Intelligent Green Building Research Articles

Research on Intelligent Building and Green Building

With the rapid development of our country’s social economy, the pace of urbanization is getting faster and faster, and more and more people are integrating into the city, which has brought greater pressure to the tight land resources. The limited resources cannot be used very quickly. To properly meet the serious consumption of modern construction projects, it is necessary to fully apply intelligent systems to achieve economical utilization of resources, and at the same time create a faster, greener and smarter living environment for people. So more intelligent systems should be used. More science and technology are applied to green buildings and intelligent buildings. The article mainly discusses the concept of intelligent green building, intelligent building system structure, and the specific application of intelligent technology in green building.

Intelligent Green Building Design and Management Based on the Internet of Things: An Empirical Study on Low Carbon Development

This article explores the application of Internet of Things technology in intelligent green buildings through empirical research, and analyzes its practical effects in improving building energy efficiency and reducing carbon emissions. The study adopted data collection and analysis methods, and the experimental results showed that IoT technology can effectively optimize building energy management and achieve low-carbon development goals. This article designed four experiments to explore the application of Internet of Things technology in the design and management of intelligent green buildings. In the energy consumption comparison experiment, after the implementation of the Internet of Things system, power consumption decreased from 1000 kWh/day to 800 kWh/day, water usage decreased from 650 liters/day to 500 liters/day, and natural gas consumption decreased from 400 meters ³/ Days reduced to 300 meters ³/ Heaven. In the indoor environmental quality monitoring experiment, after implementing the Internet of Things system, the average indoor temperature was maintained at 22°C, humidity was 50%, and CO2 concentration was reduced to 600 ppm. In the response efficiency testing experiment of the automation control system, the average response time of the system was 2 seconds, and the response accuracy reached 90%. In the final economic benefit analysis experiment, the total savings within one year after implementing the Internet of Things system reached 12267 US dollars. From the data conclusion, it can be seen that IoT technology can not only improve the energy and environmental management efficiency of buildings, but also have significant economic benefits, providing strong support for the development of green buildings.

Digital Twins for Intelligent Green Buildings

At present, the integration of green building, the intelligent building industry and high-quality development are facing a series of new opportunities and challenges. This review aims to analyze the digital development of smart green buildings to make it easier to create contiguous ecological development areas in green ecological cities. It sorts out the main contents of Intelligent Green Buildings (IGB) and summarizes the application and role of Digital Twins (DTs) in intelligent buildings. Firstly, the basic connotations and development direction of IGB are deeply discussed, and the current realization and applications of IGB are analyzed. Then, the advantages of DTs are further investigated in the context of IGB for DT smart cities. Finally, the development trends and challenges of IGB are analyzed. After a review and research, it is found that the realization and application of IGB have been implemented, but the application of DTs remains not quite integrated into the design of IGB. Therefore, a forward-looking design is required when designing the IGBs, such as prioritizing sustainable development, people’s livelihoods and green structures. At the same time, an IGB can only show its significance after the basic process of building the application layer is performed correctly. Therefore, this review contributes to the proper integration of IGB and urban development strategies, which are crucial to encouraging the long-term development of cities, thus providing a theoretical basis and practical experience for promoting the development of smart cities.

Can buildings be more intelligent than users?- The role of intelligent supervision concept integrated into building predictive control

This study addresses a new generation of adaptable intelligent control systems for energy management. The proposed approach consists of a high-level predictive control system based on advanced simulation and optimization algorithms which interact with conventional machine-level controllers of HVAC systems, e.g., PID, in order to define optimized set points considering current and forecasted operation conditions, minimizing a predefined objective cost function, e.g., energy consumption, subjected to maintain predefined levels of comfort. The flexibility of the proposed architecture and the development of reliable surrogate models based on robust machine learning techniques are key features to combine green building requirements while granting or even improving occupant comfort. A first version of the proposed system was developed, and preliminary results emphasize its role in the path of transition to intelligent green buildings as a part of new buildings or, more important, as a retrofit of current buildings, with almost no changes on infrastructures, but promoting them to a smart building level.

A Semantic and Social Approach for Real-Time Green Building Rating in BIM-Based Design

While many countries have developed green building rating systems (GBRSs) to promote the concept of green buildings, it is difficult for designers to achieve better sustainability in the design process when using the real-time green building rating score as a reference. This paper proposes an intelligent green building rating (iGBR) framework supported by a semantic and social approach to realize real-time rating in building design. The framework features four components: (1) An ontology that is used to encapsulate the knowledge of green building rating, (2) score calculation rules that are encoded in Semantic Web Rule Language (SWRL), (3) Autodesk Forge, which is employed as a building information modeling (BIM)–based design platform to synchronize design models from different professions in the cloud, and (4) a group chat tool to connect all project participants in a social communication environment to effectively exchange data/information required for score calculation. A prototype iGBR system is developed based on the Evaluation Standard for Green Building of China (ESGBC) to verify the framework, so that a total of 95 articles can be assessed automatically in the real-time approach.

Combining BIM and Ontology to Facilitate Intelligent Green Building Evaluation

AbstractGreen building evaluation is an effective measure to reflect the sustainability performance of buildings and is beneficial to improve the deteriorating environment. However, most evaluation...

Evaluation of intelligent green building policies in Taiwan – Using fuzzy analytic hierarchical process and fuzzy transformation matrix

With the use of fuzzy analytic hierarchical process (FAHP) and fuzzy transformation matrix (FTM), this research takes the policies related to intelligent green building promoted in Taiwan during 1999–2015 as subjects, so as to extract the collective intelligence of senior domain experts to evaluate the contribution weight ranking of each policy measures to achieve policy goals; in addition, with the implementation of policy measures of green building label, intelligent building label and green building material label in each year during this period, the growth and decline in evaluation cases are analyzed to testify the feasibility of policy evaluation method proposed. The results show that: 1.Use of FAHP and FTM to extract the collective intelligence from senior experts can establish policy evaluation method with reference value; 2.The additional building bulk incentive for private building, mandatory control for public building, mandatory incorporation of green public purchase into green building material are the most effective policy measures in Taiwan; 3.Implementation of control measures in the stage of design and planning for new buildings is superior to the control in the stage of operation and management in effectiveness.

Analysis of intelligent green building policy and developing status in Taiwan

In 2010, Taiwan launched a program dubbed “four emerging intellectual industries” that lists intelligent green buildings. The aim of promoting of intelligent green building is to stimulate the architecture technology industry. This has been combined with Information and Communication Technology (ICT) and the concept of green building to provide a safe and healthy living environment. While doing this it will also aim to reduce carbon emissions and save energy. This study investigates intelligent green building policies and the promotion of progress in Taiwan. It probes into cases from 1988 to 2014. Key success factors are derived from analyzing and summarizing intelligent green building experiences in Taiwan. This is done through Secondary Data Analyses by: 1. Establishing clear norms and standards for intelligent green building design and improvement; 2. First carrying out policies in public sector, in order to provide field trial and safeguarded market opportunities for industries; 3. Implementing rating-based assessments, in order to raise the quality of design; 4. Mandatory or incentive policies are introduced, depending on local specialties and conditions; 5. Respectively planning incentives for relevant interested parties in industrial chain; 6. Strengthening marketing efforts and proactively promoting policies.

Probe into the Development and Strategies of Implementation for Intelligent Buildings in Taiwan

Since 1985, various intelligent technologies have introduced and policy-driven in Taiwan, the intelligent building system has gradually formed catering for the characteristics of Taiwan. Therefore, this study proceeds to explore current status and survey strategies of policy implementation for intelligent buildings development in Taiwan, and further obtained countermeasures for building developers and public sectors in implementation intelligent buildings. The study firstly proceeds to relevant literature review and analysis of intelligent buildings both domestic and foreign, and through statistic and analysis in case studies and content analysis method, acquires Taiwan intelligent building evaluation indicator items for normal and non-normal application of intelligent building system by building developers and public sectors. Through study found four evaluation indicator items of normal application, and one evaluation indicator items of non-normal application, as well as building developers selected quantity and items of evaluation indicator fewer than public sectors. It is expected that study result will providing assessment and references to building developers and public sectors for the direction and implement strategy of intelligent building development in future, and further promote the realization goal of sustainable intelligent green building in Taiwan.

APPLYING A KANO QUALITY MODEL FOR INTELLIGENT GREEN BUILDING DESIGN STRATEGIES IN TAIWAN

Intelligent green building (IGB) industry has received considerable global recognition due to the rapid development of advanced technology, intelligent materials, innovative products, and services in recent years. Although various cross-domain experiments and practices with respect to IGB projects are ready for operation, the notion and benefits of IGB are still ambiguous and debatable. The purpose of this study is to apply a Kano quality model and a customer satisfaction matrix to evaluate professional designers’ and general users’ satisfaction, preferences, and acceptability of IGB design strategies. The study result reveals that the proposed approach could be a useful tool to explore similarities and discrepancies of strategy preferences between designers and users, and these findings could effectively decrease the communication gap for future IGB design.

Intelligent and Green Buildings Project Management Scope Definition Using Project Definition Rating Index (PDRI)

The development of the intelligent green building project (IGBP) is the pursuit of a business strategy of an enterprise in principle and the launch of the project in practice. The IGBP is integrated with the application of the Project Definition Rating Index (PDRI) in order to combine the needs of pre-project planning. These are the steps to enhance the performance of project execution. The IGBP-PDRI model proposed to construct in this study is based on the life cycle of the engineering to set up different phases of work for process evaluation. The model of evaluation is divided into 4 sections, 11 categories, and 60 elements. Pre-project planning helps to forecast possible risks in the development of the project. In the course of project execution, quality requirement is satisfied through monitoring and control. These help to ensure the operation efficiency of the project, to the extent that the automated system of the building supported by green construction can meet the goal of sustainable development.

Intelligent Green Buildings Project Scope Definition Using Project Definition Rating Index (PDRI)

The development of the intelligent green building project (IGBP) is the pursuit of a business strategy of an enterprise in principle and the launch of the project in practice. For the effective attainment of the desired goal, the IGBP is integrated with the knowledge of construction project management and the application of the Project Definition Rating Index (PDRI) in order to combine the needs of pre-project planning. These are the steps to enhance the performance of project execution, make buildings energy efficient and reduce carbon emissions. The IGBP-PDRI model proposed to construct in this study is based on the life cycle of the engineering to set up different phases of work for process evaluation. The objective of each phase is subject to the work breakdown structure. The model of evaluation is divided into 4 sections, 11 categories, and 60 elements. The model has been tested empirically. Pre-project planning helps to forecast possible risks in the development of the project. In the course of project execution, quality requirement is satisfied through monitoring and control. These help to ensure the operation efficiency of the project, to the extent that the automated system of the building supported by green construction can meet the goal of sustainable development.

Kano-Based Quality Model for Differencing Intelligent Green Building Design Strategies

Kano-Based Quality Model for Differencing Intelligent Green Building Design Strategies

Energy Efficiency Like Your Momma Used to Make

The author muses on having artificially intelligent green buildings that would nag occupants with energy saving tips the way some parents of yesteryear nagged their childeren on the use of electricity in the home.

Designs of Intelligent Environ-Control System Based on Energy Saving and IEH- Study on S House

Intelligent green buildings are the latest development trend of Taiwan’s building industry. This research focuses on how to control the components and equipments in a building in accordance with the variation of environment and needs of users. In the research, the equipments (heat recovery ventilation, HRV) and components (top windows of ventilation tower) were automatically driven by various environmental sensors installed outdoor and indoor for controlling environmental conditions in real time. Meanwhile, it was helpful to energy saving and indoor environmental health (IEH). S house located in Chiayi of Taiwan is the object of the research. The intelligent environ-control system of S house can be divided into three parts: small weather station monitoring system, intelligent window scenario control system, and indoor monitoring and control system. The points of this research mainly are to construct a overall structure of the intelligent environ-control system, the logic and mechanism of intelligent window scenario control system, essential fresh air calculation, and the judgment on activation and operation of indoor monitoring and control system.

The ‘Building Colleges for the Future’ Program. Delivering a Green and Intelligent Building Agenda

Intelligent buildings in the education sector have the potential to offer highly productive, green environments that utilize converged and integrated technology to deliver high quality learning experiences for students. The barriers to this implementation are examined; in particular, the inability of some areas of the sector to embrace the holistic and joined up collaborative approach that is necessary for success. The article defines intelligent buildings and examines behavior as well as studying the issues of productivity, performance, effectiveness, and pedagogy. It details the expected return on investment of green and intelligent buildings and the sustainability credentials of the approach. It concludes that intelligent green buildings, do indeed, promise high productivity and sustainability—and warns that this can only be achieved if the cultural and process barriers currently in place are resolved.