An Assessment of Building Energy Consumption Characteristics Using Analytical Energy and Carbon Footprint Assessment Model

Usman, Abdullahi Mohammed; Abdullah, Kamil

doi:10.47852/bonviewglce3202545

Cited by 31 publications

(13 citation statements)

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“…For urban construction, its core is land use. The impact of land use on urban public health includes both diversity and density ( 18 – 20 ). Diversity is mainly measured through two indicators: land use mixing degree and pollution exposure degree.…”

Section: A Community Environmental Assessment System Guided By Enviro...mentioning

confidence: 99%

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives

Chen,

She,

Zeng

et al. 2024

Front. Public Health

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As population density increases, environmental hygiene and public health become increasingly severe. As the space where residents stay for the longest time and have the most profound impact on their physical and mental health, the quality of the environment in urban communities largely determines the degree to which residents engage in physical activity, bear the risk of pollution exposure, and obtain healthy food. Therefore, in order to ensure the physical and mental health of residents, this study proposes community planning guided by environmental hygiene and public health, and establishes an environmental health assessment system for this purpose. This system evaluates the community environment from four aspects: land use, service facilities, site convenience, and environmental quality. Established the diversity, density, road network connectivity and facilities accessibility nine criteria, as well as the land function of mix, plot ratio, food environment, network ring α and connected β index, pavement risk level, green configuration and neighborhood material environment disorder degree of 27 indicators of community built environmental evaluation index system. The data is collected through field survey, questionnaire distribution, resident interview and data mapping, and the established evaluation index system is used to evaluate the construction environment of the community. The experimental research data included population data, CAD plan, land use data, street data, POI point data, building data and bus station data, etc. 273 questionnaires were distributed, 264 were recovered, 8 invalid questionnaires were removed, and 256 valid questionnaires were obtained. These experiments confirm that land use, service facilities, site convenience, and environmental quality have a significant impact on the built environment of communities, with impact weights of 0.513, 0.227, 0.135, and 0.125, respectively. The above weights are calculated based on the index judgment matrix and the eigenvectors. The scores of land use, service facilities, site convenience, and environmental quality for the study subjects were 3.44, 1.46, 0.94, and 0.51, respectively, among them, the land use score is less than 3.85, the 1 service facility score is less than 1.71, the site convenience score is less than 1.01, and the environmental quality score is less than 0.94; indicating that the community has serious problems such as single land use types, pollution exposure, and difficulty in obtaining healthy food. Therefore, community planning and transformation based on land use, service facilities, venue convenience, and environmental quality can effectively improve the physical and mental health of residents. In the specific community transformation plan, artificial intelligence and data-driven methods can be used to optimize the land use plan, service facility configuration, site convenience transformation and environmental quality improvement, so as to formulate the optimal community transformation plan and improve the comfort and happiness of community residents. In the future, on the basis of the existing research, the selection of community types will be further enriched and the research cases will be expanded. And through the in-depth practical study of the case, the constructed evaluation index system is optimized and improved to make it more scientific. At the same time, as urban renewal and design have entered the era of stock planning, based on the more perfect evaluation index system, more specific and detailed system discussion of the built communities with public health problems, in order to provide more detailed services for the construction of a better and healthy living environment in the future.

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Section: A Community Environmental Assessment System Guided By Enviro...mentioning

confidence: 99%

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives

Chen,

She,

Zeng

et al. 2024

Front. Public Health

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“…If the distance between the two is less than s R , , 1 j k G = indicates that the sensor j s can cover the target point k p . In the case of randomly distributed sensors, more than one sensor node v can monitor or detect this target point k p , and it may be multiple sensor nodes covering or detecting this target point together, as shown in equation (2).…”

Section: B Design Of Node Coverage Model For Energy Efficient Sensor ...mentioning

confidence: 99%

“…Wireless sensor networks play an increasingly important role in environmental monitoring, smart city construction, disaster early warning and other fields. However, these networks are usually limited by the energy consumption and coverage of sensor nodes [2]. Traditional WSN design focuses on improving network coverage and transmission efficiency, but often ignores energy efficiency issues, which results in limited sustainable operation time of the network, especially in resource-constrained or difficult-toreach environments.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network (WSN) Model Targeting Energy Efficient Wireless Sensor Networks Node Coverage

Jia,

Zhang

2024

IEEE Access

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With the rise of the Internet of Things, the application fields of wireless sensor networks (WSN) continue to expand. From agriculture to urban infrastructure monitoring, application requirements in various fields are increasing. The research focuses on designing and improving energy-efficient coverage methods for wireless sensor network nodes, with the goal of improving energy efficiency and data transmission reliability. Through detailed research and analysis of hierarchical and flat routing protocols, the article explores how to ensure that each monitoring point is covered by at least one sensor node by designing an energy-saving sensor network node coverage model. At the same time, the study explores an energy-efficient coverage method based on the improved gray wolf algorithm, aiming to optimize the deployment of sensor nodes and enhance the effectiveness of node coverage. Research results show that the algorithm performs significantly in network coverage optimization and achieves 100% coverage of monitoring target points. Under the 30-dimensional condition, the improved gray wolf algorithm shows excellent average performance and the smallest standard deviation. When the number of nodes is 40, compared with other algorithms, the improved gray wolf algorithm improves the coverage rate by 5.08% and achieves 100% coverage performance in a more energy-saving manner. Research on the exploration of energy-saving wireless sensor network models will help to better meet the needs of future intelligent monitoring and control, improve resource utilization efficiency, reduce maintenance costs, and promote the sustainable development of wireless sensor networks.

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“…C I NV refers to the cost during the planned construction period. For the operating conditions of the distribution network, referring to the DistFlow power flow formula, a simplified DistFlow power flow equation is obtained by removing the secondorder term [26,27]. The active power P ij,s,h flowing from the starting node i to the end node j through line ij is shown in Equation (10).…”

Section: Design Of Adn Network Planning Model For Ess Energy Storage ...mentioning

confidence: 99%

Energy Storage Dynamic Configuration of Active Distribution Networks—Joint Planning of Grid Structures

Luo,

Tian,

Yan

et al. 2023

Processes

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The integration of distributed power generation mainly consisting of photovoltaic and wind power into active distribution networks can lead to safety accidents in grid operation. At the same time, climate change can also cause voltage fluctuations, direct current injection, harmonic pollution, frequency fluctuations, and other issues. To achieve economic and safe operation of the distribution network, an active distribution network-network planning model considering the dynamic configuration of energy storage system energy storage is constructed. This model focuses on energy storage batteries with high ease of use, high modularity, and strong mobility. The route location planning involving different load operating scenarios in spring, summer, autumn, and winter is constructed. The objective function includes the revenue from selling electricity in the distribution network, the expenditure on purchasing electricity in the distribution network, and the cost during the planned construction period. The constraints include three major constraints: distribution network operation, network topology, and energy storage system operation. Three numerical examples are set up to analyze the impact of energy storage system dynamic configuration on grid planning. The results confirmed the active distribution network-grid planning model for dynamic configuration of energy storage systems. Both Example 2 and Example 3 had 3 ESS configurations. Case 3 showed different access methods for ESS in different seasons. The access nodes for ESS in spring and winter were 4, 5, and 6, while the access nodes for summer and autumn were 3, 5, and 6. After applying the proposed method, the daily energy storage investment of commercial, residential, and industrial users gradually stabilized. The reliability of electricity consumption was improved, with an improvement rate of about 40%. The research has brought considerable economic benefits to distribution network operators. It has forward-looking academic value in the joint planning of grid structures and energy storage.

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An Assessment of Building Energy Consumption Characteristics Using Analytical Energy and Carbon Footprint Assessment Model

Cited by 31 publications

References 0 publications

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives

Optimization strategy of community planning for environmental health and public health in smart city under multi-objectives

Wireless Sensor Network (WSN) Model Targeting Energy Efficient Wireless Sensor Networks Node Coverage

Energy Storage Dynamic Configuration of Active Distribution Networks—Joint Planning of Grid Structures

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