scholarly journals An Integrated Spatial Analysis Computer Environment for Urban-Building Energy in Cities

2018 ◽  
Vol 10 (11) ◽  
pp. 4235 ◽  
Author(s):  
Yu Sun ◽  
Elisabete Silva ◽  
Wei Tian ◽  
Ruchi Choudhary ◽  
Hong Leng

In this paper, we developed a new integrated analysis environment in order to thoroughly analyses urban-building energy patterns, named IUBEA (integrated urban building energy analysis), which focuses on energy modeling and analysis of a city’s building stock to support district or city-scale efficiency programs. It is argued that cities and towns account for more than two-thirds of world energy consumption. Thus, this paper explores techniques to integrate a spatial analysis environment in the field of urban building energy assessment in cites to make full use of current spatial data relevant to urban-building energy consumption and energy efficiency policies. We illustrate how multi-scale sampling and analysis for energy consumption and simulate the energy-saving scenarios by taking as an example of Greater London. In the final part, is an application of an agent-based model (ABM) in IUBEA regarding behavioral and economic characteristics of building stocks in the context of building energy efficiency. This paper first describes the basic concept for this integrated spatial analysis environment IUBEA. Then, this paper discusses the main functions for this new environment in detail. The research serves a new paradigm of the multi-scale integrated analysis that can lead to an efficient energy model, which contributes the body of knowledge of energy modeling beyond the single building scale. Findings also proved that ABM is a feasible tool to tackle intellectual challenges in energy modeling. The final adoption example of Greater London demonstrated that the integrated analysis environment as a feasible tool for building energy consumption have unique advantages and wide applicability.

2013 ◽  
Vol 415 ◽  
pp. 734-740
Author(s):  
Yun Long Ma ◽  
Xiao Hua Chen ◽  
Bo Liu ◽  
Guo Feng Zhang

This paper analyzes the characteristics and composition of the energy consumption system of the building from the perspective of systematic energy conservation and presents the systematic framework of the consumption model. Based on the framework, the paper focuses on how to establish a building energy consumption assessment system, find the energy efficiency index system and assessment approaches, and apply the results directly into building energy conservation and emission reduction. It not only facilitates greatly the overall and efficient management of the energy consumption system of the building, but also serves as another new approach to achieve energy conservation and emission reduction.


2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.


2013 ◽  
Vol 291-294 ◽  
pp. 945-948 ◽  
Author(s):  
Feng Qin Yu ◽  
Bei Tian ◽  
Xin Zhang ◽  
Qiang Wang ◽  
Dan Shi Yu ◽  
...  

The building energy consumption is one of three in China's energy consumption, the detection and monitoring for energy consumption of building is the basis for the work of building energy efficiency. This article describes a perception, monitoring and management system of building energy consumption based on Internet of Things technology architecture, in the system, various energy instrumentation is installed inside the building and measurement all kinds of energy consumption data in the perception layer, collection daterminal data connected to the RS485 bus access gateway for data transmission via Ethernet or mobile communication network in the network layer and transport layer, deal with the statistical analysis of the energy consumption data in the application layer. The system has been successfully applied to more than 50 large-scale public building to implement energy consumption monitoring and management, and the support of the underlying data for building energy efficiency.


2011 ◽  
Vol 71-78 ◽  
pp. 379-382
Author(s):  
Ling Wang ◽  
Wen Ling Tian ◽  
Ling Ling Fan

Based on the analysis of the trends of building energy consumption and the situation of standard of building energy efficiency, the thought of system development for building energy efficiency design and engineering quality management based on Network is proposed. Data control processes, modules and functions of system is introduced. This system is an opening system; it has better adaptable to change of standards.


PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0183437 ◽  
Author(s):  
Dasaraden Mauree ◽  
Silvia Coccolo ◽  
Jérôme Kaempf ◽  
Jean-Louis Scartezzini

2014 ◽  
Vol 525 ◽  
pp. 439-442
Author(s):  
Ling Jiao

With the development of economy, the progress of the times, the city continued to expand the scale of construction, building energy consumption is more and more serious, and the green energy-saving buildings are paid more and more attention in society. Building energy efficiency can fundamentally promote the savings and the rational use of energy and resources, Building energy efficiency is the needs to guarantee the sustainable development of national economy. With problems in building energy efficiency as the point of penetration, this paper analyses the present situations of building energy consumption and the major energy-saving issues in China. On the basis, in order to promote the green building of sustainable development, from thinking, evaluation system, design and other aspects some suggestions and measures are proposed .


2014 ◽  
Vol 977 ◽  
pp. 174-177
Author(s):  
Xin Li ◽  
Rui Ying Jia ◽  
Run Ping Niu

The purpose of building energy efficiency diagnosis was to find out the problems existing in the process of using energy and analysis the potential of energy saving to guide the owner who should improve the building energy efficiency as far as possible to reduce building energy consumption. This paper involves only the research on energy saving diagnosis of clean air conditioning system in pharmaceutical industry.


Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3210 ◽  
Author(s):  
Chao Ding ◽  
Nan Zhou

Building energy consumption accounts for 36% of the overall energy end use worldwide and is growing rapidly as developing countries continue to urbanize. Understanding the energy use at urban scale will lay the foundation for identification of energy efficiency opportunities to be deployed at speed. China has almost half of global new constructions and plays an important role in building suitability. However, an open source national building energy consumption database is not available in China. To provide data support for building energy consumptions, this paper used a simulation method to develop an urban building energy consumption database for a pilot city in Wuhan, China. First, residential, small, and large office building archetype energy models were created in EnergyPlus to represent typical building energy consumption in Wuhan. The baseline reference model simulation results were further validated using survey data from the literature. Second, stochastic simulations were conducted to consider different design parameters and occupants’ energy usage intensity scenarios, such as thermal properties of the building envelope, lighting power density, equipment power density, HVAC (heating, ventilation and air conditioning) schedule, etc. A building energy consumption database was generated for typical building archetypes. Third, data-driven regression analysis was conducted to support quick building energy consumption prediction using key high- level building information inputs. Finally, a web-based urban energy platform and an interface were developed to support further third-party application development. The research is expected to provide fast energy efficiency building design solutions for urban planning, new constructions as well as building retrofits.


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