Intelligent systems applied to buildings' management

Pereira, Rita; Barata, Filipe; Viveiros, Carla

doi:10.1109/cpe-powereng48600.2020.9161688

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…In some cases [2,57,[63][64][65][66], the energy consumption is provided as both total and partial: energy consumption is listed for the relevant components of the heating, ventilation, and air conditioning (HVAC) system or separately for space heating and cooling. Another approach is to compute the energy savings, which are quantified as a percentage (or improvement) of the consumption reduction compared to the specified reference, as in [18,36,47,58,[65][66][67][68][69][70][71][72][73]. Note that Refs.…”

Section: Energy Consumption Metricsmentioning

confidence: 99%

“…Some test benches, such as [11,18,39,43,46,[57][58][59][60]66,77,83,[85][86][87], assess not solely the energy consumption and the thermal comfort but also the energy cost. In total, 16% of all KPIs belong to the energy cost category (see Figure 3).…”

Section: Energy Cost Metricsmentioning

confidence: 99%

“…Prices are an external input for all studies. For instance, Pereira et al [66] adopted the Portuguese tariff scenarios. Therefore, standardization might be enhanced by defining a set of references for the price scenarios and providing a clear reminder of the data source, ensuring ease of access to any user.…”

Section: Energy Cost Metricsmentioning

confidence: 99%

“…For instance, according to Marmaras et al [103], the number of people who own an electric vehicle (EV) will rise to 60% by 2030. Since this new load will affect a building's energy balance, EV charging schedules should be included in future occupancy models, as it already has been in [66].…”

Section: Occupancy Modelmentioning

confidence: 99%

See 3 more Smart Citations

Benchmarking Approaches for Assessing the Performance of Building Control Strategies: A Review

Ceccolini

Sangi

2022

Energies

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In the last few decades, researchers have shown that advanced building controllers can reduce energy consumption without negatively impacting occupants’ wellbeing and help to manage building systems, which are becoming increasingly complex. Nevertheless, the lack of benefit awareness and demonstration projects undermines stakeholders’ trust, justifying the reluctance to approve new controls in the industry. Therefore, it is necessary to support the development of controls through solid arguments testifying to the performance gain that can be achieved. However, the absence of standardized and systematic testing methods limits the generalization of results and the ability to make fair cross-study comparisons. This study presents an overview of the different benchmarking approaches used to assess control performance. Our goal is to highlight trends, limitations, and controversies through analytics to support the definition of best practices, which remains a widely discussed topic in this research area. We aim to focus on simulation-based benchmarking, which is regarded as a promising solution to overcome the time and cost requirements related to field or hardware-in-the-loop testing. We identify and investigate four key steps relating to virtual benchmarking: defining the key performance indicators, specifying the reference control, characterizing the test scenarios, and post-processing the results. This work confirmed the expected heterogeneity, underlined recurrent features with the help of analytics, and recognized limits and open challenges.

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