Towards ultra-low energy consumption buildings: Implementation path strategy based on practical effects in China

Zhang, Donglin; Ding, Yong; Wang, Yu; Fan, Lingxiao

doi:10.1016/j.esd.2022.08.025

Cited by 21 publications

(3 citation statements)

References 35 publications

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“…As shown in Figure 1, the energy consumption of large public buildings is mainly distributed in heating, ventilation and air conditioning (HVAC), lighting sockets, power equipment and special function equipment. Among them, about 50-60% of the energy is consumed in HVAC, and about 20-30% is for lighting [24]. From the perspective of the whole life cycle, buildings can be counted as the industry with the most significant carbon emission in China [25].…”

Section: Energy Consumption Distribution Of Large Public Buildingsmentioning

confidence: 99%

Energy-Saving Operation Strategy for Hotels Considering the Impact of COVID-19 in the Context of Carbon Neutrality

Xin²,

Zhu

et al. 2022

Sustainability

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With the advent of the post-epidemic era, the energy consumption characteristics of hotels have changed, which has an important impact on urban energy conservation. In order to contribute to the goal of carbon neutrality, this study discusses the energy-saving operation strategy of hotels considering the impact of the COVID-19 epidemic. Based on the energy consumption characteristics of large public buildings, this paper analyzes the energy consumption distribution and operation characteristics of hotel buildings in detail. By collecting energy consumption data from five typical large hotel buildings in a tourist city in southern China from 2018 to 2022, the impact of COVID-19 on hotel energy consumption and hotel business characteristics was discussed in detail. Combined with the economic development characteristic in the post-epidemic era, this paper explores the energy-saving strategies that hotels can adopt in the context of normalized epidemic prevention and control and obtains the optimal path of low-carbon economic operation of hotel buildings. This study reveals the energy consumption characteristics and energy-saving potential of hotel buildings, and provides enlightenment for hotel management and low-carbon development in the post-epidemic era.

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Section: Energy Consumption Distribution Of Large Public Buildingsmentioning

confidence: 99%

Energy-Saving Operation Strategy for Hotels Considering the Impact of COVID-19 in the Context of Carbon Neutrality

Xin²,

Zhu

et al. 2022

Sustainability

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“…Furthermore, during a building's operational phase, carbon emissions account for 70% to 80% of its entire life cycle [1]. Although building energy efficiency has received increasing attention, many countries have introduced the concepts of low-energy buildings, ultra-low-energy buildings, near-zero-energy buildings, and zero-energy buildings [2,3]. It is crucial to control carbon emissions during the building operation stage to achieve the goal of carbon peaking and carbon neutrality.…”

Section: Introductionmentioning

confidence: 99%

Scheme Design and Energy-Saving Optimization of Cold and Heat Energy Supply System for Substation Main Control Building in Cold Area

Wang,

Jin,

Zhang

et al. 2024

Applied Sciences

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In the context of global climate change, the implementation of building energy conservation and carbon reduction, as well as the realization of zero-energy buildings, is a key measure to cope with climate change and resource depletion. A substation is an indispensable building in the process of urbanization construction. However, in existing cold areas, the heating form of substations generally adopts electric heating, which consumes a large amount of energy. This paper optimizes the existing HVAC form of substations through the rational utilization of surrounding environmental resources and puts forward reasonable building energy-saving and carbon-reduction methods. It demonstrates the feasibility of combining solar photovoltaic power generation systems, air source heat pumps, and natural ventilation to optimize energy savings and carbon reduction in the main control building of a substation in a cold area. The computational fluid dynamics (CFD) method is used to demonstrate the feasibility of natural ventilation during the summer and transition seasons. The data indicate that the installation of a solar photovoltaic power generation system results in an average annual power generation of 18.75 MWh. Additionally, using an air source heat pump can save 44.5% of electricity compared to electric heating. When both a solar photovoltaic power generation system and an air source heat pump are used to provide a building with cold and heat sources, the annual emissions of CO2 can be reduced by 4.90 tons compared to a traditional electric heating system.

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“…In the meantime, the incorporation of big data analytics enables the extraction of knowledge from vast databases comprising sensor inputs, weather predictions, and energy use patterns. This research pinpoints patterns, oddities, and opportunities for energy optimization in rural settings (Zhang, Ding, Wang, & Fan, 2022). AI broadens the paradigm by coordinating simulations that simulate the behaviour of rural residents in a variety of scenarios, forecasting energy use, and recommending design modifications for maximum effectiveness (Porteiro et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Hu,

2023

J INFORM SYSTEMS ENG

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The integration of Information Systems (IS), Big Data Analytics (BDA), and Artificial Intelligence (AI) has ushered in a new era of energy-efficient design for rural residences. This study delves into the intricate synergy between technology and sustainability, unveiling the transformative potential of these tools in reshaping rural living spaces. The exploration spans from the conceptualization of designs to their real-world implementation, highlighting the pivotal role of IS in facilitating collaborative efforts among stakeholders. The study further uncovers the power of Big Data Analytics in deciphering energy consumption patterns, climatic variations, and occupant behaviours. These insights lay the groundwork for AI-powered simulations that optimize energy efficiency while ensuring occupant comfort. The study underscores the consequences of ineffective design, elucidating how it amplifies energy consumption, escalates environmental impact, and compromises residents' quality of life. In contrast, the integration of IS, BDA, and AI results in energy-efficient residences, marked by reduced energy usage, enhanced indoor comfort, and economic savings. Despite challenges such as limited resources, harsh climates, and technical expertise gaps, innovative solutions in the form of training programs, data privacy protocols, and collaborations emerge as beacons of progress. Looking to the future, emerging trends like smart grids, Internet of Things (IoT) integration, and AI-driven predictive maintenance shape the narrative of rural residences design. Rural communities stand poised for self-sufficiency and sustainability, empowered by the fusion of technology and ecological mindfulness. The recommendations presented in this study offer actionable insights for construction professionals, policymakers, and researchers, emphasizing interdisciplinary collaboration, continuous monitoring, and ongoing training. Future directions include greater investigation of new trends in sustainability, smart grids, and predictive maintenance, which will help rural communities become self-sufficient and environmentally conscientious.

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Towards ultra-low energy consumption buildings: Implementation path strategy based on practical effects in China

Cited by 21 publications

References 35 publications

Energy-Saving Operation Strategy for Hotels Considering the Impact of COVID-19 in the Context of Carbon Neutrality

Energy-Saving Operation Strategy for Hotels Considering the Impact of COVID-19 in the Context of Carbon Neutrality

Scheme Design and Energy-Saving Optimization of Cold and Heat Energy Supply System for Substation Main Control Building in Cold Area

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

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