Simulation-assisted control in building energy management systems

Clarke, J.A.; Cockroft, Jeremy; Conner, Sue; Hand, Jon; Kelly, Nick; Moore, R.L.; O’Brien, Thomas F.; Strachan, Paul

doi:10.1016/s0378-7788(02)00068-3

Cited by 129 publications

(58 citation statements)

References 5 publications

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“…There is a need for advanced supervisory control strategies that are able to evaluate several competitive alternatives to make wellinformed decisions. Promising developments in this regard are formed by optimal control [115], [116] and model based predictive control strategies supplied with weather forecasts [117], [118].…”

Section: Operational Issuesmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

518

270

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Section: Operational Issuesmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

518

270

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“…Carbon Trust, 2012Trust, , 2007, or be in association with energy management systems that in part relate to control of energy-consuming technologies (e.g. Clarke et al, 2002;Klein et al, 2012), and (2) we felt that 'energy accounting' predominantly relates to the processing and analysing of data, rather than active collection and entry of that data too. Further, the terms 'energy feedback' and 'energy monitoring' are commonly conflated and used interchangeably.…”

Section: Defining the Practice Of Energy Monitoringmentioning

confidence: 99%

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

2017

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Energy feedback is a prominent feature of policy initiatives aimed at reducing domestic energy consumption. However little research has been conducted on the phenomenon of energy monitoring itself, with most studies looking at whether, and how, feedback impacts on energy conservation. This paper aims to address that gap from a practice theory perspective. In particular we: set out the difference between energy feedback and energy monitoring; define the practice of energy monitoring; and investigate the rationale and qualitative experiences of those performing energy monitoring. An online energy feedback tool ('iMeasure') was the basis of the case study. A netnographic analysis of online discussion about the tool informed complementary in-depth interviews with ten current/former iMeasure users. We found energy monitoring to be a distinct practice that focuses on measuring and identifying energy use trends and requires specific knowhow to perform. However, its connections to other household practices were weak and, for those who did perform monitoring, there was no guarantee that this practice would reorganise other practices to induce household energy saving. In fact, monitoring often followed decisions to make energy-related changes, rather than prompting them. We conclude that policy expectations need to be reframed in terms of how energy monitoring tools are used.

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“…Two simulation programs were used to evaluate the energy potential, BIPvWt: the ESP-r simulation program for an analysis of the PV and building energy consumption, and ANSYS Fluent for a computational fluid dynamics (CFD) analysis of the performance of the wind power conversion system [8,45]. ANSYS Fluent is one of the most-used CFD software offering various turbulence models based on the Reynolds-Averaged Navier Stokes (RANS) model.…”

Section: Energy Simulation and Input Datamentioning

confidence: 99%

Renewable Energy Potential by the Application of a Building Integrated Photovoltaic and Wind Turbine System in Global Urban Areas

et al. 2017

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Globally, maintaining equilibrium between energy supply and demand is critical in urban areas facing increasing energy consumption and high-speed economic development. As an alternative, the large-scale application of renewable energy, such as solar and wind power, might be a long-term solution in an urban context. This study assessed the overall utilization potential of a building-integrated photovoltaic and wind turbine (BIPvWt) system, which can be applied to a building skin in global urban areas. The first step of this study was to reorganize the large volume of global annual climate data. The data were analyzed by computational fluid dynamic analysis and an energy simulation applicable to the BIPvWt system, which can generate a P max 300 Wp/module with a 15% conversion efficiency from a photovoltaic (PV) system and a 0.149 power coefficient/module from wind turbines in categorized urban contexts and office buildings in specific cities; it was constructed to evaluate and optimize the ratio that can cover the current energy consumption. A diagram of the distribution of the solar and wind energy potential and design guidelines for a building skin were developed. The perspective of balancing the increasing energy consumption using renewable energy in urban areas can be visualized positively in the near future.

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Simulation-assisted control in building energy management systems

Cited by 129 publications

References 5 publications

Climate adaptive building shells: State-of-the-art and future challenges

Climate adaptive building shells: State-of-the-art and future challenges

Energy monitoring as a practice: Investigating use of the iMeasure online energy feedback tool

Renewable Energy Potential by the Application of a Building Integrated Photovoltaic and Wind Turbine System in Global Urban Areas

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