A three-year dataset supporting research on building energy management and occupancy analytics

The article analyzes the issue of environmental pollution by the energy industry. Currently, the problems of environmental pollution are alarming, which is regularly discussed by the media and the scientific community. Over the past 20 years, many scientists have predicted death for the Earth if radical measures are not taken to save it. Due to the activities of enthusiasts and organizations, books and research papers have been written about pollution and its types; studies have been carried out on the consequences of environmental disasters in the world.

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“…We do not think about where the energy comes from until we turn off the light or heating. If this happens, we cannot live or work [7][8].…”

Section: Discussionmentioning

confidence: 99%

“…The following harmful substances are present in flue gases: nitrogen oxide, nitrogen dioxide, sulfur oxide, solid particles in the form of ash, and others. The most harmful substance is nitric oxide [8]. At modern thermal power plants, flue gases are purified before entering the atmosphere.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the impact of the energy industry on the environment

Захаров

Lushpey

Abbasova

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Since experimental testing is time-consuming and difficult to gather high-quality data from 10 , most case studies use building simulation models. To ensure the reliability of the simulation results, the building simulation model needs to be calibrated or validated before it is used.…”

Section: Background and Summarymentioning

confidence: 99%

“…Existing open-source datasets related to building energy consumption fall under the following two main categories: residential buildings 19 – 21 and commercial buildings 10 , 22 , 23 . For residential buildings, Jacoby et al .…”

Section: Background and Summarymentioning

confidence: 99%

Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios

Yoon

Jung

et al. 2022

Sci Data

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This study provides an open-source dataset of the measured weather data, building indoor data, and system data under the different test settings. The test building is the two-story Flexible Research Platform building at the US Department of Energy’s Oak Ridge National Laboratory, in Oak Ridge, Tennessee. Four heating tests and three cooling tests were conducted. The 1-min interval of weather, building indoor data, and system data from each test setting are provided. Actual weather data were collected from a weather station installed on the roof. This paper describes information on the test building and installed sensors, data collection method, and data validation. The provided dataset can be employed to understand HVAC system conditions and building indoor conditions under different HVAC system operations and the performance of building envelope without HVAC system operation using free-floating test data. Additionally, it can be used for empirical validation of the building energy modelling engine.

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“…Te work [49] presents a system that includes predictive mechanisms and intelligent heating control algorithms based on an artifcial neural network (ANN) to optimize energy efciency while taking into account the satisfaction of residents. To do this, Berkeley Lab collected data for three years on whole-building and end-use energy consumption, HVAC system operating conditions, indoor and outdoor environmental parameters, and occupant count and created a dataset for analysis and machine learning [50].…”

Section: Personal Comfort System (Pcs)mentioning

confidence: 99%

Decentralized Coordination of Temperature Control in Multiarea Premises

2022

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With local control of a large number of objects that mutually influence each other, the problem of coordinating local control systems to achieve the best overall result arises. If the structure of the system (the number of control objects and the parameters of interaction) can change frequently, then the process of setting up/training a centralized coordinator will take an unacceptably large part of the action time and require a significant amount of resources. In this work, the use of decentralized coordination is proposed to solve the problem. As a basic task for research on decentralized coordination control of objects that mutually influence each other, stabilizing the comfort temperatures was set in multizone rooms using movable heaters. Providing individual thermal comfort is an important problem. In particular, there are many multiarea premises with conflicting requirements for the comfort of habitats. This problem can be solved with the help of movable heaters and air conditioners. However, the presence of heat flows between areas with different specified parameters makes it difficult to adjust them. The work aims to improve the quality of thermal control in multiarea premises with a dynamic structure for the location of movable heaters. To achieve this goal, we proposed the concept of Movable Smart Heaters (MSH). A group of Movable Smart Heaters that could influence each other and exchange information forms a dynamic system with a changing structure since switching on/off or moving one MSH to another area changes the mutual influence and connections in the system. The criteria for control quality are defined and evaluated. The proposed coordination algorithms make it possible to optimize the operating modes of the system automatically when its structure and/or settings are changed. Simulation of the system is performed with the use of a worked-out modelling library in Scilab. The results of comparing the MSH system’s efficiency show an increase in comfort while reducing energy consumption.

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A three-year dataset supporting research on building energy management and occupancy analytics

Cited by 50 publications

References 27 publications

Analysis of the impact of the energy industry on the environment

Analysis of the impact of the energy industry on the environment

Datasets of a Multizone Office Building under Different HVAC System Operation Scenarios

Decentralized Coordination of Temperature Control in Multiarea Premises

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