Optimizing Building Energy Operations via Dynamic Zonal Temperature Settings

Groissböck, Markus; Heydari, Somayeh; Mera, Ana; Perea, E.; Siddiqui, Afzal S.; Städler, Michael

doi:10.1061/(asce)ey.1943-7897.0000143

Cited by 6 publications

(12 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Livengood and Larson [10] optimise the joint production of energy from intermittent resources and residential demand by accounting for building physics and the thermodynamics of air conditioning, while Liang et al [11] similarly embed such details within an optimisation model to examine the trade-off between cost and comfort. Focusing on conventional radiators and the ventilation aspect of HVAC systems, Groissböck et al [12] demonstrate that energy consumed for meeting buildings' heating requirements may be reduced by over 10% by operating the equipment in a way that is more responsive to external conditions. They implement their so-called dynamic temperature set point method, which allows the zonal temperature to fluctuate in a user-specified range, on one public building in Austria and another A c c e p t e d M a n u s c r i p t in Spain.…”

Section: Introductionmentioning

confidence: 98%

“…But, how effective are such policy measures at attaining stated improvements in energy efficiency at the building level? In particular, how do they compare with the so-called smart BEMS of [11] and [12]?…”

Section: Introductionmentioning

confidence: 99%

“…Similar to [12], our approach is to model the operations of both conventional and smart BEMS via an optimisation model. However, in contrast to both [11] and [12], we construct an integrated model for building operations that links lower-level decisions on equipment operations with upper-level ones on energy sourcing (see Figure 1).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Rocha

Siddiqui

Städler

2015

Energy and Buildings

Self Cite

136

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Rocha

Siddiqui

Städler

2015

Energy and Buildings

Self Cite

136

View full text Add to dashboard Cite

show abstract

“…The input parameters are calibrated in order to yield the same energy balances as those observed for the test buildings in the current year. For FASAD, the parameter values for new equipment are collected from energy-industry catalogues, whereas the values reported in Groissböck et al (2014) are used for Pinkafeld. …”

Section: Appendix B Input Parameters Of Numerical Examplesmentioning

confidence: 99%

“…Given the relatively low level of new construction starts in OECD countries, improving energy efficiency at the building level typically involves improved operations of existing equipment (Groissböck et al, 2014;Liang et al, 2012) or retrofits (Cano et al, 2014;Kumbaroglu and Madlener, 2012). Confounding this task is the fact that energy sectors in most OECD countries have been deregulated over the past thirty years (Wilson, 2002).…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient building retrofits: An assessment of regulatory proposals under uncertainty

Rocha

Kaut

Siddiqui

2016

Energy

Self Cite

View full text Add to dashboard Cite

Improving energy efficiency in European Union buildings will require retrofitting much of the existing stock due to limited new construction opportunities. Given uncertainty in energy prices and technology costs stemming from deregulation, a stochastic optimisation framework is desirable for long-term decision support. We synthesise treatment of uncertainty and risk management to obtain insights about the impact of retrofits on energy consumption, costs, CO 2 emissions, and risk at real buildings in Austria and Spain. The optimal strategy for the Spanish site is to invest in photovoltaic and solar thermal technologies. This lowers expected costs by 8.5% and reduces expected primary energy consumption and CO 2 emissions by 20% relative to using existing equipment. By limiting exposure to volatile energy prices, the strategy also yields a nearly 10% reduction in risk. We obtain similar results also for the Austrian site. Via this framework, tradeoffs among competing objectives and the effectiveness of proposed regulation may be assessed. Specifically, we find that more stringent restrictions on energy efficiency are economically viable if regulation also facilitates enhanced operational decision support for buildings. Indeed, primary energy consumption can be lowered only through more on-site generation such as combined heat and power, which is more complex for building managers to deploy.

show abstract