Low order thermal network models for dynamic simulations of buildings on city district scale

Lauster, Moritz; Teichmann, Jens; Fuchs, Marcus; Streblow, Rita; Mueller, Dirk

doi:10.1016/j.buildenv.2013.12.016

Cited by 110 publications

(54 citation statements)

References 16 publications

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“…This approach is based on engineering guideline VDI 6007 and represents thermal zones as a network of thermal resistances and capacitances [30,31]. The average heat demand during the investigated time frame results in 4000 W and the maximum demand is 11600 W.…”

Section: Use Casementioning

confidence: 99%

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A comparison of thermal energy storage models for building energy system optimization

Schütz

Streblow

Müller

2015

Energy and Buildings

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Section: Use Casementioning

confidence: 99%

“…The building's heat demand profile is computed with a simulation approach described by [30]. This approach is based on engineering guideline VDI 6007 and represents thermal zones as a network of thermal resistances and capacitances [30,31].…”

Section: Use Casementioning

confidence: 99%

A comparison of thermal energy storage models for building energy system optimization

Schütz

Streblow

Müller

2015

Energy and Buildings

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“…182,183 As buildings become energy producers as well as consumers, integrating these decentralized energy systems at the neighborhood and at the district scale enables a further reduction in energy consumption and CO 2 emissions. 184 This integration requires the modification of district heating networks 185 and smart grids that can deal with decentralized electricity production, consumption, and storage, including those associated with electric vehicles. 186 There is a strong need for standardization to ensure the compatibility of the various technical installations at both the building and the district level, and this is an area where policy can make a difference.…”

Section: Electrical Energy Storagementioning

confidence: 99%

Energy in buildings—Policy, materials and solutions

Koebel

Wernery

Malfait

2017

MRS Energy & Sustainability

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Buildings account for ∼40% of global energy demands, and the increased adoption of innovative solutions for buildings represents an enormous potential to reduce energy demands and greenhouse gas emissions. Here, we critically review the current and future materials and solutions for the construction sector. We describe how policy affects innovative businesses and the adoption of new products and solutions. We investigate how the building envelope and user behavior determine building energy demands. Compared to conventional solutions, superinsulation materials (vacuum insulation panels, silica aerogel) can achieve the same thermal performance with drastically thinner insulation. With low-emissivity coatings and appropriate filler gasses, double and triple glazing reduces thermal losses by an order of magnitude. Vacuum and aerogel glazing reduce these even further. Switchable glazing solutions maximize solar gains during wintertime and minimize illumination demands whilst avoiding overheating in summer. Upon integration of renewable energy systems, buildings become both producers and consumers of energy. Combined with the dynamic user behavior, temporal variations in energy production require thermal and electrical storage and the integration of buildings into smart grids and energy district networks. The combination of these measures can reduce the energy consumption of the building's stock by a factor of three.

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“…Many papers describe lumped electric circuit equivalent models for thermal zones [27], [28]. Others develop detailed prediction models that account for a wide variety of factors including physical building parameters, lighting, occupants, climate etc [29], [30], [31].…”

Section: A Zone Thermal Modelmentioning

confidence: 99%

Token based scheduling of HVAC Services in commercial buildings

Radhakrishnan

Yang

et al. 2015

2015 American Control Conference (ACC)

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This paper proposes a novel distributed architecture for controlling Heating, Ventilation and Air conditioning (HVAC) systems in commercial buildings. Zone Modules use local models and measurements to compute requests for HVAC service over various future time windows. These requests are expressed in terms of the heating/cooling service required which we can conceptually regard as tokens. A Central Scheduler balances token requests and allocates tokens to each zone for the next time slot. This allocation attempts to minimize total energy consumption while respecting operational constraints. Zone modules update their local models based on the measured thermal responses resulting from allocated tokens, and recompute forward token requests. This proposed token based architecture is inspired by medium access control protocols in communication networks. It offers several advantages in the context of HVAC systems. The architecture is scalable to realistic buildings with 200-500 thermal zones, it is robust relative to non-stationary environmental conditions and unanticipated changes in user needs, and it is modular enabling low-cost deployment without requiring expensive custom thermal modeling of buildings. We develop the zone module algorithms for computing token requests and central scheduler algorithms to allocate tokens. Using simulation studies, we demonstrate that the performance loss of our token based scheduling strategy is modest in comparison to a fully centralized nonlinear optimal control scheme.

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Low order thermal network models for dynamic simulations of buildings on city district scale

Cited by 110 publications

References 16 publications

A comparison of thermal energy storage models for building energy system optimization

A comparison of thermal energy storage models for building energy system optimization

Energy in buildings—Policy, materials and solutions

Token based scheduling of HVAC Services in commercial buildings

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