Dynamic simulation of space heating systems with radiators controlled by TRVs in buildings

Xu, Baoping; Fu, Lin; Di, Honggui

doi:10.1016/j.enbuild.2008.03.004

Cited by 84 publications

(45 citation statements)

References 7 publications

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“…Figures 12 and 13 depict Pinkafeld's patterns of the space-heat demand and the ventilation, respectively, throughout the day. 9 As per [18], we validated the performance of our model in Eq. (1) using a laboratory facility.…”

Section: Pinkafeldmentioning

confidence: 99%

Improving energy efficiency via smart building energy management systems: A comparison with policy measures

Rocha

Siddiqui

Städler

2015

Energy and Buildings

136

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To foster the transition to more sustainable energy systems, policymakers have been approving measures to improve energy efficiency as well as promoting smart grids. In this setting, building managers are encouraged to adapt their energy operations to real-time market and weather conditions. Yet, most fail to do so as they rely on conventional building energy management systems (BEMS) that have static temperature set points for heating and cooling equipment. In this paper, we investigate how effective policy measures are at improving building-level energy efficiency compared to a smart BEMS with dynamic temperature set points. To this end, we present an integrated optimisation model mimicking the smart BEMS that combines decisions on heating and cooling systems operations with decisions on energy sourcing. Using data from an Austrian and a Spanish building, we find that the smart BEMS results in greater reduction in energy consumption than a conventional BEMS with policy measures.

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Section: Pinkafeldmentioning

confidence: 99%

Improving energy efficiency via smart building energy management systems: A comparison with policy measures

Rocha

Siddiqui

Städler

2015

Energy and Buildings

136

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“…Therefore it is important to limit the side effect of human behavior on the effectiveness of TRVs [34], as these have a decisive role in overall system efficiency and in the cooling of return temperatures. This was further highlighted by the investigations of Monetti et al [35], Xu et al [36] and McNamara [37] who showed that properly installed and controlled TRVs can lead to savings of 10%, 12.4% and 15% respectively, with relatively low-cost retrofitting investment and short payback periods.…”

Section: Hardware Part -Type Of Heating Systemsmentioning

confidence: 82%

Method to investigate and plan the application of low temperature district heating to existing hydraulic radiator systems in existing buildings

Tunzi

Østergaard

Svendsen

et al. 2016

Energy

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Document Version Peer reviewed version Link back to DTU Orbit Citation (APA):Tunzi, M., Østergaard, D. S., Svendsen, S., Boukhanouf, R., & Cooper, E. (2016). Method to investigate and plan the application of low temperature district heating to existing hydraulic radiator systems in existing buildings. Energy, 113,[413][414][415][416][417][418][419][420][421] This study presents a method to adapt existing hydronic systems in buildings to take advantage of low temperature district heating (LTDH). Plate radiators connected to double string heating circuits were considered in an optimization procedure, based on supply and return temperatures, to obtain the required logarithmic mean temperature difference (LMTD) for a low temperature heating system. The results of the analysis are presented as the average reduction of LMTD over the heating season compared to the base case design conditions. Two scenarios were investigated based on the assumption of a likely cost reduction in the end users' energy bills of 1% for each 1 °C reduction of return and average supply and return temperatures. The results showed possible discounts of 14% and 16% respectively, due to more efficient operation of the radiators. These were achieved without any intervention in the thermal envelope or to the heating systems, through simply adjusting the temperatures according to demand and properly controlling the plate radiators with thermostatic radiator valves (TRVs).

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“…The equations used in the operational module have been extracted from published papers [3] for HVAC systems based on water to air systems and [4] for conventional radiators systems.…”

Section: Figure 2 Typical Energy Loads Heat Exchanges and Hvac Equipmentioning

confidence: 99%

Decision support system for distributed energy resources and efficient utilisation of energy in buildings

Perea

Mera

Siddiqui

et al. 2013

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013)

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Deregulation of energy sectors provides challenges and opportunities alike for operators of public buildings.Exposure to energy prices and CO 2 emissions restrictions create incentives to adopt more energy-efficient technologies. Yet, market and technological uncertainties necessitate decision support for risk management. We present a decision support system (DSS) being developed for integrated management of energy efficient buildings. This tool intends to provide decision support for building operators to help them meet their needs in a more efficient, less costly, and less CO 2 intensive manner. This paper gives an overview of the strategic DSS module and focuses how the operation DSS module has been conceived starting from mathematical formulation and ending with a validation exercise in a laboratory building.

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Dynamic simulation of space heating systems with radiators controlled by TRVs in buildings

Cited by 84 publications

References 7 publications

Improving energy efficiency via smart building energy management systems: A comparison with policy measures

Improving energy efficiency via smart building energy management systems: A comparison with policy measures

Method to investigate and plan the application of low temperature district heating to existing hydraulic radiator systems in existing buildings

Decision support system for distributed energy resources and efficient utilisation of energy in buildings

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