville Numerique project - Ministere de l'Ecologie, du Developpement durable et de l'Energie
Singapore National Research Foundation through the Singapore-MIT Alliance for Research and Technology (SMART) Centre for Environmental Sensing and Modelling (CENSAM)

向作者/读者索取更多资源

Protocol

Reagent

摘要

Buildings' energy systems release heat to the atmosphere that contributes to the urban heat island. In return, the energy demand from buildings depends on the meteorological conditions of their surroundings. Consequently, urban canopy models such as Town Energy Budget (TEB) have progressively included the representation of the main processes of building energetics: solar and internal heat gains, heat transmission through the enclosure and the heat exchange by infiltration and ventilation. The objective of this study is to extend the evaluation of the Building Energy Model (BEM) implemented in TEB. Five buildings representative of the morphological and thermal characteristics that can be encountered in European urban areas have been selected. The evaluation has been conducted with EnergyPlus building energy model and for two contrasted climates. The TEB model is able to estimate the heating and the cooling energy demand with an accuracy better than 5 kWh/m(2)/year for heating and 3 kWh/m(2)/year for cooling. This paper also discusses on the importance of computing the building's surrounding surface temperature for energy demand calculations. TEB is able to account for this effect whereas EnergyPlus assumes that building surroundings are at air temperature. (C) 2014 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者

点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7

评分不足

次要评分

新颖性

-

重要性

-

科学严谨性

-

评价这篇论文

推荐

Review Construction & Building Technology

Modelling building energy use at urban scale: A review on their account for the urban environment

Cyrus Ho Hin Wong, Meng Cai, Chao Ren, Ying Huang, Cuiping Liao, Shi Yin

Summary: This paper reviews and compares major methods for simulating building energy use at the urban scale, highlighting differences in strengths, limitations, and applications. It suggests that future development in urban-scale building energy use should explore ways to incorporate spatial variation in weather and morphological conditions, especially in dense urban settings facing greater environmental challenges.

BUILDING AND ENVIRONMENT (2021)

添加到收藏夹

Article Construction & Building Technology

Urban building energy model: Database development, validation, and application for commercial building stock

Rezvan Mohammadiziazi, Samuel Copeland, Melissa M. Bilec

Summary: The study proposes a structure using commercial buildings to improve reproducibility of urban building energy models and introduces an innovative framework for facade reconstruction through photogrammetry and image processing. Twenty archetypes were identified in commercial buildings of different use types, showing discrepancies in energy use among buildings with similar use types.

ENERGY AND BUILDINGS (2021)

添加到收藏夹

Article Thermodynamics

Using urban building energy modeling to quantify the energy performance of residential buildings under climate change

Zhang Deng, Kavan Javanroodi, Vahid M. M. Nik, Yixing Chen

Summary: The building sector faces challenges in achieving carbon neutrality due to climate change and urbanization. Urban building energy modeling (UBEM) is an effective method to understand building energy use at the urban scale and evaluate retrofit scenarios against future weather variations, supporting carbon emission reduction policies. This study integrates future weather data with a UBEM approach to assess the impacts of climate change on urban energy performance.

BUILDING SIMULATION (2023)

添加到收藏夹

Article Construction & Building Technology

Italian prototype building models for urban scale building performance simulation

Laura Carnieletto, Martina Ferrando, Lorenzo Teso, Kaiyu Sun, Wanni Zhang, Francesco Causone, Piercarlo Romagnoni, Angelo Zarrella, Tianzhen Hong

Summary: This study investigated the Italian building stock and developed 46 building prototypes, including residential and office buildings. The contributions of the study include detailed Italian building energy model specifications and a GeoJSON dataset of Italian urban buildings, supporting national building energy efficiency and environmental goals.

BUILDING AND ENVIRONMENT (2021)

添加到收藏夹

Article Energy & Fuels

How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling

Brett Bass, Joshua New, Nicholas Clinton, Mark Adams, Bill Copeland, Charles Amoo

Summary: Residential and commercial buildings in the United States account for a significant portion of energy consumption. Building energy modeling and urban building energy modeling are useful tools for optimizing energy efficiency. However, there is a knowledge gap in comparing these models to actual measured data. This study used national-scale data and AutoBEM software to model buildings in Chattanooga, Tennessee, and found that building type and year of construction are major sources of bias.

APPLIED ENERGY (2022)

添加到收藏夹

Article Construction & Building Technology

Educational building retrofit under climate change and urban heat island effect

Gizem Akkose, Cagla Meral Akgul, Ipek Gursel Dino

Summary: This study investigates the impact of CC&UHI on educational building performance and demonstrates the effectiveness of passive retrofit scenarios targeting CC&UHI mitigation and adaptation.

JOURNAL OF BUILDING ENGINEERING (2021)

添加到收藏夹

Article Green & Sustainable Science & Technology

Scaling in urban building energy use and its influencing factors

Chunyan Wang, Hanying Jiang, Hao Wu, Yi Liu, Siyue Guo, Ming Xu

Summary: This study examines the scaling relationships between energy consumption and building size at the building level in 16 urban regions in the United States from 2011 to 2019. The findings indicate that the scaling exponents are evolving towards linear scaling, with some fluctuations observed in certain cities. These scaling exponents are negatively correlated with regional climate. Additionally, the study highlights the importance of building types and energy structures in influencing building energy consumption.

JOURNAL OF INDUSTRIAL ECOLOGY (2023)

添加到收藏夹

Article Thermodynamics

Developing a new data-driven LCA tool at the urban scale: The case of the energy performance of the building sector

Jacopo Famiglietti, Hashem Amini Toosi, Alice Denarie, Mario Motta

Summary: This study presents a new tool that utilizes a data-driven approach to conduct an extensive environmental evaluation of buildings in the city of Milan. The results reveal that space heating service is the primary contributor to climate change impact. The tool's novelty lies in its expansion of the life cycle assessment method at the urban scale and its potential use in establishing environmental benchmarks for building policies and energy requalification initiatives.

ENERGY CONVERSION AND MANAGEMENT (2022)

添加到收藏夹

Article Construction & Building Technology

Urban building energy prediction at neighborhood scale

Wei Wang, Qi Lin, Jiayu Chen, Xiangfeng Li, Yiqiao Sun, Xiaodong Xu

Summary: Urban building energy model is a focus of recent research, with challenges like data requirements and inter-building effects. Five data-driven models were tested on various scales, with different algorithms and dataset sizes influencing energy prediction results. Integration of building networks and morphology improved prediction accuracy, showing potential for reducing data requirements in urban energy models.

ENERGY AND BUILDINGS (2021)

添加到收藏夹

Article Environmental Sciences

Earth Observation Data Exploitation in Urban Surface Modelling: The Urban Energy Balance Response to a Suburban Park Development

Dimitris Tsirantonakis, Nektarios Chrysoulakis

Summary: The sustainable development of cities is crucial for the well-being and safety of urban populations, and evaluating the impact of urban planning interventions is important. In this study, Earth Observation data was used to systematically assess the effect of a suburban park development on urban surface energy balance, and it was found that the planned intervention contributed to the development of the urban heat island.

REMOTE SENSING (2022)

添加到收藏夹

Article Engineering, Environmental

Estimating spatial and temporal patterns of urban building anthropogenic heat using a bottom-up city building heat emission model

Wei Chen, Yuyu Zhou, Yanhua Xie, Gang Chen, Ke Jack Ding, Dan Li

Summary: The study developed a bottom-up city building heat emission model to investigate temporal variations of building anthropogenic heat in all buildings in Boston.

RESOURCES CONSERVATION AND RECYCLING (2022)

添加到收藏夹

Article Construction & Building Technology

Hybrid approach to representative building archetypes development for urban models-A case study in Andorra

Patricia Borges, Oriol Travesset-Baro, Anna Pages-Ramon

Summary: The development of building archetypes has been a major focus in research for the past decades, and it is considered a challenge and a source of inaccuracies in Urban Buildings Energy Models (UBEM). This paper presents a hybrid approach to identify representative building archetypes, combining deterministic and data-driven clustering methods, and the results show that both approaches complement each other.

BUILDING AND ENVIRONMENT (2022)

添加到收藏夹

Article Environmental Sciences

Urban microclimate and its impact on building performance: A case study of San Francisco

Tianzhen Hong, Yujie Xu, Kaiyu Sun, Wanni Zhang, Xuan Luo, Barry Hooper

Summary: This study utilized 10-year measured hourly weather data from 27 sites in San Francisco to analyze urban microclimate patterns and the urban heat island effect. The results showed significant impacts on building performance and climate resilience, with up to 11 degrees C temperature difference between coastal and downtown areas during a heatwave. The study also highlighted the importance of considering microclimate variations in urban energy planning and building standards.

URBAN CLIMATE (2021)

添加到收藏夹

Article Construction & Building Technology

Building energy demand of urban blocks in Xi'an, China: Impacts of high-rises and vertical meteorological pattern

Juejun Ge, Yupeng Wang, Dian Zhou, Zhaolin Gu, Xiangzhao Meng

Summary: This study observed the vertical meteorological pattern (VMP) in urban areas of Xi'an, China, and predicted the impacts of VMP on the heating and cooling energy demands of different urban blocks using a building energy simulation model. The results showed that VMP significantly affected the energy demands of buildings and the relationship between urban block form and energy demand.

BUILDING AND ENVIRONMENT (2023)

添加到收藏夹

Article Construction & Building Technology

Validation of a building energy model of a hydroponic container farm and its application in urban design

Mariana Liebman-Pelaez, Johnathan Kongoletos, Leslie K. Norford, Christoph Reinhart

Summary: Plant factories have emerged in urban areas to increase local food production, create job opportunities, and provide environmentally friendly alternatives to traditional agriculture. Container farms, a type of plant factory system, use artificial lighting and hydroponic farming practices to support crop production in urban settings regardless of climate conditions. By validating an EnergyPlus model of a hydroponic container farm in Boston, stakeholders can reliably predict energy usage and optimize the environmental performance of container farms.

ENERGY AND BUILDINGS (2021)

添加到收藏夹

暂无数据

Article Construction & Building Technology

Cool roof strategies for urban thermal resilience to extreme heatwaves in tropical cities

Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi

Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Estimating omnidirectional urban vertical wind speed with direction-dependent building morphologies

Qi Li, Jiayu Chen, Xiaowei Luo

Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Towards a blockchain and machine learning-based framework for decentralised energy management

Xiaojun Luo, Lamine Mahdjoubi

Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Dual-layer optimization design method for collaborative benefits of renewable energy systems in building clusters: Case study of campus buildings

Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang

Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties

Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer

Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Comprehensive assessment of double skin façades: A mathematical model for evaluating influence of KL ratio on electrical and thermal performances, and indoor conditions

Somil Yadav, Caroline Hachem-Vermette

Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

Article Construction & Building Technology

Improving building resilience in the face of future climate uncertainty: A comprehensive framework for enhancing building life cycle performance

Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao

Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.

ENERGY AND BUILDINGS (2024)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.