Economic model predictive control of space heating and dynamic solar shading

Knudsen, Michael Dahl; Petersen, Steffen

doi:10.1016/j.enbuild.2019.109661

Cited by 27 publications

(11 citation statements)

References 28 publications

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“…A case study (Reinhart and Voss, 2003) recorded a strong occupant tendency to open blinds, after they have been lowered by a control system. However, lowering the blinds can have a significant decrease in cooling loads and help reduce overheating (Tzempelikos and Athienitis, 2007;Foldbjerg, P., Asmussen, 2013;Knudsen and Petersen, 2020) as well as avoid glare (Osterhaus, 2009).…”

Section: Daylight-responsive Controlmentioning

confidence: 99%

Literature review - Energy saving potential of user-centered integrated lighting solutions

2021

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Measures for the reduction of electric energy loads for lighting have predominantly focussed on increasing the efficiency of lighting systems. This efficiency has now reached levels unthinkable a few decades ago. However, a focus on mere efficiency is physically limiting, and does not necessarily ensure that the anticipated energy savings actually materialize. There are technical and non-technical reasons because of which effective integration of lighting solutions and their controls, and thus a reduction in energy use, does not happen.

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Section: Daylight-responsive Controlmentioning

confidence: 99%

Literature review - Energy saving potential of user-centered integrated lighting solutions

2021

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“…Excessive heat in homes can turn into stress, which affects health and well-being. The health consequences of overheating in homes could increase due to climate change by the 2050s [6]. Improving the increase in heat through the building facade is usually considered in the calculation of cooling and heating loads in the field of air conditioning.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Fixed External Shading Devices on Daylighting and Thermal Comfort in Residential Building

Heidari

Taghipour

Yarmahmoodi

2021

Journal of Daylighting

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Building shading devices can improve the thermal comfort in indoor environment, and also reduce cooling and heating energy consumption in dry and hot climate. This study proposes the different kind of window’s fixed shading devices for energy consumption under near-extreme summer and winter conditions by conducting residential building energy simulations in Shiraz climate. Which fixed shading devices optimal configurations that give maximum energy consumption can be used in Shiraz climate. The study was based on modeling-simulation experiments where Ecotect models resented the actual building energy with and without shading devices to reducing heating and cooling load and peak consumption. The results obtained confirmed the accuracy of the model and the suitability of (horizontal, eggcrate and geometrical) of shading devices in reducing the solar gains in summer with reduced blocking of solar radiation in winter. In all cases it has been proven that excessive obstruction may yield an excessive reduction in a range of illuminances between 500 and 2000 lux, increasing lighting energy consumption. At the end results showed that horizontal, geometrical and eggcrate have the best function according to reduce energy and have enough day lighting in the zones in shiraz climate.

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“…In this light, Danov et al [11] proposed the method for introducing the solar gain into the calculation of total heat loss coefficient. Knudsen and Petersen [12] underlined that it is not easy to simultaneously minimize overheating and energy costs; therefore, they proposed economic model predictive control for space heating. The use of model predictive control (MPC) may significantly reduce the energy consumption for heating [13], but there are still some barriers in wide application of such control methods [14], connected also with influence of external and internal factors on the building energy consumption [15].…”

Section: Introductionmentioning

confidence: 99%

On the Influence of Solar Radiation on Heat Delivered to Buildings for Heating

et al. 2021

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Nowadays, the attention of designers and service providers is especially focused on energy efficiency and integration of renewable energy sources (RES). However, the knowledge on smart devices and automated, easily applicable algorithms for optimizing heating consumption by effectively taking advantage of solar heat gains, while avoiding overheating, is limited. This paper presents a simple method for taking into account the influence of solar heat gains in the form of solar radiation for the purposes of forecasting or controlling thermal power for heating of buildings. On the basis of field research carried out for seven buildings (five residential buildings and two public buildings) during one heating season, it was noticed that it was justified to properly narrow down the input data range included in the building energy model calculations in order to obtain a higher accuracy of calculations. In order to minimize the impact of other external factors (in particular wind speed) affecting the heat consumption for heating purposes, it was recommended to consider the data range only at wind speeds below 3 m/s. On the other hand, in order to minimize the impact of internal factors (in particular the impact of users), it was suggested to further narrow down the scope of the input data to an hour (e.g., 10–14 in multi-family residential buildings). During these hours, the impact on users was minimized as most of them were outside the building.

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Economic model predictive control of space heating and dynamic solar shading

Cited by 27 publications

References 28 publications

Literature review - Energy saving potential of user-centered integrated lighting solutions

Literature review - Energy saving potential of user-centered integrated lighting solutions

The Effect of Fixed External Shading Devices on Daylighting and Thermal Comfort in Residential Building

On the Influence of Solar Radiation on Heat Delivered to Buildings for Heating

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