Towards a Service-Oriented Architecture for the Energy Efficiency of Buildings: A Systematic Review

Abstract

Currently, smart buildings generate large amounts of data due to the many devices and equipment available. Hence, buildings implement building management systems (BMSs), which monitor, control, manage and analyze each of these components. However, current BMSs are incapable of managing a massive amount of data (big data) and therefore cannot extract knowledge or make intelligent decisions in quasi real time. In addition, there are serious limitations to integrating BMSs with other services since they generally use proprietary software. In this sense, service-oriented architecture (SOA) is an architectural style that allows one to build distributed systems and provide functionalities such as services to end users or other types of services. Therefore, an SOA has the great advantage of allowing the expansion of the functionalities of BMSs. In fact, there are several studies that address SOAs for building management. However, we have not found any description or systematic analysis in the literature that allows the development of a versatile and interoperable SOA focused on the energy efficiency of buildings and that can integrate massive data analysis features. For these reasons, this study seeks to fill this knowledge gap and, more specifically, to identify and analyze the various software requirements proposed in the literature and the characteristics of big data that allow for improving the energy efficiency of buildings. To this end, we performed an in-depth review of the literature according to the methodology proposed by Kitchenham. As a result of this review, we provide researchers with a specific vision of the requirements and characteristics to consider for software development aimed at the energy efficiency of unique or historic buildings.

Building a Space Model Method Based on the Big Data Map Visual Design

“…On the contrary, big data has greatly promoted the further development of the traditional planning discipline, especially in the field of scientific research and project practice. The two complement each other to form complementary advantages [3,4]. Compared with traditional planning and research methods, big data has its unique advantages.…”

Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

“…Another possible area for future research would be the adaptation of this proposal to other sectors of industry 4.0 (e.g., smart buildings or tourism) [8,[129][130][131][132]; however, additional research is needed to obtain sufficient results to demonstrate the robustness of the architecture in terms of the adaptations of the attributes for these sectors. Our findings will be published in the near future.…”

Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review

“…As for the criterion of the publication period of the studies, articles published between 2011 and 2022 were considered. Asghari, Rahmani, and Javadi [39]; Wang, Zhong, and Souri [30], and Mendoza-Pitti et al [40] show that most studies on the Internet of Things applied to smart buildings, smart cities, and energy management in buildings have been published in the last decade.…”