Net-zero energy building clusters emulator for energy planning and operation evaluation

Li, Xiwang; Wen, Jin

doi:10.1016/j.compenvurbsys.2016.09.007

Cited by 45 publications

(16 citation statements)

References 21 publications

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“…Indeed, existing cities call for different approaches. In this context, Li et al (2017) [65] propose an approach based on the Net-Zero building cluster, within which smart grids, distributed power generation, and storage devices can freely share energy resources locally and globally, and the entire cluster will achieve maximum energy efficiency. However, this model limits its application to building clusters as autonomous and adaptive systems without any mutual interaction.…”

Section: Resultsmentioning

confidence: 99%

A Cellular Approach to Net-Zero Energy Cities

et al. 2017

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Abstract:Recent growth in the use of photovoltaic technology and a rapid reduction in its cost confirms the potential of solar power on a large scale. In this context, planning for the deployment of smart grids is among the most important challenges to support the increased penetration of solar energy in urban areas and to ensure the resilience of the electricity system. As part this effort, the present paper describes a cellular approach to a Net-Zero energy concept, based on the balance between the potential solar energy supply and the existing consumption patterns at the urban unit scale. To do that, the Geographical Urban Units Delimitation model (GUUD) has been developed and tested on a case study. By applying the GUUD model, which combines Geographic Information Systems (GIS), parametric modelling, and solar dynamic analysis, the whole area of the city was divided into urban cells, categorized as solar producers and energy consumers. The discussion around three theoretical scenarios permits us to explore how smart grids can be approached and promoted from an urban planning perspective. The paper provides insights into how urban planning can be a driver to optimize and manage energy balance across the city if the deployment of smart grids is correctly integrated in its operative process.

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Section: Resultsmentioning

confidence: 99%

A Cellular Approach to Net-Zero Energy Cities

et al. 2017

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“…Energy efficiency systems Energy production systems Window to wall ratio (16) Energy efficient lighting (24) Solar thermal (21) Skylights (7) Efficient appliances (14) Photovoltaic (29) Solar tubes (4) Efficient office equipment (13) Wind turbine (2) Blinds for glare control (2) Advanced lighting controls (8) Biomass CHP (6) Optimized floor plan (28) Load management (15) Biomass-fired boilers (4) Thermal zoning (9) Mechanical air heat recovery (20) Geothermal (14) Advanced envelope (27) Hot water heat recovery (9) Building footprint (27) Advanced glazing (11) Displacement ventilation (2) Passive solar heat gain (23) Radiant cooling (11) Thermal mass (23) Air source heat pump (10) Solar shading (29) Ceiling fans/evaporative cooling (6) …”

Section: Passive Approachesmentioning

confidence: 99%

“…Nearly/net zero energy buildings (nZEBs), an innovative concept for sustainable buildings, has attracted increasing attentions, which is regarded as a mean to energy-saving and carbon emission reduction. By applying energy sufficiency measures and the integration of renewable energy systems in buildings, it is possible to achieve the target of nearly/net zero energy balance and maintain a sustainable, healthy and grid-friendly building [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings

2015

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“…The overall approach for the energy device forecasting model training is to firstly develop the physics based models using Eqs. (3)-(9), and then identify the parameters based on the mature simulation models from a validated emulator in TRNSYS [42]. Fig.…”

Section: Forecasting Model Training and Validationmentioning

confidence: 99%

An operation optimization and decision framework for a building cluster with distributed energy systems

Wen

Malkawi

2016

Applied Energy

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h i g h l i g h t sDeveloped and validated energy forecasting models for a building cluster with distributed energy systems. Proposed an operation optimization and decision framework for the building cluster. Optimized the operation strategies through particle swarm algorithm based multi-objective optimizations. Derived the Pareto frontiers to balance the energy cost saving and thermal comfort. a b s t r a c tDriven by the development of smart buildings and smart grids, numerous of research has focused on developing optimal operation strategies for smart buildings with the aims of reducing energy consumption and cost, as well as improving the grid reliability. Unfortunately, most of the studies from smart building perspective only target on a single building with elaborated energy forecasting models. Few of them addresses the effects of multiple buildings on power grid operation. On the other hand, a few studies from smart grid area focus on multiple buildings and their influence on power grid, they usually, however, use simplified linear energy forecasting models, which are hard to guarantee the findings reflecting the cases in real fields. As a result, this research proposes to bridge this research gap, through developing and validating high fidelity energy forecasting models for a building cluster with multiple buildings and distributed energy systems, as well as creating a collaborative operation framework to determining the optimal operation strategies of this building cluster. The operation framework utilizes multi-objective optimizations to determine the operation strategies: building temperature setpoints, energy storage charging and discharging schedules, etc., using particle swarm optimization. Pareto curves for energy cost saving and thermal comfort maintaining are also derived with different thermal comfort requirements. The results from this study show that the developed building cluster collaborative operation framework is able to reduce the energy cost by 12.1-58.3% under different electricity pricing plans and thermal comfort requirements.

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Net-zero energy building clusters emulator for energy planning and operation evaluation

Cited by 45 publications

References 21 publications

A Cellular Approach to Net-Zero Energy Cities

A Cellular Approach to Net-Zero Energy Cities

Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings

An operation optimization and decision framework for a building cluster with distributed energy systems

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