Heating and Cooling of Buildings

Reddy, T. Agami; Kreider, Jan F.; Curtiss, Peter S.; Rabl, Ari

doi:10.1201/9781315374567

Cited by 44 publications

(32 citation statements)

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“…In the following part, we assume that all devices can be modeled by the same general transition model f , with device specific parameters a i . In the following sections we use the thermal model given by Mortensen and Haggerty [1], which is straightforward to optimize due to its linearity, however our algorithms can be applied to more advanced building thermal models such as those described in [2].…”

Section: Problem Descriptionmentioning

confidence: 99%

Multi-agent Planning Under Uncertainty for Capacity Management

Nijs

Weerdt

Spaan

2018

Intelligent Integrated Energy Systems

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Demand response refers to the concept that power consumption should aim to match supply, instead of supply following demand. It is a key technology to enable the successful transition to an electricity system that incorporates more and more intermittent and uncontrollable renewable energy sources. For instance, loads such as heat pumps or charging of electric vehicles are potentially flexible and could be shifted in time to take advantage of renewable generation. Load shifting is most effective, however, when it is performed in a coordinated fashion to avoid merely shifting the peak instead of flattening it. In this chapter, we discuss multi-agent planning algorithms for capacity management to address this issue. Our methods focus in particular on addressing the challenges that result from the need to plan ahead into the future given uncertainty in supply and demand. We demonstrate that by decoupling the interactions of agents with the constraint, the resulting algorithms are able to compute effective demand response policies for hundreds of agents. F. de Nijs (B) · M. M. de Weerdt · M. T. J. Spaan

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Section: Problem Descriptionmentioning

confidence: 99%

Multi-agent Planning Under Uncertainty for Capacity Management

Nijs

Weerdt

Spaan

2018

Intelligent Integrated Energy Systems

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“…It is clear that there is a strong relationship between the success of development and the availability of energy. This added a very important dimension, which is reflected in the depletion of traditional sources of energy over the next 30 years, in addition to the continuous rise in global pollution rates, especially for large urban centers as the most energy-intensive [11].…”

Section: Research Significancementioning

confidence: 99%

Assessing the future prospects of solar energy conversion technologies in electronic applications

Kadhim¹

2018

IJET

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Solar energy has become one of the most important sources of renewable energy. This is evident in the fact that many organizations and individuals have resorted to renewable energy, without fear of depletion, without fear of the monthly costs of using fuel-based electricity.The study examined the mechanism of using solar energy and the mechanism of solar cells in converting sunlight into electricity in general, and thus allocating research in solar energy conversion technologies to electrical energy, and some systems of assessing of these technologies, in order to know the future status of the technology of converting solar energy, as well as to know the costs that these technologies must reach in order to be a candidate for bulk power.

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“…A typical implementation is the blower door test, which pressurizes/depressurizes at a higher pressure than the actual condition of the building, making it possible to minimize the influence of external environmental factors that could affect the airtightness result. 16 Using this method, the representative airtightness of a building can be calculated and is compared between buildings. However, it is an expensive and time-consuming test to perform.…”

Section: Introductionmentioning

confidence: 99%

Predicting airtightness using differential pressure in actual climate conditions: Theory and implementation

Park

Yoon

et al. 2022

Indoor and Built Environment

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This study proposes a new method for predicting the airtightness of a building envelope by using pressure differences that naturally occur in high-rise buildings. The background and principle of the proposed method, which uses the relationship between pressure difference and airflow, are described. The proposed method was validated by applying it to a 42-storey residential building. The differential pressure generated in the building under actual climatic conditions was measured twice during the winter season. Based on the measured pressure difference data, the airtightness of the building envelope was predicted, and those predicted values were compared with detailed measurements taken using the blower door test method. The results show that the difference between the predicted and directly measured airtightness of the building envelope for the upper floors (36th and 42nd floors), where the differential pressure was relatively large, did not differ significantly. Where the differential pressure across a building component formed by the indoor/outdoor temperature difference, the building height, and the distance from the neutral plane of the analyzed building was more than 50 Pa, the results predicted using the method proposed in this study were valid.

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Heating and Cooling of Buildings

Cited by 44 publications

References 0 publications

Multi-agent Planning Under Uncertainty for Capacity Management

Multi-agent Planning Under Uncertainty for Capacity Management

Assessing the future prospects of solar energy conversion technologies in electronic applications

Predicting airtightness using differential pressure in actual climate conditions: Theory and implementation

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