Optimization of a residential district with special consideration on energy and water reliability

Campana, Pietro Elia; Quan, Steven Jige; Robbio, Federico Ignacio; Lundblad, Anders; Zhang, Yang; Ma, Tao; Karlsson, Björn; Yan, Jinyue

doi:10.1016/j.apenergy.2016.10.005

Cited by 28 publications

(21 citation statements)

References 34 publications

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“…The authors of a previous paper [30] divide rooftop area estimation methods into three. First, the constant value methods approach the problem collectively by scale-up [33,34]. Although quick and easy, they employ broad assumptions and produce generalised results.…”

Section: Methodsmentioning

confidence: 99%

A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

et al. 2018

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Knowledge of roof geometry and physical features is essential for evaluation of the impact of multiple rooftop solar photovoltaic (PV) system installations on local electricity networks. The paper starts by listing current methods used and stating their strengths and weaknesses. No current method is capable of delivering accurate results with publicly available input data. Hence a different approach is developed, based on slope and aspect using aircraft-based Light Detection and Ranging (LiDAR) data, building footprint data, GIS (Geographical Information Systems) tools, and aerial photographs. It assesses each roof’s suitability for PV deployment. That is, the characteristics of each roof are examined for fitting of at least a minimum size solar power system. In this way the minimum potential solar yield for region or city may be obtained. Accuracy is determined by ground-truthing against a database of 886 household systems. This is the largest validation of a rooftop assessment method to date. The method is flexible with few prior assumptions. It can generate data for various PV scenarios and future analyses.

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Section: Methodsmentioning

confidence: 99%

A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

et al. 2018

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“…First, the constant value methods approach the problem collectively by scale-up e.g. [17]. Although quick and easy, they employ broad assumptions and produce generalized results.…”

Section: Research Methodology In Briefmentioning

confidence: 99%

A GIS-Based Method for Identification of Wide area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

Palmer¹,

Koubli²,

Cole³

et al. 2018

Preprint

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A new method for wide-area urban roof assessment of suitability for solar photovoltaics is introduced and validated. Knowledge of roof geometry and physical features is essential for evaluation of the impact of multiple rooftop solar photovoltaic (PV) system installations on local electricity networks. This paper begins by reviewing and testing a range of existing techniques for identifying roof characteristics. It was found that no current method is capable of delivering accurate results with publicly available input data. Hence a different approach is developed, based on slope and aspect using LIDAR data, building footprint data, GIS tools and aerial photographs. It assesses each roof’s suitability for PV installation. That is, its properties should allow the installation of at least a minimum size photovoltaic system. In this way the minimum potential solar yield for region or city may be obtained. The accuracy of the new method is then established, by ground-truthing against a database of 886 household systems. This is the largest validation of a rooftop assessment method to date. The method is flexible with few prior assumptions. It is based on separate consideration of buildings and can therefore generate data for various PV scenarios and future analyses.

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“…By simultaneously performing the optimization and simulation, not only a more comprehensive spectrum of the solution is generated as an optimization population, but also the generated off-spring population reflect the effects of previous hours. Due to the complexity of coupling the simulation and optimization tool in dynamic optimization, several research works focused on the dynamic optimization using user-defined codes for system modeling 2 [12,[21][22][23].…”

Section: Static and Dynamic Optimizationmentioning

confidence: 99%

Optimization of a hybrid community district heating system integrated with thermal energy storage system

Talebi

Haghighat

Tuohy

et al. 2019

Journal of Energy Storage

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Evidence from a various research suggests that buildings hold a vital role in climate change by significantly contributing to the global energy consumption and the emission of greenhouse gases. Considering the trend of higher energy consumption in the building sector, it is important to influence this sector by decreasing its energy demand. District generation and cogeneration systems integrated with the energy storage system have been suggested as a potential solution to achieve such planned goals. Unlike the older generation of the DHS, where the focus of the design was on minimizing the system heat loss, in 4 th generation DHS, achieving higher system efficiency is made possible by picking the optimal equipment size as well as adopting the appropriate control strategy. Designers have adopted different design methods for selecting the equipment size, however, finding the optimal size is a challenging task. This paper reports the development of a simplified methodology (dynamic optimization) for a hybrid community-district heating system (H-CDHS) integrated with a thermal energy storage system by coupling the simulation and optimization tools together. Two, existing and newly built communities, have been considered and the results of the optimization on the equipment size of both communities have been studied. The results for the newly built community is later compared with the one obtained from the conventional equipment size methods whereas static optimization methods and potential size reduction with the conventional method has been obtained.

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Optimization of a residential district with special consideration on energy and water reliability

Cited by 28 publications

References 34 publications

A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

A GIS-Based Method for Identification of Wide area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry

Optimization of a hybrid community district heating system integrated with thermal energy storage system

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